WorldClim: Temperature - driest quarter mean

Field Value
ID 799
Description Mean Temperature of Driest Quarter
Name WorldClim: Temperature - driest quarter mean
Short name worldclim_bio_9
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 -521 to 366 (degrees C * 10)
Extents Longitude: -180.0 to 180.0
Latitude: -60.0 to 90.0
Classification Climate => Temperature
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 precipitation, rain, bio09
Source http://www.worldclim.org/
More information https://gist.github.com/tucotuco/1152668
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