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    Regional-Scale Modeling of Reference Evapotranspiration: Intercomparison of Two Simplified Temperature- and Radiation-Based Approaches

    Source: Journal of Irrigation and Drainage Engineering:;2015:;Volume ( 141 ):;issue: 012
    Author:
    Alfonso Senatore
    ,
    Giuseppe Mendicino
    ,
    Carmelo Cammalleri
    ,
    Giuseppe Ciraolo
    DOI: 10.1061/(ASCE)IR.1943-4774.0000917
    Publisher: American Society of Civil Engineers
    Abstract: Two regionalized models for the distributed estimation of daily reference evapotranspiration, the temperature-based Hargreaves (HE) and the radiation-based Makkink (MK) equations, are applied in Southern Italy during the years 2007 and 2008. Spatially distributed meteorological inputs, such as air temperature and incoming solar radiation, were derived from geostatistical interpolation of ground data and from the Land Surface Analysis Satellite Application Facility (LSA-SAF) surface radiation product, respectively. Comparison of the latter with 83,394 daily measurements provided by 128 weather stations shows a not negligible seasonal error in daily solar radiation that is corrected by means of a periodic equation. A preliminary local calibration of the MK coefficient highlights its strong dependency on the interactions between moist winds from the Atlantic Ocean and orographic obstructions, leading to two western and eastern subzones. Hence, a regionalization of the MK-adjusted coefficient was performed following a procedure similar to the one already used by the authors in a previous work for the HE coefficient. Application of both regionalized models and their comparison with Penman-Monteith estimates derived from the same stations leads to average whole-year absolute errors of approximately
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      Regional-Scale Modeling of Reference Evapotranspiration: Intercomparison of Two Simplified Temperature- and Radiation-Based Approaches

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    https://yetl.yabesh.ir/yetl1/handle/yetl/81698
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    contributor authorAlfonso Senatore
    contributor authorGiuseppe Mendicino
    contributor authorCarmelo Cammalleri
    contributor authorGiuseppe Ciraolo
    date accessioned2017-05-08T22:30:18Z
    date available2017-05-08T22:30:18Z
    date copyrightDecember 2015
    date issued2015
    identifier other47273262.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81698
    description abstractTwo regionalized models for the distributed estimation of daily reference evapotranspiration, the temperature-based Hargreaves (HE) and the radiation-based Makkink (MK) equations, are applied in Southern Italy during the years 2007 and 2008. Spatially distributed meteorological inputs, such as air temperature and incoming solar radiation, were derived from geostatistical interpolation of ground data and from the Land Surface Analysis Satellite Application Facility (LSA-SAF) surface radiation product, respectively. Comparison of the latter with 83,394 daily measurements provided by 128 weather stations shows a not negligible seasonal error in daily solar radiation that is corrected by means of a periodic equation. A preliminary local calibration of the MK coefficient highlights its strong dependency on the interactions between moist winds from the Atlantic Ocean and orographic obstructions, leading to two western and eastern subzones. Hence, a regionalization of the MK-adjusted coefficient was performed following a procedure similar to the one already used by the authors in a previous work for the HE coefficient. Application of both regionalized models and their comparison with Penman-Monteith estimates derived from the same stations leads to average whole-year absolute errors of approximately
    publisherAmerican Society of Civil Engineers
    titleRegional-Scale Modeling of Reference Evapotranspiration: Intercomparison of Two Simplified Temperature- and Radiation-Based Approaches
    typeJournal Paper
    journal volume141
    journal issue12
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)IR.1943-4774.0000917
    treeJournal of Irrigation and Drainage Engineering:;2015:;Volume ( 141 ):;issue: 012
    contenttypeFulltext
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