Flood prediction in the future: Recognizing hydrologic issues in anticipation of the Global Precipitation Measurement mission
Author:
Affiliation:
1. Department of Civil and Environmental Engineering; Tennessee Technological University; Cookeville Tennessee USA
2. Department of Civil and Environmental Engineering; University of Washington; Seattle Washington USA
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2006WR005202/fullpdf
Reference18 articles.
1. A survey of studies into errors in large scale space-time averages of rainfall, cloud cover, sea surface processes and the Earth's radiation budget as derived from low orbit satellite instruments because of their incomplete temporal and spatial coverage;Astin;Surv. Geophys.,1997
2. Probabilistic and ensemble representations of the uncertainty in IR/Microwave precipitation product;Bellerby;J. Hydrometeorol.,2005
3. The future of distributed models: Model calibration and uncertainty prediction;Beven;Hydrol. Processes,1992
4. The emergence of global-scale hydrology;Eagleson;Water Resour. Res.,1986
5. Rain estimation from geosynchronous satellite imagery-visible and infrared studies;Griffith;Mon. Weather Rev.,1978
Cited by 56 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. Characterizing the uncertainty of CMORPH products for estimating orographic precipitation over Northern California;Journal of Hydrology;2024-11
2. Spatiotemporal Evaluation of the Flood Potential Index and Its Driving Factors across the Volga River Basin Based on Combined Satellite Gravity Observations;Remote Sensing;2023-08-24
3. Extreme Precipitation Susceptibility Map over the Main Mining Areas of China Based on Satellite Precipitation Products;2022 29th International Conference on Geoinformatics;2022-08-15
4. Technology for Position Correction of Satellite Precipitation and Contributions to Error Reduction—A Case of the ‘720’ Rainstorm in Henan, China;Sensors;2022-07-26
5. A study on availability of ground observations and its impacts on bias correction of satellite precipitation products and hydrologic simulation efficiency;Journal of Hydrology;2022-07
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