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• W2189595003 abstract "Observation techniques for surface energy balance components on kilometer scale. Several methods have been proposed to estimate ET over large areas which combine Earth Observation Satellite data with standard climate data. Here we use the Makkink approach where incoming solar radiation is obtained by calculating exoatmospheric incoming solar radiation, using visible data from GOES West to estimate cloudiness and 16-day composite MODIS Enhanced Vegetation Index data to estimate fractional vegetation cover. This methodology can be used operationally at a spatial resolution of 1 km2 but validation data are required at a similar spatial scale. Large Aperture Scintillometers transmit and receive near infrared radiation over distances of several kilometers and provide measurements of the structure parameter for the refractive index of air which is related by Monin-Obukhov Similarity Theory to the surface sensible heat flux (H), which requires measurements of air temperature, pressure and wind speed. ET can then be obtained indirectly as the residual of the energy balance, ET = Rn – G – H so that we need estimates of Net Radiation (Rn) and Soil Heat Flux (G) as well. A scintillometer (Scintec BLS-450) was installed over an irrigated vineyard with area of 72 hectares (1200m x 600m) in June 6th 2009. Net Radiation was measured in the field and soil heat flux was estimated using G = A * Rn, where the parameter A was obtained from 8-day composite MODIS Land Surface Temperature data. Comparison of ET derived from satellite and scintillometer for June 2009 showed considerable scatter with r2 = 0.81 and ETSAT = 1.12 * ETBLS. This apparent overestimation from the satellite-based ET is similar to that found in previous work. However, in these initial calculations it was assumed that unstable conditions would prevail during the daytime but it appears that stable conditions often occur in the late afternoon. Secondly, the estimation of G needs to be carefully revised since this can have a large effect on ET. These factors are being included in the analysis of data over an entire growing season to assess the seasonal behavior of the model." @default.
• W2189595003 created "2016-06-24" @default.
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• W2189595003 date "2013-01-01" @default.
• W2189595003 modified "2023-09-27" @default.
• W2189595003 title "Estimating ET using scintillometers and satellites in an irrigated vineyard in the Costa De Hermosillo, Sonora, Mexico" @default.
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