WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
Plant (United States) · University of California, Davis
Abstract
ABSTRACT We created a new dataset of spatially interpolated monthly climate data for global land areas at a very high spatial resolution (approximately 1 km 2 ). We included monthly temperature (minimum, maximum and average), precipitation, solar radiation, vapour pressure and wind speed, aggregated across a target temporal range of 1970–2000, using data from between 9000 and 60 000 weather stations. Weather station data were interpolated using thin‐plate splines with covariates including elevation, distance to the coast and three satellite‐derived covariates: maximum and minimum land surface temperature as well as cloud cover, obtained with the MODIS satellite platform. Interpolation was done for 23 regions…
Citation impact
- FWCI
- 414.41
- Percentile
- 100%
- References
- 34
Authors
2Topics & keywords
- Environmental science
- Satellite
- Cloud cover
- Precipitation
- Climatology
- Wind speed
- Multivariate interpolation
- Land cover
- Climate action