Data and products of the Canadian Land Data Assimilation System in the National Surface and River Prediction System (CaLDAS-NSRPS)
CaLDAS-NSRPS was installed as an experimental system within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC.
Access
How to access the data
This experimental data is available on the MSC testing data repository DD-Alpha:
An overview and examples to access and use the Meteorological Service of Canada's open data is available.
Licence
The end-user licence for Environment and Climate Change Canada's data servers specifies the conditions of use of this data.
MSC Open Data Service Usage Policy
The MSC Open Data Service Usage Policy determines what constitutes an acceptable use of MSC Open Data services and provides users best practices for optimal use.
Metadata
Technical documentation
- Current version of the Canadian Land Data Assimilation System in the National Surface and River Prediction System (CaLDAS-NSRPS)
- Technical note
- Diagram of dependencies
Changelog
The chronology of changes to the Canadian Land Data Assimilation System in the National Surface and River Prediction System (CaLDAS-NSRPS) is available here.