A merging scheme for constructing daily precipitation analyses based on objective bias‐correction and error estimation techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A merging scheme for constructing daily precipitation analyses based on objective bias‐correction and error estimation techniques

Published:2015-09-05 Issue:17 Volume:120 Page:8671-8692
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Nie Suping¹,Luo Yong²,Wu Tongwen¹,Shi Xueli¹,Wang Zaizhi¹

Affiliation:

1. National Climate CenterChina Meteorological Administration Beijing China

2. Center for Earth System ScienceTsinghua University Beijing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2015JD023347

Reference45 articles.

1. Copula-based uncertainty modelling: application to multisensor precipitation estimates

2. Evaluation of satellite-retrieved extreme precipitation rates across the central United States

3. Systematic and random error components in satellite precipitation data sets

4. Influence of Daily Rainfall Characteristics on Regional Summertime Precipitation over the Southwestern United States

5. The hydrological cycle in the ECMWF short range forecasts

Cited by 30 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. Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France;Hydrology and Earth System Sciences;2024-06-18

2. Integrating satellite and reanalysis precipitation products for SWAT hydrological simulation in the Jing River Basin, China;Environmental Science and Pollution Research;2024-02-20

3. Statistical Evaluation of the Performance of Gridded Daily Precipitation Products from Reanalysis Data, Satellite Estimates, and Merged Analyses over Global Land;Remote Sensing;2023-09-19

4. A Simple Method of Coupled Merging and Downscaling for Multi-Source Daily Precipitation Data;Remote Sensing;2023-09-06

5. Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran;Expert Systems with Applications;2023-07

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