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Evaluation of radiation components in a global freshwater model with station-based observations

  • In many hydrological models, the amount of evapotranspired water is calculated using the potential evapotranspiration (PET) approach. The main driver of several PET approaches is net radiation, whose downward components are usually obtained from meteorological input data, whereas the upward components are calculated by the model itself. Thus, uncertainties can be large due to both the input data and model assumptions. In this study, we compare the radiation components of the WaterGAP Global Hydrology Model, driven by two meteorological input datasets and two radiation setups from ERA-Interim reanalysis. We assess the performance with respect to monthly observations provided by the Baseline Surface Radiation Network (BSRN) and the Global Energy Balance Archive (GEBA). The assessment is done for the global land area and specifically for energy/water limited regions. The results indicate that there is no optimal radiation input throughout the model variants, but standard meteorological input datasets perform better than those directly obtained by ERA-Interim reanalysis for the key variable net radiation. The low number of observations for some radiation components, as well as the scale mismatch between station observations and 0.5° × 0.5° grid cell size, limits the assessment.

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Verfasserangaben:Hannes Müller SchmiedORCiDGND, Richard Müller, Arturo Sanchez-Lorenzo, Bodo AhrensORCiDGND, Martin Wild
URN:urn:nbn:de:hebis:30:3-451365
DOI:https://doi.org/10.3390/w8100450
ISSN:2073-4441
Titel des übergeordneten Werkes (Englisch):Water
Verlag:MDPI
Verlagsort:Basel
Sonstige beteiligte Person(en):Karl-Erich Lindenschmidt
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Fertigstellung:2016
Datum der Erstveröffentlichung:14.10.2016
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:30.11.2017
Freies Schlagwort / Tag:BSRN; GEBA; global hydrological modeling; radiation; uncertainty; validation with station observations
Jahrgang:8
Ausgabe / Heft:10, Art. 450
Seitenzahl:25
Erste Seite:1
Letzte Seite:25
Bemerkung:
© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
HeBIS-PPN:432468609
Institute:Geowissenschaften / Geographie / Geowissenschaften
Fachübergreifende Einrichtungen / Biodiversität und Klima Forschungszentrum (BiK-F)
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Geowissenschaften / Geographie
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung 4.0