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

J Baik; J Park; D Ryu; M Choi

Journal article

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

J Baik, J Park, D Ryu, M Choi

Hydrological Processes | Wiley: 12 months | Published : 2016

DOI: 10.1002/hyp.10786

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Abstract

Estimating accurate spatial distribution of precipitation is important for understanding the hydrologic cycle and various hydro‐environmental applications. Satellite‐based precipitation data have been widely used to measure the spatial distribution of precipitation over large extents, but an improvement in accuracy is still needed. In this study, three different merging techniques (Conditional Merging, Geographical Differential Analysis and Geographical Ratio Analysis) were used to merge precipitation estimations from Communication, Ocean and Meteorological Satellite (COMS) Rainfall Intensity data and ground‐based measurements. Merged products were evaluated with varying rain‐gauge network d..

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University of Melbourne Researchers

Dongryeol Ryu Author

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Funding Acknowledgements

The authors would like to express special thanks to the National Meteorological Satellite Center (NMSC; http://nmsc.kma.go.kr/) and Water Resources Management Information System (WAMIS; www.wamis.go.kr/) for providing Communication, Ocean and Meteorological Satellite (COMS) products and ground-based observation, respectively. This research was supported by Sungkyun Research Fund, Sungkyunkwan University, 2015.