A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China-Reference-Cited by-同舟云学术

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A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China

Published:2024-09 Issue: Volume:641 Page:131757
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Wei Linyong,Jiang Shanhu,Dong Jianzhi,Ren Liliang,Yong Bin,Yang Bang,Li Xueying,Duan Zheng

Funder

Guangxi Key Laboratory of Disaster Prevention and Engineering Safety

Fundamental Research Funds for the Central Universities

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Ministry of Water Resources

Publisher

Elsevier BV

Reference56 articles.

1. Characterization of precipitation product errors across the United States using multiplicative triple collocation;Alemohammad;Hydrol. Earth Syst. Sci.,2015

2. Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography;Amjad;J. Hydrol.,2020

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

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

5. MSWEP V2 global 3-hourly 0.1° precipitation: methodology and quantitative assessment;Beck;Bull. Am. Meteorol. Soc.,2019

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