Early Validation of Gomos Limb Products Altitude Registration by Backscatter Lidar using Temperature and Density Profiles

One basic need for all limb data products is the correct registration of the altitude for each measurement level. The validation of profile products has to comprise beyond the comparison of absolute values also an inspection of the altitude registration assigned to the measurement values. Lidar inst...

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Bibliographic Details
Main Authors: U. Blum, K. H. Fricke, S. R. Pal, R. Berman
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.862
http://envisat.esa.int/pub/ESA_DOC/envisat_val_1202/proceedings/ACV/ground_based/05_blum.pdf
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Summary:One basic need for all limb data products is the correct registration of the altitude for each measurement level. The validation of profile products has to comprise beyond the comparison of absolute values also an inspection of the altitude registration assigned to the measurement values. Lidar instruments are particularly suitable to perform this kind of validation due to a very precise determination of altitude as well as an high altitude resolution. Several lidar instruments are included in the validation activities, however, at this early validation stage there are only two contributions to the validation of limb products altitude registration. One contribution is by the University of Bonn Lidar at the Esrange (Sweden) and the other by the York University Lidar at Toronto (Canada) presently run by the Meteorological Service of Canada (MSC). In a campaign lasting from mid July to the end of August validation measurements for Envisat atmospheric products were carried out with the University of Bonn backscatter lidar at the Esrange (68N, 21E) near Kiruna in northern Sweden. Temperature and density profiles of Gomos level 2 products processed with software version GOPR LV2 5.3 were used for comparison with lidar relative density and absolute temperature profiles to obtain information on the altitude registration of Gomos data products. Calculating the cross correlation function of corresponding Gomos and lidar profiles yields altitude-shifts for the maximum cross correlation coefficient. This altitude-shift reveals information on the Gomos altitude-registration. Using the density data for comparison shows a perfect agreement in altitude-registration between