---
OA_type: closed access
_id: '22539'
abstract:
- lang: eng
text: "Urbanization is projected to add 2.5 billion more urban residents by 2050.
The resulting increases in impervious surfaces leads to altered hydrologic processes
through greater runoff and reduced transpiration. Urban landscapes, characterized
by heterogeneous land covers and infiltration rates, complicates the modeling
of the urban water cycle. Existing models tend to focus on event-scale floods
and thereby overlooking long-term hydrological alterations, as they often oversimplify
hydrological processes such as soil moisture dynamics or evapotranspiration.\r\nAccurately
projecting the long-term hydrological budget over cities is essential to better
understand water resources availability for water sensitive urban design and to
guide urban greening initiatives with the purpose of improving urban water management.
Using Singapore —a densely populated tropical city-state committed to water harvesting—
as a testbed, this study compares two modeling approaches to resolve the long-term
urban hydrological budget. The Urban Tethys & Chloris (UT&C) model offers realistic
representations of urban features, microclimate and hydrology, although it is
computationally intensive. In contrast, the Tethys & Chloris (T&C) model, originally
developed for natural environments, modified here to incorporate simplified urban
features, is simpler and faster allowing fully distributed simulations.\r\nFindings
suggest that while UT&C results may offer a more reliable representation at local
scales, accounting for microclimatic feedback and two-dimensional urban geometries,
both models yield similar hydrological budget insights when integrated at the
city scale – at least in the wet climate of Singapore. Vegetation fraction emerges
as the primary control on total evapotranspiration. T&C’s reduced computational
demand, and native support for distributed hydrological modeling make it well-suited
for city-wide simulations. The overall study underscores the complexities and
feasibility of modeling long-term hydrological processes in urban environments."
article_number: '134000'
article_processing_charge: No
article_type: original
author:
- first_name: Yexia
full_name: Lin Xu, Yexia
last_name: Lin Xu
- first_name: Naika
full_name: Meili, Naika
last_name: Meili
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: 'Lin Xu Y, Meili N, Fatichi S. Long-term hydrological budget over urban areas:
approaches and challenges. Journal of Hydrology. 2025;662, Part B. doi:10.1016/j.jhydrol.2025.134000'
apa: 'Lin Xu, Y., Meili, N., & Fatichi, S. (2025). Long-term hydrological budget
over urban areas: approaches and challenges. Journal of Hydrology. Elsevier.
https://doi.org/10.1016/j.jhydrol.2025.134000'
chicago: 'Lin Xu, Yexia, Naika Meili, and Simone Fatichi. “Long-Term Hydrological
Budget over Urban Areas: Approaches and Challenges.” Journal of Hydrology.
Elsevier, 2025. https://doi.org/10.1016/j.jhydrol.2025.134000.'
ieee: 'Y. Lin Xu, N. Meili, and S. Fatichi, “Long-term hydrological budget over
urban areas: approaches and challenges,” Journal of Hydrology, vol. 662,
Part B. Elsevier, 2025.'
ista: 'Lin Xu Y, Meili N, Fatichi S. 2025. Long-term hydrological budget over urban
areas: approaches and challenges. Journal of Hydrology. 662, Part B, 134000.'
mla: 'Lin Xu, Yexia, et al. “Long-Term Hydrological Budget over Urban Areas: Approaches
and Challenges.” Journal of Hydrology, vol. 662, Part B, 134000, Elsevier,
2025, doi:10.1016/j.jhydrol.2025.134000.'
short: Y. Lin Xu, N. Meili, S. Fatichi, Journal of Hydrology 662, Part B (2025).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2026-08-07T10:37:29Z
day: '01'
doi: 10.1016/j.jhydrol.2025.134000
extern: '1'
language:
- iso: eng
month: '12'
oa_version: None
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Long-term hydrological budget over urban areas: approaches and challenges'
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 662, Part B
year: '2025'
...
