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Name of Research Project
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GWF-IMPC: Integrated Modelling Program for Canada
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Dataset Title
Conditioned Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) from HydroSHEDS at 90m
Abstract
The conditioned SRTM Digital Elevation Model (DEM) were downloaded from HydroSHEDS website (
https://hydrosheds.cr.usgs.gov/index.php ). It has a 3'' resolution which corresponds to about 90 m at the equator.
The region of interest (Great Lakes) is cropped and data converted into formats ASCII and NetCDF. Data are then made available to the project collaborators on a private GitHub. Researchers interested in data can email Juliane Mai (University of Waterloo; juliane.mai@uwaterloo.ca)
Purpose
The Great Lakes Runoff Inter-comparison Project (GRIP) includes a wide range of lumped and distributed models that are used operationally and/or for research purposes across Canada and the United States. Participating models are Global Environmental Multi-scale (GEM- Hydro), Weather Research and Forecasting (WRF-Hydro), MEC-Surface & Hydrology (MESH), Variable Infiltration Capacity (VIC), WATFLOOD, HYdrological Predictions for the Environment (HYPE), Soil & Water Assessment Tool (SWAT) and Large Basin Runoff Model (LBRM) The project aims to run all these models over several regions in Canada with Great Lakes, focusing on Lake Erie and Lake St.Clair as the initial domain (GRIP-E). This project will also focus on identifying a standard, consistent dataset for model building that all participants in the inter-comparison project can access and then process to generate their model-specific required inputs.
This data set is collected for the project titled "Integrated Modelling Program for Canada (IMPC): Theme 1", which is a Pillar 3 project under the Global Water Futures Program funded by Canada First Research Excellence Fund.
Citations
Lehner, B., Verdin, K., & Jarvis, A. (2008). New global hydrography derived from spaceborne elevation data. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). (Unpublished Data).
Download Links and Instructions
Data available to project collaborators only on a private GitHub.
Researchers interested in data must contact Juliane Mai at University of Waterloo (juliane.mai@uwaterloo.ca)
File formats and online databases
Other Data Formats (if applicable)
ASCII