Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite-based and ground-based data-Reference-Cited by-同舟云学术

Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite-based and ground-based data

Published:2016-03-17 Issue:16 Volume:30 Page:2789-2803
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Jongjin Baik¹,Jongmin Park²,Dongryeol Ryu³,Minha Choi²

Affiliation:

1. School of Civil, Architectural and Environmental System Engineering; Sungkyunkwan University; Suwon 440-746 Korea

2. Water Resources and Remote Sensing Laboratory, Department of Water Resources, Graduate School of Water Resources; Sungkyunkwan University; Suwon 440-746 Korea

3. Department of Infrastructure Engineering; The University of Melbourne; Parkville Vic. 3010 Australia

Funder

Space Core Technology Development Program

Ministry of Science, ICT and Future Planning

Publisher

Wiley

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/hyp.10786/fullpdf

Reference93 articles.

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2. Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models;Andréassian;Journal of Hydrology,2001

3. Climatologically tuned reflectivity-rain rate relations and links to area-time integrals;Atlas;Journal of Applied Meteorology,1990

4. Long-term trend of precipitation and runoff in Korean river basins;Bae;Hydrological Processes,2008

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