---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '19369'
abstract:
- lang: eng
  text: Monitoring and estimating mountain snowpack mass over regional scales is still
    a challenge because of the inadequacy of observational networks in capturing spatiotemporal
    variability, and limitations in remotely sensed retrievals. Recent work using
    C-band synthetic aperture radar (SAR) backscatter data from the Sentinel-1 satellite
    mission has shown good promise for tracking mountain snow depth over specific
    northern hemisphere ranges, although the broader potential is still unknown. Here,
    we extend the new Sentinel-1 based modeling framework beyond the northern hemisphere
    by only utilizing globally available input data, and evaluate different model
    parametrization and model performance over the Chilean and Argentine Andes mountains,
    which contain the largest mountain snowpack in the southern hemisphere. The accuracy
    of Sentinel-1 snow depth estimates is evaluated against an extensive in situ network
    available for the region. Satellite-retrieved snow depth is found to have poorer
    performance across the Andes than observed for northern hemisphere mountain ranges
    because of greater sensitivity to evergreen forest cover and shallower snowpacks.
    The algorithm does offer some skill but performance is variable and site-dependent.
    Algorithm performance is best over regions with limited evergreen forest cover
    (<15%) and snow depths greater than 0.75 m, although the retrievals over-estimate
    snow depth across most sites. Systemic errors for specific snow classes and across
    different snow depths are shown, highlighting specific areas in need of further
    investigation and development.
acknowledgement: This research was supported by the University of Queensland's PhD
  scholarship program, the Australian Research Council under the Future Fellowship
  program (Project ID:FT140100977), and the Sustainable Minerals Institute International
  Centre of Excellence (Chile). Fiona Johnson is supported by a UNSW Scientia Funding
  and ARC Training Centre in Data Analytics for Resources and Environments(Grant IC190100031).
  The authors also thank Liliana Pagliero, Maxi Viale and Rodrigo Correa for their
  support with obtaining the DGA, SNIH, and Codelco data sets, and the PlanetLabs
  research and education initiative for free imagery. Open access publishing facilitated
  by The University of Queensland, as part of the Wiley ‐ The University of Queensland
  agreement via the Council of Australian University Librarians.
article_number: e2024WR037766
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: N.
  full_name: Bulovic, N.
  last_name: Bulovic
- first_name: F.
  full_name: Johnson, F.
  last_name: Johnson
- first_name: H.
  full_name: Lievens, H.
  last_name: Lievens
- first_name: Thomas
  full_name: Shaw, Thomas
  id: 3caa3f91-1f03-11ee-96ce-e0e553054d6e
  last_name: Shaw
  orcid: 0000-0001-7640-6152
- first_name: J.
  full_name: Mcphee, J.
  last_name: Mcphee
- first_name: S.
  full_name: Gascoin, S.
  last_name: Gascoin
- first_name: M.
  full_name: Demuzere, M.
  last_name: Demuzere
- first_name: N.
  full_name: Mcintyre, N.
  last_name: Mcintyre
citation:
  ama: Bulovic N, Johnson F, Lievens H, et al. Evaluating the performance of sentinel-1
    SAR derived snow depth retrievals over the extratropical Andes cordillera. <i>Water
    Resources Research</i>. 2025;61(2). doi:<a href="https://doi.org/10.1029/2024WR037766">10.1029/2024WR037766</a>
  apa: Bulovic, N., Johnson, F., Lievens, H., Shaw, T., Mcphee, J., Gascoin, S., …
    Mcintyre, N. (2025). Evaluating the performance of sentinel-1 SAR derived snow
    depth retrievals over the extratropical Andes cordillera. <i>Water Resources Research</i>.
    Wiley. <a href="https://doi.org/10.1029/2024WR037766">https://doi.org/10.1029/2024WR037766</a>
  chicago: Bulovic, N., F. Johnson, H. Lievens, Thomas Shaw, J. Mcphee, S. Gascoin,
    M. Demuzere, and N. Mcintyre. “Evaluating the Performance of Sentinel-1 SAR Derived
    Snow Depth Retrievals over the Extratropical Andes Cordillera.” <i>Water Resources
    Research</i>. Wiley, 2025. <a href="https://doi.org/10.1029/2024WR037766">https://doi.org/10.1029/2024WR037766</a>.
  ieee: N. Bulovic <i>et al.</i>, “Evaluating the performance of sentinel-1 SAR derived
    snow depth retrievals over the extratropical Andes cordillera,” <i>Water Resources
    Research</i>, vol. 61, no. 2. Wiley, 2025.
  ista: Bulovic N, Johnson F, Lievens H, Shaw T, Mcphee J, Gascoin S, Demuzere M,
    Mcintyre N. 2025. Evaluating the performance of sentinel-1 SAR derived snow depth
    retrievals over the extratropical Andes cordillera. Water Resources Research.
    61(2), e2024WR037766.
  mla: Bulovic, N., et al. “Evaluating the Performance of Sentinel-1 SAR Derived Snow
    Depth Retrievals over the Extratropical Andes Cordillera.” <i>Water Resources
    Research</i>, vol. 61, no. 2, e2024WR037766, Wiley, 2025, doi:<a href="https://doi.org/10.1029/2024WR037766">10.1029/2024WR037766</a>.
  short: N. Bulovic, F. Johnson, H. Lievens, T. Shaw, J. Mcphee, S. Gascoin, M. Demuzere,
    N. Mcintyre, Water Resources Research 61 (2025).
date_created: 2025-03-09T23:01:27Z
date_published: 2025-02-01T00:00:00Z
date_updated: 2025-09-30T10:48:43Z
day: '01'
ddc:
- '550'
department:
- _id: FrPe
doi: 10.1029/2024WR037766
external_id:
  isi:
  - '001419509100001'
file:
- access_level: open_access
  checksum: 8ff09dcae2e508fd72aee80300fc40e2
  content_type: application/pdf
  creator: dernst
  date_created: 2025-03-10T08:16:05Z
  date_updated: 2025-03-10T08:16:05Z
  file_id: '19377'
  file_name: 2025_WaterResourcesResearch_Bulovic.pdf
  file_size: 6362563
  relation: main_file
  success: 1
file_date_updated: 2025-03-10T08:16:05Z
fulldoi: https://doi.org/10.1029/2024WR037766
has_accepted_license: '1'
intvolume: '        61'
isi: 1
issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '02'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evaluating the performance of sentinel-1 SAR derived snow depth retrievals
  over the extratropical Andes cordillera
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 61
year: '2025'
...
---
OA_place: publisher
OA_type: gold
_id: '22438'
abstract:
- lang: eng
  text: The topography of a landscape regulates the spatial distribution of water
    and energy fluxes, which are main drivers of vegetation and soil carbon and nutrient
    dynamics. Despite the recognized role of topography in mediating such processes,
    quantifying and predicting the spatial distribution of carbon and nutrient fluxes
    and stocks in highly heterogeneous landscapes remains challenging. The main limitations
    stem from the prevalence of largely decoupled modeling approaches which fail to
    concurrently account for ecohydrological and biogeochemical processes as well
    as the lack of adequate frameworks describing the links among topography, water
    and energy balances, and soil biogeochemical dynamics. Here, we extend the capabilities
    of the mechanistic ecohydrological model Tethys-Chloris-Biogeochemistry (T&C-BG)
    by including a soil carbon and nutrient routing module in the distributed model
    version. The newly developed T&C-BG-2D model is validated against long-term hydrological
    and biogeochemical measurements from the Hafren catchment in Wales (UK) and the
    Erlenbach catchment in the Swiss pre-Alps. The model successfully captures carbon
    and nutrient concentrations and dynamics in these catchments, with relative differences
    between simulated and observed median values of between −4% and −0.3% for dissolved
    organic carbon, and between 1% and 20% for ammonia. A sensitivity analysis in
    the Erlenbach basin suggests that elevation explains over 80% of the observed
    spatial patterns, followed by topographic wetness index (12.6%), aspect (2.9%),
    and curvature (2.1%). These findings underscore topography's critical role in
    shaping water, carbon, and nutrient dynamics, which cannot be reflected in plot-scale
    simulations neglecting spatial interactions and topographic effects.
article_number: e2025WR040260
article_processing_charge: No
article_type: original
author:
- first_name: Taiqi
  full_name: Lian, Taiqi
  last_name: Lian
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Manfred
  full_name: Stähli, Manfred
  last_name: Stähli
- first_name: Sara
  full_name: Bonetti, Sara
  last_name: Bonetti
citation:
  ama: Lian T, Fatichi S, Stähli M, Bonetti S. Assessing spatial patterns of carbon
    and nutrient dynamics in catchments of complex topography. <i>Water Resources
    Research</i>. 2025;61(10). doi:<a href="https://doi.org/10.1029/2025wr040260">10.1029/2025wr040260</a>
  apa: Lian, T., Fatichi, S., Stähli, M., &#38; Bonetti, S. (2025). Assessing spatial
    patterns of carbon and nutrient dynamics in catchments of complex topography.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2025wr040260">https://doi.org/10.1029/2025wr040260</a>
  chicago: Lian, Taiqi, Simone Fatichi, Manfred Stähli, and Sara Bonetti. “Assessing
    Spatial Patterns of Carbon and Nutrient Dynamics in Catchments of Complex Topography.”
    <i>Water Resources Research</i>. American Geophysical Union, 2025. <a href="https://doi.org/10.1029/2025wr040260">https://doi.org/10.1029/2025wr040260</a>.
  ieee: T. Lian, S. Fatichi, M. Stähli, and S. Bonetti, “Assessing spatial patterns
    of carbon and nutrient dynamics in catchments of complex topography,” <i>Water
    Resources Research</i>, vol. 61, no. 10. American Geophysical Union, 2025.
  ista: Lian T, Fatichi S, Stähli M, Bonetti S. 2025. Assessing spatial patterns of
    carbon and nutrient dynamics in catchments of complex topography. Water Resources
    Research. 61(10), e2025WR040260.
  mla: Lian, Taiqi, et al. “Assessing Spatial Patterns of Carbon and Nutrient Dynamics
    in Catchments of Complex Topography.” <i>Water Resources Research</i>, vol. 61,
    no. 10, e2025WR040260, American Geophysical Union, 2025, doi:<a href="https://doi.org/10.1029/2025wr040260">10.1029/2025wr040260</a>.
  short: T. Lian, S. Fatichi, M. Stähli, S. Bonetti, Water Resources Research 61 (2025).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2025-10-01T00:00:00Z
date_updated: 2026-08-03T13:54:32Z
day: '01'
ddc:
- '550'
doi: 10.1029/2025wr040260
extern: '1'
fulldoi: https://doi.org/10.1029/2025wr040260
intvolume: '        61'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2025WR040260
month: '10'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Assessing spatial patterns of carbon and nutrient dynamics in catchments of
  complex topography
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 61
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22553'
abstract:
- lang: eng
  text: Tidal freshwater marshes are threatened by seawater intrusion globally due
    to freshwater discharge reduction and sea-level rise. However, terrestrial nitrate
    (NO3−) transport responding to seawater intrusion remains poorly understood in
    tidal marshes. After validation against laboratory experiments, numerical simulations
    were conducted to analyze seawater intrusion effects on terrestrial NO3− transport
    and transformation in tidal marsh aquifers. Results reveal that seawater intrusion
    noticeably affects NO3− transport from the marsh aquifer to the tidal creek. Seawater
    intrusion results in an upper saline plume and a saltwater wedge within the aquifer,
    which markedly narrows the discharge outlet width of the NO3− plume and intensifies
    the peak NO3− flux across the creek bank. Consequently, both the NO3− removal
    efficiency and total nitrogen gas load to the creek decrease substantially after
    seawater intrusion. This is because the reduction of the transit time and the
    mixing zone width of the NO3− plume after seawater intrusion weakens denitrification.
