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Auflistung nach Autor:in "Schroedter-Homscheidt, Marion"

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  • Konferenzbeitrag
    Early achievements towards an automatic assessment of the uncertainty in solar irradiation using web services
    (Innovations in Sharing Environmental Observations and Information, 2011) Wald, Lucien; Blanc, Philippe; Espinar, Bella; Gschwind, Benoit; Lefevre, Mireille; Menard, Lionel; Wald, Fabien; Hoyer-Klick, Carsten; Schroedter-Homscheidt, Marion; Thomas, Claire
    A long standing effort aims at creating and operating an automatic procedure for the assessment of the uncertainty in solar radiation data and the delivery of this information to users. This communication presents the early achievements. The overall objective can be seen as composed of three specific objectives: 1) assessing the uncertainty of the satellite-derived irradiation compared to a reference; 2) as the uncertainty depends on atmospheric conditions, devising a model that can predict uncertainty at any location and any time; 3) delivering information to users. As irradiation data are already delivered through the SoDa Service and the IEA SHC#36 / MESOR portal, it is natural to use these dissemination media and to embed the uncertainty quantities in the data flow. The strategy is to implement the overall procedure by the means of interoperable Web services. Two ensembles of Web services are being developed: one for the assessment protocol, the other for the model of uncertainty.
  • Konferenzbeitrag
    The project ENDORSE: exploiting EO data to develop pre-market services in renewable energy
    (Innovations in Sharing Environmental Observations and Information, 2011) Wald, Lucien; Thomas, Claire; Cousin, Sophie; Blanc, Philippe; Ménard, Lionel; Schroedter-Homscheidt, Marion; Gaboardi, Elena; Simeone, Emilio; Heilscher, Gerd; Jacques, Sophie; Serpico, Sebastiano; Huld, Thomas; Dumortier, Dominique
    The ENDORSE project is co-funded by the FP7 programme of the European Commission, from 2011 to 2013. It exploits the atmosphere service MACC of the European GMES programme (Global Monitoring for Environment and Security) together with other Earth Observation (EO) data and modelling. It aims at providing public authorities and private investors with accurate evaluation and forecasts of renewable resources. The focus is on the development of downstream services that create added-value information. We present here the achievements of the first period. A very accurate though fast algorithm describing the position of the sun in the sky has been developed. A series of recommendations for quality control of meteorological data have been issued. All algorithms are available as code sources and are being implemented as Web processing services (WPS). Support vector machine techniques prove successful to map the air temperature at 2-m height from satellite images and a few measurements at ground level. The next development of ENDORSE is a portfolio of pre-market downstream services, serving as precursors and examples of best practices for similar services. The resulting services will be described using the INSPIRE metadata and declared in an existing Catalog Service for the Web (CSW) dedicated to energy. Finally, we discuss the mutual benefits between GEOSS (Global Earth Observation System of Systems) and ENDORSE.