Triple collocation-based error estimation and data fusion of global gridded precipitation products over the Yangtze River basin

Author:

Chen Cheng,He Mengnan,Chen Qiuwen,Zhang Jianyun,Li Zhe,Wang Zhiyuan,Duan Zheng

Funder

National Natural Science Foundation of China

China Academy of Space Technology

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference52 articles.

1. Characterization of precipitation product errors across the US using multiplicative Triple Collocation;Alemohammad;Hydrol. Earth Syst. Sci.,2015

2. PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies;Ashouri;Bull. Am. Meteorol. Soc.,2015

3. RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements;Baez-Villanueva;Remote Sens. Environ.,2020

4. Daily evaluation of 26 precipitation datasets using stage-iv gauge-radar data for the conus;Beck;Hydrol. Earth Syst. Sci. Discuss.,2018

5. On the spatial and temporal sampling errors of remotely sensed precipitation products;Behrangi;Remote Sensing,2017

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