    Sensitivity analyses indicate that the difference of the NO3− removal efficiency
    before and after seawater intrusion depends on soil properties. A larger unsaturated
    flow effect, saturated hydraulic conductivity or effective porosity leads to a
    greater difference of the NO3− removal efficiency before and after seawater intrusion.
    The predicted decrease of the NO3− removal efficiency after seawater intrusion
    is consistent with existing field data.
article_number: e2024WR038107
article_processing_charge: No
article_type: original
author:
- first_name: Zhaoyang
  full_name: Luo, Zhaoyang
  last_name: Luo
- first_name: Jun
  full_name: Kong, Jun
  last_name: Kong
- first_name: Xiayang
  full_name: Yu, Xiayang
  last_name: Yu
- first_name: Chao
  full_name: Gao, Chao
  last_name: Gao
- first_name: D. A.
  full_name: Barry, D. A.
  last_name: Barry
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Luo Z, Kong J, Yu X, Gao C, Barry DA, Fatichi S. Seawater intrusion inhibits
    nitrate removal in tidal marsh aquifers. <i>Water Resources Research</i>. 2024;60(9).
    doi:<a href="https://doi.org/10.1029/2024wr038107">10.1029/2024wr038107</a>
  apa: Luo, Z., Kong, J., Yu, X., Gao, C., Barry, D. A., &#38; Fatichi, S. (2024).
    Seawater intrusion inhibits nitrate removal in tidal marsh aquifers. <i>Water
    Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2024wr038107">https://doi.org/10.1029/2024wr038107</a>
  chicago: Luo, Zhaoyang, Jun Kong, Xiayang Yu, Chao Gao, D. A. Barry, and Simone
    Fatichi. “Seawater Intrusion Inhibits Nitrate Removal in Tidal Marsh Aquifers.”
    <i>Water Resources Research</i>. American Geophysical Union, 2024. <a href="https://doi.org/10.1029/2024wr038107">https://doi.org/10.1029/2024wr038107</a>.
  ieee: Z. Luo, J. Kong, X. Yu, C. Gao, D. A. Barry, and S. Fatichi, “Seawater intrusion
    inhibits nitrate removal in tidal marsh aquifers,” <i>Water Resources Research</i>,
    vol. 60, no. 9. American Geophysical Union, 2024.
  ista: Luo Z, Kong J, Yu X, Gao C, Barry DA, Fatichi S. 2024. Seawater intrusion
    inhibits nitrate removal in tidal marsh aquifers. Water Resources Research. 60(9),
    e2024WR038107.
  mla: Luo, Zhaoyang, et al. “Seawater Intrusion Inhibits Nitrate Removal in Tidal
    Marsh Aquifers.” <i>Water Resources Research</i>, vol. 60, no. 9, e2024WR038107,
    American Geophysical Union, 2024, doi:<a href="https://doi.org/10.1029/2024wr038107">10.1029/2024wr038107</a>.
  short: Z. Luo, J. Kong, X. Yu, C. Gao, D.A. Barry, S. Fatichi, Water Resources Research
    60 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-08-10T11:59:23Z
day: '01'
doi: 10.1029/2024wr038107
extern: '1'
fulldoi: https://doi.org/10.1029/2024wr038107
intvolume: '        60'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2024WR038107
month: '09'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Seawater intrusion inhibits nitrate removal in tidal marsh aquifers
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 60
year: '2024'
...
---
_id: '14487'
abstract:
- lang: eng
  text: High Mountain Asia (HMA) is among the most vulnerable water towers globally
    and yet future projections of water availability in and from its high-mountain
    catchments remain uncertain, as their hydrologic response to ongoing environmental
    changes is complex. Mechanistic modeling approaches incorporating cryospheric,
    hydrological, and vegetation processes in high spatial, temporal, and physical
    detail have never been applied for high-elevation catchments of HMA. We use a
    land surface model at high spatial and temporal resolution (100 m and hourly)
    to simulate the coupled dynamics of energy, water, and vegetation for the 350
    km2 Langtang catchment (Nepal). We compare our model outputs for one hydrological
    year against a large set of observations to gain insight into the partitioning
    of the water balance at the subseasonal scale and across elevation bands. During
    the simulated hydrological year, we find that evapotranspiration is a key component
    of the total water balance, as it causes about the equivalent of 20% of all the
    available precipitation or 154% of the water production from glacier melt in the
    basin to return directly to the atmosphere. The depletion of the cryospheric water
    budget is dominated by snow melt, but at high elevations is primarily dictated
    by snow and ice sublimation. Snow sublimation is the dominant vapor flux (49%)
    at the catchment scale, accounting for the equivalent of 11% of snowfall, 17%
    of snowmelt, and 75% of ice melt, respectively. We conclude that simulations should
    consider sublimation and other evaporative fluxes explicitly, as otherwise water
    balance estimates can be ill-quantified.
acknowledgement: This project has received funding from the JSPS-SNSF (Japan Society
  for the Promotion of Science and Swiss National Science Foundation) Bilateral Programmes
  project (HOPE, High-ele-vation precipitation in High Mountain Asia; Grant 183633),
  and the European Research Council (ERC) under the European Union's Horizon 2020
  research and innovation program (RAVEN, Rapid mass losses of debris-covered glaciers
  in High Mountain Asia; Grant 772751). We want to thank in particular T. Gurung,
  S. Joshi, J. Shea, W. Immerzeel, and others involved, as well as ICIMOD, for their
  efforts over the past years in observing the meteorology of the Langtang catchment,
  collecting and organizing the data and making them publicly available. We also thank
  the National Geographic Society (Grant NGS-61784R-19) and the Mount Everest Foundation
  (reference 19-24) for providing fieldwork funding for C. L. Fyffe. We thank T. Kramer
  for help with the WSL Hyperion cluster. We are grate-ful for comments by three anonymous
  reviewers and the Associate Editor, who greatly helped to improve the manuscript
  further. Open access funding provided by ETH-Bereich Forschungsanstalten.
article_number: e2022WR033841
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Pascal
  full_name: Buri, Pascal
  last_name: Buri
- first_name: Simone
  full_name: Fatichi, Simone
  last_name: Fatichi
- first_name: Thomas
  full_name: Shaw, Thomas
  id: 3caa3f91-1f03-11ee-96ce-e0e553054d6e
  last_name: Shaw
  orcid: 0000-0001-7640-6152
- first_name: Evan S.
  full_name: Miles, Evan S.
  last_name: Miles
- first_name: Michael
  full_name: Mccarthy, Michael
  id: 22a2674a-61ce-11ee-94b5-d18813baf16f
  last_name: Mccarthy
- first_name: Catriona Louise
  full_name: Fyffe, Catriona Louise
  id: 001b0422-8d15-11ed-bc51-cab6c037a228
  last_name: Fyffe
- first_name: Stefan
  full_name: Fugger, Stefan
  last_name: Fugger
- first_name: Shaoting
  full_name: Ren, Shaoting
  last_name: Ren
- first_name: Marin
  full_name: Kneib, Marin
  last_name: Kneib
- first_name: Achille
  full_name: Jouberton, Achille
  last_name: Jouberton
- first_name: Jakob
  full_name: Steiner, Jakob
  last_name: Steiner
- first_name: Koji
  full_name: Fujita, Koji
  last_name: Fujita
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
  orcid: 0000-0002-5554-8087
citation:
  ama: 'Buri P, Fatichi S, Shaw T, et al. Land surface modeling in the Himalayas:
    On the importance of evaporative fluxes for the water balance of a high-elevation
    catchment. <i>Water Resources Research</i>. 2023;59(10). doi:<a href="https://doi.org/10.1029/2022WR033841">10.1029/2022WR033841</a>'
  apa: 'Buri, P., Fatichi, S., Shaw, T., Miles, E. S., McCarthy, M., Fyffe, C. L.,
    … Pellicciotti, F. (2023). Land surface modeling in the Himalayas: On the importance
    of evaporative fluxes for the water balance of a high-elevation catchment. <i>Water
    Resources Research</i>. Wiley. <a href="https://doi.org/10.1029/2022WR033841">https://doi.org/10.1029/2022WR033841</a>'
  chicago: 'Buri, Pascal, Simone Fatichi, Thomas Shaw, Evan S. Miles, Michael McCarthy,
    Catriona Louise Fyffe, Stefan Fugger, et al. “Land Surface Modeling in the Himalayas:
    On the Importance of Evaporative Fluxes for the Water Balance of a High-Elevation
    Catchment.” <i>Water Resources Research</i>. Wiley, 2023. <a href="https://doi.org/10.1029/2022WR033841">https://doi.org/10.1029/2022WR033841</a>.'
  ieee: 'P. Buri <i>et al.</i>, “Land surface modeling in the Himalayas: On the importance
    of evaporative fluxes for the water balance of a high-elevation catchment,” <i>Water
    Resources Research</i>, vol. 59, no. 10. Wiley, 2023.'
  ista: 'Buri P, Fatichi S, Shaw T, Miles ES, McCarthy M, Fyffe CL, Fugger S, Ren
    S, Kneib M, Jouberton A, Steiner J, Fujita K, Pellicciotti F. 2023. Land surface
    modeling in the Himalayas: On the importance of evaporative fluxes for the water
    balance of a high-elevation catchment. Water Resources Research. 59(10), e2022WR033841.'
  mla: 'Buri, Pascal, et al. “Land Surface Modeling in the Himalayas: On the Importance
    of Evaporative Fluxes for the Water Balance of a High-Elevation Catchment.” <i>Water
    Resources Research</i>, vol. 59, no. 10, e2022WR033841, Wiley, 2023, doi:<a href="https://doi.org/10.1029/2022WR033841">10.1029/2022WR033841</a>.'
  short: P. Buri, S. Fatichi, T. Shaw, E.S. Miles, M. McCarthy, C.L. Fyffe, S. Fugger,
    S. Ren, M. Kneib, A. Jouberton, J. Steiner, K. Fujita, F. Pellicciotti, Water
    Resources Research 59 (2023).
date_created: 2023-11-05T23:00:53Z
date_published: 2023-10-25T00:00:00Z
date_updated: 2025-09-09T13:15:40Z
day: '25'
ddc:
- '550'
department:
- _id: FrPe
doi: 10.1029/2022WR033841
external_id:
  isi:
  - '001091989600005'
file:
- access_level: open_access
  checksum: 7ba9c87228dc09029b16bc800a0ef1a1
  content_type: application/pdf
  creator: dernst
  date_created: 2023-11-07T08:10:44Z
  date_updated: 2023-11-07T08:10:44Z
  file_id: '14495'
  file_name: 2023_WaterResourcesResearch_Buri.pdf
  file_size: 5554901
  relation: main_file
  success: 1
file_date_updated: 2023-11-07T08:10:44Z
fulldoi: https://doi.org/10.1029/2022WR033841
has_accepted_license: '1'
intvolume: '        59'
isi: 1
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
  record:
  - id: '14494'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: 'Land surface modeling in the Himalayas: On the importance of evaporative fluxes
  for the water balance of a high-elevation catchment'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 59
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22505'
abstract:
- lang: eng
  text: High Mountain Asia (HMA) is among the most vulnerable water towers globally
    and yet future projections of water availability in and from its high-mountain
    catchments remain uncertain, as their hydrologic response to ongoing environmental
    changes is complex. Mechanistic modeling approaches incorporating cryospheric,
    hydrological, and vegetation processes in high spatial, temporal, and physical
    detail have never been applied for high-elevation catchments of HMA. We use a
    land surface model at high spatial and temporal resolution (100 m and hourly)
    to simulate the coupled dynamics of energy, water, and vegetation for the 350
    km2 Langtang catchment (Nepal). We compare our model outputs for one hydrological
    year against a large set of observations to gain insight into the partitioning
    of the water balance at the subseasonal scale and across elevation bands. During
    the simulated hydrological year, we find that evapotranspiration is a key component
    of the total water balance, as it causes about the equivalent of 20% of all the
    available precipitation or 154% of the water production from glacier melt in the
    basin to return directly to the atmosphere. The depletion of the cryospheric water
    budget is dominated by snow melt, but at high elevations is primarily dictated
    by snow and ice sublimation. Snow sublimation is the dominant vapor flux (49%)
    at the catchment scale, accounting for the equivalent of 11% of snowfall, 17%
    of snowmelt, and 75% of ice melt, respectively. We conclude that simulations should
    consider sublimation and other evaporative fluxes explicitly, as otherwise water
    balance estimates can be ill-quantified.
