ROBIN: Reference observatory of basins for international hydrological climate change detection

S Turner; J Hannaford; L J Barker; G Suman; A Killeen; R Armitage; W Chan; H Davies; A Griffin; A Kumar; H Dixon; M T D Albuquerque; N Almeida Ribeiro; C Alvarez-Garreton; E Amoussou; B Arheimer; Y Asano; T Berezowski; A Bodian; H Boutaghane; R Capell; H Dakhaoui; J Daňhelka; H X Do; C Ekkawatpanit; E M El Khalki; A K Fleig; R Fonseca; J D Giraldo-Osorio; A B T Goula; M Hanel; S Horton; C Kan; D G Kingston; G Laaha; R Laugesen; W Lopes; S Mager; M Rachdane; Y Markonis; L Medeiro; G Midgley; C Murphy; P O’connor; A I Pedersen; H T Pham; M Piniewski; B Renard; M E Saidi; P Schmocker-Fackel; K Stahl; M Thyer; M Toucher; Y Tramblay; J Uusikivi; N Venegas-Cordero; S Visessri; A Watson; S Westra; P H Whitfield

doi:10.1038/s41597-025-04907-y

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ROBIN: Reference observatory of basins for international hydrological climate change detection

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ROBIN: Reference observatory of basins for international hydrological climate change detection

S Turner, J Hannaford, L J Barker, G Suman, A Killeen, R Armitage, W Chan, H Davies, A Griffin, A Kumar, …

Scientific Data , Vol.12

18/04/2025

DOI: https://doi.org/10.1038/s41597-025-04907-y

PMID: 40251200

Résumé

climate warming

global warming

hydrological cycle

water cycle

river basin

watershed

drainage basin

hydrological data

adaptation to climate change

Human-induced warming is modifying the water cycle. adaptation to posed threats requires an understanding of hydrological responses to climate variability. Whilst these can be computationally modelled, observed streamflow data is essential for constraining models, and understanding and quantifying emerging trends in the water cycle. to date, the identification of such trends at the global scale has been hindered by data limitations -in particular, the prevalence of direct human influences on streamflow which can obscure climate-driven variability. By removing these influences, trends in streamflow data can be more confidently attributed to climate variability. Here we describe the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) -the first iteration of a global network of streamflow data from national reference hydrological networks (RHNs) -comprised of catchments which are near-natural or have limited human influences. This collaboration has established a freely available global RHN dataset of over 3,000 catchments and code libraries, which can be used to underpin new science endeavours and advance change detection studies to support international climate policy and adaptation.

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Titre: ROBIN: Reference observatory of basins for international hydrological climate change detection
Créateurs - sans rôle: S Turner - The Open University
J Hannaford - UK Centre for Ecology & Hydrology
L J Barker - UK Centre for Ecology & Hydrology
G Suman - UK Centre for Ecology & Hydrology
A Killeen - UK Centre for Ecology & Hydrology
R Armitage - UK Centre for Ecology & Hydrology
W Chan - UK Centre for Ecology & Hydrology
H Davies - UK Centre for Ecology & Hydrology
A Griffin - UK Centre for Ecology & Hydrology
A Kumar - UK Centre for Ecology & Hydrology
H Dixon - UK Centre for Ecology & Hydrology
M T D Albuquerque - Department of Psychiatry [Montréal]
N Almeida Ribeiro
C Alvarez-Garreton - Center for Climate and Resilience Research (Chile, Santiago) -
E Amoussou - Université de Parakou
B Arheimer - Swedish Meteorological and Hydrological Institute
Y Asano - Tokyo Institute of Technology [Tokyo]
T Berezowski - Gdańsk University of Technology
A Bodian - Centre d'Etude Regional pour l'Amelioration de l'Adaptation a la Secheresse
H Boutaghane - Badji Mokhtar-Annaba University
R Capell - Swedish Meteorological and Hydrological Institute
H Dakhaoui - National Engineering School of Tunis
J Daňhelka - Czech Hydrometeorological Institute
H X Do
C Ekkawatpanit - King Mongkut's University of Technology Thonburi
E M El Khalki - Université Mohammed VI Polytechnique
A K Fleig - Norwegian Water Resources and Energy Directorate
R Fonseca - University of Évora
J D Giraldo-Osorio - Pontificia Universidad Javeriana
A B T Goula - Université Nangui Abrogoua
M Hanel - Czech University of Life Sciences Prague
S Horton - University of Canterbury
C Kan - Federal Office for the Environment
D G Kingston - University of Otago
G Laaha - BOKU University
R Laugesen - Bureau of Meteorology
W Lopes
S Mager - University of Otago
M Rachdane - Cadi Ayyad University
Y Markonis - Czech University of Life Sciences Prague
L Medeiro - Universidad Politécnica de Madrid
G Midgley - Stellenbosch University
C Murphy - National University of Ireland, Maynooth
P O’connor - National University of Ireland, Maynooth
A I Pedersen - Norwegian Water Resources and Energy Directorate
H T Pham - Da Nang University of Technology
M Piniewski - Warsaw University of Life Sciences
B Renard - Aix-Marseille Université
M E Saidi - Université Mohammed VI Polytechnique
P Schmocker-Fackel - Federal Office for the Environment
K Stahl - University of Freiburg
M Thyer - The University of Adelaide
M Toucher - South African Environmental Observation Network
Y Tramblay - Université de Montpellier, Observation Spatiale, Modèles et Science Impliquée - ESPACE DEV
J Uusikivi - Finnish Environment Institute
N Venegas-Cordero - Warsaw University of Life Sciences
S Visessri - Chulalongkorn University
A Watson - Stellenbosch University
S Westra - The University of Adelaide
P H Whitfield - University of Saskatchewan
Détails de publication: Scientific Data , Vol.12
Note de subvention: UK Research & Innovation (UKRI) Natural Environment Research Council (NERC) NE/W004038/1
Identifiants: 99132450609311
Unité académique: Observation Spatiale, Modèles et Science Impliquée - ESPACE DEV
Langue: English
Type de ressource: Journal article
Champs locaux: hal-05292985