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Cited by 636

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Improving the representation of hydrologic processes in Earth System Models

Open access
Clark, Martyn P., Fan, Ying, Lawrence, David M., Adam, Jennifer C., Bolster, Diogo, Gochis, David J., Hooper, Richard P., Kumar, Mukesh, Leung, L. Ruby, Mackay, D. Scott, Maxwell, Reed M., Shen, Chaopeng, Swenson, Sean C., Zeng, Xubin·2015·Water Resources Research

Abstract

Many of the scientific and societal challenges in understanding and preparing for global environmental change rest upon our ability to understand and predict the water cycle change at large river basin, continent, and global scales. However, current large‐scale land models (as a component of Earth System Models, or ESMs) do not yet reflect the best hydrologic process understanding or utilize the large amount of hydrologic observations for model testing. This paper discusses the opportunities and key challenges to improve hydrologic process representations and benchmarking in ESM land models, suggesting that (1) land model development can benefit from recent advances in hydrology, both through incorporating key processes (e.g., groundwater‐surface water interactions) and new approaches to describe multiscale spatial variability and hydrologic connectivity; (2) accelerating model advances requires comprehensive hydrologic benchmarking in order to systematically evaluate competing alternatives, understand model weaknesses, and prioritize model development needs, and (3) stronger collaboration is needed between the hydrology and ESM modeling communities, both through greater engagement of hydrologists in ESM land model development, and through rigorous evaluation of ESM hydrology performance in research watersheds or Critical Zone Observatories. Such coordinated efforts in advancing hydrology in ESMs have the potential to substantially impact energy, carbon, and nutrient cycle prediction capabilities through the fundamental role hydrologic processes play in regulating these cycles.

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Metadata

Authors
Clark, M. P., Fan, Y., Lawrence, D. M., Adam, J. C., Bolster, D., Gochis, D. J., Hooper, R. P., Kumar, M., Leung, L. R., Mackay, D. S., Maxwell, R. M., Shen, C., Swenson, S. C., & Zeng, X.
Venue
Water Resources Research
Published
2015-08
Volume
51
Issue
8
Pages
5929-5956
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2170034874
Cited by
636
References
6
FWCI
22.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Improving the representation of hydrologic processes in Earth System Models. https://app.cochat.ai/papers/10.1002/2015wr017096
The paper
Clark, M. P., Fan, Y., Lawrence, D. M., Adam, J. C., Bolster, D., Gochis, D. J., Hooper, R. P., Kumar, M., Leung, L. R., Mackay, D. S., Maxwell, R. M., Shen, C., Swenson, S. C., & Zeng, X. (2015). Improving the representation of hydrologic processes in Earth System Models. Water Resources Research. https://doi.org/10.1002/2015wr017096

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.