Forecast input and output spatial dataset for multi-hazard modellilng

This dataset contains the main forecast input based on Global Ensemable Dorecasting System (GEFS). They have been corrected by using observed data at each meteorological gauge in Val'd Aran (Spanish Pyrenees). In addition, two main outputs are included which represents the probablity of failure of the June 2013 landslide event. Summary Data type: Time series dataset and spatial data Measured variables: Daily accumulated rainfall for 2000-2024 Daily maximum temperature for 2000-2024 Daily minimum temperature for 2000-2024 Study Area: Upper Garona River Basin (Val'd Aran) Output gridded spatial resolution: 30 meters Slope stability model: Infinite Slope and Random Forest Projection of spatial data: WGS 84 Files GEFS_corrected_forecast.rar: Meteorological data forecast_apcp_daily_2020:_2024.csv: Long format daily rainfal for 7 gauges forecast_tmax_2m_daily_2020:_2024.csv: Long format daily maximum temperature for 11 gauges forecast_tmin_2m_daily_2020:_2024.csv: Long format daily minimum temperature for 11 gauges slope_stability.rar: Probabilty of failure maps PoF_rf_20130618.tif: Random Forest output for the day of the event PoF_is_20130618.tif: Infinite Slope output for the day of the event