---
OA_type: closed access
_id: '22487'
abstract:
- lang: eng
text: As an important part of global semi-arid grassland, adequately understanding
how eco-hydrological processes in the Temperate Semi-Arid Grassland of China (TSGC)
respond to environmental change over a century-long time scale is of critical
importance to environmental change adaptation and mitigation policy in the semi-arid
region. We investigated the dynamics and driving forces of key eco-hydrological
variables (leaf area index (LAI), gross primary production (GPP), evapotranspiration
(ET), water yield (WY), and water use efficiency (WUE)) of 8 typical locations
within the TSGC during the period 1901–2016, using a well-tested mechanistic eco-hydrological
model, seamlessly integrating land-surface energy balance, hydrological and carbon
cycle, vegetation dynamics, and soil biogeochemistry. Results show that dominated
by the elevated CO2, the annual LAI, GPP, and WUE increased significantly during
1901–2016, indicating that the environmental conditions were conducive to vegetation
growth. Warming conditions were a promoter of vegetation growth in sandy grassland
but a suppressant in typical steppe due to water stress increase. For the same
reason, ET of sandy grassland exhibited a significant increasing trend, in response
to warming, while that of typical steppe had an insignificant decreasing trend,
controlled by the precipitation decline. Warming and the vegetation growth acceleration
due to the elevated CO2 negatively influenced WY, which showed a decreasing trend,
especially in the sandy grassland, suggesting the reduction of available water
resources. Overall, our results revealed that this region, especially sandy grassland,
exhibited an “enhanced vegetation but decreased water yield” trend under environmental
changes occurred in the past century.
article_number: '129235'
article_processing_charge: No
article_type: original
author:
- first_name: Xinxin
full_name: Pang, Xinxin
last_name: Pang
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Huimin
full_name: Lei, Huimin
last_name: Lei
- first_name: Zhentao
full_name: Cong, Zhentao
last_name: Cong
- first_name: Hanbo
full_name: Yang, Hanbo
last_name: Yang
- first_name: Limin
full_name: Duan, Limin
last_name: Duan
citation:
ama: Pang X, Fatichi S, Lei H, Cong Z, Yang H, Duan L. Environmental changes promoted
vegetation growth and reduced water yield over the temperate semi-arid grassland
of China during 1901–2016. Journal of Hydrology. 2023;618. doi:10.1016/j.jhydrol.2023.129235
apa: Pang, X., Fatichi, S., Lei, H., Cong, Z., Yang, H., & Duan, L. (2023).
Environmental changes promoted vegetation growth and reduced water yield over
the temperate semi-arid grassland of China during 1901–2016. Journal of Hydrology.
Elsevier. https://doi.org/10.1016/j.jhydrol.2023.129235
chicago: Pang, Xinxin, Simone Fatichi, Huimin Lei, Zhentao Cong, Hanbo Yang, and
Limin Duan. “Environmental Changes Promoted Vegetation Growth and Reduced Water
Yield over the Temperate Semi-Arid Grassland of China during 1901–2016.” Journal
of Hydrology. Elsevier, 2023. https://doi.org/10.1016/j.jhydrol.2023.129235.
ieee: X. Pang, S. Fatichi, H. Lei, Z. Cong, H. Yang, and L. Duan, “Environmental
changes promoted vegetation growth and reduced water yield over the temperate
semi-arid grassland of China during 1901–2016,” Journal of Hydrology, vol.
618. Elsevier, 2023.
ista: Pang X, Fatichi S, Lei H, Cong Z, Yang H, Duan L. 2023. Environmental changes
promoted vegetation growth and reduced water yield over the temperate semi-arid
grassland of China during 1901–2016. Journal of Hydrology. 618, 129235.
mla: Pang, Xinxin, et al. “Environmental Changes Promoted Vegetation Growth and
Reduced Water Yield over the Temperate Semi-Arid Grassland of China during 1901–2016.”
Journal of Hydrology, vol. 618, 129235, Elsevier, 2023, doi:10.1016/j.jhydrol.2023.129235.
