---
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'
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'
...