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MESH - A Community Hydrology - Land Surface Model

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This page contains Python related resources.

Resources

  • Creating driving data for MESH from Datamart grib2 files using Python — This page describes how to create driving data inputs for MESH using data acquired from the Environment and Climate Change Canada Datamart https://weather.gc.ca/grib/index_e.html service in Python.
  • Creating driving data for MESH from GeoMet using Python — This page describes how to create driving data inputs for MESH using data acquired from the Web Coverage Service (WCS) of the Environment and Climate Change Canada GeoMet https://www.canada.ca/en/environment-climate-change/services/weather-general-tools-resources/weather-tools-specialized-data/msc-geomet-api-geospatial-web-services.html data service in Python.
  • Installing Anaconda on Windows 10 — This page describes how to install and setup anaconda for windows 10. For more detailed installation or troubleshooting instructions, refer to the following webpage https://docs.anaconda.com/anaconda/user-guide/troubleshooting/.

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