Title :
MIPAS ground processor and data products
Author :
Nett, H. ; Carli, B. ; Carlotti, M. ; Dudhia, A. ; Fischer, H. ; Flaud, J.M. ; Perron, G. ; Raspollini, P. ; Ridolfi, M.
Author_Institution :
Eur. Space Res. & Technol. Centre, Noordwijk, Netherlands
Abstract :
As an ESA-provided payload instrument on board ENVISAT the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) will routinely acquire atmospheric limb emission spectra in the middle infrared region. Due to its high radiometric sensitivity and spectral resolution capabilities a large number of middle atmospheric constituents can be detected that are of primary interest in the various disciplines of atmospheric research. The ENVISAT ground segment concept foresees generation and near real time dissemination of MIPAS data products up to the level of pressure (p), temperature (T) and volume-mixing-ratio (VMR) profiles for the high priority target species O3, H2O, CH4, N2O, HNO3 . The basic algorithms have been defined and are currently being verified in various ESA supported studies. End-to-end tests based on simulated instrument raw data have been carried out, using prototype versions of the Level 1B (processing from raw data up to calibrated radiance spectra) and Level 2 algorithm components (retrieval of vertical p, T and VMR profiles). Runtime checks have been performed for the critical profile retrieval modules. For a reference scenario (p, T plus five trace gas retrievals for a single, 16 heights elevation sequence; one iteration per retrieval), a total runtime of ~150 s has been achieved on an IBM RS/6000 model 397
Keywords :
atmospheric composition; atmospheric techniques; geophysical signal processing; mesosphere; remote sensing; stratosphere; thermosphere; 4 to 15 mum; ENVISAT; H2O; HNO3; IR spectra; MIPAS; Michelson Interferometer for Passive Atmospheric Sounding; N2O; O3; algorithm; chemical composition; data products; ground processor; humidity; infrared spectroscopy; limb emission spectra; limb profiling; measurement technique; mesosphere; middle atmosphere; middle infrared region; ozone; satellite remote sensing; stratosphere; thermosphere; troposphere; vertical profile retrieval; water vapor; water vapour; Information retrieval; Infrared spectra; Instruments; Land surface temperature; Payloads; Radiometry; Runtime; Temperature sensors; Testing; Virtual prototyping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.772063