24 February 2004 Derivation of regional net radiation from satellite data (METEOSAT-7 and NOAA-14) with available ground measurements using spectral atmospheric model
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Abstract
Net radiation received at ground, is an important component of the energy-budget of ground surface. Indirect derivations of this parameter are common on the absence of direct measurements with reliable instruments. Most frequently, they are based partly on satellites observations and partly on available climatic observations. This paper presents development work on a tool for modelling the net radiation received at ground. This work presents a method to estimate both the solar (shortwave) and terrestrial (longwave) radiation at ground surface. At first, this work is devoted to estimate the shortwave irradiance under all sky conditions from the geo-stationary weather satellite Meteosat-7. The model is based on NREL’s SPECTRAL2 model for clear skies which takes no account of cloud attenuation of solar radiation. It can be shown to work well for its design purpose, but in maritime climates clear weather days are few and far between. Development work on the original model includes modification of the aerosol model and extended work on the Dedieu (1987) for developing a physically model to derive downward solar irradiance at the surface of the earth and surface albedo from Meteosat satellite measurements in the wavelength between 0.40 and 1.10 μm. The model takes into account Rayleigh and Mie scattering, water vapor and Ozone absorption. No threshold setting is necessary to distinguish between clear and cloudy conditions, there by avoiding the problem of its arbitrary nature and to some extent allowing quicker and easier data processing. Secondly, we propose an estimating net long wave radiation by available ground measurements from air and soil temperature combining Meteosat-7 and NOAA-14 AVHRR images.
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Aboura Radia, Aboura Radia, Lansari Abdeldjelil, Lansari Abdeldjelil, } "Derivation of regional net radiation from satellite data (METEOSAT-7 and NOAA-14) with available ground measurements using spectral atmospheric model", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.512204; https://doi.org/10.1117/12.512204
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