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Providing convenient data services to the Atmospheric Science community

Richard van Hees(1), Wim Som de Cerff(2), John van de Vegte(3), Frans van der Wel(4) and Ian van der Neut(5)

(1) SRON, Sorbonnelaan 2, 3854 CA Utrecht, Netherlands
(2) KNMI, Wilhelminalaan 10, 3732 GK De Bilt, Netherlands
(3) KNMI, Wilhelminalaan 10, 3730 GK De Bilt, Netherlands
(4) KNMI, Wilhelminalaan10, 3732 GK, Netherlands
(5) KNMI, Wilhelminalaan 10, 3732 GK, Netherlands

Abstract

The development of the Netherlands Sciamachy Data Center (NL-SCIA-DC) is driven by the need of the user community to have access to good quality GOME and Sciamachy data and derived Dutch scientific products. Therefore, we aim at providing good quality level 1b data, access to co-located cloud and aerosol information and providing this data in a GIS friendly format.

The official Sciamachy level 1b product is of insufficient quality for several techniques to do trace gas retrieval, due to problems with the polarization correction, absolute radiance calibration, and ice on the infrared channels. Improved algorithms to calibrate Sciamachy data exist. However, reprocessing Sciamachy data is very computer intensive, and will not be made available before mid 2006 Therefore, we will offer, as an intermediate solution, improved level 1b products by patching existing level 1b data products. Patching the data is more efficient than reprocessing a level 1b product from a level 0 product. The NL-SCIA-DC will provide the patched level 1b dataset, from Jan 2003 up to now to the science user community. Improving Sciamchy data by providing patched data is an ongoing effort, in close cooperation with the science user community and ESA through the Sciamachy Quality Working group.

In parallel, we are in the process to extent the functionality of the NL-SCIA-DC with selection criteria based on cloud and/or aerosol information. This information is vital for a correct interpretation of trace gas retrievals from GOME en Sciamachy data, because clouds and aerosols affect the observed atmospheric column. Therefore, the availability of accurate and detailed cloud and aerosol information is requested by NL-SCIA-DC users working on development of trace-gas retrieval algorithms and scientist who are working with GOME and Sciamachy level 2 data products. The NLSCIA-D already provides cloud and aerosol information derived from GOME and Sciamachy data. But in addition we will provide high spatial resolution co-located cloud and aerosol information obtained from ATSR for GOME and AATSR and MERIS for Sciamachy. Which can alsp be used to verify/validate the cloud and aerosol products derived from GOME and Sciamachy data.

Currently the Atmospheric- and Geospatial communities use different toolsets to access similar datasets. The Atmospheric community uses data formats that are internally structured to the specific instruments. Atmospheric researchers and production systems are grafted to these complicated data structures that come with state-of-art instruments. In practice scientist spend a significant fraction of their time to extract data of interest and store it in a usable format. Therefore we aim at providing the data in a format, usable in a GIS environment, which can be directly used to fulfill user needs like data inter-comparison, regridding, selection, manipulation and visualization and will eliminate the need for a scientist to invent/develop their own converters.

 

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, atmospheric chemistry