article_number: e2022WR033841
article_processing_charge: No
article_type: original
author:
- first_name: Pascal
  full_name: Buri, Pascal
  last_name: Buri
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Thomas E.
  full_name: Shaw, Thomas E.
  last_name: Shaw
- first_name: Evan S.
  full_name: Miles, Evan S.
  last_name: Miles
- first_name: Michael J.
  full_name: McCarthy, Michael J.
  last_name: McCarthy
- first_name: Catriona L.
  full_name: Fyffe, Catriona L.
  last_name: Fyffe
- first_name: Stefan
  full_name: Fugger, Stefan
  last_name: Fugger
- first_name: Shaoting
  full_name: Ren, Shaoting
  last_name: Ren
- first_name: Marin
  full_name: Kneib, Marin
  last_name: Kneib
- first_name: Achille
  full_name: Jouberton, Achille
  last_name: Jouberton
- first_name: Jakob
  full_name: Steiner, Jakob
  last_name: Steiner
- first_name: Koji
  full_name: Fujita, Koji
  last_name: Fujita
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  last_name: Pellicciotti
citation:
  ama: 'Buri P, Fatichi S, Shaw TE, et al. Land surface modeling in the himalayas:
    on the importance of evaporative fluxes for the water balance of a high‐elevation
    catchment. <i>Water Resources Research</i>. 2023;59(10). doi:<a href="https://doi.org/10.1029/2022wr033841">10.1029/2022wr033841</a>'
  apa: 'Buri, P., Fatichi, S., Shaw, T. E., Miles, E. S., McCarthy, M. J., Fyffe,
    C. L., … Pellicciotti, F. (2023). Land surface modeling in the himalayas: on the
    importance of evaporative fluxes for the water balance of a high‐elevation catchment.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2022wr033841">https://doi.org/10.1029/2022wr033841</a>'
  chicago: 'Buri, Pascal, Simone Fatichi, Thomas E. Shaw, Evan S. Miles, Michael J.
    McCarthy, Catriona L. Fyffe, Stefan Fugger, et al. “Land Surface Modeling in the
    Himalayas: On the Importance of Evaporative Fluxes for the Water Balance of a
    High‐elevation Catchment.” <i>Water Resources Research</i>. American Geophysical
    Union, 2023. <a href="https://doi.org/10.1029/2022wr033841">https://doi.org/10.1029/2022wr033841</a>.'
  ieee: 'P. Buri <i>et al.</i>, “Land surface modeling in the himalayas: on the importance
    of evaporative fluxes for the water balance of a high‐elevation catchment,” <i>Water
    Resources Research</i>, vol. 59, no. 10. American Geophysical Union, 2023.'
  ista: 'Buri P, Fatichi S, Shaw TE, Miles ES, McCarthy MJ, Fyffe CL, Fugger S, Ren
    S, Kneib M, Jouberton A, Steiner J, Fujita K, Pellicciotti F. 2023. Land surface
    modeling in the himalayas: on the importance of evaporative fluxes for the water
    balance of a high‐elevation catchment. Water Resources Research. 59(10), e2022WR033841.'
  mla: 'Buri, Pascal, et al. “Land Surface Modeling in the Himalayas: On the Importance
    of Evaporative Fluxes for the Water Balance of a High‐elevation Catchment.” <i>Water
    Resources Research</i>, vol. 59, no. 10, e2022WR033841, American Geophysical Union,
    2023, doi:<a href="https://doi.org/10.1029/2022wr033841">10.1029/2022wr033841</a>.'
  short: P. Buri, S. Fatichi, T.E. Shaw, E.S. Miles, M.J. McCarthy, C.L. Fyffe, S.
    Fugger, S. Ren, M. Kneib, A. Jouberton, J. Steiner, K. Fujita, F. Pellicciotti,
    Water Resources Research 59 (2023).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2026-08-11T05:45:52Z
day: '01'
doi: 10.1029/2022wr033841
extern: '1'
fulldoi: https://doi.org/10.1029/2022wr033841
intvolume: '        59'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2022WR033841
month: '10'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Land surface modeling in the himalayas: on the importance of evaporative fluxes
  for the water balance of a high‐elevation catchment'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 59
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22554'
abstract:
- lang: eng
  text: 'Investigating modifications in the hydrological cycle is essential to understand
    the impacts of climate change on ecosystems. This study assesses the change in
    the velocity of the water cycle over land at the global scale, whereas previous
    studies have mostly focused on changes in the atmospheric water cycle. The hydrological
    acceleration is quantified by a decrease in average residence time (RT) of water
    in the first meter of soil. The soil water RT is shown to be sensitive to the
    soil texture and seasonality of hydroclimatic variables. Despite substantial local
    variability, most of the RTs are in the range of 50–300 days. The global mean
    soil water RT declined at a rate of −2.30 and −0.36 days decade−1 (−1.6 to 1.0
    days decade−1 the range of nine models) from 2001 to 2020 as measured by reanalysis
    and CMIP6 simulations for the historical scenario, respectively, which corresponds
    to −6.8 and −1.1 days °C−1 when expressed per degree of global warming over land.
    This acceleration is projected to continue at a rate of −1.35 days decade−1 (−3.4
    to 0.0 days decade−1 the range of nine models) or −2.2 days °C−1 during the period
    2015–2100 under the most extreme emission scenario: SSP 585. Changes in precipitation
    dominantly drive the acceleration of the terrestrial water cycle compared to changes
    in evapotranspiration. Rising temperatures and increasing carbon dioxide have
    opposite effects on the speed of the terrestrial water cycle with compensatory
    roles keeping RT relatively unchanged in the absence of PR trends.'
article_number: e2022WR033970
article_processing_charge: No
article_type: original
author:
- first_name: Y.
  full_name: Wang, Y.
  last_name: Wang
- first_name: N.
  full_name: Meili, N.
  last_name: Meili
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Wang Y, Meili N, Fatichi S. Evidence and controls of the acceleration of the
    hydrological cycle over land. <i>Water Resources Research</i>. 2023;59(8). doi:<a
    href="https://doi.org/10.1029/2022wr033970">10.1029/2022wr033970</a>
  apa: Wang, Y., Meili, N., &#38; Fatichi, S. (2023). Evidence and controls of the
    acceleration of the hydrological cycle over land. <i>Water Resources Research</i>.
    American Geophysical Union. <a href="https://doi.org/10.1029/2022wr033970">https://doi.org/10.1029/2022wr033970</a>
  chicago: Wang, Y., N. Meili, and Simone Fatichi. “Evidence and Controls of the Acceleration
    of the Hydrological Cycle over Land.” <i>Water Resources Research</i>. American
    Geophysical Union, 2023. <a href="https://doi.org/10.1029/2022wr033970">https://doi.org/10.1029/2022wr033970</a>.
  ieee: Y. Wang, N. Meili, and S. Fatichi, “Evidence and controls of the acceleration
    of the hydrological cycle over land,” <i>Water Resources Research</i>, vol. 59,
    no. 8. American Geophysical Union, 2023.
  ista: Wang Y, Meili N, Fatichi S. 2023. Evidence and controls of the acceleration
    of the hydrological cycle over land. Water Resources Research. 59(8), e2022WR033970.
  mla: Wang, Y., et al. “Evidence and Controls of the Acceleration of the Hydrological
    Cycle over Land.” <i>Water Resources Research</i>, vol. 59, no. 8, e2022WR033970,
    American Geophysical Union, 2023, doi:<a href="https://doi.org/10.1029/2022wr033970">10.1029/2022wr033970</a>.
  short: Y. Wang, N. Meili, S. Fatichi, Water Resources Research 59 (2023).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2026-08-12T08:32:38Z
day: '01'
doi: 10.1029/2022wr033970
extern: '1'
fulldoi: https://doi.org/10.1029/2022wr033970
intvolume: '        59'
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2022WR033970
month: '08'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evidence and controls of the acceleration of the hydrological cycle over land
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 59
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22515'
abstract:
- lang: eng
  text: Hydrological, ecohydrological, and terrestrial biosphere models depend on
    pedotransferfunctions for computing soil hydraulic parameters based on easily
    measurable variables, such as soil texturaland physical properties. Several pedotransfer
    functions have been derived in the last few decades, providingdivergent estimates
    of soil hydraulic parameters. In this study, we quantify how uncertainties embedded
    inusing different pedotransfer functions propagate to ecosystem dynamics, including
    simulated hydrologicalfluxes and vegetation response to water availability. Using
    a state-of-the-art ecohydrological model applied at79 sites worldwide, we show
    that uncertainties related to pedotransfer functions can affect both hydrologicaland
    vegetation dynamics. Uncertainties in evapotranspiration, plant productivity,
    and vegetation structure,quantified as leaf area, are in the order of ∼10% at
    annual time scales. Runoff and groundwater rechargeuncertainties are one order
    of magnitude larger. All uncertainties are largely amplified when small-scaletopography
    is taken into account in a distributed domain, especially for water-limited ecosystems
    with lowpermeability soils. Overall, pedotransfer function related uncertainties
    for a given soil type are higher thanuncertainties across soil types in both hydrological
    and ecosystem dynamics. The magnitude of uncertainties isclimate-dependent but
    not soil type-dependent. Evapotranspiration, vegetation structure, and plant productivityuncertainties
    are higher in water-limited semiarid climates, whereas groundwater recharge uncertainties
    arehigher in climates where potential evapotranspiration is comparable to precipitation.
article_number: e2021WR031871
article_processing_charge: No
article_type: original
author:
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Sara
  full_name: Bonetti, Sara
  last_name: Bonetti
- first_name: Yanran
  full_name: Guo, Yanran
  last_name: Guo
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Paschalis A, Bonetti S, Guo Y, Fatichi S. On the uncertainty induced by pedotransfer
    functions in terrestrial biosphere modeling. <i>Water Resources Research</i>.
    2022;58(9). doi:<a href="https://doi.org/10.1029/2021wr031871">10.1029/2021wr031871</a>
  apa: Paschalis, A., Bonetti, S., Guo, Y., &#38; Fatichi, S. (2022). On the uncertainty
    induced by pedotransfer functions in terrestrial biosphere modeling. <i>Water
    Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2021wr031871">https://doi.org/10.1029/2021wr031871</a>
  chicago: Paschalis, Athanasios, Sara Bonetti, Yanran Guo, and Simone Fatichi. “On
    the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling.”
    <i>Water Resources Research</i>. American Geophysical Union, 2022. <a href="https://doi.org/10.1029/2021wr031871">https://doi.org/10.1029/2021wr031871</a>.
  ieee: A. Paschalis, S. Bonetti, Y. Guo, and S. Fatichi, “On the uncertainty induced
    by pedotransfer functions in terrestrial biosphere modeling,” <i>Water Resources
    Research</i>, vol. 58, no. 9. American Geophysical Union, 2022.
  ista: Paschalis A, Bonetti S, Guo Y, Fatichi S. 2022. On the uncertainty induced
    by pedotransfer functions in terrestrial biosphere modeling. Water Resources Research.
