High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100
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Section 1: Overview
Name of Research Project
Related Project
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Part
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CORE: Core Modelling and Forcasting
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Program Affiliations
Related Research Project(s)
GWF-CORE: Core Modelling and Forecasting | |
Dataset Title
High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100
Additional Information
Creators and Contributors
Howard Wheater | PI | | University of Saskatchewan |
Zilefac Elvis Asong | Originator | | University of Saskatchewan |
Alex Cannon | Collaborator | | Environment and Climate Change Canada |
Mohamed Elshamy | Collaborator | | University of Saskatchewan |
Alain Pietroniro | Collaborator | | University of Saskatchewan |
John Pomeroy | Collaborator | | University of Saskatchewan |
Daniel Princz | Collaborator | | University of Saskatchewan |
Abstract
The high-resolution forecasts of the Global Environmental Multiscale (GEM) atmospheric model and outputs of the Canadian Precipitation Analysis (CaPA) have a short historical record. The EU WATCH ERA-Interim reanalysis (WFDEI) has a longer historical record, but has often been found to be biased relative to observations over Canada. The strengths of both datasets (GEM-CaPA and WFDEI) were blended to produce a less-biased long record product (WFDEI-GEM-CaPA) for hydrological modelling and climate change impacts assessment over the a domain covering most of North America. This product is then used to bias-correct climate projections from the Canadian Centre for Climate Modelling and Analysis Canadian Regional Climate Model (CanRCM4) from 1951 to 2100 under Representative Concentration Pathway RCP8.5, and an analysis of the datasets shows the biases in the original WFDEI product have been removed and the climate change signals in CanRCM4 are preserved. The resulting bias-corrected data (CanRCM4-WFDEI-GEM-CaPA 3h*0.125 deg resolution) are a consistent set of historical and climate projection data suitable for large-scale modelling and future climate scenario analysis. More details on the methods used in developing this product are in
https://doi.org/10.5194/essd-2019-103. These data are in NetCDF format and can be downloaded via the Cuizinart Platform (
http://cuizinart.io) by selecting dataset labelled canrcm4-wfdei-gem-capa.
Purpose
This dataset provides an improved set of forcing data for large scale hydrological models for climate change impacts assessment over most of North America. This data set will be used to support the objectives under the Global Water Futures Program funded by Canada First Research Excellence Fund.
Plain Language Summary
Created WFDEI-GEM-CaPA, a less Canada-biased blend of:
- forecasts of the Global Environmental Multiscale (GEM) atmospheric model,
- outputs of the Canadian Precipitation Analysis (CaPA), and
- the EU WATCH ERA-Interim reanalysis (WFDEI).
for (most of) North America.
WFDEI-GEM-CaPA used for
- hydrological modelling and climate change impacts assessment, and further,
- to bias-correct climate projections from climate projections from the CanRCM4 model (1951 to 2100) under RCP8.5.
The resulting high-resolution, bias-corrected meteorological forcing data called CanRCM4-WFDEI-GEM-CaPA:
- removed biases from WFDEI, and
- preserved the climate change signals in CanRCM4.
Keywords
Air temperature |
Humidity |
Precipitation |
Radiation |
Wind speed |
North America |
Citations
Asong, Z. , Wheater, H. , Pomeroy, J. , Pietroniro, A. , Elshamy, M. , Princz, D. , Cannon, A. (2022) High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100. Federated Research Data Repository.
https://doi.org/10.20383/103.0622Asong, Z. E., Wheater, H., Pomeroy, J., Pietroniro, A., Elshamy, M., Princz, D., & Cannon, A. (2019). High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN).
https://doi.org/10.5194/essd-2019-103
Section 2: Research Site
Temporal Extent
Begin Date
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End Date
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1951-01-01
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2100-12-29
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Geographic Bounding Box
West Boundary Longitude
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-150
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East Boundary Longitude
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-50
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North Boundary Latitude
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72
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South Boundary Latitude
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31
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Is Boundary Rectangular
Research Site Images
Research Site Description (if needed)
Canada and most of Conterminous US
Basin
Subbasin
Specific Locations (if needed)
Research Site Location
Map Not Available
Display
View on Global Map
Section 3: Status and Provenance
Dataset Version
Dataset Creation Date
Status of data collection/production
Dataset Completion or Abandonment Date
2022-08-23
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
Total Size of all Dataset Files (GB)
23.45 TB
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables