The method Heliosat-2 for deriving shortwave solar radiation from satellite images
By Christelle Rigollier, Mireille Lefevre, Lucien Wald. 2004
541 citations recorded by the source corpus.
This article presents the method Heliosat-2 that converts observations made by geostationary meteorological satellites into estimates of the global irradiation at ground level. This new version integrates the knowledge gained by various exploitations of the original method Heliosat and its varieties in a coherent and thorough way. It is based upon the same physical principles but the inputs to the method are calibrated radiances, instead of the digital counts output from the sensor. This change opens the possibilities of using known models of the physical processes in atmospheric optics, thus removing the need for empirically defined parameters and of pyranometric measurements to tune them. The ESRA models are used for modeling the clear-sky irradiation. The assessment of the ground albedo and the cloud albedo is based upon explicit formulations of the path radiance and the transmittance of the atmosphere. The method Heliosat-2 is applied to Meteosat images of Europe for the months of January 1995, April 1995 and July 1994. Pyranometric measurements performed by thirty-five meteorological stations are used to assess the performances that are close to those of Heliosat-1 found in the literature. Possible improvements are discussed.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/7a29e66da9ffa9eae82d50eb7bed7f85eeb23cda
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In Artificial Intelligence
- M. Moner-Girona
- S. Szabó
- Mireille Lefevre
- R. Mueller
- Shunlin Liang
- Philippe Blanc
- Bella Espinar
- Lucien Wald
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- The CM-SAF operational scheme for the satellite based retrieval of solar surface irradiance - a LUT based eigenvector hybrid approach. (2009, background): “Heliosat-2 (Rigolier et al., 2004) which is optimised as an operational processing chain for climatological data (HelioClim).”
- McClear: a new model estimating downwelling solar radiation at ground level in clear-sky conditions (2013, methodology): “The HelioClim database derives from images of the Meteosat series of satellites using the Heliosat-2 method (Rigollier et al., 2004) and the ESRA clear-sky model (Wald et al., 2000; Rigollier et al., 2000) modified by Geiger et al. (2002) with the climatology of the Linke turbidity factor from…”
- Estimating surface solar irradiance from satellites: Past, present, and future perspectives (2019, methodology): “(1986) and later modified by many others (e.g., Beyer et al., 1996; Qu et al., 2012; Rigollier et al., 2004).”
- Energy solutions in rural Africa: mapping electrification costs of distributed solar and diesel generation versus grid extension (2011, methodology): “This calculation was made using the photovoltaic geographic information system (PVGIS) database [6], which in turn is based on solar radiation data from HelioClim-1 [19].”
- Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method (2017, background): “It became very popular and the versions bearing major improvements were numbered (Heliosat-1, Beyer et al., 1996; Heliosat-2, © 2016 The authors DOI 10.1127/metz/2016/0781 Gebrüder Borntraeger Science Publishers, Stuttgart, www.borntraeger-cramer.com Rigollier et al., 2004; Heliosat-3).”