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Hourly data were collected from LFE (http://www.forstliche-umweltkontrolle-bb.de/r3_meteo.php) and DWD (https://www.dwd.de/EN/climate_environment/cdc/cdc_node.html)
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Preproessed data are saved in’lfe_UTC.db’.
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Each lfestation is sarownded by two or more than two dwd stations. Check the metadata or read the paper, which dwd stations delong to which LFE station.
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Each script (RF_regression.py’, ‘Mlregression.py’, ‘XGB_regression.py’ ‘SVM_regression.py’) analyses performance of one model with tunning the hyperparameters.
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in ‘XGB_regression .py’, the XGBoost model run and SHAP and resambling method were applied.