    58(9), e2021WR031871.
  mla: Paschalis, Athanasios, et al. “On the Uncertainty Induced by Pedotransfer Functions
    in Terrestrial Biosphere Modeling.” <i>Water Resources Research</i>, vol. 58,
    no. 9, e2021WR031871, American Geophysical Union, 2022, doi:<a href="https://doi.org/10.1029/2021wr031871">10.1029/2021wr031871</a>.
  short: A. Paschalis, S. Bonetti, Y. Guo, S. Fatichi, Water Resources Research 58
    (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2026-08-06T11:26:11Z
day: '01'
doi: 10.1029/2021wr031871
extern: '1'
fulldoi: https://doi.org/10.1029/2021wr031871
intvolume: '        58'
issue: '9'
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1029/2021WR031871
month: '09'
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the uncertainty induced by pedotransfer functions in terrestrial biosphere
  modeling
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 58
year: '2022'
...
---
OA_place: publisher
OA_type: free access
_id: '22452'
abstract:
- lang: eng
  text: 'Model fidelity and accuracy in process representations have been the crux
    of scientific hydrological modeling, creating a pressing need for a better linkage
    between the development of hydrological models and the growing number of data
    sources and measurement techniques. Improved representation of process dynamics
    in hydrological models can provide new insights into complex hydrological systems
    and point out less understood natural phenomena that need further investigation.
    This special issue includes contributions that offer potential solutions and strategies
    to improve and test the representation of hydrological processes. We have organized
    the special issue contributions into four topical categories: (a) Beyond streamflow,
    which looks into the power of complementary data sources in addition to traditionally
    used streamflow for process inference. (b) Challenge of subsurface hydrology,
    that reflects on lesser understood processes under the surface and their impact
    on the model structure. (c) Evaporation in hydrological modeling, linking ecological
    aspects to the hydrological functioning of the natural system. Finally, (d) top
    down vs. bottom up modeling approaches, relied upon for process representation
    analysis. The special issue and our reflection on the contributions present a
    snapshot of ongoing efforts for integrating new concepts, knowledge, and data
    in process representation in hydrological models.'
article_number: e2021WR030661
article_processing_charge: No
article_type: original
author:
- first_name: Björn
  full_name: Guse, Björn
  last_name: Guse
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Shervan
  full_name: Gharari, Shervan
  last_name: Gharari
- first_name: Lieke A.
  full_name: Melsen, Lieke A.
  last_name: Melsen
citation:
  ama: 'Guse B, Fatichi S, Gharari S, Melsen LA. Advancing process representation
    in hydrological models: Integrating new concepts, knowledge, and data. <i>Water
    Resources Research</i>. 2021;57(11). doi:<a href="https://doi.org/10.1029/2021wr030661">10.1029/2021wr030661</a>'
  apa: 'Guse, B., Fatichi, S., Gharari, S., &#38; Melsen, L. A. (2021). Advancing
    process representation in hydrological models: Integrating new concepts, knowledge,
    and data. <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2021wr030661">https://doi.org/10.1029/2021wr030661</a>'
  chicago: 'Guse, Björn, Simone Fatichi, Shervan Gharari, and Lieke A. Melsen. “Advancing
    Process Representation in Hydrological Models: Integrating New Concepts, Knowledge,
    and Data.” <i>Water Resources Research</i>. American Geophysical Union, 2021.
    <a href="https://doi.org/10.1029/2021wr030661">https://doi.org/10.1029/2021wr030661</a>.'
  ieee: 'B. Guse, S. Fatichi, S. Gharari, and L. A. Melsen, “Advancing process representation
    in hydrological models: Integrating new concepts, knowledge, and data,” <i>Water
    Resources Research</i>, vol. 57, no. 11. American Geophysical Union, 2021.'
  ista: 'Guse B, Fatichi S, Gharari S, Melsen LA. 2021. Advancing process representation
    in hydrological models: Integrating new concepts, knowledge, and data. Water Resources
    Research. 57(11), e2021WR030661.'
  mla: 'Guse, Björn, et al. “Advancing Process Representation in Hydrological Models:
    Integrating New Concepts, Knowledge, and Data.” <i>Water Resources Research</i>,
    vol. 57, no. 11, e2021WR030661, American Geophysical Union, 2021, doi:<a href="https://doi.org/10.1029/2021wr030661">10.1029/2021wr030661</a>.'
  short: B. Guse, S. Fatichi, S. Gharari, L.A. Melsen, Water Resources Research 57
    (2021).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2021-11-01T00:00:00Z
date_updated: 2026-07-30T09:15:11Z
day: '01'
doi: 10.1029/2021wr030661
extern: '1'
fulldoi: https://doi.org/10.1029/2021wr030661
intvolume: '        57'
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2021WR030661
month: '11'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Advancing process representation in hydrological models: Integrating new concepts,
  knowledge, and data'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 57
year: '2021'
...
---
_id: '12594'
abstract:
- lang: eng
  text: Information about end-of-winter spatial distribution of snow depth is important
    for seasonal forecasts of spring/summer streamflow in high-mountain regions. Nevertheless,
    such information typically relies upon extrapolation from a sparse network of
    observations at low elevations. Here, we test the potential of high-resolution
    snow depth data derived from optical stereophotogrammetry of Pléiades satellites
    for improving the representation of snow depth initial conditions (SDICs) in a
    glacio-hydrological model and assess potential improvements in the skill of snowmelt
    and streamflow simulations in a high-elevation Andean catchment. We calibrate
    model parameters controlling glacier mass balance and snow cover evolution using
    ground-based and satellite observations, and consider the relative importance
    of accurate estimates of SDICs compared to model parameters and forcings. We find
    that Pléiades SDICs improve the simulation of snow-covered area, glacier mass
    balance, and monthly streamflow compared to alternative SDICs based upon extrapolation
    of meteorological variables or statistical methods to estimate SDICs based upon
    topography. Model simulations are found to be sensitive to SDICs in the early
    spring (up to 48% variability in modeled streamflow compared to the best estimate
    model), and to temperature gradients in all months that control albedo and melt
    rates over a large elevation range (>2,400 m). As such, appropriately characterizing
    the distribution of total snow volume with elevation is important for reproducing
    total streamflow and the proportions of snowmelt. Therefore, optical stereo-photogrammetry
    offers an advantage for obtaining SDICs that aid both the timing and magnitude
    of streamflow simulations, process representation (e.g., snow cover evolution)
    and has the potential for large spatial domains.
article_number: e2020WR027188
article_processing_charge: No
article_type: original
author:
- first_name: Thomas E.
  full_name: Shaw, Thomas E.
  last_name: Shaw
- first_name: Alexis
  full_name: Caro, Alexis
  last_name: Caro
- first_name: Pablo
  full_name: Mendoza, Pablo
  last_name: Mendoza
- first_name: Álvaro
  full_name: Ayala, Álvaro
  last_name: Ayala
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: Simon
  full_name: Gascoin, Simon
  last_name: Gascoin
- first_name: James
  full_name: McPhee, James
  last_name: McPhee
citation:
  ama: Shaw TE, Caro A, Mendoza P, et al. The utility of optical satellite winter
    snow depths for initializing a glacio‐hydrological model of a High‐Elevation,
    Andean catchment. <i>Water Resources Research</i>. 2020;56(8). doi:<a href="https://doi.org/10.1029/2020wr027188">10.1029/2020wr027188</a>
  apa: Shaw, T. E., Caro, A., Mendoza, P., Ayala, Á., Pellicciotti, F., Gascoin, S.,
    &#38; McPhee, J. (2020). The utility of optical satellite winter snow depths for
    initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2020wr027188">https://doi.org/10.1029/2020wr027188</a>
  chicago: Shaw, Thomas E., Alexis Caro, Pablo Mendoza, Álvaro Ayala, Francesca Pellicciotti,
    Simon Gascoin, and James McPhee. “The Utility of Optical Satellite Winter Snow
    Depths for Initializing a Glacio‐hydrological Model of a High‐Elevation, Andean
    Catchment.” <i>Water Resources Research</i>. American Geophysical Union, 2020.
    <a href="https://doi.org/10.1029/2020wr027188">https://doi.org/10.1029/2020wr027188</a>.
  ieee: T. E. Shaw <i>et al.</i>, “The utility of optical satellite winter snow depths
    for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment,”
    <i>Water Resources Research</i>, vol. 56, no. 8. American Geophysical Union, 2020.
  ista: Shaw TE, Caro A, Mendoza P, Ayala Á, Pellicciotti F, Gascoin S, McPhee J.
    2020. The utility of optical satellite winter snow depths for initializing a glacio‐hydrological
    model of a High‐Elevation, Andean catchment. Water Resources Research. 56(8),
    e2020WR027188.
  mla: Shaw, Thomas E., et al. “The Utility of Optical Satellite Winter Snow Depths
    for Initializing a Glacio‐hydrological Model of a High‐Elevation, Andean Catchment.”
    <i>Water Resources Research</i>, vol. 56, no. 8, e2020WR027188, American Geophysical
    Union, 2020, doi:<a href="https://doi.org/10.1029/2020wr027188">10.1029/2020wr027188</a>.
  short: T.E. Shaw, A. Caro, P. Mendoza, Á. Ayala, F. Pellicciotti, S. Gascoin, J.
    McPhee, Water Resources Research 56 (2020).
date_created: 2023-02-20T08:12:22Z
date_published: 2020-08-01T00:00:00Z
date_updated: 2023-02-28T12:41:45Z
day: '01'
doi: 10.1029/2020wr027188
extern: '1'
fulldoi: https://doi.org/10.1029/2020wr027188
intvolume: '        56'
issue: '8'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2020WR027188
month: '08'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: The utility of optical satellite winter snow depths for initializing a glacio‐hydrological
  model of a High‐Elevation, Andean catchment
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 56
year: '2020'
...
---
_id: '12598'
abstract:
- lang: eng
  text: Obtaining detailed information about high mountain snowpacks is often limited
    by insufficient ground-based observations and uncertainty in the (re)distribution
    of solid precipitation. We utilize high-resolution optical images from Pléiades
    satellites to generate a snow depth map, at a spatial resolution of 4 m, for a
    high mountain catchment of central Chile. Results are negatively biased (median
    difference of −0.22 m) when compared against observations from a terrestrial Light
    Detection And Ranging scan, though replicate general snow depth variability well.
    Additionally, the Pléiades dataset is subject to data gaps (17% of total pixels),
    negative values for shallow snow (12%), and noise on slopes >40–50° (2%). We correct
    and filter the Pléiades snow depths using surface classification techniques of
    snow-free areas and a random forest model for data gap filling. Snow depths (with
    an estimated error of ~0.36 m) average 1.66 m and relate well to topographical
    parameters such as elevation and northness in a similar way to previous studies.
    However, estimations of snow depth based upon topography (TOPO) or physically
    based modeling (DBSM) cannot resolve localized processes (i.e., avalanching or
    wind scouring) that are detected by Pléiades, even when forced with locally calibrated
    data. Comparing these alternative model approaches to corrected Pléiades snow
    depths reveals total snow volume differences between −28% (DBSM) and +54% (TOPO)
    for the catchment and large differences across most elevation bands. Pléiades
    represents an important contribution to understanding snow accumulation at sparsely
    monitored catchments, though ideally requires a careful systematic validation
    procedure to identify catchment-scale biases and errors in the snow depth derivation.
article_number: e2019WR024880
article_processing_charge: No
article_type: original
author:
- first_name: Thomas E.
  full_name: Shaw, Thomas E.
  last_name: Shaw
- first_name: Simon
  full_name: Gascoin, Simon
  last_name: Gascoin
- first_name: Pablo A.
  full_name: Mendoza, Pablo A.
  last_name: Mendoza
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: James
  full_name: McPhee, James
  last_name: McPhee
citation:
  ama: Shaw TE, Gascoin S, Mendoza PA, Pellicciotti F, McPhee J. Snow depth patterns
    in a high mountain Andean catchment from satellite optical tristereoscopic remote
    sensing. <i>Water Resources Research</i>. 2020;56(2). doi:<a href="https://doi.org/10.1029/2019wr024880">10.1029/2019wr024880</a>
  apa: Shaw, T. E., Gascoin, S., Mendoza, P. A., Pellicciotti, F., &#38; McPhee, J.
