Atmospheric applications on GRID with a focus on GOMOS and MIPAS
Christian Retscher(1), Luigi Fusco(1), Claus Zehner(1), Pedro Goncalves(1), Fabrice Brito(1) and Gottfried Kirchengast(2)
(1) ESA/ESRIN, Via Galileo Galilei CP. 64 , 00044 Frascati, Italy
(2) Wegener Center, University of Graz, Leechgasse 25, 8010 Graz, Austria
The GRID provides an efficient, and highly collaborative tool to faster process and interpret large amounts of Earth observation data. The GRID combines storage and computing elements, which are located in different geographic locations and combines them to a single access point. As such GRID is, amongst other interfaces, the perfect environment to
sophisticatedly treat scientific results coming from a variety of atmospheric instruments. Due to e.g. geographically dislocated research groups, data and processing resources, single instrument applications are often lacking proper comparison or even validation mechanisms with similar instruments or equivalent data products.
At ESA the current functionality in GRID for atmospheric science purposes provides access to sounding data via the integrated BEAT libraries (Basic Envisat & ERS-2 Atmospheric Toolbox). Similar to BEAM (Basic ERS & Envisat (A)ATSR and Meris Toolbox) and BEST (Basic Envisat SAR Toolbox), the development of this toolbox was initiated by ESA and implemented by European companies. BEAT gives not only access to data, furthermore it provides high level ingestion routines to make the inter-comparison of e.g. the trace gas ozone or the atmospheric temperature possible.
In this work we focus on an exploitation and comparison of GOMOS (Global Ozone Monitoring by Occultation of Stars) and MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) ozone and temperature data.
In the case of GOMOS, profiles are taken from the official ESA product and are as well generated by YAGOP (Yet Another GOMOS Processor) a processor
running on GRID. For the YAGOP ozone processing we take GOMOS transmission data and feed an optimal estimation routine by
incorporating a-priori data. YAGOP temperatures are gained by exploiting pointing data of the Steering Front Assembly (SFA)
and the Star Acquisition and Tracking Unit (SATU), which provide information on the refraction of the star light in the atmosphere
and thus allows to derive refractive bending angle profiles. For MIPAS we selected data, which were reprocessed by the GeoFit/MRT
algorithm. The reprocessing campaign and comparison include all available datasets from the beginning of the mission in 2002 up to
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,