Earth data assimilation in hydrologic models: recent advances

被引：2

作者：

Jeyalakshmi S. ^{[1
]}

Chilkoti V. ^{[1
]}

Bolisetti T. ^{[1
]}

Balachandar R. ^{[1
]}

机构：

[1] Department of Civil and Environmental Engineering, University of Windsor, Windsor

来源：

International Journal of Environmental Studies | 2021年 / 78卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

climate change; data assimilation; Hydrologic modelling; remote sensing data;

D O I：

10.1080/00207233.2021.1875303

中图分类号：

学科分类号：

摘要：

Hydrologic model forecasts have inherent uncertainties from input errors, lack of physical representation, and parameter equifinality. Accurate modelling results with reduced uncertainty are necessary for water resources management and decision-making, especially in a changing climate scenario. To this end, the hydrologic modelling community widely accepts the assimilation of satellite remote sensing data. This paper reviews the recent developments in hydrologic data assimilation (DA) focusing on progress in the role of satellite remote sensing data in reducing model uncertainty. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：1003 / 1021

页数：18

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