    (2020). Snow depth patterns in a high mountain Andean catchment from satellite
    optical tristereoscopic remote sensing. <i>Water Resources Research</i>. American
    Geophysical Union. <a href="https://doi.org/10.1029/2019wr024880">https://doi.org/10.1029/2019wr024880</a>
  chicago: Shaw, Thomas E., Simon Gascoin, Pablo A. Mendoza, Francesca Pellicciotti,
    and James McPhee. “Snow Depth Patterns in a High Mountain Andean Catchment from
    Satellite Optical Tristereoscopic Remote Sensing.” <i>Water Resources Research</i>.
    American Geophysical Union, 2020. <a href="https://doi.org/10.1029/2019wr024880">https://doi.org/10.1029/2019wr024880</a>.
  ieee: T. E. Shaw, S. Gascoin, P. A. Mendoza, F. Pellicciotti, and J. McPhee, “Snow
    depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic
    remote sensing,” <i>Water Resources Research</i>, vol. 56, no. 2. American Geophysical
    Union, 2020.
  ista: Shaw TE, Gascoin S, Mendoza PA, Pellicciotti F, McPhee J. 2020. Snow depth
    patterns in a high mountain Andean catchment from satellite optical tristereoscopic
    remote sensing. Water Resources Research. 56(2), e2019WR024880.
  mla: Shaw, Thomas E., et al. “Snow Depth Patterns in a High Mountain Andean Catchment
    from Satellite Optical Tristereoscopic Remote Sensing.” <i>Water Resources Research</i>,
    vol. 56, no. 2, e2019WR024880, American Geophysical Union, 2020, doi:<a href="https://doi.org/10.1029/2019wr024880">10.1029/2019wr024880</a>.
  short: T.E. Shaw, S. Gascoin, P.A. Mendoza, F. Pellicciotti, J. McPhee, Water Resources
    Research 56 (2020).
date_created: 2023-02-20T08:12:47Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-02-28T12:26:14Z
day: '01'
doi: 10.1029/2019wr024880
extern: '1'
fulldoi: https://doi.org/10.1029/2019wr024880
intvolume: '        56'
issue: '2'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2019WR024880
month: '02'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Snow depth patterns in a high mountain Andean catchment from satellite optical
  tristereoscopic remote sensing
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 56
year: '2020'
...
---
OA_place: publisher
OA_type: free access
_id: '22458'
abstract:
- lang: eng
  text: Groundwater can have a critical role in sustaining the functioning of natural
    ecosystems during droughts, especially in dry and seasonally dry climates. However,
    the response to droughts of ecosystems embedded in urban areas is not well known.
    This study investigates how different scenarios of groundwater availability control
    the water balance and vegetation productivity of two urban reserves hosting native
    vegetation in the Melbourne metropolitan area, Australia. Using a mechanistic
    ecohydrological model supported by field observations, long-term simulations were
    run to explore the impact of groundwater flow on water, carbon, and energy fluxes
    under present climatic conditions, including the Millennium Drought (2001–2009),
    and in response to perturbations in key environmental variables (air temperature,
    atmospheric CO2 concentrations, and rainfall). It was found that the presence
    of a water table and its capillary fringe within the root depths supports ecosystem
    transpiration and vegetation productivity. The effects of declining groundwater
    were found to be more severe in predominantly sandy soils because of the lower
    water holding capacity, identifying that the water status of vegetation differs
    significantly depending on soil type. Differences in rooting strategies and groundwater
    availability also had a pivotal role in helping plants soften the impacts of increased
    air temperature (Ta) and make use of higher atmospheric CO2 concentrations. Increased
    Ta strongly affected evapotranspiration, enhancing the competition for water between
    different vegetation types. These results provide quantitative insights of how
    vegetation responds to groundwater depletion and climate variability, highlighting
    the essential role of groundwater resources in urban ecosystems characterized
    by seasonally dry climates.
article_number: e2019WR026192
article_processing_charge: No
article_type: original
author:
- first_name: V.
  full_name: Marchionni, V.
  last_name: Marchionni
- first_name: E.
  full_name: Daly, E.
  last_name: Daly
- first_name: G.
  full_name: Manoli, G.
  last_name: Manoli
- first_name: N. J.
  full_name: Tapper, N. J.
  last_name: Tapper
- first_name: J. P.
  full_name: Walker, J. P.
  last_name: Walker
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Marchionni V, Daly E, Manoli G, Tapper NJ, Walker JP, Fatichi S. Groundwater
    buffers drought effects and climate variability in urban reserves. <i>Water Resources
    Research</i>. 2020;56(5). doi:<a href="https://doi.org/10.1029/2019wr026192">10.1029/2019wr026192</a>
  apa: Marchionni, V., Daly, E., Manoli, G., Tapper, N. J., Walker, J. P., &#38; Fatichi,
    S. (2020). Groundwater buffers drought effects and climate variability in urban
    reserves. <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2019wr026192">https://doi.org/10.1029/2019wr026192</a>
  chicago: Marchionni, V., E. Daly, G. Manoli, N. J. Tapper, J. P. Walker, and Simone
    Fatichi. “Groundwater Buffers Drought Effects and Climate Variability in Urban
    Reserves.” <i>Water Resources Research</i>. American Geophysical Union, 2020.
    <a href="https://doi.org/10.1029/2019wr026192">https://doi.org/10.1029/2019wr026192</a>.
  ieee: V. Marchionni, E. Daly, G. Manoli, N. J. Tapper, J. P. Walker, and S. Fatichi,
    “Groundwater buffers drought effects and climate variability in urban reserves,”
    <i>Water Resources Research</i>, vol. 56, no. 5. American Geophysical Union, 2020.
  ista: Marchionni V, Daly E, Manoli G, Tapper NJ, Walker JP, Fatichi S. 2020. Groundwater
    buffers drought effects and climate variability in urban reserves. Water Resources
    Research. 56(5), e2019WR026192.
  mla: Marchionni, V., et al. “Groundwater Buffers Drought Effects and Climate Variability
    in Urban Reserves.” <i>Water Resources Research</i>, vol. 56, no. 5, e2019WR026192,
    American Geophysical Union, 2020, doi:<a href="https://doi.org/10.1029/2019wr026192">10.1029/2019wr026192</a>.
  short: V. Marchionni, E. Daly, G. Manoli, N.J. Tapper, J.P. Walker, S. Fatichi,
    Water Resources Research 56 (2020).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2020-05-01T00:00:00Z
date_updated: 2026-07-30T08:52:19Z
day: '01'
doi: 10.1029/2019wr026192
extern: '1'
fulldoi: https://doi.org/10.1029/2019wr026192
intvolume: '        56'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2019WR026192
month: '05'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Groundwater buffers drought effects and climate variability in urban reserves
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 56
year: '2020'
...
---
OA_place: publisher
OA_type: free access
_id: '22565'
abstract:
- lang: eng
  text: Solutes in rivers often come from multiple sources, notably precipitation
    (above) and generation from the subsurface (below). The question of which source
    is more influential in shaping the dynamics of solute concentration cannot be
    easily addressed due to the general lack of input data. An analysis of solute
    concentrations and their dependence on discharge across 585 catchments in nine
    countries leads us to hypothesize that both the timing and the vertical distribution
    of the solute generation are important drivers of solute export dynamics at the
    catchment scale. We test this hypothesis running synthetic experiments with a
    tracer-aided distributed hydrological model. The results reveal that the depth
    of solute generation is the most important control of the concentration-discharge
    (C-Q) relation for a number of solutes. Such relation shows that C-Q patterns
    of solute export vary from dilution (Ca2+, Mg2+, K+, Na+, and Cl−) to weakly enriching
    (dissolved organic carbon). The timing of the input imposes a signature on temporal
    dynamics, most evident for nutrients, and adds uncertainty in the exponent of
    the C-Q relation.
article_number: e2019WR026695
article_processing_charge: No
article_type: original
author:
- first_name: M.
  full_name: Botter, M.
  last_name: Botter
- first_name: L.
  full_name: Li, L.
  last_name: Li
- first_name: J.
  full_name: Hartmann, J.
  last_name: Hartmann
- first_name: P.
  full_name: Burlando, P.
  last_name: Burlando
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Botter M, Li L, Hartmann J, Burlando P, Fatichi S. Depth of solute generation
    is a dominant control on concentration‐discharge relations. <i>Water Resources
    Research</i>. 2020;56(8). doi:<a href="https://doi.org/10.1029/2019wr026695">10.1029/2019wr026695</a>
  apa: Botter, M., Li, L., Hartmann, J., Burlando, P., &#38; Fatichi, S. (2020). Depth
    of solute generation is a dominant control on concentration‐discharge relations.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2019wr026695">https://doi.org/10.1029/2019wr026695</a>
  chicago: Botter, M., L. Li, J. Hartmann, P. Burlando, and Simone Fatichi. “Depth
    of Solute Generation Is a Dominant Control on Concentration‐discharge Relations.”
    <i>Water Resources Research</i>. American Geophysical Union, 2020. <a href="https://doi.org/10.1029/2019wr026695">https://doi.org/10.1029/2019wr026695</a>.
  ieee: M. Botter, L. Li, J. Hartmann, P. Burlando, and S. Fatichi, “Depth of solute
    generation is a dominant control on concentration‐discharge relations,” <i>Water
    Resources Research</i>, vol. 56, no. 8. American Geophysical Union, 2020.
  ista: Botter M, Li L, Hartmann J, Burlando P, Fatichi S. 2020. Depth of solute generation
    is a dominant control on concentration‐discharge relations. Water Resources Research.
    56(8), e2019WR026695.
  mla: Botter, M., et al. “Depth of Solute Generation Is a Dominant Control on Concentration‐discharge
    Relations.” <i>Water Resources Research</i>, vol. 56, no. 8, e2019WR026695, American
    Geophysical Union, 2020, doi:<a href="https://doi.org/10.1029/2019wr026695">10.1029/2019wr026695</a>.
  short: M. Botter, L. Li, J. Hartmann, P. Burlando, S. Fatichi, Water Resources Research
    56 (2020).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2020-08-01T00:00:00Z
date_updated: 2026-08-06T08:27:13Z
day: '01'
doi: 10.1029/2019wr026695
extern: '1'
fulldoi: https://doi.org/10.1029/2019wr026695
intvolume: '        56'
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2019WR026695
month: '08'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Depth of solute generation is a dominant control on concentration‐discharge
  relations
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 56
year: '2020'
...
---
_id: '12600'
abstract:
- lang: eng
  text: The snow cover dynamics of High Mountain Asia are usually assessed at spatial
    resolutions of 250 m or greater, but this scale is too coarse to clearly represent
    the rugged topography common to the region. Higher-resolution measurement of snow-covered
    area often results in biased sampling due to cloud cover and deep shadows. We
    therefore develop a Normalized Difference Snow Index-based workflow to delineate
    snow lines from Landsat Thematic Mapper/Enhanced Thematic Mapper+ imagery and
    apply it to the upper Langtang Valley in Nepal, processing 194 scenes spanning
    1999 to 2013. For each scene, we determine the spatial distribution of snow line
    altitudes (SLAs) with respect to aspect and across six subcatchments. Our results
    show that the mean SLA exhibits distinct seasonal behavior based on aspect and
    subcatchment position. We find that SLA dynamics respond to spatial and seasonal
    trade-offs in precipitation, temperature, and solar radiation, which act as primary
    controls. We identify two SLA spatial gradients, which we attribute to the effect
    of spatially variable precipitation. Our results also reveal that aspect-related
    SLA differences vary seasonally and are influenced by solar radiation. In terms
    of seasonal dominant controls, we demonstrate that the snow line is controlled
    by snow precipitation in winter, melt in premonsoon, a combination of both in
    postmonsoon, and temperature in monsoon, explaining to a large extent the spatial
    and seasonal variability of the SLA in the upper Langtang Valley. We conclude
    that while SLA and snow-covered area are complementary metrics, the SLA has a
    strong potential for understanding local-scale snow cover dynamics and their controlling
    mechanisms.
article_processing_charge: No
article_type: original
author:
- first_name: Marc
  full_name: Girona‐Mata, Marc
  last_name: Girona‐Mata
- first_name: Evan S.
  full_name: Miles, Evan S.
  last_name: Miles
- first_name: Silvan
  full_name: Ragettli, Silvan
  last_name: Ragettli
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
citation:
  ama: Girona‐Mata M, Miles ES, Ragettli S, Pellicciotti F. High‐resolution snowline
    delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment.
