Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study-Reference-Cited by-同舟云学术

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Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study

Published:2018-05-01 Issue:5 Volume:13 Page:055008
ISSN:1748-9326
Container-title:Environmental Research Letters
language:
Short-container-title:Environ. Res. Lett.

Author:

Veldkamp T I E^ORCID,Zhao F^ORCID,Ward P J^ORCID,de Moel H,Aerts J C J H,Schmied H Müller^ORCID,Portmann F T,Masaki Y,Pokhrel Y,Liu X^ORCID,Satoh Y,Gerten D,Gosling S N^ORCID,Zaherpour J,Wada Y

Funder

Islamic Development Bank

Environmental Research and Technology Development Fund, Ministry of the Environment, Japan

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

European Union 7th Framework Programme

Publisher

IOP Publishing

Subject

Public Health, Environmental and Occupational Health,General Environmental Science,Renewable Energy, Sustainability and the Environment

Link

https://iopscience.iop.org/article/10.1088/1748-9326/aab96f/pdf

Reference107 articles.

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

2. Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation

3. Global-scale regionalization of hydrologic model parameters

4. Global evaluation of runoff from 10 state-of-the-art hydrological models

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