short: X. Pang, S. Fatichi, H. Lei, Z. Cong, H. Yang, L. Duan, Journal of Hydrology
618 (2023).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2023-03-01T00:00:00Z
date_updated: 2026-07-30T11:01:14Z
day: '01'
doi: 10.1016/j.jhydrol.2023.129235
extern: '1'
intvolume: ' 618'
language:
- iso: eng
month: '03'
oa_version: None
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Environmental changes promoted vegetation growth and reduced water yield over
the temperate semi-arid grassland of China during 1901–2016
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 618
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22529'
abstract:
- lang: eng
text: Mountainous catchments cover a broad range of elevations and their response
to a warming climate is expected to vary significantly in space. Nevertheless,
studies on climate change impacts typically examine the changes in flow statistics
only at the catchment outlet. In this study, we instead demonstrate the high variability
of the hydrological response to climate change at the sub-catchment scale, investigating
in detail the contribution of all components of the hydrological cycle in two
mountainous catchments (Thur and Kleine Emme) in the Swiss Alps. The analysis
was conducted with a two-dimensional weather generator model that simulated gridded
climate variables at an hourly and 2-km resolution until the end of the 21st century
for the RCP8.5 emission scenario. The climate ensemble was used as input into
a distributed hydrological model to estimate the changes in hydrological processes
at 100-m and hourly resolutions. Climate models show that precipitation intensifies
during winter but weakens during summer in the order of ± 5–10% toward the end
of the century. Temperature will rise by up to 4°C, leading to a 50% reduction
in snowmelt, 10% increase in evapotranspiration, and shift in precipitation type
from snowfall to rainfall. As a result, streamflow is projected to increase by
40% in winter but decrease by 20% to 40% during summer, with winter floods becoming
more frequent. The changes to streamflow (mean and extreme low and high flows)
at the sub-catchments show a strong dependency with elevation. In contrast to
the small changes projected at the outlet of the catchments, streamflow shows
a reduction at higher elevations (up to −20% change in mean streamflow for sub-catchments
at elevations exceeding 1400 m) and an increase at lower elevations (up to +5%
for Kleine Emme and +20% for the Thur at elevations below 600 m). These impacts
are tied to the changes in precipitation, as well as changes in snowmelt (at high
elevation) and evapotranspiration (at low elevation). The results reveal the causes
and diversity of hydrological response to climate change, emphasizing the importance
of investigating the distributed impacts of climate change in mountainous environments.
article_number: '126806'
article_processing_charge: No
article_type: original
author:
- first_name: Jorge Sebastián
full_name: Moraga, Jorge Sebastián
last_name: Moraga
- first_name: Nadav
full_name: Peleg, Nadav
last_name: Peleg
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Peter
full_name: Molnar, Peter
last_name: Molnar
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
citation:
ama: Moraga JS, Peleg N, Fatichi S, Molnar P, Burlando P. Revealing the impacts
of climate change on mountainous catchments through high-resolution modelling.
Journal of Hydrology. 2021;603. doi:10.1016/j.jhydrol.2021.126806
apa: Moraga, J. S., Peleg, N., Fatichi, S., Molnar, P., & Burlando, P. (2021).
Revealing the impacts of climate change on mountainous catchments through high-resolution
modelling. Journal of Hydrology. Elsevier. https://doi.org/10.1016/j.jhydrol.2021.126806
chicago: Moraga, Jorge Sebastián, Nadav Peleg, Simone Fatichi, Peter Molnar, and
Paolo Burlando. “Revealing the Impacts of Climate Change on Mountainous Catchments
through High-Resolution Modelling.” Journal of Hydrology. Elsevier, 2021.
https://doi.org/10.1016/j.jhydrol.2021.126806.
ieee: J. S. Moraga, N. Peleg, S. Fatichi, P. Molnar, and P. Burlando, “Revealing
the impacts of climate change on mountainous catchments through high-resolution
modelling,” Journal of Hydrology, vol. 603. Elsevier, 2021.
ista: Moraga JS, Peleg N, Fatichi S, Molnar P, Burlando P. 2021. Revealing the impacts
of climate change on mountainous catchments through high-resolution modelling.
Journal of Hydrology. 603, 126806.
mla: Moraga, Jorge Sebastián, et al. “Revealing the Impacts of Climate Change on
Mountainous Catchments through High-Resolution Modelling.” Journal of Hydrology,
vol. 603, 126806, Elsevier, 2021, doi:10.1016/j.jhydrol.2021.126806.
short: J.S. Moraga, N. Peleg, S. Fatichi, P. Molnar, P. Burlando, Journal of Hydrology
603 (2021).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2026-08-06T14:31:25Z
day: '01'
doi: 10.1016/j.jhydrol.2021.126806
extern: '1'
intvolume: ' 603'
keyword:
- Catchment modelling
- Climate change impacts
- Weather generator
- Distributed hydrological model
- Streamflow extremes
- Hydrological response
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.jhydrol.2021.126806
month: '12'
oa: 1
oa_version: Published Version
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Revealing the impacts of climate change on mountainous catchments through high-resolution
modelling
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: 603
year: '2021'
...
