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TAR/AR4 statistical downscaling input

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To develop spatial downscaling, the use of daily 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

Table 1: List of available predictor variables from NCEP and GCM output (i.e. 25 potential candidate atmospheric variables, their origin and time window (i.e. current and future periods). The GES scenarios are given in parentheses (i.e. IPCC, 2001).
PREDICTORS (Atmospheric Variables) ORIGIN (i.e. NCEP or GCM) TIME WINDOW
  Mean Sea Level Pressure NCEP, CGCM1, CGCM2, HadCM3 1961-1990(baselineclimate)
  Surface Airflow Strength
  Surface Zonal Velocity
  Surface Meridional Velocity
  Surface Vorticity
  Surface Wind Direction
  Surface Divergence
  500hPa Airflow Strength
  500hPa Zonal Velocity
  500hPa Meridional Velocity CGCM1, (IS92a) 2000-2099
  500hPa Vorticity
  500hPa Geopotential
  500hPa Wind Direction
  500hPa Divergence
  850hPa Airflow Strength
  850hPa Zonal Velocity CGCM2, HadCM3 (SRES A2 & B2) 2000-2099
  850hPa Meridional Velocity
  850hPa Vorticity
  850hPa Geopotential
  850hPa Wind Direction
  850hPa Divergence
  Relative or Specific Humidity1 at 500hPa
  Relative or Specific Humidity1 at 850hPa
  Near Surface Relative or Specific Humidity1
  Mean Temperature at 2m

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