    <i>Water Resources Research</i>. 2019;55(8):6754-6772. doi:<a href="https://doi.org/10.1029/2019wr024935">10.1029/2019wr024935</a>
  apa: Girona‐Mata, M., Miles, E. S., Ragettli, S., &#38; Pellicciotti, F. (2019).
    High‐resolution snowline delineation from Landsat imagery to infer snow cover
    controls in a Himalayan catchment. <i>Water Resources Research</i>. American Geophysical
    Union. <a href="https://doi.org/10.1029/2019wr024935">https://doi.org/10.1029/2019wr024935</a>
  chicago: Girona‐Mata, Marc, Evan S. Miles, Silvan Ragettli, and Francesca Pellicciotti.
    “High‐resolution Snowline Delineation from Landsat Imagery to Infer Snow Cover
    Controls in a Himalayan Catchment.” <i>Water Resources Research</i>. American
    Geophysical Union, 2019. <a href="https://doi.org/10.1029/2019wr024935">https://doi.org/10.1029/2019wr024935</a>.
  ieee: M. Girona‐Mata, E. S. Miles, S. Ragettli, and F. Pellicciotti, “High‐resolution
    snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan
    catchment,” <i>Water Resources Research</i>, vol. 55, no. 8. American Geophysical
    Union, pp. 6754–6772, 2019.
  ista: Girona‐Mata M, Miles ES, Ragettli S, Pellicciotti F. 2019. High‐resolution
    snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan
    catchment. Water Resources Research. 55(8), 6754–6772.
  mla: Girona‐Mata, Marc, et al. “High‐resolution Snowline Delineation from Landsat
    Imagery to Infer Snow Cover Controls in a Himalayan Catchment.” <i>Water Resources
    Research</i>, vol. 55, no. 8, American Geophysical Union, 2019, pp. 6754–72, doi:<a
    href="https://doi.org/10.1029/2019wr024935">10.1029/2019wr024935</a>.
  short: M. Girona‐Mata, E.S. Miles, S. Ragettli, F. Pellicciotti, Water Resources
    Research 55 (2019) 6754–6772.
date_created: 2023-02-20T08:12:59Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2023-02-28T12:14:18Z
day: '01'
doi: 10.1029/2019wr024935
extern: '1'
fulldoi: https://doi.org/10.1029/2019wr024935
intvolume: '        55'
issue: '8'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2019WR024935
month: '08'
oa: 1
oa_version: Published Version
page: 6754-6772
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: High‐resolution snowline delineation from Landsat imagery to infer snow cover
  controls in a Himalayan catchment
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 55
year: '2019'
...
---
_id: '12605'
abstract:
- lang: eng
  text: Snow depth patterns over glaciers are controlled by precipitation, snow redistribution
    due to wind and avalanches, and the exchange of energy with the atmosphere that
    determines snow ablation. While many studies have advanced the understanding of
    ablation processes, less is known about winter snow patterns and their variability
    over glaciers. We analyze snow depth on Haut Glacier d'Arolla, Switzerland, in
    the two winter seasons 2006–2007 and 2010–2011 to (1) understand whether snow
    depth over an alpine glacier at the end of the accumulation season exhibits a
    behavior similar to the one observed on single slopes and vegetated areas; and
    (2) investigate the snow pattern consistency over the two accumulation seasons.
    We perform this analysis on a data set of high-resolution lidar-derived snow depth
    using variograms and fractal parameters. Our first main result is that snow depth
    patterns on the glacier exhibit a multiscale behavior, with a scale break around
    20 m after which the fractal dimension increases, indicating more autocorrelated
    structure before the scale break than after. Second, this behavior is consistent
    over the two years, with fractal parameters and their spatial variability almost
    constant in the two seasons. We also show that snow depth patterns exhibit a distinct
    behavior in the glacier tongue and the upper catchment, with longer correlation
    distances on the tongue in the direction of the main winds, suggesting spatial
    distinctions that are likely induced by different processes and that should be
    taken into account when extrapolating snow depth from limited samples.
article_processing_charge: No
article_type: original
author:
- first_name: I.
  full_name: Clemenzi, I.
  last_name: Clemenzi
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
  orcid: 0000-0002-5554-8087
- first_name: P.
  full_name: Burlando, P.
  last_name: Burlando
citation:
  ama: Clemenzi I, Pellicciotti F, Burlando P. Snow depth structure, fractal behavior,
    and interannual consistency over Haut Glacier d’Arolla, Switzerland. <i>Water
    Resources Research</i>. 2018;54(10):7929-7945. doi:<a href="https://doi.org/10.1029/2017wr021606">10.1029/2017wr021606</a>
  apa: Clemenzi, I., Pellicciotti, F., &#38; Burlando, P. (2018). Snow depth structure,
    fractal behavior, and interannual consistency over Haut Glacier d’Arolla, Switzerland.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2017wr021606">https://doi.org/10.1029/2017wr021606</a>
  chicago: Clemenzi, I., Francesca Pellicciotti, and P. Burlando. “Snow Depth Structure,
    Fractal Behavior, and Interannual Consistency over Haut Glacier d’Arolla, Switzerland.”
    <i>Water Resources Research</i>. American Geophysical Union, 2018. <a href="https://doi.org/10.1029/2017wr021606">https://doi.org/10.1029/2017wr021606</a>.
  ieee: I. Clemenzi, F. Pellicciotti, and P. Burlando, “Snow depth structure, fractal
    behavior, and interannual consistency over Haut Glacier d’Arolla, Switzerland,”
    <i>Water Resources Research</i>, vol. 54, no. 10. American Geophysical Union,
    pp. 7929–7945, 2018.
  ista: Clemenzi I, Pellicciotti F, Burlando P. 2018. Snow depth structure, fractal
    behavior, and interannual consistency over Haut Glacier d’Arolla, Switzerland.
    Water Resources Research. 54(10), 7929–7945.
  mla: Clemenzi, I., et al. “Snow Depth Structure, Fractal Behavior, and Interannual
    Consistency over Haut Glacier d’Arolla, Switzerland.” <i>Water Resources Research</i>,
    vol. 54, no. 10, American Geophysical Union, 2018, pp. 7929–45, doi:<a href="https://doi.org/10.1029/2017wr021606">10.1029/2017wr021606</a>.
  short: I. Clemenzi, F. Pellicciotti, P. Burlando, Water Resources Research 54 (2018)
    7929–7945.
date_created: 2023-02-20T08:13:31Z
date_published: 2018-06-07T00:00:00Z
date_updated: 2024-10-14T12:04:41Z
day: '07'
doi: 10.1029/2017wr021606
extern: '1'
fulldoi: https://doi.org/10.1029/2017wr021606
intvolume: '        54'
issue: '10'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2017WR021606
month: '06'
oa: 1
oa_version: Published Version
page: 7929-7945
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Snow depth structure, fractal behavior, and interannual consistency over Haut
  Glacier d'Arolla, Switzerland
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2018'
...
---
OA_place: publisher
OA_type: free access
_id: '22481'
abstract:
- lang: eng
  text: Water transit times and flow pathways are crucial elements in characterizing
    catchment hydrologic response. Understanding their variability in space and time
    sheds light on the link between discharge formation and water quality at the catchment
    scale. Here, we introduce a novel modeling framework to explore water transport
    mechanisms using the Hafren catchment in Wales (UK) as a case study. We show that
    a fully distributed hydrological model coupled with a transport component for
    conservative tracers is useful in analyzing how hydrometeorological conditions
    and spatial heterogeneity may affect water transit times and age distributions
    in a real catchment. We use the model to track the paths of water parcels that
    entered the catchment as rainfall over 2 years, labeling each day of rain individually.
    There is a reasonable agreement between tracer simulations and observations, suggesting
    that dynamic transit time distributions (TTDs) both forward and backward in time
    can be approximated using a high spatial and temporal resolution hydrochemical
    model, without assuming a priori any transit and storage selection functions at
    the catchment scale. TTDs are quantified for the modeled internal dynamics of
    the study catchment. TTDs conditional on a given rainfall time are mostly correlated
    to the season in which the rain event occurs, whereas TTDs conditional on a given
    exit time are mostly affected by catchment wetness. When TTDs for individual rainfall
    events are re‐scaled as functions of cumulative discharge, they collapse around
    a single common distribution, suggesting a potential characteristic catchment
    function.
article_processing_charge: No
article_type: original
author:
- first_name: Federica
  full_name: Remondi, Federica
  last_name: Remondi
- first_name: James W.
  full_name: Kirchner, James W.
  last_name: Kirchner
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Remondi F, Kirchner JW, Burlando P, Fatichi S. Water flux tracking with a distributed
    hydrological model to quantify controls on the spatio-temporal variability of
    transit time distributions. <i>Water Resources Research</i>. 2018;54(4):3081-3099.
    doi:<a href="https://doi.org/10.1002/2017wr021689">10.1002/2017wr021689</a>
  apa: Remondi, F., Kirchner, J. W., Burlando, P., &#38; Fatichi, S. (2018). Water
    flux tracking with a distributed hydrological model to quantify controls on the
    spatio-temporal variability of transit time distributions. <i>Water Resources
    Research</i>. American Geophysical Union. <a href="https://doi.org/10.1002/2017wr021689">https://doi.org/10.1002/2017wr021689</a>
  chicago: Remondi, Federica, James W. Kirchner, Paolo Burlando, and Simone Fatichi.
    “Water Flux Tracking with a Distributed Hydrological Model to Quantify Controls
    on the Spatio-Temporal Variability of Transit Time Distributions.” <i>Water Resources
    Research</i>. American Geophysical Union, 2018. <a href="https://doi.org/10.1002/2017wr021689">https://doi.org/10.1002/2017wr021689</a>.
  ieee: F. Remondi, J. W. Kirchner, P. Burlando, and S. Fatichi, “Water flux tracking
    with a distributed hydrological model to quantify controls on the spatio-temporal
    variability of transit time distributions,” <i>Water Resources Research</i>, vol.
    54, no. 4. American Geophysical Union, pp. 3081–3099, 2018.
  ista: Remondi F, Kirchner JW, Burlando P, Fatichi S. 2018. Water flux tracking with
    a distributed hydrological model to quantify controls on the spatio-temporal variability
    of transit time distributions. Water Resources Research. 54(4), 3081–3099.
  mla: Remondi, Federica, et al. “Water Flux Tracking with a Distributed Hydrological
    Model to Quantify Controls on the Spatio-Temporal Variability of Transit Time
    Distributions.” <i>Water Resources Research</i>, vol. 54, no. 4, American Geophysical
    Union, 2018, pp. 3081–99, doi:<a href="https://doi.org/10.1002/2017wr021689">10.1002/2017wr021689</a>.
  short: F. Remondi, J.W. Kirchner, P. Burlando, S. Fatichi, Water Resources Research
    54 (2018) 3081–3099.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2018-04-01T00:00:00Z
date_updated: 2026-07-30T05:57:58Z
day: '01'
doi: 10.1002/2017wr021689
extern: '1'
fulldoi: https://doi.org/10.1002/2017wr021689
intvolume: '        54'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2017WR021689
month: '04'
oa: 1
oa_version: Published Version
page: 3081-3099
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Water flux tracking with a distributed hydrological model to quantify controls
  on the spatio-temporal variability of transit time distributions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2018'
...
