/weather_study

Statistical study of historical weather prediction data.

Primary LanguagePython

Weather Study

Examination of bulk weather predictions and their accuracy. (In progress.)

Main idea: Forecasters predict the weather many days in advance for any given location. How do those predictions change as the target date approaches?

Tools used: Python3, SQLite3, weather APIs, Numpy, MatPlotLib, D3, netCDF4.

To install:

  1. Runs in Python3. Clone from GitHub and enter the newly created directory:

    git clone git@github.com:WeatherStudy/weather_study.git
cd weather_study

or

    git clone https://github.com/WeatherStudy/weather_study.git
    cd weather_study

Further installation steps:

See these files in the installation_instructions directory:

  1. install_1_dependencies.md
  2. install_2_database.md
  3. install_3_netCDF4.md
  4. install_4_ matplotlib_basemap.md
  5. install_5_analyze_data.md

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