Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation

Published:2022-12 Issue: Volume:283 Page:113299
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Dong Jianzhi,Crow Wade T.,Chen Xi,Tangdamrongsub Natthachet,Gao Man,Sun Shanlei,Qiu Jianxiu,Wei Lingna,Gao Hongkai,Duan Zheng

Funder

National Natural Science Foundation of China

U.S. Department of Agriculture

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference50 articles.

1. The Version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–Present);Adler;J. Hydrometeorol.,2003

2. Systematic and random error components in satellite precipitation data sets;AghaKouchak;Geophys. Res. Lett.,2012

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

4. Applied fitting theory I: general least squares theory.CLEO Note CBX;Avery,1991

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

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improvements and limitations of the latest version 8 of GSMaP compared with its former version 7 and IMERG V06 at multiple spatio-temporal scales in mainland China;Atmospheric Research;2024-10

2. A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China;Journal of Hydrology;2024-09

3. Toward an improved ensemble of multi-source daily precipitation via joint machine learning classification and regression;Atmospheric Research;2024-07

4. A harmonized global gridded transpiration product based on collocation analysis;Scientific Data;2024-06-07

5. CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data;Earth System Science Data;2024-04-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3