Met1km
From variable 3.3
Summary of observation-based historical datasets with 2-m temperature available
- description of data Zhang et al. (2020)
- source
- NRCan
- data type
- Blend of gridded products
- spatial domain
- Canada
- spatial resolution
- 1 km x 1 km
- temporal coverage
- 1901–2017
- time step
- Daily
- data format
- None
- comments
- It is a blend of several gridded products (CRU JRA, GMFD, ANUSPLIN, and PNWAMET). The data is constructed by adding interpolated anomalies (with respect to long-term climatology) from the coarse resolution gridded daily datasets overtop the high-resolution monthly 1 km climatology from WorldClim2. There can be issues with discontinuities at month boundaries using this approach unless the monthly climatology is properly smoothed to day-of-year climatology. Another concern is related to the temporal non-stationarity due to the stitching together of different gridded daily datasets in different parts of the period, and also potential loss of coherence between variables stemming from drawing different variables from different datasets.