A spatiotemporal framework to calibrate high‐resolution global monthly precipitation products: An application to the Urmia Lake Watershed in Iran
Author:
Affiliation:
1. School of Civil Engineering, College of Engineering University of Tehran Tehran Iran
2. Faculty of Civil Engineering and Geosciences, Department of Water Management Delft University of Technology Delft The Netherlands
Funder
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Publisher
Wiley
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7358
Reference86 articles.
1. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015
2. Evaluation of satellite rainfall climatology using CMORPH, PERSIANN-CDR, PERSIANN, TRMM, MSWEP over Iran
3. Evaluation of remotely sensed precipitation estimates using PERSIANN‐CDR and MSWEP for spatio‐temporal drought assessment over Iran;Alijanian M.;Journal of Hydrology,2019
4. PERSIANN‐CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies;Ashouri H.;Bulletin of the American Meteorological Society,2015
Cited by 13 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. Assessing a machine learning-based downscaling framework for obtaining 1km daily precipitation from GPM data;Heliyon;2024-09
2. Intercomparison of gridded global precipitation data for arid and mountainous regions: A case study of Afghanistan;Journal of Hydrology: Regional Studies;2024-06
3. Integrating satellite and reanalysis precipitation products for SWAT hydrological simulation in the Jing River Basin, China;Environmental Science and Pollution Research;2024-02-20
4. Investigating the Role of Bias Correction Methods and Climate Models on Water Budget of Büyük Menderes Basin;Sakarya University Journal of Science;2023-10-18
5. Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms;Stochastic Environmental Research and Risk Assessment;2023-07-21
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