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Sensitivity of the Omi Ozone Profile Retrieval (Omo3Pr) to a Priori Assumptions : Volume 7, Issue 2 (25/02/2014)

By Mielonen, T.

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Book Id: WPLBN0004000122
Format Type: PDF Article :
File Size: Pages 35
Reproduction Date: 2015

Title: Sensitivity of the Omi Ozone Profile Retrieval (Omo3Pr) to a Priori Assumptions : Volume 7, Issue 2 (25/02/2014)  
Author: Mielonen, T.
Volume: Vol. 7, Issue 2
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: copernicus


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Veefkind, J. P., De Haan, J. F., & Mielonen, T. (2014). Sensitivity of the Omi Ozone Profile Retrieval (Omo3Pr) to a Priori Assumptions : Volume 7, Issue 2 (25/02/2014). Retrieved from

Description: Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands. We have assessed the sensitivity of the operational OMI ozone profile retrieval (OMO3PR) algorithm to a number of a priori assumptions. We studied the effect of stray light correction, surface albedo assumptions and a priori ozone profiles on the retrieved ozone profile. Then, we studied how to modify the algorithm to improve the retrieval of tropospheric ozone. We found that stray light corrections have a significant effect on the retrieved ozone profile but mainly at high altitudes. Surface albedo assumptions, on the other hand, have the largest impact at the lowest layers. Selection of an ozone profile climatology which is used as a priori information has small effects on the retrievals at all altitudes. However, the usage of climatological a priori covariance matrix has a significant effect. Based on these sensitivity tests, we made several modifications to the OMO3PR algorithm: the a priori ozone climatology was replaced with a new climatology (TpO3), the a priori covariance matrix was calculated from the climatological ozone variance values, and the surface albedo was assumed to be linearly dependent on wavelength in the UV2 channel. We found that the a priori covariance matrix basically defines the vertical distribution of degrees of freedom for a retrieval. Moreover, all the studied versions of the OMO3PR algorithm were equally effective in reducing uncertainty in the retrieved ozone profile. This implies that the posterior error values depend mostly on the assumed a priori errors. Our case study over Europe showed that the new version produced over 10% smaller ozone abundances which reduced the systematic overestimation of ozone in the OMO3PR algorithm and improved correspondence with IASI retrievals.

Sensitivity of the OMI ozone profile retrieval (OMO3PR) to a priori assumptions

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