Spatial Climate Interpolation is a geostatistical method that belongs to the class of spatial prediction techniques and is specifically distinguished by its application to estimate climate variables across continuous geographical spaces using observed point measurements.
168
Publications
64.8K
Citations
519
Authors
255
Institutions
Publications per year
2017–2026
41
Parents
Publications
168
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
Ian Harris, Timothy J. Osborn, P. D. Jones et al. · Scientific Data · 2020 · 4.8K citations · Full text
1–5 of 168
Authors
519
- SM
5
h-index
- MN
4
h-index
- CD
4
h-index
- PD
4
h-index
- MF
4
h-index
1–5 of 519
Institutions
255
Chinese Academy of Sciences
Beijing, China
5 h-index
14 publications
501 citations
University of Delaware
Newark, United States
5 h-index
7 publications
1.8K citations
Centre National de la Recherche Scientifique
Paris, France
5 h-index
21 publications
1.1K citations
Oregon State University
Corvallis, United States
5 h-index
14 publications
20.1K citations
NOAA National Centers for Environmental Information
Asheville, United States
4 h-index
24 publications
5.3K citations
University of Oxford
Oxford, United Kingdom
4 h-index
7 publications
6.1K citations
Instituto Pirenaico de Ecología
Zaragoza, Spain
4 h-index
7 publications
300 citations
Australian National University
Canberra, Australia
4 h-index
7 publications
1.5K citations
1–8 of 255
Venues
- International Journal of Climatology
30 publications · 44.2K citations
26
h-index
- Climate Research
12 publications · 1.7K citations
12
h-index
- Theoretical and Applied Climatology
6 publications · 557 citations
6
h-index
- Agricultural and Forest Meteorology
5 publications · 1.5K citations
5
h-index
- Journal of Applied Meteorology
4 publications · 792 citations
4
h-index
1–5