Deliverables Ozone Profile Retrieval Algorithm Summary: GOME is the first of a new generation of satellite instruments that measures ozone and other trace gases in the earth's atmosphere. In theory, GOME observation could used to get three-dimensional information about the ozone distribution ("ozone profile"), but this is not a standard product. However, the scientists who study the ozone layer and the numerical weather forecast community have expressed interest for such data. The "Ozone Profile Retrieval" algorithm developed here has sufficient quality for these users. The key innovation feature is the efficiency of the program. This algorithm is already the fastest yet, and is in theory able to keep up with the observations of GOME, which is essential for use of the data in an "Numerical weather Prediction (NWP)" system. Work is already underway to exploit the algorithm as part of an NWP system. In order to be able to process data from future satellite instruments (line SCIAMACHY, GOME-2, OMI-EOS, it will be necessary to make the algorithm even more efficient. UV-B Modeling Algorithm Summary: An algorithm for UV-B modeling was implemented in the OASE simulator. The model used by the algorithm is the SMART2 model, which is a simple model for radioactive transfer in the atmosphere. The basic input data for calculating UV radiation at ground level is the total ozone, but also information on air mass, geolocation, surface characteristics is needed. The output of the UV modeling consists of UV index and spectral irradiance, which allows the user to apply any response function to the result. The algorithm is modular and therefore is easy to use any model with required complexity and precision. GOME data processors for level 0 to 1 and level 1 to 2 processing (GDP) Summary: GDP is a software system for the processing of atmospheric remote sensing data from the GOME instrument on ERS-2. GDP was developed and implemented at DFD, at ESA`s receiving station in Kiruna for NRT and within the OASE system. It incorporates a Level 0 data generator from original GOME raw data, a Level 0 to 1 processing chain for the calculation of calibrated radiance and a DOAS O3 total column retrieval process (Level 1 to 2). The relevance of these data processors is given by the fact that they are the only operational data processors for the generation of GOME data products in the framework of the ERS ground segment. Universities and other scientific institutions have their own scientific code for the processing of GOME data and also KNMI provides a NRT service, but DFD is the official address for GOME data products. The potential of the GDP processors lies in the usefulness of them for the implementation of data processors for the instruments SCIAMACHY and GOME-2 on ENVISAT and MetOp, respectively. Unfortunately, the processors cannot be used directly for this purpose. Level 0 to 1b processing is very much related to the specific instrument and its individual characteristics, so that only the experience which was gained during the development of this GDP processor may be applied. For the first version of level 1 to 2 algorithms as used in this GDP processor the `scientific` programming language FORTRAN was used. Therefore, also this processor needs to be totally re implemented with a state-of-the-art programming environment (e.g. C++). Environment for distribution processing- OASE Core Facility and OASE Wrapper Toolkit Summary: Client problem The client problem for the OASE project was: analyze and demonstrate the end-to-end functionality (including parameter variation and sensitivity) of an operational space-based ozone monitoring system, by developing and testing a distributed data processing environment which include representative atmosphere and instrument models and user applications. Applicability of OASE With regard to the atmospheric chemistry monitoring system life cycle, OASE fits in particular into all project phases preceding routine operations. In the latter phase, OASE could still support operations for system maintenance, trouble shooting and upgrading if required. Selected activities supported by OASE for current system development and for preparations of the operations phase are: - definition and analysis of critical interfaces at the earliest possible stage - Prototyping and breadboarding of the ground segment - Performance analysis of the entire processing chain (typically running on a heterogeneous mix of computer platforms). - Preparation and execution of the test phase - Development of user applications - End-user preparation. The OASE Core Facility provides the common user interface for the definition, control and data management of simulation scenarios. The OASE Wrapper Toolkit provides the means by which existing (or new) applications can be incorporated in the OASE system. Exploitation Exploitation of OASE Products and technology is foreseen in: - ESA EOPP Product Engineering Test Bench - EUMETSAT Ozone Satellite Application Facility (SAF) - Calibration and validation campaigns of atmospheric instruments - Towards a generic data processing and simulation environment, EASE - As turn-key distributed processing environment for e.g. civil engineering organizations, research institutes, science community. Appropriate actions will be executed by Fokker Space. This includes not only public relation, marketing and sales, but also further development of the system. Exploitable results GOME Data Processor for level 0 to 1 and level 1 to 2 processing (GDP) The potential of the GDP processors lies in the usefulness of them for the implementation of data processors for the instruments SCIAMACHY and GOME-2 on ENVISAT and MetOp, respectively. Unfortunately, the processors can't be used directly for this purpose. Level 0 to 1b processing is very much related to the specific instrument and its individual characteristics, so that only the experience which was gained during the development of this GDP processor may be applied. For the first version of level 1 to 2 algorithms as used in this GDP processor the scientific" programming language FORTRAN was used. Therefore, also this processor needs to be totally re-implemented with a state-of-the-art programming environment (e.g. .C++) The Global Ozone Monitoring Experiment (GOME) was originally conceived as a scaled-down version of the scanning spectrometer SCIAMACHY. It was given fast-track development status by ESA, and was launched on 21 April 1995 on board the second European Remote Sensing Satellite (ERS-2). GOME is a nadir-viewing spectrometer covering the range 240-790 nm in 4 spectral channels. In its normal, Earth observation mode it scans across-track in three steps. The field of view of each step may be varied in size from 40 km x 40 km to 320 km x 40 km. The mode with the largest footprint (three steps with a total swath width of 960 km x 40 km) provides global coverage at the equator within 3 days - this is the default mode of operation. In addition to the on-line components at the ground stations, the GOME Data Processors (GDP) are the operational off-line ground segment for GOME. GDP was developed and implemented at DFD with the help of several scientific institutions, and became operational in July 1996. It incorporates a Level 0 to 1 processing chain, the complete GOME data archive, a DOAS O3 total column retrieval process (Level 1to 2), and an image processing chain for the generation of higher-level products. The Level 1 and Level 2 data products are generated by DFD on behalf of ESA. The level 1 products (calibrated spectra) are generated in a sort of compressed form. The end user has to apply an extraction software tool to obtain the final level 1 data. For the OASE system the processor and the extraction program have been combined. Total column amounts of NO2, H2CO, SO2, OCIO and BrO have been retrieved successfully from GOME back-scatter measurements. The main algorithm in GDP level 1 to 2 processing is the DOAS (Differential Optical Absorption Spectroscopy) fitting for the retrieval of O3 and NO2 columns; this can be used directly as an OASE application. Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
