Evidence map›Paper›PMID 39289384›Full record

ArticleScientific data2024

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 and 2 more

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Bram DroppersDepartment of Physical Geography, Utrecht University, P.O. Box 80.115, 3508 TC, Utrecht, The Netherlands. b.droppers@uu.nl.ORCID http://orcid.org/0000-0002-9559-8986
Oldrich RakovecDepartment of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318, Leipzig, Germany. oldrich.rakovec@ufz.de.ORCID http://orcid.org/0000-0003-2451-3305
Leandro AvilaInstitute of Bio- and Geosciences Agrosphere (IBG-3), Research Centre Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
Shima AzimiCenter Agriculture, Food and Environment (C3A), Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123, Trento, Italy.
Nicolás Cortés-TorresResearch Group of Hydrological and Environmental Modelling (GIMHA), Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camì de Vera S/N, 46022, Valencia, Spain.ORCID http://orcid.org/0009-0005-0932-5084
David De León PérezResearch Group of Hydrological and Environmental Modelling (GIMHA), Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camì de Vera S/N, 46022, Valencia, Spain.ORCID http://orcid.org/0000-0002-1846-9750
Ruben ImhoffOperational Water Management & Early Warning Department, Deltares, P.O. Box 177, 2600 MH, Delft, The Netherlands.
Félix FrancésResearch Group of Hydrological and Environmental Modelling (GIMHA), Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camì de Vera S/N, 46022, Valencia, Spain.
Stefan KolletInstitute of Bio- and Geosciences Agrosphere (IBG-3), Research Centre Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
Riccardo RigonCenter Agriculture, Food and Environment (C3A), Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123, Trento, Italy.
Albrecht WeertsOperational Water Management & Early Warning Department, Deltares, P.O. Box 177, 2600 MH, Delft, The Netherlands.
Luis SamaniegoDepartment of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318, Leipzig, Germany.ORCID http://orcid.org/0000-0002-8449-4428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39289384
PMCPMC11408525

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.