Biological and Environmental Research - Earth and Environmental System Sciences
Earth and Environmental System Modeling

Improving the Representation of Hydrologic Processes in Earth System Models

TitleImproving the Representation of Hydrologic Processes in Earth System Models
Publication TypeJournal Article
Year of Publication2015
AuthorsClark, Martyn P., Fan Ying, Lawrence David M., Adam Jennifer C., Bolster Diogo, Gochis David J., Hooper Richard P., Kumar Mukesh, L. Leung Ruby, D Mackay Scott, Maxwell Reed M., Shen Chaopeng, Swenson Sean C., and Zeng Xubin
JournalWater Resources Research
Volume51
Number8
Pages5929-5956
Abstract / Summary

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.

URLhttps://doi.org/10.1002/2015WR017096
DOI10.1002/2015WR017096
Journal: Water Resources Research
Year of Publication: 2015
Volume: 51
Number: 8
Pages: 5929-5956
Publication Date: 08/2015

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.

DOI: 10.1002/2015WR017096
Citation:
Clark, MP, Y Fan, DM Lawrence, JC Adam, D Bolster, DJ Gochis, RP Hooper, et al.  2015.  "Improving the Representation of Hydrologic Processes in Earth System Models."  Water Resources Research 51(8): 5929-5956.  https://doi.org/10.1002/2015WR017096.