Assessment of reference evapotranspiration methods in semi-arid regions : can weather forecast data be used as alternate of ground meteorological parameters ?
Autor: | Vincent Simonneaux, A. Ouldbba, Said Khabba, A.G. Chehbouni, Lionel Jarlan, R. Allen, Julio Cesar Rodríguez, Salah Er-Raki |
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Přispěvatelé: | Université Cadi Ayyad [Marrakech] (UCA), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), DMN-Direction de la Météorologie Nationale, Météo Maroc, Universidad de Sonora (USON), Water Resources Engineering, University of Idaho [Moscow, USA], Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
Rok vydání: | 2010 |
Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 0207 environmental engineering Numerical weather prediction models 02 engineering and technology Structural basin 01 natural sciences Effective solution evaporation Climatic data [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems eto Evapotranspiration ALADIN model potential evapotranspiration equations crop Reference evapotranspiration Penman–Monteith equation penman-monteith 020701 environmental engineering Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Earth-Surface Processes model Ecology Arid 13. Climate action Climatology Environmental science Spatial variability Semi-arid environment |
Zdroj: | Journal of Arid Environments Journal of Arid Environments, Elsevier, 2010, 74 (12), pp.1587-1596. ⟨10.1016/j.jaridenv.2010.07.002⟩ Journal of Arid Environments, 2010, 74 (12), pp.1587-1596. ⟨10.1016/j.jaridenv.2010.07.002⟩ |
ISSN: | 0140-1963 1095-922X |
DOI: | 10.1016/j.jaridenv.2010.07.002⟩ |
Popis: | In this study, the performance of three empirical methods for estimating reference evapotranspiration (ET0): Makkink (Mak) and Priestley-Taylor (PT) (radiation-based) and Hargreaves-Samani (HARG) (temperature-based) were assessed in semi-and regions. The values of ET0 derived using these three methods were compared to those estimated using the reference FAO Penman-Monteith (FAO-PM) method under semi-arid conditions of the Tensift basin (central of Morocco) and the Yaqui Valley (Northwest Mexico). The results showed that the HARG method is the best one to estimate ET0 over both semi-and test sites. Conversely, the performance of the other two empirical methods was poor except under humid conditions. However when the parameters alpha and C-m figurate in the PT and Mak equations are locally calibrated, the performance of these two methods greatly improved. Additionally, this study showed that, when measurements of meteorological parameters needed for estimating ET0 (which are not always available especially in developing countries) are lacking, the climatic data generated with numerical weather prediction models provide an alternative and effective solution to estimate ET0. In this regard, data generated using a weather forecast model (ALADIN) over the Tensift basin showed that the HARG model is the most accurate one for estimating the spatio-temporal variability of ET0. |
Databáze: | OpenAIRE |
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