---
OA_type: closed access
_id: '22549'
abstract:
- lang: eng
text: "The time that rainfall takes to reach the outlet of a catchment as discharge
(transit time) is a fundamental and\r\nintegrated measure of catchment hydrological
processes and solute transport mechanisms. As such, many efforts\r\nhave been
dedicated to its understanding and quantification. However, defining and ranking
which factors,\r\ninternal and external to the system, control the distributions
of transit time is still an open challenge. Here, we\r\ndevelop a two-stage approach
to explore climate and topography controls on transit time, using a fully distributed
hydrological model coupled with a transport component. Specifically, we apply
the model to two\r\nsynthetic topographies under five observed climate regimes.
With this setup, water fluxes from two years of daily\r\nrainfall events are singularly
tracked across the catchments to then derive the distributions of transit time
and\r\nfraction of young water for each combination of topography and climate.
Results highlight a considerable\r\nvariability of transit times in all climates
and a pronounced effect of topography within a given climate. They\r\nfurther
reveal that for wet climates it is possible to define a curve describing water
transit time as a function of\r\ncumulative discharge that only depends on topographic
properties. On the contrary, in dry climates the variability of transit time and
young water fraction is much larger and not amenable to a simple summary. Despite\r\nsimplifications,
quantitative model-based inferences of transit time distributions are useful to
better understand\r\nhow climate and topography affect catchment functioning."
article_processing_charge: No
article_type: original
author:
- first_name: Federica
full_name: Remondi, Federica
last_name: Remondi
- first_name: Martina
full_name: Botter, Martina
last_name: Botter
- 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, Botter M, Burlando P, Fatichi S. Variability of transit time distributions
with climate and topography: A modelling approach. Journal of Hydrology.
2019;569:37-50. doi:10.1016/j.jhydrol.2018.11.011'
apa: 'Remondi, F., Botter, M., Burlando, P., & Fatichi, S. (2019). Variability
of transit time distributions with climate and topography: A modelling approach.
Journal of Hydrology. Elsevier. https://doi.org/10.1016/j.jhydrol.2018.11.011'
chicago: 'Remondi, Federica, Martina Botter, Paolo Burlando, and Simone Fatichi.
“Variability of Transit Time Distributions with Climate and Topography: A Modelling
Approach.” Journal of Hydrology. Elsevier, 2019. https://doi.org/10.1016/j.jhydrol.2018.11.011.'
ieee: 'F. Remondi, M. Botter, P. Burlando, and S. Fatichi, “Variability of transit
time distributions with climate and topography: A modelling approach,” Journal
of Hydrology, vol. 569. Elsevier, pp. 37–50, 2019.'
ista: 'Remondi F, Botter M, Burlando P, Fatichi S. 2019. Variability of transit
time distributions with climate and topography: A modelling approach. Journal
of Hydrology. 569, 37–50.'
mla: 'Remondi, Federica, et al. “Variability of Transit Time Distributions with
Climate and Topography: A Modelling Approach.” Journal of Hydrology, vol.
569, Elsevier, 2019, pp. 37–50, doi:10.1016/j.jhydrol.2018.11.011.'
short: F. Remondi, M. Botter, P. Burlando, S. Fatichi, Journal of Hydrology 569
(2019) 37–50.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2019-02-01T00:00:00Z
date_updated: 2026-08-06T08:12:57Z
day: '01'
doi: 10.1016/j.jhydrol.2018.11.011
extern: '1'
intvolume: ' 569'
keyword:
- Transit time distributions
- Young water
- Climate
- Topography
- Distributed hydrological modelling
language:
- iso: eng
month: '02'
oa_version: None
page: 37-50
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Variability of transit time distributions with climate and topography: A modelling
approach'
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 569
year: '2019'
...
---
OA_type: closed access
_id: '22551'
abstract:
- lang: eng
text: Exploring the effects of climate change on the hydrological response at the
local scale requires climate data at high spatial and temporal resolutions. This
is best achieved by generating downscaled ensembles of future climate variables
derived from climate models. For this purpose we present a methodology to re-parameterize
the AWE-GEN-2d model (Advanced WEather GENerator for a two-dimensional grid).
