Representing Human Water Management in a Land Surface Model Using a Supply/Demand Approach-Reference-Cited by-同舟云学术

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Representing Human Water Management in a Land Surface Model Using a Supply/Demand Approach

Published:2021-04 Issue:4 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Zhou Xudong¹²³^ORCID,Polcher Jan¹^ORCID,Dumas Patrice⁴^ORCID

Affiliation:

1. Laboratoire de Météorologie Dynamique IPSL CNRS Ecole Polytechnique Palaiseau France

2. State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Hohai University Nanjing China

3. Now at University of Tokyo Meguro‐ku Japan

4. CIRAD UMR CIRED Montpellier France

Funder

Agence Nationale de la Recherche

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028133

Reference59 articles.

1. Simulation of reservoir influences on annual and seasonal streamflow changes for the Lena, Yenisei, and Ob' rivers

2. Assessment of precipitation error propagation in multi-model global water resource reanalysis

3. Impact of reservoirs on river discharge and irrigation water supply during the 20th century

4. Optional water development strategies for the Yellow River Basin: Balancing agricultural and ecological water demands

5. HydroBlocks: a field‐scale resolving land surface model for application over continental extents

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1. Assessing the impact of agriculture, coal mining, and ecological restoration on water sustainability in the Mu Us Sandyland;Science of The Total Environment;2024-06

2. Validation of a new global irrigation scheme in the land surface model ORCHIDEE v2.2;Geoscientific Model Development;2024-03-15

3. Estimation of water storage capacity of Chinese reservoirs by statistical and machine learning models;Journal of Hydrology;2024-02

4. Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations;Hydrology and Earth System Sciences;2023-12-20

5. Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water;Geoscientific Model Development;2023-05-12

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