|From||Philippe Blanc <firstname.lastname@example.org>|
|Cc||Thierry Ranchin <email@example.com>, "firstname.lastname@example.org" <email@example.com>, benoit gschwind <firstname.lastname@example.org>|
|Date||Mon, 10 Jul 2017 17:00:16 +0200 (CEST)|
Context and challenges
Solar radiation is the main energy source of the Earth. The climate, the weather, the lives of humans, animals and plants depend on this radiation and its variations. The Heliosat methods, developed by MINES ParisTech, allow the conversion of images acquired by geostationary meteorological satellites such as Meteosat into mpas of solar radiation available at the ground surface.
The Heliosat-2 method has been implemented by several research institutes and private companies around the world. Transvalor has been associated with MINES ParisTech since 2009 to use the Heliosat-2 method for producing and marketing solar radiation data. It sells approximately 4 million of products at the yearly basis, and provides associated expert services. The internationalization of Transvalor's customers results in a demand for products all over the world, while the current coverage is currently limited to Europe, Africa, the Middle East and part of South America . In order to satisfy customers, it is necessary to be able to process near-real-time images, as well as image archives since 2000, from geostationary meteorological satellites with very different technologies and characteristics. Although the Heliosat-2 method is adaptable to frequent changes in sensors that are rather similar over time, processing images from spaceborn sensors w of different characteristics require an instance of the Heliosat-2 method for each case. This would not guarantee the consistency of radiation estimates over time and space. In other hand, the Heliosat-4 method, recently developed for the Copernicus service of the European Union, is also not suitable because it exploits the spectral resolution capabilities of the SEVIRI sensor spaceborn by Meteosat Second Generation, for which there is no equivalent for all sensors that are necessary for a global coverage since 2000. This is why Transvalor would like to have a new method, named Heliosat-5, as universal as possible that would be able to uniformly process images from different meteorological satellites for a global coverage.
The scientific objective of the thesis is the design, the development realization and validation of a new “universal” -Heliosat-5- method for estimating surface solar radiation by satellite meant to be implemented operationally eventually.
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