Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4917-2021
© Author(s) 2021. 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-25-4917-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Sep 2021
Research article |
| 07 Sep 2021
| 07 Sep 2021
A 10 km North American precipitation and land-surface reanalysis based on the GEM atmospheric model
Nicolas Gasset
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Milena Dimitrijevic
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Marco Carrera
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Bernard Bilodeau
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Ryan Muncaster
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Étienne Gaborit
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Guy Roy
Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada
Nedka Pentcheva
Meteorological Service of Canada, 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
Radenko Pavlovic
Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada
Franck Lespinas
Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada
Dikra Khedhaouiria
Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
Juliane Mai
Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, Canada
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26 citations as recorded by crossref.
- Physically based cold regions river flood prediction in data‐sparse regions: The Yukon River Basin flow forecasting system M. Elshamy et al. 10.1111/jfr3.12835
- Human influence on the 2021 British Columbia floods N. Gillett et al. 10.1016/j.wace.2022.100441
- Climatological features of future MCSs over the Canadian Prairies using convection-permitting climate models Y. Hwang et al. 10.1016/j.atmosres.2023.106922
- Spatiotemporal trends in temperature and precipitation for Prince Edward Island over 1971–2020 R. Nawaz et al. 10.1139/cjce-2023-0186
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- Modelling spatial and temporal variability of water temperature across six rivers in Western Canada R. Shrestha & J. Pesklevits 10.1002/rra.4072
- Challenges in Hydrologic‐Land Surface Modeling of Permafrost Signatures—A Canadian Perspective M. Abdelhamed et al. 10.1029/2022MS003013
- Reconstructed River Water Temperature Dataset for Western Canada 1980–2018 R. Shrestha & J. Pesklevits 10.3390/data8030048
- Forecasting High-Flow Discharges in a Flashy Catchment Using Multiple Precipitation Estimates as Predictors in Machine Learning Models A. Zanchetta et al. 10.3390/hydrology9120216
- An Upscaled Model of Fill‐And‐Spill Hydrological Response M. Taheri et al. 10.1029/2022WR033494
- On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration S. Wi & S. Steinschneider 10.5194/hess-28-479-2024
- Rising summer river water temperature across Canada: spatial patterns and hydroclimatic controls R. Shrestha et al. 10.1088/1748-9326/ad365f
- Ice Concentration Scaling Laws for Freshwater Lakes in Numerical Weather and Climate Prediction M. MacKay 10.1029/2023GL103713
- Long-term declines in atmospheric nitrogen and sulfur deposition reduce critical loads exceedances at multiple Canadian rural sites, 2000–2018 I. Cheng et al. 10.5194/acp-22-14631-2022
- Performance Evaluation of High-resolution Reanalysis Datasets Over North-central British Columbia U. Goswami et al. 10.1080/07055900.2024.2308878
- Canadian climate data portals: A comparative analysis from a user perspective J. Lavoie et al. 10.1016/j.cliser.2024.100471
- The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
- Navigating Great Lakes Hydroclimate Data L. Fry et al. 10.3389/frwa.2022.803869
- Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2020) V. Vionnet et al. 10.5194/essd-13-4603-2021
- Characteristics of the daytime and nighttime MCSs over the Canadian Prairies using an ERA5-forced convection-permitting climate model Y. Hwang & Y. Li 10.1016/j.atmosres.2022.106380
- A database of modeled gridded dry deposition velocities for 45 gaseous species and three particle size ranges across North America L. Zhang et al. 10.1016/j.jes.2022.05.030
- Process based calibration of a continental-scale hydrological model using soil moisture and streamflow data A. Bajracharya et al. 10.1016/j.ejrh.2023.101391
- The Impacts of Climate Change on Land Hydroclimatology of the Laurentian Great Lakes Basin N. Shrestha et al. 10.3389/frwa.2022.801134
- Objective evaluation of the Global Environmental Multiscale Model (GEM) with precipitation and temperature for Iran M. Mohammadlou et al. 10.1111/nrm.12343
- Representativeness of the Precipitation Observing Network for Monitoring Precipitation Change and Variability in Canada H. Wan et al. 10.1080/07055900.2022.2144111
- Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project M. Ahmed et al. 10.1016/j.jhydrol.2023.129820
Latest update: 24 Apr 2024
Short summary
In this paper, we highlight the importance of including land-data assimilation as well as offline precipitation analysis components in a regional reanalysis system. We also document the performance of the first multidecadal 10 km reanalysis performed with the GEM atmospheric model that can be used for seamless land-surface and hydrological modelling in North America. It is of particular interest for transboundary basins, as existing datasets often show discontinuities at the border.
In this paper, we highlight the importance of including land-data assimilation as well as...
