Climate Observations Analytics
Climate Observations Analytics is an academic research contribution that operationalizes the systematic examination and interpretation of empirical climate data through computational, statistical, or machine learning methods to derive spatiotemporal patterns, validate models, or inform climate inference, thereby distinguishing it from theoretical or simulation-based approaches within climate informatics.
6
Publications
409
Citations
24
Authors
8
Institutions
Publications per year
2017–2026
3
Parents
6
How machine learning could help to improve climate forecasts
Nicola Jones · Nature · 2017 · 111 citations · Full text
Applying big data beyond small problems in climate research
Benedikt Knüsel, Marius Zumwald, Christoph Baumberger et al. · Nature Climate Change · 2019 · 83 citations · Full text
How AI is improving climate forecasts
Carissa Wong · Nature · 2024 · 27 citations · Full text
1–5 of 6
24
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 24
8
George Mason University
Fairfax, United States
2 h-index
2 publications
141 citations
Federal Office of Meteorology and Climatology MeteoSwiss
Zurich, Switzerland
1 h-index
1 publications
83 citations
George Washington University
Washington, United States
1 h-index
2 publications
94 citations
Goddard Space Flight Center
Greenbelt, United States
1 h-index
7 publications
819 citations

Goddard Institute for Space Studies
New York, United States
1 h-index
1 publications
47 citations
ETH Zurich
Zurich, Switzerland
1 h-index
7 publications
581 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
24 citations
University of South Carolina
Columbia, United States
1 h-index
2 publications
48 citations
1–8 of 8
2 publications · 141 citations
2
h-index
2 publications · 138 citations
2
h-index
1 publications · 83 citations
1
h-index
1 publications · 47 citations
1
h-index
1 publications · 17 citations
1–5