CMIP5 statistical downscaling input
Coupled Model Intercomparison Project Phase 6 (CMIP6) predictors documentation is available here
To develop spatial downscaling, the use of 'predictors' is needed. The 'predictor variables' provide daily information concerning the large-scale state of the atmosphere, while the 'predictand' describes conditions at the site scale (i.e. temperature or precipitation observed at a station).
Large-scale predictor variable information has been prepared for a large North American window. Near-observed data have been derived from the NCEP Reanalysis data set (Kalnay et al., 1996) (for use during the calibration and the validation procedure of the downscaling model), while GCM data for the baseline and climate scenario periods are from the various GCMs experiments. For further information about predictors, their physical links with predictands, including choice/selection and new development, see note on predictors.
SDSM and ASD predictors
Predictors (atmospheric variables) | Origin (i.e. NCEP or GCM) | Time window |
---|---|---|
Mean Sea Level Pressure 1000hPa Wind Speed 1000hPa Zonal Velocity 1000hPa Meridional Velocity 1000hPa Vorticity 1000hPa Wind Direction 1000hPa Divergence |
CanESM2 | 1961-1990 (baseline climate) 2000-2099 |
500hPa Wind Speed 500hPa Zonal Velocity 500hPa Meridional Velocity 500hPa Vorticity 500hPa Geopotential 500hPa Wind Direction 500hPa Divergence |
CanESM2 | 1961-1990 (baseline climate) 2000-2099 |
850hPa Wind Speed 850hPa Zonal Velocity 850hPa Meridional Velocity 850hPa Vorticity 850hPa Geopotential 850hPa Wind Direction 850hPa Divergence |
CanESM2 | 1961-1990 (baseline climate) 2000-2099 |
Specific Humidity at 500hPa Specific Humidity at 850hPa Specific Near Surface Humidity Mean Temperature at 2m Total Precipitation |
CanESM2 | 1961-1990 (baseline climate) 2000-2099 |