Climate Data Fusion
Climate Data Fusion is a systematic computational approach that integrates heterogeneous observational, model-generated, and remote sensing climate data streams into a unified, spatially and temporally coherent representation to enhance the accuracy, resolution, and completeness of climate information beyond the capabilities of individual data sources.
20
Publications
926
Citations
120
Authors
68
Institutions
Publications per year
2017–2026
15
Parents
20
Youngwook Kim, John S. Kimball, Kamel Didan et al. · Agricultural and Forest Meteorology · 2014 · 76 citations
Yuan Wang, Qiangqiang Yuan, Tongwen Li et al. · Earth system science data · 2023 · 50 citations · Full text
Natural Sciences, Earth Sciences, Environmental Sciences +17
1–5 of 20
120
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 120
68
Wuhan University
Wuhan, China
2 h-index
7 publications
248 citations

University of Montana
Missoula, United States
2 h-index
6 publications
1.1K citations
Universitat de València
Valencia, Spain
1 h-index
1 publications
236 citations

Wuhan Institute of Technology
Wuhan, China
1 h-index
1 publications
25 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
1 h-index
1 publications
50 citations

Université d'Orléans
Orléans, France
1 h-index
1 publications
36 citations
Florida International University
Miami, United States
1 h-index
1 publications
236 citations
University of Bremen
Bremen, Germany
1 h-index
2 publications
42 citations
1–8 of 68
3 publications · 130 citations
3
h-index
1 publications · 25 citations
1
h-index
1 publications · 236 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 32 citations
1
h-index
1–5