Gathering open source data about global heating's geographic trends and merge them into a usable informative digest. Data come from French DRIAS website. Example here : https://heating-planner-yzaj3jxgfwpquuhq3ofx6t.streamlit.app/
Collect maps from https://interactive-atlas.ipcc.ch by screen-shoting them (maybe later one will provide a handier way to collect data). Collect screenshots + metadata for each screenshot. See example:
| variable | season | scale_mini | scale_maxi | unit | init_fname | |
|---|---|---|---|---|---|---|
| 19 | TXx | Automne | 5 | 38 | degrees C | Capture d’écran 2023-08-01 à 15.52.09.png |
| 29 | RX5day | Printemps | 15 | 180 | mm | Capture d’écran 2023-08-01 à 16.14.17.png |
| 16 | TXx | Hiver | -15 | 20 | degrees C | Capture d’écran 2023-08-01 à 15.48.57.png |
Where
variableis the id of the recorded variableseasonis the recorded seasonscale_miniis the lowerbound of the colorbar usedscale_maxiis the upperbound of the colorbar usedunitis the unit associated to the variableinit_fnameis the initial name of your screenshotinit_folderis the initial folder of your screenshot