Miranda

Python utilities for climate data collection, conversion, and management

• Documentation:
• Free Software:

Features

Data collection functions for climate and forecast data hosted at:

• ECMWF (ERA5, ERA5-Land, TIGGE)
• ECCC (Canada) (Monthly Climate Summaries, ECCC GEOAPI - In development)
• NCAR (CORDEX-NA on AWS)

Data conversion for Climate and Forecasting (CF) Variable and Metadata compliance:

• ECMWF (ERA5, ERA5-Land, TIGGE - In Development)
• ECCC (Canada) (Flat File Observations, Monthly Climate Summaries, Adjusted and Homogenized Climate Data, ECCC GEOAPI - In Development)
• MELCC (Québec)
• Hydro-Québec (In Development)

Database structuring and facets validation:

• Simulations:

  • WCRP (CMIP5, CMIP6, CMIP5-CORDEX, CORDEX-ADJUST, ISIMIP, etc.)

• Station-Observations:

  • MELCC (Québec) (Needs mdbtools installed)
  • ECCC (Canada) (In Development)
  • Hydro-Québec (In Development)

• Gridded-Observations:

  • NRCAN (Canada) (Future)
  • MELCC (Future)

• Reanalyses:

  • ECMWF (ERA5, ERA5-Land, TIGGE)
  • NASA (DayMET, AgMerra/AgCFSR, MERRA2) - In Development
  • NCEP (CFSR/CFSv2) - In Development
  • WFDEI-GEM-CaPa (University of Saskatchewan) - In Development

Installation

miranda can be installed from PyPI:

$ pip install miranda

Some functionalities require complex-to-install dependencies. In order to gain access to them, we strongly suggest using Anaconda to manage your environment:

$ conda env create -f environment.yml
$ conda activate miranda
$ pip install miranda[full]

For more information about Anaconda/Miniconda/conda-forge:

• Miniconda:
• conda-forge:

miranda also relies on PyESSV for its climate data controlled vocabulary. This library is optional for users who do not require validation checks, but enabling this feature requires additional installation steps:

$ mkdir -p ~/.esdoc
$ git clone git@github.com:ES-DOC/pyessv-archive.git ~/.esdoc/pyessv-archive

Contributing

See the contributing documentation: