Merged CaPA and MPE
The "Merged" dataset is created using both the Canadian Precipitation Analysis (CaPA) and the Multi-sensor Precipitation Estimate (MPE) datasets. Point features from both input datasets are appended into a single point feature class. An inverse distance weighted interpolation with a power setting of 0.5 and 10-point variable search radius is then used to create a new raster dataset with an 8-kilometer cellsize.
Canadian Precipitation Analysis (CaPA)
The Regional Deterministic Precipitation Analysis (RDPA) configuration of the Canadian Precipitation Analysis (CaPA) is a real-time gridded precipitation product provided by Environment and Climate Change Canada (ECCC). The grid has a resolution of approximately 10 km and the domain covers all of North America (Canada, USA and Mexico). It uses gauge data, radar reflectivity and GOES imagery to modify a trial field provided by the GEM numerical weather prediction model using a statistical interpolation technique.
Multi-sensor Precipitation Estimate (MPE)
Hydro-meteorologists at the National Weather Service's (NWS's) 13 River Forecast Centers (RFCs) utilize the Multi-sensor Precipitation Estimator (MPE) to produce rainfall estimates that cover the 48 contiguous United States as well as portions of Canada and Mexico. Data from many sources are manually analyzed at the RFCs to produce the day's best precipitation estimate on a 4 km grid on a 1 hour time step.