Download
essd-15-5617-2023.pdf 12,21MB
WeightNameValue
1000 Titel
  • The use of GRDC gauging stations for calibrating large-scale hydrological models
1000 Autor/in
  1. Burek, Peter |
  2. Smilovic, Mikhail |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-12-12
1000 Erschienen in
1000 Quellenangabe
  • 15(12):5617-5629
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/essd-15-5617-2023 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. The Global Runoff Data Centre (GRDC) provides time series of observed discharges and information on hydrometric stations that are valuable for calibrating and validating the results of hydrological models. We address a common issue in large-scale hydrology that has not been satisfactorily solved, though investigated several times. To compare simulated and observed discharge, grid-based hydrological models must fit reported station locations to the resolution-dependent gridded river network. We introduce an intersection-over-union ratio approach to selected station locations on a coarser grid scale, reducing the errors in assigning stations to the correct upstream basin. We update the 10-year-old database of watershed boundaries with additional stations based on a high-resolution (3 arcsec) river network and provide source codes and high- and low-resolution watershed boundaries to easily select stations for calibration/validation of hydrological models. The dataset is stored on Zenodo with the associated DOI: https://doi.org/10.5281/zenodo.6906577 (Burek and Smilovic, 2022). </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QnVyZWssIFBldGVy|https://frl.publisso.de/adhoc/uri/U21pbG92aWMsIE1pa2hhaWw=
1000 Hinweis
  • DeepGreen-ID: fc88732faef1455ab2c42c5fd18eff50 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. European Commission |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European Commission |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6482057.rdf
1000 Erstellt am 2024-05-24T02:30:54.326+0200
1000 Erstellt von 322
1000 beschreibt frl:6482057
1000 Zuletzt bearbeitet Mon May 27 09:26:20 CEST 2024
1000 Objekt bearb. Mon May 27 09:26:20 CEST 2024
1000 Vgl. frl:6482057
1000 Oai Id
  1. oai:frl.publisso.de:frl:6482057 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source