WorldClim: Precipitation - annual
| Field | Value |
|---|---|
| ID | 788 |
| Description | Annual Precipitation |
| Name | WorldClim: Precipitation - annual |
| Short name | worldclim_bio_12 |
| Domain | Terrestrial |
| Date added | 2011-06-24 00:00:00.0 |
| Metadata contact | WorldClim |
| Organisation role | custodian |
| Metadata date | 2010-07 |
| Reference date | |
| Licence level | 1 |
| Licence notes | http://www.worldclim.org/current |
| Licence notes | This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission. |
| Type | Environmental (gridded) 0.01 degree (~1km) |
| Environmental range | 0 to 11401 (mm) |
| Extents | Longitude: -180.0 to 180.0 Latitude: -60.0 to 90.0 |
| Classification | Climate => Precipitation |
| Data language | eng |
| Notes | (From http://www.worldclim.org/methods) - For a complete description, see: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables. The WorldClim interpolated climate layers were made using: * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others. * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km) * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables. |
| Keywords | rain, bio12 |
| Source | http://www.worldclim.org/ |
| More information |
https://gist.github.com/tucotuco/1152668 |
| View in spatial portal | Click to view this layer |