Marion Schroedter-Homscheidt

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G. Myhre , F. Stordal , M. Johnsrud, D. J. Diner, I. V. Geogdzhayev, J. M. Haywood, B. Holben, T. Holzer-Popp, A. Ignatov, R. Kahn, Y. J. Kaufman, N. Loeb, J. Martonchik, M. I. Mishchenko, N. R. Nalli, L. A. Remer, M. Schroedter-Homscheidt, D. Tanré, O. Torres, and M. Wang Norwegian Institute for Air Research (NILU), Kjeller, Norway Department of(More)
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(More)
Within the Earth Observation Market and Development (EOMD) programme at the European Space Agency (ESA) the ENVISOLAR project aims at an intensified usage of Earth Observation based information products in the solar energy industries. Existing services for investment decision, plant management, load forecasting and for science and consulting rely on high(More)
Knowledge of the solar resource is essential for the planning and operation of solar energy systems. A number of data bases giving information on solar resources have been developed over the past years. The result is a fragmentation of services each having each own mechanism of access and all are giving different results due to different methods, input data(More)
A synergetic aerosol retrieval method (SYNAER) to retrieve aerosol optical thickness and type has been developed and validated at DLR-DFD with GOME and ATSR-2, both onboard ERS-2 ([1] and [2]). This method is currently adapted to ENVISAT SCIAMACHY and AATSR and will also be applicable to METOP GOME-2 and AVHRR. Based on 14 months of data in 1997/1998 from(More)
Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability of renewable energy sources such as wind and solar is not continuous as it is affected by meteorological factors. The challenge is to develop forecast methods capable of(More)
Knowledge of the solar energy resource is essential for the planning and operation of solar energy systems. In past years there has been substantial European and national funding to develop information systems on solar radiation data, leading to the situations that several data bases exist in parallel, developed by different approaches, various spatial and(More)
We test two cloud products: Optimal Cloud Analysis (OCA) of EUMETSAT, and APOLLO from the German Aerospace Center (DLR), for the assessment of surface downwelling solar irradiance (SSI). Each product is input to the Heliosat-4 method, and the SSI estimates are compared to accurate measurements performed in the Baseline Radiation Network (BSRN). The(More)
The Heliosat-4 method developed by the MINES ParisTech and the German Aerospace Center (DLR), aims at estimating surface downwelling solar irradiance (SSI). It benefits from advanced products derived from recent Earth Observation missions, among which the cloud products are crucial for the assessment of SSI. The APOLLO cloud product provided by DLR includes(More)
*Corresponding author: armel.oumbe@mines-paristech.fr Abstract – This paper presents the first prototype of a new method –called Heliosat-4– for assessing solar surface irradiance. The Heliosat-4 method is based on the radiative transfer model libRadtran and benefits from advanced products derived from recent Earth Observation missions. It will provide(More)