Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022

S. Turner; J. Hannaford; L.J. Barker; G. Suman; R. Armitage; A. Killeen; A. Griffin; H. Davies; 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; G Hodgkins; S. Horton; C. Kan; D.G. Kingston; G. Laaha; R. Laugesen; W. Lopes; S. Mager; Y. Markonis; L. Mediero; G. Midgley; C. Murphy; P. O'Connor; A.I. Pedersen; H.T. Pham; M. Piniewski; M. Rachdane; B. Renard; M.E. Saidi; P. Schmocker-Facker; K. Stahl; M. Thyler; M. Toucher; Y. Tramblay; J. Uusikivi; N. Venegas-Cordero; S. Vissesri; A. Watson; S. Westra; P.H. Whitfield

doi:10.5285/3b077711-f183-42f1-bac6-c892922c81f4

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Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022

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

NERC EDS Environmental Information Data Centre

2024

DOI: https://doi.org/10.5285/3b077711-f183-42f1-bac6-c892922c81f4

Résumé

Climate and climate change

Hydrology

hydrometry

near-natural

Reference Hydrological Network (RHN)

Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN)

stream flow

The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,386 gauging stations across the globe which have natural or near-natural catchments. Metadata is also provided alongside these stations for the Full ROBIN Dataset consisting of 3,060 gauging stations. Data were quality controlled by the central ROBIN team before being added to the dataset, and two levels of data quality are applied to guide users towards appropriate the data usage. Most records have data of at least 40 years with minimal missing data with data records starting in the late 19th Century for some sites through to 2022. ROBIN represents a significant advance in global-scale, accessible streamflow data. The project was funded the UK Natural Environment Research Council Global Partnership Seedcorn Fund - NE/W004038/1 and the NC-International programme [NE/X006247/1] delivering National Capability

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Titre: Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022
Créateurs - sans rôle: S. Turner - UK Centre for Ecology & Hydrology
J. Hannaford - UK Centre for Ecology & Hydrology
L.J. Barker - UK Centre for Ecology & Hydrology
G. Suman - UK Centre for Ecology & Hydrology
R. Armitage - UK Centre for Ecology & Hydrology
A. Killeen - UK Centre for Ecology & Hydrology
A. Griffin - UK Centre for Ecology & Hydrology
H. Davies - UK Centre for Ecology & Hydrology
A. Kumar - UK Centre for Ecology & Hydrology
H. Dixon - UK Centre for Ecology & Hydrology
M.T.D. Albuquerque - Polytechnic University/CERNAS
N. Almeida Ribeiro - University of Évora
C. Alvarez-Garreton - Center for Climate and Resilience Research
E. Amoussou - University of Parakou
B. Arheimer - Swedish Meteorological and Hydrological Institute
Y. Asano - University of Tokyo
T. Berezowski - Gdansk University of Technology
A. Bodian - Gaston Berger University
H. Boutaghane - Badji Mokhtar - Annaba University
R. Capell - Swedish Meteorological and Hydrological Institute
H. Dakhaoui - Université Tunis El Manar
J. Daňhelka - Czech Hydrometeorological Institute
H.X. Do - Nong Lam University – Ho Chi Minh City
C. Ekkawatpanit - Tohoku University
E.M. El Khalki - Mohammed VI Polytechnic University
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 - University of Abobo-Adjamé
M. Hanel - Czech University of Life Sciences Prague
G Hodgkins - United States Geological Survey
S. Horton - University of Canterbury, Christchurch
C. Kan - Swiss Federal Office for the Environment
D.G. Kingston - University of Otago
G. Laaha - University of Natural Resources and Life Sciences, Vienna (BOKU)
R. Laugesen - Bureau of Meteorology
W. Lopes - National Water and Sanitation Agency (ANA)
S. Mager - University of Otago
Y. Markonis - Czech University of Life Sciences Prague
L. Mediero - Universidad Politécnica de Madrid
G. Midgley - Stellenbosch University
C. Murphy - Maynooth University
P. O'Connor - Maynooth University
A.I. Pedersen - Norwegian Water Resources and Energy Directorate
H.T. Pham - University of Danang
M. Piniewski - Warsaw University of Life Sciences
M. Rachdane - Cadi Ayyad University
B. Renard - Aix Marseille University
M.E. Saidi - Cadi Ayyad University
P. Schmocker-Facker - Swiss Federal Office for the Environment
K. Stahl - University of Freiburg
M. Thyler - University of Adelaide
M. Toucher - South African Environmental Observation Network
Y. Tramblay - Research Institute for Development (IRD)
J. Uusikivi - Finnish Environment Institute (SYKE)
N. Venegas-Cordero - Warsaw University of Life Sciences
S. Vissesri - Chulalongkorn University
A. Watson - Stellenbosch University
S. Westra - The University of Adelaide
P.H. Whitfield - University of Saskatchewan
Éditeur: NERC EDS Environmental Information Data Centre
Note de subvention: NE/X006247/1 / Natural Environment Research Council (https://ror.org/02b5d8509) NE/W004038/1 / Natural Environment Research Council (https://ror.org/02b5d8509)
Identifiants: 99138525109311
Unité académique: Hydrosciences Montpellier - HSM
Langue: English
Type de ressource: Dataset