Can We Use the Water Budget to Infer Upland Catchment Behavior? The Role of Data Set Error Estimation and Interbasin Groundwater Flow-Reference-Cited by-同舟云学术

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Can We Use the Water Budget to Infer Upland Catchment Behavior? The Role of Data Set Error Estimation and Interbasin Groundwater Flow

Published:2022-09 Issue:9 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Gordon Beatrice L.¹²^ORCID,Crow Wade T.³^ORCID,Konings Alexandra G.⁴^ORCID,Dralle David N.⁵^ORCID,Harpold Adrian A.¹^ORCID

Affiliation:

1. Department of Natural Resources and Environmental Sciences University of Nevada, Reno Reno NV USA

2. Graduate Program of Hydrologic Sciences University of Nevada, Reno Reno NV USA

3. USDA‐ARS Hydrology and Remote Sensing Laboratory Beltsville MD USA

4. Department of Earth System Science Stanford University Stanford CA USA

5. Paciﬁc Southwest Research Station United States Forest Service Davis CA USA

Funder

National Institute of Food and Agriculture

Division of Earth Sciences

Lincoln Institute of Land Policy

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030966

Reference112 articles.

1. Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques

2. The CAMELS data set: catchment attributes and meteorology for large-sample studies

3. Characterization of precipitation product errors across the United States using multiplicative triple collocation

4. Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery

5. On the ambiguous interpretation of the Turc‐Budyko nondimensional graph

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2. Deciphering inter-catchment groundwater flow: A water balance perspective in the Choshui River Basin, Taiwan;Journal of Hydrology: Regional Studies;2024-06

3. Catchment characterization: Current descriptors, knowledge gaps and future opportunities;Earth-Science Reviews;2024-05

4. Catchment‐Wide Groundwater Budget for the Inkomati‐Usuthu Water Management Area in South Africa;Groundwater;2024-03-21

5. On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration;Hydrology and Earth System Sciences;2024-02-07

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