Multi-sensor Precipitation Merging
Multi-Sensor Precipitation Merging is a precipitation estimation methodology that integrates data from multiple observational sources, such as ground-based radars, satellite sensors, and in-situ measurements, to produce a unified, spatially and temporally consistent rainfall product with improved accuracy and coverage compared to single-sensor approaches.
29
Publications
2.2K
Citations
138
Authors
68
Institutions
Publications per year
2017–2026
19
Parents
29
S. S. Jiang, Liliang Ren, Yang Hong et al. · Journal of Hydrology · 2012 · 302 citations
Yingzhao Ma, Yang Hong, Yang Chen et al. · Journal of Geophysical Research Atmospheres · 2017 · 169 citations · Full text
1–5 of 29
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University of Electronic Science and Technology of China, China
2 publications · 288 citations
2
h-index
1–5 of 138
68
Goddard Space Flight Center
Greenbelt, United States
4 h-index
6 publications
521 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
3 h-index
8 publications
2.1K citations

Hohai University
Nanjing, China
3 h-index
14 publications
2.1K citations

Nanjing University of Information Science and Technology
Nanjing, China
3 h-index
6 publications
712 citations
China Institute of Water Resources and Hydropower Research
Beijing, China
3 h-index
3 publications
239 citations
University of Arizona
Tucson, United States
3 h-index
5 publications
394 citations
Earth System Science Interdisciplinary Center
College Park, United States
3 h-index
6 publications
937 citations
University of Maryland, College Park
College Park, United States
3 h-index
6 publications
937 citations
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7 publications · 786 citations
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2 publications · 249 citations
2
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2 publications · 69 citations
2
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JGR · 2 publications · 273 citations
2
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2 publications · 114 citations
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