Articles | Volume 30, issue 18
https://doi.org/10.5194/hess-30-5971-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-5971-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Sep 2026
Research article |
| 24 Sep 2026
| 24 Sep 2026
The Canadian Surface Reanalysis (CaSR) v3.2 precipitation dataset: a 45-year high-resolution analysis for North America (1980–2024)
Dikraa Khedhaouiria
CORRESPONDING AUTHOR
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Nicolas Gasset
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Vincent Fortin
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Milena Dimitrijevic
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Maxim Bulat
Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada
Xihong Wang
Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada
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Short summary
This study presents a new high-resolution precipitation dataset covering North America over the past 45 years. Unlike most reanalysis products that rely mainly on weather models, it directly incorporates ground-based weather station observations. This results in more reliable precipitation estimates than the previous version and commonly used reanalyses, especially in regions with few measurements, supporting studies of water resources, floods, droughts, and climate impacts.
This study presents a new high-resolution precipitation dataset covering North America over the...
