This dataset accompanies and is described in the publication “Evidence from 2024 Storm Boris indicates anthropogenic climate change amplifies floods more than extreme precipitation”.

Dataset Overview

This dataset contains climate model simulations from two nudged climate models (CESM2 and AWI-CM-1) reconstructing the 2024 Storm Boris over central Europe under both historical (observed, factual) greenhouse gas emissions and pre-industrial (counterfactual) greenhouse gas emissions, along with hydrological simulations to reconstruct the resulting flood hazard. The climate model output is used to:

1. Compare the precipitation event in factual and counterfactual simulations to attribute the intensity of the precipitation extreme to the thermodynamic effects of climate change
2. Create counterfactual forcings for two hydrological models (EARLS and mHM) to attribute the flood hazard associated with the extreme precipitation event to climate change

Technical Description

All data covers the duration of the precipitation extreme and subsequent flooding between 2024-09-01 and 2024-09-30 for the event region in central Europe (12° E – 20° E, 47° N – 52.5° N). All data is at daily temporal resolution. All gridded datasets are remapped to 0.125° spatial resolution with longitude ascending and latitude descending. All meteorological data contains daily precipitation sum (variable `pre`), daily average temperature (variable `tavg`), daily minimum temperature (variable `tmin`), and daily maximum temperature (variable `tmax`). Gridded data is stored as netCDF files with time coordinates using a standard Gregorian calendar (variable `time`), latitude (variable `latitude` or `lat`), and longitude (variable `longitude` or `lon`). Catchment-averaged data is stored in CSV files following the format `catchment_id.csv` with the date column formatted as ‘YYYY-MM-DD’ for all catchments in Austria, Czechia, and Poland.

Climate Model Simulations

`climate_model_CESM2`: Contains single ensemble members for the factual and counterfactual simulations with the nudged climate model CESM2
`climate_model_AWI-CM1`: Contains 5 ensemble members (numbered 1-5) for the factual and counterfactual simulations with the nudged climate model AWI-CM1

Gridded Meteorology

The gridded meteorology is directly used as dynamic input for the hydrological model mHM.

– `factual_meteo_gridded`: Contains the E-OBS observational dataset remapped to 0.125° resolution for the mHM model
– `counterfactual_meteo_gridded_CESM2`: Contains the counterfactual meteorology calculated from the single factual and counterfactual CESM2 simulation and the E-OBS observations
– `counterfactual_meteo_gridded_AWI-CM1`: Contains the counterfactual meteorology calculated from the 5 factual and counterfactual AWI-CM1 simulations and the E-OBS observations. There are 25 counterfactuals (5×5) from all pairs o