https://github.com/stratismarkou/climate_modelling

https://github.com/stratismarkou/climate_modelling

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/stratismarkou/climate_modelling
• Owner: stratisMarkou
• Created: 2017-10-08T21:32:54.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-10-08T22:06:50.000Z (over 8 years ago)
• Last Synced: 2025-02-01T14:11:09.497Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 16.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# climate_modelling

- GUI folder contains linear regression model. To run:

  

  1. Install dependencies (tensorflow and wxPython)

  

     wxPython can be obtained from https://www.wxpython.org/pages/downloads/

     ```

     pip install -U wxPython

     ```

     should do the trick.

       

  2. Get data in .nc files

  3. Run gui.py

  4. Select data: click on '...', browse to the selected .nc file and then select the appropriate variable name, which is 'T2' for observational data and 'tas' for model data.

- gp folder contains gaussian process models. To run:

  1. Install GPy

  

     ```

     pip install GPy

     ```

     

     Documentation for GPy: https://pythonhosted.org/GPy/

     

  2. Run! gp_positional_temporal.py models the temperature at various locations, and gp_temporal.py models the temperature at      a single location.

  

- basemap_example folder contains a single example of using Basemap to combine country borders with a heat map.