Australian National University Spline (ANUSPLIN) is an interpolation method used to create gridded observational datasets. This method uses a curve fitting technique, along with latitude, longitude and elevation to ensure that the gridded data is spatially continuous. ANUSPLIN is used to produce the NRCANmet dataset. See the About ANUSPLIN page for more information.

Citing this method: Citing ClimateData.ca

Bias Correction/ Constructed Analogues with Quantile mapping reordering, Version 2 (BCCAQv2) is a bias correction and statistical downscaling method for global climate model (GCM) data, developed at the Pacific Climate Impacts Consortium (PCIC). It is used for downscaling daily climate model projections of temperature and precipitation, i.e., it is used to transform coarse-resolution GCM information to more locally relevant spatial scales. It is a univariate method and so downscales one variable at a time. See About BCCAQv2 for more information regarding BCCAQv2.

Citing this method: Citing ClimateData.ca

N-Dimensional Multivariate Bias Correction (MBCn) is a statistical methodology for downscaling daily Global Climate Model (GCM) data, i.e., it is used to transform coarse-resolution GCM information to more locally relevant spatial scales. It is a multivariate method which downscales multiple variables at once. See About MBCn for more information regarding MBCn.

Citing this method: Citing ClimateData.ca