File Names

Twelve months of variables are tarred and gzipped into a single file for download. The tar.gz file is 100mb in size. Once unzipped each monthly ArcASCII file is 160mb each. The ArcASCII file has a naming convention associated to the dataset properties. Naming convention is as follows: We acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support this dataset is provided by the Office of Science, U.S. Department of Energy.

S_M_5km_yyyy-YYYY_debiasedmean_v_m.asc, where

An example filename is sresa1b_bccr_bcm2_0_5km_2041-2060_debiasedmean_pr_apr.asc. This file is mean April precipitation for period 2041-2060, scenario a1b and model bccr_bcm2_0, Bjerknes Centre for Climate Research, Norway, BCM2.0 Model.

A table for all the models and shortened names is below:

bccr_bcm2_0Bjerknes Centre for Climate Research, Norway, BCM2.0 Model
cccma_cgcm3_1 Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model, T47 resolution
cccma_cgcm3_1_t63 Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model, T63 resolution
miroc3_2_hires CCSR/NIES/FRCGC, Japan, MIROC3.2, high resolution
miroc3_2_medres CCSR/NIES/FRCGC, Japan, MIROC3.2, medium resolution
csiro_mk3_0 CSIRO Atmospheric Research, Australia, Mk3.0 Model
csiro_mk3_5 CSIRO Atmospheric Research, Australia, Mk3.5 Model
ukmo_hadcm3 Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model
ukmo_hadgem1 Hadley Centre for Climate Prediction, Met Office, UK, HadGEM1 Model
ingv_echam4 INGV, National Institute of Geophysics and Volcanology, Italy, ECHAM 4.6 Model
inmcm3_0 Institute for Numerical Mathematics, Russia, INMCM3.0 Model
ipsl_cm4 IPSL/LMD/LSCE, France, CM4 V1 Model
iap_fgoals1_0_g LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model
mpi_echam5 Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM
cnrm_cm3 Meteo-France, Centre National de Recherches Meteorologiques, CM3 Model
miub_echo_g Meteorological Institute of the University of Bonn, ECHO-G Model
mri_cgcm2_3_2a Meteorological Research Institute, Japan, CGCM2.3.2a
giss_aom NASA Goddard Institute for Space Studies, C4x3
giss_model_e_h NASA Goddard Institute for Space Studies, ModelE20/HYCOM
giss_model_e_r NASA Goddard Institute for Space Studies, ModelE20/Russell
ncar_ccsm3_0 National Center for Atmospheric Research, CCSM3.0
ncar_pcm1 National Center for Atmospheric Research, PCM1
gfdl_cm2_0 NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model
gfdl_cm2_1NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model


The 2.5-minute dataset is -180 to 180 longitude and -60 to 90 latitude. Both datasets are unprojected Geographic with units decimal degrees.
Cellsize: 0.041666669 DD
Number of rows: 3600
Number of Columns: 8640


temperature = average monthly temperature (Degrees Celsius * 10)
maximum temperature = average maximum monthly temperature (Degrees Celsius * 10)
minimum temperature = average minimum monthly temperature (Degrees Celsius * 10)
precipitation = average monthly precipitation (mm)

Data Citation

Downscaled Future Climate Scenarios 2.5-minute resolution, 2009. This is a product of Conservation International based on techniques developed in collaboration with the Department of Geography, Center of Climatic Research, and Land Tenure Center at the University of Wisconsin. Additional support provided by the National Center of Ecological Analysis and Synthesis. (accessed date)

Notes to User:

This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use is not allowed without prior permission.

9-22-2009 There is a hole in the temperature data over the Caspian sea. This is inherited from missing data in the Worldclim data.


Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G., Jarvis, A., 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25,1965-1978.

IPCC, 2007: Climate Change 2007: Synthesis report. Contribution of working groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R.K., Reisinger, A. (Eds.)]. IPCC, Geneva, Switzerland, 104 pp.

Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J.F.B., Stouffer, R.J., Taylor, K.E., 2007. The WCRP CMIP3 multi-model dataset: A new era in climate change research. Bulletin of the American Meteorological Society 88, 1383-1394.

Tabor, K. and J. W. Williams, 2010. Globally downscaled climate projections for assessing the conservation impacts of climate change. Ecological Applications 20, 554-565.

Wilby, R.L, Charles, S.P., Zorita, E., Timbal, B., Whetton, P., Mearns, L.O., 2004. Guidelines for use of climate scenarios developed from statistical downscaling methods. IPCC Task Group on data and scenario support for Impact and Climate Analysis (TGICA). (accessed 09.29.09).