02104nam a2200193 a 450000100080000000500110000800800410001910000230006024501720008326003260025530000140058152012040059565000110179965000200181065000210183065300220185170000200187370000170189319368572020-01-08 2012 bl uuuu u00u1 u #d1 aMEDEIROS, S. R. de aEvaluation of the model NASA/POWER for the estimate daily radiation data versus radiation daily observed data of the weather stations in Brazil.h[electronic resource] aIn: CONGRESSO BRASILEIRO DE METEOROLOGIA, 17.; ENCONTRO DE METEOROLOGIA DOS PAÍSES DO MERCOSUL E ASSOCIADOS, 1.; ENCONTRO SUL AMERICANO DE APLICAÇÕES DO SISTEMA EUMETCast PARA O MONITORAMENTO METEOROLÓGICO E AMBIENTAL, 4.; ENCONTRO DE METEOROLOGIA OPERACIONAL, 2., 2012, Gramado. Anais: programa. Gramado: UFRGSc2012 c1 CD-ROM. aSUMMARY: The meteorological data have always served as tools for decision support for agriculture, but data availability and quality are often a problem. This reality is very present in the data acquisition of daily solar radiation (SRAD), due to the process of acquisition of such data requires electronic integrators, sensors, and accurate calibration standards, which are rarely available. The NASA Office of Energy Resources World Forecast and estimated daily data of solar radiation based on satellite observations and atmospheric parameters derived from satellite observations and mathematical models. The data are available for a grid, worldwide, in 1 ° × 1 ° in geographic coordinates. In Brazil, the daily solar radiation data were generated from atmospheric attenuation extraterrestrial radiation (Q0). We compared data from NASA's daily solar radiation (SRADNP) with the data generated and available through the INPE of 18 stations (observed values of daily solar radiation, SRADOB). It was found that the observed versus estimated daily solar radiation showed a good correlation between the models, indicating that the model NASA / POWER is effective to estimate daily radiation data. aModels aSolar radiation aRadiação Solar aModelo NASA/POWER1 aPINTO, H. M. S.1 aMARIN, F. R.