Evaluating the double-kernel smoothing technique of blending TRMM and gauge data to identify flood events in the Xiangjiang River Basin, China-Reference-Cited by-同舟云学术

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Evaluating the double-kernel smoothing technique of blending TRMM and gauge data to identify flood events in the Xiangjiang River Basin, China

Published:2023-06-12 Issue:1 Volume:14 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Yang Yumeng¹²,Ma Yunjia¹,Liu Jingyu²,Liu Baoyin³,Du Juan²,He Shanfeng¹

Affiliation:

1. School of Geography and Tourism, Qufu Normal University, Rizhao, China

2. Key Laboratory of Environment Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing, China

3. Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China

Funder

the Program of Introducing Talent to Universities

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2221991

Reference58 articles.

1. Evaluation of TRMM 3B42V7 and CHIRPS Satellite Precipitation Products as an Input for Hydrological Model over Eastern Nile Basin

2. Hydrologic Assessment of the Uncertainty of Six Remote Sensing Precipitation Estimates Driven by a Distributed Hydrologic Model in the Blue Nile Basin

3. Evaluation of Satellite Precipitation Products for Hydrological Modeling in the Brazilian Cerrado Biome

4. A Probabilistic Modelling System for Assessing Flood Risks

5. Evaluation of Satellite-Derived Rainfall Data for Multiple Physio-Climatic Regions in the Santiago River Basin, Mexico

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