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Data Publication

HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)


Tilloy,  Alois
External Organizations;


Paprotny,  Dominik
Potsdam Institute for Climate Impact Research;

Luc,  Feyen
External Organizations;

Grimaldi,  Stefania
External Organizations;

Goncalo,  Gomes
External Organizations;

Hylcke,  Beck
External Organizations;


Lange,  Stefan
Potsdam Institute for Climate Impact Research;

Bianchi,  Alessandra
External Organizations;

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Tilloy, A., Paprotny, D., Luc, F., Grimaldi, S., Goncalo, G., Hylcke, B., Lange, S., Bianchi, A. (2024): HERA: a high-resolution pan-European hydrological reanalysis (1950-2020).

Cite as: https://publications.pik-potsdam.de/pubman/item/item_29543
The HERA high-resolution pan-European hydrological reanalysis (1950-2020) dataset is the result of a joint effort between the JRC and PIK to produce a long term hydrological reanalysis with downscaled and bias-corrected climate reanalysis (ERA5-land) and dynamic socioeconomic inputs. It includes maps of climate variables (evaporation, evapotranspiration, precipitation, temperature), dynamic socioeconomic inputs (land use, water demand, reservoir maps) required for hydrological modelling with LISFLOOD and river discharge with European extent at 1 arc minute (~1.5 km) grid resolution and 6-hourly time step. The dataset builds on recent development within the European Flood Awareness System (EFAS) associated to the EFAS v5.0 reanalysis (http://data.europa.eu/89h/76b4b9de-a5c6-4344-8d88-c4bed7752ce3), notably the LISFLOOD static and parameters maps for Europe (http://data.europa.eu/89h/f572c443-7466-4adf-87aa-c0847a169f23) and the EMO (European Meteorological Observations) dataset (http://data.europa.eu/89h/0bd84be4-cec8-4180-97a6-8b3adaac4d26). HERA also benefits from major improvements to the open-source hydrological model LISFLOOD and a new model calibration. Furthermore, for ungauged catchments, a parameter regionalization was performed transferring parameter sets from donor catchments based on spatial and climatological proximity to ensure the best possible simulation of river flows for all catchments in the European domain. Along with improved resolution and modelling performances, the length of the modelled period (71 years) and the inclusion of dynamic socioeconomic conditions enables the analysis of hydrological dynamics related to extremes, human influences, and climate change at a continental scale while keeping local relevance. Detailed technical information on the dataset can be found in the associated scientific article (under review).