A full description of the data and the methods was published in March, 2010. Here is the complete article: Globally downscaled climate projections for assessing the conservation impacts of climate change
These datasets are global, downscaled 20th and 21st century climate simulations from the CMIP3 multi-model archive.
We debias the 21st-century simulations with respect to their mean differences from 20th-century observations. These differences or "anomalies" are downscaled to 10 minute resolution with a spline interpolation and then added to 10 minute, mean 20th century climatologies of CRU CL2.0.
The dataset ranges from -180 to 180 longitude and -90 to 90 latitude. Projection is a generic Geographic with datum WGS84.
Twelve months of ArcASCII files are bundled in each zip file.
Each ASCII file has a naming convention associated to the dataset properties. Naming convention is as follows: vyyYYmmss(s)MMM, where
v is either p for precipitation or t for temperature.
yyYY is the two digit year at the start of the mean climate period followed by the two digit year at the end of the mean climate period.
Valid periods are 6190 for 20th century mean from 1961-1990, 4160 for projected mean 2041-2060 and 8100 for projected mean 2081-2100
mm is the two digit month
ss(s) is the two or three character scenario code ie 20c, a1b, b1 or a2
MMM is the three character model code.
The following table has model names and associated codes. For more information about model acronyms and detailed model descriptions go to the IPCC Data Distribution Center.
|LASG IAP fgoals_1g||f1g|
|MIUB CONS ECHO G||ecg|
|NIES miroc3_2 hires||32h|
|NIES miroc3_2 medres||32m|
An example filename is p619001a1bcm1.asc. This file is mean January precipitation for period 1961-1990, scenario a1b and model bcc_cm1.
temp = average monthly temperature (°C * 10)
prec = average monthly precipitation (mm)
Tabor, K. and J.W. Williams (2010). Globally downscaled climate projections for assessing the conservation impacts of climate change. Ecological Applications 20(2):554-565.
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 of this dataset is provided by the Office of Science, U.S. Department of Energy.