Early results on the validation of the vertical atmospheric structure as reported in the Envisat level 2 products using data from the university of Bonn lidar at the Esrange

Details Early results on the validation of the vertical atmospheric structure as reported in the Envisat level 2 products using data from the university of Bonn lidar at the Esrange Early results on the validation of the vertical atmospheric structure as reported in the Envisat level 2 products using data from the university of Bonn lidar at the Esrange

Aug 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.530..463f&link_type=abstract

In: 16th ESA Symposium on European Rocket and Balloon Programmes and Related Research, 2 - 5 June 2003, Sankt Gallen, Switzerlan

Mathematics

Logic

Satellite Validation, Middle Atmosphere, Envisat, Lidar

Scientific paper

Envisat carries three atmospheric insruments, Gomos, Mipas, and Sciamachy, which measure altitude profiles of temperature and density (or pressure) and thus determine the vertical structure of the terrestrial atmosphere on a global scale. In combination with near real time data processing these profiles are highly useful for the meteorological services to constrain the analyses. All satellite data require validation. A high-power backscatter lidar is well equipped to validate atmospheric structure-data such as density and temperature profiles obtained by satellite borne instruments. The Bonn University backscatter lidar on the Esrange (68N, 21E) near Kiruna, Sweden, was operated for two campaigns in mid-summer 2002 and again in mid-winter of 2003 to collect such data in two different seasons of temperature extremes. Envisat level 2 products are presently (mid-2003) available to members of the Atmospheric Chemistry Validation team. There are a number of Envisat data sufficiently close in time and location to be validated with the lidar data obtained in winter 2002/03 from the Esrange. In general the validation results were mixed. Depending on the instrument the results ranged from sobering to encouraging. Major improvements in the inversion algoritms are anticipated before the public release of these Envisat data.

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