Scientific Data (Sep 2024)

Multi-model hydrological reference dataset over continental Europe and an African basin

  • Bram Droppers,
  • Oldrich Rakovec,
  • Leandro Avila,
  • Shima Azimi,
  • Nicolás Cortés-Torres,
  • David De León Pérez,
  • Ruben Imhoff,
  • Félix Francés,
  • Stefan Kollet,
  • Riccardo Rigon,
  • Albrecht Weerts,
  • Luis Samaniego

DOI
https://doi.org/10.1038/s41597-024-03825-9
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 14

Abstract

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Abstract Although Essential Climate Variables (ECVs) have been widely adopted as important metrics for guiding scientific and policy decisions, the Earth Observation (EO) and Land Surface and Hydrologic Model (LSM/HM) communities have yet to treat terrestrial ECVs in an integrated manner. To develop consistent terrestrial ECVs at regional and continental scales, greater collaboration between EO and LSM/HM communities is needed. An essential first step is assessing the LSM/HM simulation uncertainty. To that end, we introduce a new hydrological reference dataset that comprises a range of 19 existing LSM/HM simulations that represent the current state-of-the-art of our LSM/HMs. Simulations are provided on a daily time step, covering Europe, notably the Rhine and Po river basins, alongside the Tugela river basin in Africa, and are uniformly formatted to allow comparisons across simulations. Furthermore, simulations are comprehensively validated with discharge, evapotranspiration, soil moisture and total water storage anomaly observations. Our dataset provides valuable information to support policy development and serves as a benchmark for generating consistent terrestrial ECVs through the integration of EO products.