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Regridding of remote sensing retrievals: formalism and application to GOME vs Microwave ozone profile comparison

Yasmine Calisesi(1), Roeland van Oss(2) and Vincent T. Soebijanta(3)

(1) International Space Science Institute, Hallerstrasse 6, CH - 3012 Bern, Switzerland
(2) Royal Netherlands Meteorological Institute (KNMI), PO Box 201 , NL-3730 AE De Bilt , Netherlands
(3) Belgian Institute for Space Aeronomy, Avenue Circulaire, 3 , B-1180 Bruxelles, Belgium

Abstract

One of the difficulties commonly arising in geophysical intercomparison studies is the inhomogeneity of the comparison data. As a matter of fact, two independent measurements of an atmospheric constituent profile to be compared to each other will generally be expressed in different units, and onto fully different vertical grids. For many applications, these differences can be most simply eliminated by the application of interpolation or averaging operators, or of auxiliary profiles such as temperature and pressure to achieve homogenized profile units. In the case of profiles retrieved from remote sounding measurements using advanced techniques such as optimal estimation, however, the situaton is complicated by the different dependency on a-priori information, expressed in differing averaging kernels. In order to solve this problem, a formalism was developed that allows the homogenization of retrieval products (and in particular of their numerical grids) without preliminary alteration of the respective retrieval algorithms. In a recent study, this formalism was applied to the comparison of independent ozone profile measurements by the Global Ozone Monitoring Experiment (GOME) and a ground-based microwave radiometer (MW) during 2000. We present the results of this study, and describe the employed linear profile transformation method.

 

Full paper

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