WorldClim is a set of global climate layers (climate grids) with a spatial resolution of about 1 square kilometer. The data can be used for mapping and spatial modeling in a GIS or with other computer programs.
Here, we want to visualize the WorldClim data to give research a direct reference.
Information about the methods used to generate the climate layers, and the units and formats of the data. You can find more info in the preferred citation: > 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.
Data prepare
Data download
Data for current conditions (~1950-2000) was downloaded from http://worldclim.org/current. WorldClim has four types of spatial resoluation data for download. Here, we visualized the 2.5 arc-minutes resolution.
Four spatial resulations:
30 arc-seconds (~1 km)
2.5 arc-minutes
5 arc-minutes
10 arc-minutes
Available variables:
Min. Temperature: average monthly minimum temperature (°C * 10)
Max. Temperature: average monthly maximum temperature (°C * 10)
Mean Temperature: average monthly mean temperature (°C * 10)
Precipitation: average monthly precipitation (mm)
Bioclim: bioclimatic variables derived from the tmean, tmin, tmax and prec
BIO1 = Annual Mean Temperature
BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp))
BIO3 = Isothermality (BIO2/BIO7) (* 100)
BIO4 = Temperature Seasonality (standard deviation *100)
BIO5 = Max Temperature of Warmest Month
BIO6 = Min Temperature of Coldest Month
BIO7 = Temperature Annual Range (BIO5-BIO6)
BIO8 = Mean Temperature of Wettest Quarter
BIO9 = Mean Temperature of Driest Quarter
BIO10 = Mean Temperature of Warmest Quarter
BIO11 = Mean Temperature of Coldest Quarter
BIO12 = Annual Precipitation
BIO13 = Precipitation of Wettest Month
BIO14 = Precipitation of Driest Month
BIO15 = Precipitation Seasonality (Coefficient of Variation)