---
OA_place: publisher
OA_type: free access
_id: '22455'
abstract:
- lang: eng
  text: While the claim that water-carbon interactions result in spatially coherent
    vegetation patterning is rarely disputed in many arid and semiarid regions, the
    significance of the detailed water pathways and other high frequency variability
    remain an open question. How the short temporal scale meteorological fluctuations
    form the long-term spatial variability of available soil water in complex terrains
    due to the various hydrological, land surface, and vegetation dynamic feedbacks
    frames the scope of the work here. Knowledge of the detailed mechanistic feedbacks
    among soil, plants, and the atmosphere will lead to advances in our understanding
    of plant water availability in arid and semiarid ecosystems and will provide insights
    for future model development concerning vegetation pattern formation. In this
    study, quantitative estimates of water fluxes and vegetation productivity are
    provided for a semiarid ecosystem with established vegetation bands on hillslopes
    using numerical simulations. A state-of-the-science process based ecohydrological
    model is used, which resolves hydrological and plant physiological processes at
    the relevant space and time scales, for relatively small periods (e.g., decades)
    of mature ecosystems (i.e., spatially static vegetation distribution). To unfold
    the mechanisms that shape the spatial distribution of soil moisture, plant productivity
    and the relevant surface/subsurface and atmospheric water fluxes, idealized hillslope
    numerical experiments are constructed, where the effects of soil type, slope steepness,
    and overland flow accumulation area are quantified. Those mechanisms are also
    simulated in the presence of complex topography features on landscapes. The main
    results are (a) short temporal scale meteorological variability and accurate representation
    of the scales at which each ecohydrological process operates are crucial for the
    estimation of the spatial variability of soil water availability to the plant
    root zone; (b) water fluxes such as evapotranspiration, infiltration, runoff-run-on,
    and subsurface soil water movement have a dynamic short temporal scale behavior
    that determines the long-term spatial organization of plant soil water availability
    in ecosystems with established vegetation patterns; and (c) hypotheses concerning
    the hydrological responses that can lead to vegetation pattern formation have
    to accommodate realistic and physically based representations of the fast dynamics
    of key ecohydrological fluxes.
article_processing_charge: No
article_type: original
author:
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Gabriel G.
  full_name: Katul, Gabriel G.
  last_name: Katul
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Gabriele
  full_name: Manoli, Gabriele
  last_name: Manoli
- first_name: Peter
  full_name: Molnar, Peter
  last_name: Molnar
citation:
  ama: Paschalis A, Katul GG, Fatichi S, Manoli G, Molnar P. Matching ecohydrological
    processes and scales of banded vegetation patterns in semiarid catchments. <i>Water
    Resources Research</i>. 2016;52(3):2259-2278. doi:<a href="https://doi.org/10.1002/2015wr017679">10.1002/2015wr017679</a>
  apa: Paschalis, A., Katul, G. G., Fatichi, S., Manoli, G., &#38; Molnar, P. (2016).
    Matching ecohydrological processes and scales of banded vegetation patterns in
    semiarid catchments. <i>Water Resources Research</i>. American Geophysical Union.
    <a href="https://doi.org/10.1002/2015wr017679">https://doi.org/10.1002/2015wr017679</a>
  chicago: Paschalis, Athanasios, Gabriel G. Katul, Simone Fatichi, Gabriele Manoli,
    and Peter Molnar. “Matching Ecohydrological Processes and Scales of Banded Vegetation
    Patterns in Semiarid Catchments.” <i>Water Resources Research</i>. American Geophysical
    Union, 2016. <a href="https://doi.org/10.1002/2015wr017679">https://doi.org/10.1002/2015wr017679</a>.
  ieee: A. Paschalis, G. G. Katul, S. Fatichi, G. Manoli, and P. Molnar, “Matching
    ecohydrological processes and scales of banded vegetation patterns in semiarid
    catchments,” <i>Water Resources Research</i>, vol. 52, no. 3. American Geophysical
    Union, pp. 2259–2278, 2016.
  ista: Paschalis A, Katul GG, Fatichi S, Manoli G, Molnar P. 2016. Matching ecohydrological
    processes and scales of banded vegetation patterns in semiarid catchments. Water
    Resources Research. 52(3), 2259–2278.
  mla: Paschalis, Athanasios, et al. “Matching Ecohydrological Processes and Scales
    of Banded Vegetation Patterns in Semiarid Catchments.” <i>Water Resources Research</i>,
    vol. 52, no. 3, American Geophysical Union, 2016, pp. 2259–78, doi:<a href="https://doi.org/10.1002/2015wr017679">10.1002/2015wr017679</a>.
  short: A. Paschalis, G.G. Katul, S. Fatichi, G. Manoli, P. Molnar, Water Resources
    Research 52 (2016) 2259–2278.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2016-03-01T00:00:00Z
date_updated: 2026-08-11T06:50:57Z
day: '01'
doi: 10.1002/2015wr017679
extern: '1'
fulldoi: https://doi.org/10.1002/2015wr017679
intvolume: '        52'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2015WR017679
month: '03'
oa: 1
oa_version: Published Version
page: 2259-2278
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Matching ecohydrological processes and scales of banded vegetation patterns
  in semiarid catchments
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 52
year: '2016'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: free access
_id: '22495'
abstract:
- lang: eng
  text: An expression that separates biotic and abiotic controls on the temporal dynamics
    of the soilmoisture spatial coefﬁcient of variation C v(h) was explored via numerical
    simulations using a mechanisticecohydrological model, Tethys-Chloris. Continuous
    soil moisture spatiotemporal dynamics at an exemplaryhillslope domain were computed
    for six case studies characterized by different climate and vegetationcover and
    for three conﬁgurations of soil properties. It was shown that abiotic controls
    largely exceed theirbiotic counterparts in wet climates. Biotic controls on C
    v(h) were found to be more pronounced in Mediter-ranean climates. The relation
    between Cv(h) and spatial mean soil moisture h was found to be unique in wetlocations,
    regardless of the soil properties. For the case of homogeneous soil texture, hysteretic
    cyclesbetween C v(h) and h were observed in all Mediterranean climate locations
    considered here and to a lesserextent in a deciduous temperate forest. Heterogeneity
    in soil properties increased C v(h) to values commen-surate with ﬁeld observations
    and weakened signatures of hysteresis at all of the studied locations. Thisﬁnding
    highlights the role of site-speciﬁc heterogeneities in hiding or even eliminating
    the signature ofclimatic and biotic controls on C v(h), thereby offering a new
    perspective on causes of confounding resultsreported across ﬁeld experiments.
article_processing_charge: No
article_type: original
author:
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Gabriel G.
  full_name: Katul, Gabriel G.
  last_name: Katul
- first_name: Valeriy Y.
  full_name: Ivanov, Valeriy Y.
  last_name: Ivanov
- first_name: Christoforos
  full_name: Pappas, Christoforos
  last_name: Pappas
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Ada
  full_name: Consolo, Ada
  last_name: Consolo
- first_name: Jongho
  full_name: Kim, Jongho
  last_name: Kim
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
citation:
  ama: Fatichi S, Katul GG, Ivanov VY, et al. Abiotic and biotic controls of soil
    moisture spatiotemporal variability and the occurrence of hysteresis. <i>Water
    Resources Research</i>. 2015;51(5):3505-3524. doi:<a href="https://doi.org/10.1002/2014wr016102">10.1002/2014wr016102</a>
  apa: Fatichi, S., Katul, G. G., Ivanov, V. Y., Pappas, C., Paschalis, A., Consolo,
    A., … Burlando, P. (2015). Abiotic and biotic controls of soil moisture spatiotemporal
    variability and the occurrence of hysteresis. <i>Water Resources Research</i>.
    American Geophysical Union. <a href="https://doi.org/10.1002/2014wr016102">https://doi.org/10.1002/2014wr016102</a>
  chicago: Fatichi, Simone, Gabriel G. Katul, Valeriy Y. Ivanov, Christoforos Pappas,
    Athanasios Paschalis, Ada Consolo, Jongho Kim, and Paolo Burlando. “Abiotic and
    Biotic Controls of Soil Moisture Spatiotemporal Variability and the Occurrence
    of Hysteresis.” <i>Water Resources Research</i>. American Geophysical Union, 2015.
    <a href="https://doi.org/10.1002/2014wr016102">https://doi.org/10.1002/2014wr016102</a>.
  ieee: S. Fatichi <i>et al.</i>, “Abiotic and biotic controls of soil moisture spatiotemporal
    variability and the occurrence of hysteresis,” <i>Water Resources Research</i>,
    vol. 51, no. 5. American Geophysical Union, pp. 3505–3524, 2015.
  ista: Fatichi S, Katul GG, Ivanov VY, Pappas C, Paschalis A, Consolo A, Kim J, Burlando
    P. 2015. Abiotic and biotic controls of soil moisture spatiotemporal variability
    and the occurrence of hysteresis. Water Resources Research. 51(5), 3505–3524.
  mla: Fatichi, Simone, et al. “Abiotic and Biotic Controls of Soil Moisture Spatiotemporal
    Variability and the Occurrence of Hysteresis.” <i>Water Resources Research</i>,
    vol. 51, no. 5, American Geophysical Union, 2015, pp. 3505–24, doi:<a href="https://doi.org/10.1002/2014wr016102">10.1002/2014wr016102</a>.
  short: S. Fatichi, G.G. Katul, V.Y. Ivanov, C. Pappas, A. Paschalis, A. Consolo,
    J. Kim, P. Burlando, Water Resources Research 51 (2015) 3505–3524.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2015-05-01T00:00:00Z
date_updated: 2026-08-03T13:39:10Z
day: '01'
ddc:
- '550'
doi: 10.1002/2014wr016102
extern: '1'
fulldoi: https://doi.org/10.1002/2014wr016102
intvolume: '        51'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2014WR016102
month: '05'
oa: 1
oa_version: Published Version
page: 3505-3524
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Abiotic and biotic controls of soil moisture spatiotemporal variability and
  the occurrence of hysteresis
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 51
year: '2015'
...
---
OA_place: publisher
OA_type: free access
_id: '22512'
abstract:
- lang: eng
  text: Extreme rainfall events are the major driver of shallow landslide occurrences
    in mountainous and steep terrain regions around the world. Subsurface hydrology
    has a dominant role on the initiation of rainfall-induced shallow landslides,
    since changes in the soil water content affect significantly the soil shear strength.
