Assessment of reference evapotranspiration using remote sensing and forecasting tools under semi-arid conditions

Cruz-Blanco, M.; Jiménez-Gavilán, Pablo; Santos, C.; Lorite, Ignacio J.

doi:10.1016/j.jag.2014.06.008

Cited by 25 publications

(31 citation statements)

References 44 publications

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“…They reported RMSE averaging 0.69 mm day −1 in a range of 0.43–1.04 mm day −1 . That average was smaller, 0.50 mm day −1 , when observations were used instead of ECMWF data (Cruz‐Blanco et al , ). In this study, RMSE for the Andalusia region ranged from 0.22 to 1.00 mm day −1 , with an average value of 0.55 mm day −1 , thus showing that reanalysis provides for similar or better ET o results.…”

Section: Resultsmentioning

confidence: 99%

Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula

Martins

Paredes

Raziei

et al. 2016

Intl Journal of Climatology

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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.

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Section: Resultsmentioning

confidence: 99%

Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula

Martins

Paredes

Raziei

et al. 2016

Intl Journal of Climatology

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“…ET o is therefore a key component of the hydrological cycle and a basis for estimating the water requirements of a crop (Cruz-Blanco et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

2018

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Abstract:The Food and Agriculture Organization of the United Nations (FAO) in its publication No. 56 of the Irrigation and Drainage Series presents the FAO Penman-Monteith procedure for the estimation of reference evapotranspiration from meteorological data, however, its calculation may be complicated in areas where there are no weather stations. This paper presents an evaluation of the potential of the Land Surface Temperature and Digital Elevation Models products derived from the MODIS and ASTER sensors, both on board the Terra EOS AM-1 satellite, for the estimation of reference evapotranspiration using the Penman-Monteith FAO-56, Hargreaves, Thornthwaite and Blaney-Criddle models. The four models were compared with the method proposed by FAO calculated with the observed data of a ground based meteorological station, finding a significant relation with the models Penman-Monteith FAO-56 and Hargreaves.Key words: Land Surface Temperature, MODIS, ASTER, reference evapotranspiration, FAO. Combinación de imágenes satelitales con datos meteorológicos para la estimación de la evapotranspiración de referenciaResumen: La Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO) en su publicación No 56 de la Serie de Riego y Drenaje presenta el procedimiento FAO Penman-Monteith para la estimación de la evapotranspiración de referencia a partir de datos meteorológicos, no obstante, su cálculo puede complicarse en zonas donde no se cuenta con estaciones meteorológicas. El presente artículo exhibe una evaluación del potencial de productos de Temperatura Superficial Terrestre y Modelos Digitales de Elevación derivados de imágenes adquiridas por los sensores MODIS y ASTER, ambos a bordo del satélite Terra EOS AM-1, para la estimación de la evapotranspiración de referencia utilizando los modelos de Penman-Monteith FAO-56, Hargreaves, Thornthwaite y Blaney-Criddle. Los cuatro modelos fueron comparados con el método propuesto por la FAO calculado con datos observados de una estación meteorológica en tierra, encontrando una relación significativa con los modelos Penman-Monteith FAO-56 y Hargreaves.Palabras clave: Temperatura Superficial Terrestre, MODIS, ASTER, evapotranspiración de referencia, FAO.

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“…2. The circular movement of the pivots drives the excess irrigated water towards the prereferral of the irrigated fields leading to higher salinity levels (Zwart and Bastiaanssen, 2004;Cruz-Blanco et al, 2014). The mean actual evapotranspiration value is almost 5 mm day −1 (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Evapotranspiration is the principle process in defining mass and energy relationship in the surrounding hydrosphere (Allen et al, 2007a, b;Cruz-Blanco et al, 2014). The consumptive use of irrigational water in agriculture is the fundamental component of a balanced estimation of evapotranspiration (Bastiaanssen et al, 2011;Cammalleri and Ciraolo, 2013).…”

Section: Introductionmentioning

confidence: 99%

Realization of daily evapotranspiration in arid ecosystems based on remote sensing techniques

Elhag

Bahrawi

2017

Geosci. Instrum. Method. Data Syst.

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Abstract. Daily evapotranspiration is a major component of water resources management plans. In arid ecosystems, the quest for an efficient water budget is always hard to achieve due to insufficient irrigational water and high evapotranspiration rates. Therefore, monitoring of daily evapotranspiration is a key practice for sustainable water resources management, especially in arid environments. Remote sensing techniques offered a great help to estimate the daily evapotranspiration on a regional scale. Existing open-source algorithms proved to estimate daily evapotranspiration comprehensively in arid environments. The only deficiency of these algorithms is the course scale of the used remote sensing data. Consequently, the adequate downscaling algorithm is a compulsory step to rationalize an effective water resources management plan. Daily evapotranspiration was estimated fairly well using an Advance Along-Track Scanner Radiometer (AATSR) in conjunction with (MEdium Resolution Imaging Spectrometer) MERIS data acquired in July 2013 with 1 km spatial resolution and 3 days of temporal resolution under a surface energy balance system (SEBS) model. Results were validated against reference evapotranspiration ground truth values using standardized Penman-Monteith method with R 2 of 0.879. The findings of the current research successfully monitor turbulent heat fluxes values estimated from AATSR and MERIS data with a temporal resolution of 3 days only in conjunction with reliable meteorological data. Research verdicts are necessary inputs for a well-informed decisionmaking processes regarding sustainable water resource management.

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Assessment of reference evapotranspiration using remote sensing and forecasting tools under semi-arid conditions

Cited by 25 publications

References 44 publications

Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula

Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

Realization of daily evapotranspiration in arid ecosystems based on remote sensing techniques

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