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Technical Note: Impact of Nonlinearity on Changing the a Priori of Trace Gas Profiles Estimates from the Tropospheric Emission Spectrometer (Tes) : Volume 8, Issue 1 (25/01/2008)

By Kulawik, S. S.

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Book Id: WPLBN0003998168
Format Type: PDF Article :
File Size: Pages 29
Reproduction Date: 2015

Title: Technical Note: Impact of Nonlinearity on Changing the a Priori of Trace Gas Profiles Estimates from the Tropospheric Emission Spectrometer (Tes) : Volume 8, Issue 1 (25/01/2008)  
Author: Kulawik, S. S.
Volume: Vol. 8, Issue 1
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Luo, M., Bowman, K. W., Rodgers, C. D., Kulawik, S. S., & Jourdain, L. (2008). Technical Note: Impact of Nonlinearity on Changing the a Priori of Trace Gas Profiles Estimates from the Tropospheric Emission Spectrometer (Tes) : Volume 8, Issue 1 (25/01/2008). Retrieved from

Description: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. Non-linear optimal estimates of atmospheric profiles from the Tropospheric Emission Spectrometer (TES) may contain a priori information that varies geographically, which is a confounding factor in the analysis and physical interpretation of an ensemble of profiles. A common strategy is to transform these profile estimates to a common prior using a linear operation thereby facilitating the interpretation of profile variability. However, this operation is dependent on the assumption of not worse than moderate non-linearity near the solution of the non-linear estimate. We examines the robustness of this assumption when exchanging the prior by comparing atmospheric retrievals from the Tropospheric Emission Spectrometer processed with a uniform prior with those processed with a variable prior and converted to a uniform prior following the non-linear retrieval. We find that linearly converting the prior following a non-linear retrieval is shown to have a minor effect on the results as compared to a non-linear retrieval using a uniform prior when compared to the expected total error, with less than 10% of the change in the prior ending up as unbiased fluctuations in the profile estimate results.

Technical Note: Impact of nonlinearity on changing the a priori of trace gas profiles estimates from the Tropospheric Emission Spectrometer (TES)

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