    Rainfall infiltration produces an increase of soil water potential, which is followed
    by a rapid drop in apparent cohesion. Especially on steep slopes of shallow soils,
    this loss of shear strength can lead to failure even in unsaturated conditions
    before positive water pressures are developed. We present HYDROlisthisis, a process-based
    model, fully distributed in space with fine time resolution, in order to investigate
    the interactions between surface and subsurface hydrology and shallow landslides
    initiation. Fundamental elements of the approach are the dependence of shear strength
    on the three-dimensional (3-D) field of soil water potential, as well as the temporal
    evolution of soil water potential during the wetting and drying phases. Specifically,
    3-D variably saturated flow conditions, including soil hydraulic hysteresis and
    preferential flow phenomena, are simulated for the subsurface flow, coupled with
    a surface runoff routine based on the kinematic wave approximation. The geotechnical
    component of the model is based on a multidimensional limit equilibrium analysis,
    which takes into account the basic principles of unsaturated soil mechanics. A
    series of numerical simulations were carried out with various boundary conditions
    and using different hydrological and geotechnical components. Boundary conditions
    in terms of distributed soil depth were generated using both empirical and process-based
    models. The effect of including preferential flow and soil hydraulic hysteresis
    was tested together with the replacement of the infinite slope assumption with
    the multidimensional limit equilibrium analysis. The results show that boundary
    conditions play a crucial role in the model performance and that the introduced
    hydrological (preferential flow and soil hydraulic hysteresis) and geotechnical
    components (multidimensional limit equilibrium analysis) significantly improve
    predictive capabilities in the presented case study.
article_processing_charge: No
article_type: original
author:
- first_name: Grigorios G.
  full_name: Anagnostopoulos, Grigorios G.
  last_name: Anagnostopoulos
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
citation:
  ama: 'Anagnostopoulos GG, Fatichi S, Burlando P. An advanced process-based distributed
    model for the investigation of rainfall-induced landslides: The effect of process
    representation and boundary conditions. <i>Water Resources Research</i>. 2015;51(9):7501-7523.
    doi:<a href="https://doi.org/10.1002/2015wr016909">10.1002/2015wr016909</a>'
  apa: 'Anagnostopoulos, G. G., Fatichi, S., &#38; Burlando, P. (2015). An advanced
    process-based distributed model for the investigation of rainfall-induced landslides:
    The effect of process representation and boundary conditions. <i>Water Resources
    Research</i>. American Geophysical Union. <a href="https://doi.org/10.1002/2015wr016909">https://doi.org/10.1002/2015wr016909</a>'
  chicago: 'Anagnostopoulos, Grigorios G., Simone Fatichi, and Paolo Burlando. “An
    Advanced Process-Based Distributed Model for the Investigation of Rainfall-Induced
    Landslides: The Effect of Process Representation and Boundary Conditions.” <i>Water
    Resources Research</i>. American Geophysical Union, 2015. <a href="https://doi.org/10.1002/2015wr016909">https://doi.org/10.1002/2015wr016909</a>.'
  ieee: 'G. G. Anagnostopoulos, S. Fatichi, and P. Burlando, “An advanced process-based
    distributed model for the investigation of rainfall-induced landslides: The effect
    of process representation and boundary conditions,” <i>Water Resources Research</i>,
    vol. 51, no. 9. American Geophysical Union, pp. 7501–7523, 2015.'
  ista: 'Anagnostopoulos GG, Fatichi S, Burlando P. 2015. An advanced process-based
    distributed model for the investigation of rainfall-induced landslides: The effect
    of process representation and boundary conditions. Water Resources Research. 51(9),
    7501–7523.'
  mla: 'Anagnostopoulos, Grigorios G., et al. “An Advanced Process-Based Distributed
    Model for the Investigation of Rainfall-Induced Landslides: The Effect of Process
    Representation and Boundary Conditions.” <i>Water Resources Research</i>, vol.
    51, no. 9, American Geophysical Union, 2015, pp. 7501–23, doi:<a href="https://doi.org/10.1002/2015wr016909">10.1002/2015wr016909</a>.'
  short: G.G. Anagnostopoulos, S. Fatichi, P. Burlando, Water Resources Research 51
    (2015) 7501–7523.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2015-09-01T00:00:00Z
date_updated: 2026-08-06T07:55:55Z
day: '01'
doi: 10.1002/2015wr016909
extern: '1'
fulldoi: https://doi.org/10.1002/2015wr016909
intvolume: '        51'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.1002/2015WR016909'
month: '09'
oa: 1
oa_version: Published Version
page: 7501-7523
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'An advanced process-based distributed model for the investigation of rainfall-induced
  landslides: The effect of process representation and boundary conditions'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 51
year: '2015'
...
---
_id: '12637'
abstract:
- lang: eng
  text: The performance of glaciohydrological models which simulate catchment response
    to climate variability depends to a large degree on the data used to force the
    models. The forcing data become increasingly important in high-elevation, glacierized
    catchments where the interplay between extreme topography, climate, and the cryosphere
    is complex. It is challenging to generate a reliable forcing data set that captures
    this spatial heterogeneity. In this paper, we analyze the results of a 1 year
    field campaign focusing on air temperature and precipitation observations in the
    Langtang valley in the Nepalese Himalayas. We use the observed time series to
    characterize both temperature lapse rates (LRs) and precipitation gradients (PGs).
    We study their spatial and temporal variability, and we attempt to identify possible
    controlling factors. We show that very clear LRs exist in the valley and that
    there are strong seasonal differences related to the water vapor content in the
    atmosphere. Results also show that the LRs are generally shallower than the commonly
    used environmental lapse rates. The analysis of the precipitation observations
    reveals that there is great variability in precipitation over short horizontal
    distances. A uniform valley wide PG cannot be established, and several scale-dependent
    mechanisms may explain our observations. We complete our analysis by showing the
    impact of the observed LRs and PGs on the outputs of the TOPKAPI-ETH glaciohydrological
    model. We conclude that LRs and PGs have a very large impact on the water balance
    composition and that short-term monitoring campaigns have the potential to improve
    model quality considerably.
article_processing_charge: No
article_type: original
author:
- first_name: W. W.
  full_name: Immerzeel, W. W.
  last_name: Immerzeel
- first_name: L.
  full_name: Petersen, L.
  last_name: Petersen
- first_name: S.
  full_name: Ragettli, S.
  last_name: Ragettli
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
citation:
  ama: Immerzeel WW, Petersen L, Ragettli S, Pellicciotti F. The importance of observed
    gradients of air temperature and precipitation for modeling runoff from a glacierized
    watershed in the Nepalese Himalayas. <i>Water Resources Research</i>. 2014;50(3):2212-2226.
    doi:<a href="https://doi.org/10.1002/2013wr014506">10.1002/2013wr014506</a>
  apa: Immerzeel, W. W., Petersen, L., Ragettli, S., &#38; Pellicciotti, F. (2014).
    The importance of observed gradients of air temperature and precipitation for
    modeling runoff from a glacierized watershed in the Nepalese Himalayas. <i>Water
    Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1002/2013wr014506">https://doi.org/10.1002/2013wr014506</a>
  chicago: Immerzeel, W. W., L. Petersen, S. Ragettli, and Francesca Pellicciotti.
    “The Importance of Observed Gradients of Air Temperature and Precipitation for
    Modeling Runoff from a Glacierized Watershed in the Nepalese Himalayas.” <i>Water
    Resources Research</i>. American Geophysical Union, 2014. <a href="https://doi.org/10.1002/2013wr014506">https://doi.org/10.1002/2013wr014506</a>.
  ieee: W. W. Immerzeel, L. Petersen, S. Ragettli, and F. Pellicciotti, “The importance
    of observed gradients of air temperature and precipitation for modeling runoff
    from a glacierized watershed in the Nepalese Himalayas,” <i>Water Resources Research</i>,
    vol. 50, no. 3. American Geophysical Union, pp. 2212–2226, 2014.
  ista: Immerzeel WW, Petersen L, Ragettli S, Pellicciotti F. 2014. The importance
    of observed gradients of air temperature and precipitation for modeling runoff
    from a glacierized watershed in the Nepalese Himalayas. Water Resources Research.
    50(3), 2212–2226.
  mla: Immerzeel, W. W., et al. “The Importance of Observed Gradients of Air Temperature
    and Precipitation for Modeling Runoff from a Glacierized Watershed in the Nepalese
    Himalayas.” <i>Water Resources Research</i>, vol. 50, no. 3, American Geophysical
    Union, 2014, pp. 2212–26, doi:<a href="https://doi.org/10.1002/2013wr014506">10.1002/2013wr014506</a>.
  short: W.W. Immerzeel, L. Petersen, S. Ragettli, F. Pellicciotti, Water Resources
    Research 50 (2014) 2212–2226.
date_created: 2023-02-20T08:17:01Z
date_published: 2014-03-01T00:00:00Z
date_updated: 2023-02-24T08:28:23Z
day: '01'
doi: 10.1002/2013wr014506
extern: '1'
fulldoi: https://doi.org/10.1002/2013wr014506
intvolume: '        50'
issue: '3'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2013WR014506
month: '03'
oa: 1
oa_version: Published Version
page: 2212-2226
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: The importance of observed gradients of air temperature and precipitation for
  modeling runoff from a glacierized watershed in the Nepalese Himalayas
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 50
year: '2014'
...
---
OA_place: publisher
OA_type: free access
_id: '22547'
abstract:
- lang: eng
  text: Interannual variability of precipitation can influence components of the hydrological
    budget, affecting them directly and indirectly through adjustments in vegetation
    structure and function. We investigate the effects of fluctuations of annual precipitation
    on ecohydrological dynamics. Specifically, we use the advanced weather generator,
    AWE‐GEN, to simulate 200 years of hourly meteorological forcing obtained by imposing
    four types of precipitation annual process with identical long‐term mean. The
    generated time series force a mechanistic ecohydrological model, Tethys‐Chloris.
    Simulations with perturbed precipitation variability are performed for four locations
    characterized by different vegetation cover and climate. The results indicate
    that long‐term transpiration (T) and evapotranspiration (ET) fluxes as well as
    vegetation productivity expressed as Gross Primary Production (GPP) and Aboveground
    Net Primary Production (ANPP) are essentially unaffected by the imposed climate
    fluctuations. This finding supports the hypothesis of a relative insensitivity,
    except for water‐limited environments, of interannual evapotranspiration and vegetation
    productivity to annual climatic fluctuations, which are mostly reflected in the
    fluxes of deep leakage and runoff. The occurrence of short periods of favorable
    meteorological conditions randomly taking place within the year was found to be
    a better explanatory variable for interannual variability of ET and ANPP than
    average annual or growing season conditions. The results indicated that local,
    single‐site sensitivities are considerably smaller than those observed across
    climatic and vegetation spatial gradients and thus an important role of ecosystem
    reorganization in modifying ANPP and ET sensitivity in a changing climate is recognized.
article_processing_charge: No
article_type: original
author:
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Valeriy Y.
  full_name: Ivanov, Valeriy Y.
  last_name: Ivanov
citation:
  ama: Fatichi S, Ivanov VY. Interannual variability of evapotranspiration and vegetation
    productivity. <i>Water Resources Research</i>. 2014;50(4):3275-3294. doi:<a href="https://doi.org/10.1002/2013wr015044">10.1002/2013wr015044</a>
  apa: Fatichi, S., &#38; Ivanov, V. Y. (2014). Interannual variability of evapotranspiration
    and vegetation productivity. <i>Water Resources Research</i>. American Geophysical
    Union. <a href="https://doi.org/10.1002/2013wr015044">https://doi.org/10.1002/2013wr015044</a>
  chicago: Fatichi, Simone, and Valeriy Y. Ivanov. “Interannual Variability of Evapotranspiration
    and Vegetation Productivity.” <i>Water Resources Research</i>. American Geophysical
    Union, 2014. <a href="https://doi.org/10.1002/2013wr015044">https://doi.org/10.1002/2013wr015044</a>.
  ieee: S. Fatichi and V. Y. Ivanov, “Interannual variability of evapotranspiration
    and vegetation productivity,” <i>Water Resources Research</i>, vol. 50, no. 4.
    American Geophysical Union, pp. 3275–3294, 2014.
  ista: Fatichi S, Ivanov VY. 2014. Interannual variability of evapotranspiration
    and vegetation productivity. Water Resources Research. 50(4), 3275–3294.
  mla: Fatichi, Simone, and Valeriy Y. Ivanov. “Interannual Variability of Evapotranspiration
    and Vegetation Productivity.” <i>Water Resources Research</i>, vol. 50, no. 4,
    American Geophysical Union, 2014, pp. 3275–94, doi:<a href="https://doi.org/10.1002/2013wr015044">10.1002/2013wr015044</a>.
  short: S. Fatichi, V.Y. Ivanov, Water Resources Research 50 (2014) 3275–3294.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2014-04-01T00:00:00Z
date_updated: 2026-08-06T08:11:01Z
day: '01'
doi: 10.1002/2013wr015044
extern: '1'
fulldoi: https://doi.org/10.1002/2013wr015044
intvolume: '        50'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2013WR015044
month: '04'
oa: 1
oa_version: Published Version
page: 3275-3294
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interannual variability of evapotranspiration and vegetation productivity
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 50
year: '2014'
...
