English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  HERA: a high-resolution pan-European hydrological reanalysis (1951–2020)

Tilloy, A., Paprotny, D., Grimaldi, S., Gomes, G., Bianchi, A., Lange, S., Beck, H., Mazzetti, C., Feyen, L. (2025): HERA: a high-resolution pan-European hydrological reanalysis (1951–2020). - Earth System Science Data, 17, 1, 293-316.
https://doi.org/10.5194/essd-17-293-2025

Item is

Files

show Files
hide Files
:
essd-17-293-2025.pdf (Publisher version), 10MB
Name:
essd-17-293-2025.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Description:
Data

Creators

show
hide
 Creators:
Tilloy, Aloïs1, Author
Paprotny, Dominik2, Author              
Grimaldi, Stefania1, Author
Gomes, Goncalo1, Author
Bianchi, Alessandra1, Author
Lange, Stefan2, Author              
Beck, Hylke1, Author
Mazzetti, Cinzia1, Author
Feyen, Luc1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: Since 1950, anthropogenic activities have altered the climate, land cover, soil properties, channel morphologies, and water management in the river basins of Europe. This has resulted in significant changes in hydrological conditions. The availability of consistent estimates of river flow at the global and continental levels is a necessity for assessing changes in the hydrological cycle. To overcome limitations posed by observations (incomplete records, inhomogeneous spatial coverage), we simulate river discharge for Europe for the period 1951–2020 using a state-of-the-art hydrological modelling approach. We use the new European set-up of the OS LISFLOOD model, running at 1 arcmin (≈1.8 km) with 6-hourly time steps. The hydrological model is forced by climate reanalysis data (ERA5-Land) that are bias-corrected and downscaled to the model resolution with gridded weather observations. The model also incorporates 72 surface field maps representing catchment morphology, vegetation, soil properties, land use, water demand, lakes, and reservoirs. Inputs related to human activities are evolving through time to emulate societal changes. The resulting Hydrological European ReAnalysis (HERA) provides 6-hourly river discharge for 282 521 river pixels with an upstream area >100 km2. We assess its skill using 2448 river gauging stations distributed across Europe. Overall, HERA delivers satisfying results (), despite a general underestimation of observed mean discharges ( %), and demonstrates a capacity to reproduce statistics of observed extreme flows. The performance of HERA increases through time and with catchment size, and it varies in space depending on reservoir influence and model calibration. The fine spatial and temporal resolution results in an enhanced performance compared to previous hydrological reanalysis based on OS LISFLOOD for small- to medium-scale catchments (100–10 000 km2). HERA is the first publicly available long-term, high-resolution hydrological reanalysis for Europe. Despite its limitations, HERA enables the analysis of hydrological dynamics related to extremes, human influences, and climate change at a continental scale while maintaining local relevance. It also creates the opportunity to study these dynamics in ungauged catchments across Europe. The HERA hydrological reanalysis and its climate and dynamic socio-economic inputs are available via the JRC data catalogue: https://doi.org/10.2905/a605a675-9444-4017-8b34-d66be5b18c95 (Tilloy et al., 2024).

Details

show
hide
Language(s): eng - English
 Dates: 2024-02-022024-11-192025-01-302025-01-30
 Publication Status: Finally published
 Pages: 24
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/essd-17-293-2025
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
Working Group: Inter-Sectoral Impact Attribution and Future Risks
MDB-ID: No MDB - stored outside PIK (see locators/paper)
OATYPE: Gold Open Access
Model / method: Qualitative Methods
Regional keyword: Europe
Research topic keyword: Extremes
Research topic keyword: Climate impacts
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : Decomposition of flood losses by environmental and economic drivers
Grant ID : 449175973
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)

Source 1

show
hide
Title: Earth System Science Data
Source Genre: Journal, SCI, Scopus, p3, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 17 (1) Sequence Number: - Start / End Page: 293 - 316 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_126
Publisher: Copernicus