The model simulates key meteorological variables needed by hydrological models
and is particularly suitable to explore the effects of stochastic (natural) climatic
uncertainty, which is fundamental for hydrological applications, especially at
sub-kilometer and hourly scales. Factors of change for different climate statistics
are calculated from climate model simulations of present and future climates and
subsequently applied to the statistics derived from observations to re-parameterize
AWE-GEN-2d. The model abilities in generating an ensemble of future climate variables
for the transient period 2020–2089 is presented with examples of precipitation
and near-surface air temperature fields from hourly to multi-annual scales for
a small mountainous region in the Swiss Alps. The stochastic uncertainty is examined
for present and future periods and for spatial scales from the RCM scale (12-km,
daily) to 2-km demonstrating the potential use of AWE-GEN-2d outputs. At the RCM
scale, model results yield a small increase in annual precipitation (4%) which
is within the stochastic uncertainty range for present and future periods (7%).
At the fine scale of 2-km, the increase in annual precipitation can exceed the
stochastic uncertainty, but for less than 10% of the domain area. On the contrary,
changes in annual near-surface air temperature exceed stochastic uncertainty both
at the RCM and finer scales. Stochastic climate uncertainty was concluded to be
very similar when comparing present and future periods and 12-km and 2-km scales.
The benefits of using AWE-GEN-2d in hydrological climate change impact assessments
are finally discussed.
article_processing_charge: No
article_type: original
author:
- first_name: Nadav
full_name: Peleg, Nadav
last_name: Peleg
- first_name: Peter
full_name: Molnar, Peter
last_name: Molnar
- 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: Peleg N, Molnar P, Burlando P, Fatichi S. Exploring stochastic climate uncertainty
in space and time using a gridded hourly weather generator. Journal of Hydrology.
2019;571:627-641. doi:10.1016/j.jhydrol.2019.02.010
apa: Peleg, N., Molnar, P., Burlando, P., & Fatichi, S. (2019). Exploring stochastic
climate uncertainty in space and time using a gridded hourly weather generator.
Journal of Hydrology. Elsevier. https://doi.org/10.1016/j.jhydrol.2019.02.010
chicago: Peleg, Nadav, Peter Molnar, Paolo Burlando, and Simone Fatichi. “Exploring
Stochastic Climate Uncertainty in Space and Time Using a Gridded Hourly Weather
Generator.” Journal of Hydrology. Elsevier, 2019. https://doi.org/10.1016/j.jhydrol.2019.02.010.
ieee: N. Peleg, P. Molnar, P. Burlando, and S. Fatichi, “Exploring stochastic climate
uncertainty in space and time using a gridded hourly weather generator,” Journal
of Hydrology, vol. 571. Elsevier, pp. 627–641, 2019.
ista: Peleg N, Molnar P, Burlando P, Fatichi S. 2019. Exploring stochastic climate
uncertainty in space and time using a gridded hourly weather generator. Journal
of Hydrology. 571, 627–641.
mla: Peleg, Nadav, et al. “Exploring Stochastic Climate Uncertainty in Space and
Time Using a Gridded Hourly Weather Generator.” Journal of Hydrology, vol.
571, Elsevier, 2019, pp. 627–41, doi:10.1016/j.jhydrol.2019.02.010.
short: N. Peleg, P. Molnar, P. Burlando, S. Fatichi, Journal of Hydrology 571 (2019)
627–641.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2019-04-01T00:00:00Z
date_updated: 2026-08-06T08:45:41Z
day: '01'
doi: 10.1016/j.jhydrol.2019.02.010
extern: '1'
intvolume: ' 571'
keyword:
- Weather generator
- Stochastic downscaling
- Climate change
- Internal climate variability
- Climate uncertainty
- High-resolution rainfall model
language:
- iso: eng
month: '04'
oa_version: None
page: 627-641
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Exploring stochastic climate uncertainty in space and time using a gridded
hourly weather generator
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 571
year: '2019'
...
