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- W2510170125 abstract "Computing crop reference evapotranspiration (ETo) with the FAO Penman–Monteith method (PM-ETo) requires maximum and minimum air temperature, shortwave radiation, relative air humidity and wind speed. These data are often not available, thus requiring alternative computation procedures. Although some proposed approximations may provide ETo values with small estimation errors, the physics of the ET processes may then not be well described. The use of reanalysis data, which is common in climate studies, represents an alternative to observation data for the weather variables referred above, when these are not available. This study focuses on the use of the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) blended reanalysis products with gridded data sets for the computation of PM-ETo in the Iberian Peninsula. A monthly time step was adopted. The PM-ETo time series computed with the blended reanalysis data sets were compared with those obtained using observations for 130 weather stations in the Iberian Peninsula. Results show that the PM-ETo computed with blended reanalysis compares well with the series computed from observation data (average root mean square error, RMSE = 0.49 mm day−1). The weather variables derived from reanalysis were also compared with observation data. Results supported the quality of ETo computations because, overall, there was a good match between solar radiation (average RMSE = 1.76 MJm−2 day−1) and maximum temperature (average RMSE = 1.48 °C) derived from reanalysis and in situ observations. By contrast, the wind speed from reanalysis highly overestimated observations and this is likely a reason for the slight overestimation of ETo computed from reanalysis (percentage bias, PBIAS>20% in 89% of cases). In addition, the reanalysis products are apparently influenced by modelled warming, which contributes to overestimation of the minimum temperature and, to a lesser extent, of the relative humidity. The spatial pattern of accuracy indicators reveals that poorer results correspond to the southern and south-eastern coastal areas of Iberia, where climate is semi-arid. The compatibility of the PM-ETo computed with monthly inputs and of the daily ETo cumulated to the month using the PM-ETo equation was confirmed, thus allowing to extend conclusions of this study to daily computations. Alternative reanalysis products were also assessed. Tests for ERA-Interim reanalysis products revealed overestimation of ETo and those for NCEP/NCAR Reanalysis II have shown large underestimation. Results suggest that the blended reanalysis products are suitable for the estimation of ETo in Iberia since they integrate an appropriate correction of radiation and temperature, which proved essential for the good estimation results obtained." @default.
- W2510170125 created "2016-09-16" @default.
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- W2510170125 date "2016-08-24" @default.
- W2510170125 modified "2023-10-16" @default.
- W2510170125 title "Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula" @default.
- W2510170125 cites W1532492136 @default.
- W2510170125 cites W1582880996 @default.
- W2510170125 cites W1848280225 @default.
- W2510170125 cites W1890585326 @default.
- W2510170125 cites W1894250892 @default.
- W2510170125 cites W1966750992 @default.
- W2510170125 cites W1967129449 @default.
- W2510170125 cites W1967580744 @default.
- W2510170125 cites W1972086104 @default.
- W2510170125 cites W1972641521 @default.
- W2510170125 cites W1973344262 @default.
- W2510170125 cites W1977356164 @default.
- W2510170125 cites W1980701638 @default.
- W2510170125 cites W1984678359 @default.
- W2510170125 cites W1985874216 @default.
- W2510170125 cites W1989668498 @default.
- W2510170125 cites W1996580130 @default.
- W2510170125 cites W2000454689 @default.
- W2510170125 cites W2003123646 @default.
- W2510170125 cites W2003696872 @default.
- W2510170125 cites W2005718628 @default.
- W2510170125 cites W2007873570 @default.
- W2510170125 cites W2007897236 @default.
- W2510170125 cites W2010546627 @default.
- W2510170125 cites W2015522309 @default.
- W2510170125 cites W2019928915 @default.
- W2510170125 cites W2023895820 @default.
- W2510170125 cites W2024980804 @default.
- W2510170125 cites W2033506705 @default.
- W2510170125 cites W2033904036 @default.
- W2510170125 cites W2037460094 @default.
- W2510170125 cites W2038698475 @default.
- W2510170125 cites W2042676476 @default.
- W2510170125 cites W2044090917 @default.
- W2510170125 cites W2045401247 @default.
- W2510170125 cites W2047445539 @default.
- W2510170125 cites W2047519066 @default.
- W2510170125 cites W2050198538 @default.
- W2510170125 cites W2050565203 @default.
- W2510170125 cites W2051610466 @default.
- W2510170125 cites W2055751515 @default.
- W2510170125 cites W2058013657 @default.
- W2510170125 cites W2058998445 @default.
- W2510170125 cites W2061082580 @default.
- W2510170125 cites W2061632729 @default.
- W2510170125 cites W2064709742 @default.
- W2510170125 cites W2067591518 @default.
- W2510170125 cites W2074082212 @default.
- W2510170125 cites W2077579163 @default.
- W2510170125 cites W2081316120 @default.
- W2510170125 cites W2082754833 @default.
- W2510170125 cites W2085731133 @default.
- W2510170125 cites W2087864093 @default.
- W2510170125 cites W2090137585 @default.
- W2510170125 cites W2090249381 @default.
- W2510170125 cites W2092803337 @default.
- W2510170125 cites W2100818728 @default.
- W2510170125 cites W2105822931 @default.
- W2510170125 cites W2105991292 @default.
- W2510170125 cites W2108886061 @default.
- W2510170125 cites W2110367901 @default.
- W2510170125 cites W2115431773 @default.
- W2510170125 cites W2120496201 @default.
- W2510170125 cites W2121745948 @default.
- W2510170125 cites W2122871942 @default.
- W2510170125 cites W2124268876 @default.
- W2510170125 cites W2127157330 @default.
- W2510170125 cites W2136870862 @default.
- W2510170125 cites W2141060690 @default.
- W2510170125 cites W2147373950 @default.
- W2510170125 cites W2150014087 @default.
- W2510170125 cites W2151249467 @default.
- W2510170125 cites W2151976015 @default.
- W2510170125 cites W2166821066 @default.
- W2510170125 cites W2167453193 @default.
- W2510170125 cites W2171507619 @default.
- W2510170125 cites W2171675708 @default.
- W2510170125 cites W2172254344 @default.
- W2510170125 cites W2173251738 @default.
- W2510170125 cites W2175394225 @default.
- W2510170125 cites W4248106377 @default.
- W2510170125 doi "https://doi.org/10.1002/joc.4852" @default.
- W2510170125 hasPublicationYear "2016" @default.
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