---
OA_type: closed access
_id: '22550'
abstract:
- lang: eng
text: 'Extreme rainfall is quantified in engineering practice using Intensity–Duration–Frequency
curves (IDF) that are traditionally derived from rain-gauges and more recently
also from remote sensing instruments, such as weather radars. These instruments
measure rainfall at different spatial scales: rain-gauge samples rainfall at the
point scale while weather radar averages precipitation on a relatively large area,
generally around 1 km2. As such, a radar derived IDF curve is representative of
the mean areal rainfall over a given radar pixel and neglects the within-pixel
rainfall variability. In this study, we quantify subpixel variability of extreme
rainfall by using a novel space–time rainfall generator (STREAP model) that downscales
in space the rainfall within a given radar pixel. The study was conducted using
a unique radar data record (23 years) and a very dense rain-gauge network in the
Eastern Mediterranean area (northern Israel). Radar–IDF curves, together with
an ensemble of point-based IDF curves representing the radar subpixel extreme
rainfall variability, were developed fitting Generalized Extreme Value (GEV) distributions
to annual rainfall maxima. It was found that the mean areal extreme rainfall derived
from the radar underestimate most of the extreme values computed for point locations
within the radar pixel (on average, ∼70%). The subpixel variability of rainfall
extreme was found to increase with longer return periods and shorter durations
(e.g. from a maximum variability of 10% for a return period of 2 years and a duration
of 4 h to 30% for 50 years return period and 20 min duration). For the longer
return periods, a considerable enhancement of extreme rainfall variability was
found when stochastic (natural) climate variability was taken into account. Bounding
the range of the subpixel extreme rainfall derived from radar–IDF can be of major
importance for different applications that require very local estimates of rainfall
extremes.'
article_processing_charge: No
article_type: original
author:
- first_name: Nadav
full_name: Peleg, Nadav
last_name: Peleg
- first_name: Francesco
full_name: Marra, Francesco
last_name: Marra
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Athanasios
full_name: Paschalis, Athanasios
last_name: Paschalis
- first_name: Peter
full_name: Molnar, Peter
last_name: Molnar
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
citation:
ama: Peleg N, Marra F, Fatichi S, Paschalis A, Molnar P, Burlando P. Spatial variability
of extreme rainfall at radar subpixel scale. Journal of Hydrology. 2018;556:922-933.
doi:10.1016/j.jhydrol.2016.05.033
apa: Peleg, N., Marra, F., Fatichi, S., Paschalis, A., Molnar, P., & Burlando,
P. (2018). Spatial variability of extreme rainfall at radar subpixel scale. Journal
of Hydrology. Elsevier. https://doi.org/10.1016/j.jhydrol.2016.05.033
chicago: Peleg, Nadav, Francesco Marra, Simone Fatichi, Athanasios Paschalis, Peter
Molnar, and Paolo Burlando. “Spatial Variability of Extreme Rainfall at Radar
Subpixel Scale.” Journal of Hydrology. Elsevier, 2018. https://doi.org/10.1016/j.jhydrol.2016.05.033.
ieee: N. Peleg, F. Marra, S. Fatichi, A. Paschalis, P. Molnar, and P. Burlando,
“Spatial variability of extreme rainfall at radar subpixel scale,” Journal
of Hydrology, vol. 556. Elsevier, pp. 922–933, 2018.
ista: Peleg N, Marra F, Fatichi S, Paschalis A, Molnar P, Burlando P. 2018. Spatial
variability of extreme rainfall at radar subpixel scale. Journal of Hydrology.
556, 922–933.
mla: Peleg, Nadav, et al. “Spatial Variability of Extreme Rainfall at Radar Subpixel
Scale.” Journal of Hydrology, vol. 556, Elsevier, 2018, pp. 922–33, doi:10.1016/j.jhydrol.2016.05.033.
short: N. Peleg, F. Marra, S. Fatichi, A. Paschalis, P. Molnar, P. Burlando, Journal
of Hydrology 556 (2018) 922–933.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2018-01-01T00:00:00Z
date_updated: 2026-08-06T08:09:51Z
day: '01'
doi: 10.1016/j.jhydrol.2016.05.033
extern: '1'
intvolume: ' 556'
keyword:
- Extreme rainfall variability
- High resolution rainfall modeling
- IDF curves
- Precipitation downscaling
- Subpixel scale
- Weather radar
language:
- iso: eng
month: '01'
oa_version: None
page: 922-933
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatial variability of extreme rainfall at radar subpixel scale
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 556
year: '2018'
...
---
OA_type: closed access
_id: '22521'
abstract:
- lang: eng
text: "A fully distributed hydrological analysis at scales significant for water
management for present-day, and\r\nprojected future climate conditions is presented
for a catchment in the Alps. We selected the upper Rhone\r\nbasin (Switzerland)
as a test case for understanding anthropogenic impacts including climate change
on\r\nwater resources and flood risk in the Alpine area. The upper Rhone basin
contains reservoirs, river diversions and irrigated areas offering the opportunity
to study the interaction between climate change effects\r\nand hydraulic infrastructure.
Anthropogenic disturbances of the flow regime were implemented in detail\r\nin
the hydrological analysis. We downscaled climate model realizations using a methodology
that\r\naccounts for the uncertainty in climate change projections related to
the stochastic variability of precipitation and air temperature. We showed how
climate change effects on streamflow propagate from high\r\nelevation headwater
catchments to the river in the main valley by analyzing changes in several hydrological
metrics and at various temporal scales across 297 control sections. Changes in
the natural hydrological regime imposed by the existing hydraulic infrastructure
are likely larger than climate change\r\nsignals expected by the middle of the
21st century in most of the river network. Despite a strong uncertainty induced
by stochastic climate variability, we identified an elevational dependence of
climate\r\nchange impacts with a severe reduction in streamflow due to the missing
contribution of water from\r\nice melt at high-elevation and a dampened effect
downstream. Reduced ice cover and ice melt are likely\r\nto have significant implications
for hydropower production. The impacts can emerge without any additional climate
warming. A decrease of August–September discharge and an increase of hourly and
daily\r\nmaximum flows appear as plausible projected change for the most part
of the catchment. However, it is\r\nunlikely that major changes in total runoff
for the entire upper Rhone basin will occur in the next four\r\ndecades."
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: S.
full_name: Rimkus, S.
last_name: Rimkus
- first_name: P.
full_name: Burlando, P.
last_name: Burlando
- first_name: R.
full_name: Bordoy, R.
last_name: Bordoy
- first_name: P.
full_name: Molnar, P.
last_name: Molnar
citation:
ama: Fatichi S, Rimkus S, Burlando P, Bordoy R, Molnar P. High-resolution distributed
analysis of climate and anthropogenic changes on the hydrology of an Alpine catchment.
Journal of Hydrology. 2015;525:362-382. doi:10.1016/j.jhydrol.2015.03.036
apa: Fatichi, S., Rimkus, S., Burlando, P., Bordoy, R., & Molnar, P. (2015).
High-resolution distributed analysis of climate and anthropogenic changes on the
hydrology of an Alpine catchment. Journal of Hydrology. Elsevier. https://doi.org/10.1016/j.jhydrol.2015.03.036
chicago: Fatichi, Simone, S. Rimkus, P. Burlando, R. Bordoy, and P. Molnar. “High-Resolution
Distributed Analysis of Climate and Anthropogenic Changes on the Hydrology of
an Alpine Catchment.” Journal of Hydrology. Elsevier, 2015. https://doi.org/10.1016/j.jhydrol.2015.03.036.
ieee: S. Fatichi, S. Rimkus, P. Burlando, R. Bordoy, and P. Molnar, “High-resolution
distributed analysis of climate and anthropogenic changes on the hydrology of
an Alpine catchment,” Journal of Hydrology, vol. 525. Elsevier, pp. 362–382,
2015.
ista: Fatichi S, Rimkus S, Burlando P, Bordoy R, Molnar P. 2015. High-resolution
distributed analysis of climate and anthropogenic changes on the hydrology of
an Alpine catchment. Journal of Hydrology. 525, 362–382.
mla: Fatichi, Simone, et al. “High-Resolution Distributed Analysis of Climate and
Anthropogenic Changes on the Hydrology of an Alpine Catchment.” Journal of
Hydrology, vol. 525, Elsevier, 2015, pp. 362–82, doi:10.1016/j.jhydrol.2015.03.036.
short: S. Fatichi, S. Rimkus, P. Burlando, R. Bordoy, P. Molnar, Journal of Hydrology
525 (2015) 362–382.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2026-08-06T08:04:28Z
day: '01'
doi: 10.1016/j.jhydrol.2015.03.036
extern: '1'
intvolume: ' 525'
keyword:
- Climate change
- Water resources
- Stochastic approaches
- Ice melt
- Alps
- Hydrological modeling
language:
- iso: eng
month: '06'
oa_version: None
page: 362-382
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: High-resolution distributed analysis of climate and anthropogenic changes on
the hydrology of an Alpine catchment
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 525
year: '2015'
...