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Methanol from Tes Global Observations: Retrieval Algorithm and Seasonal and Spatial Variability : Volume 12, Issue 5 (08/05/2012)

By Cady-pereira, K. E.

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Book Id: WPLBN0003996076
Format Type: PDF Article :
File Size: Pages 37
Reproduction Date: 2015

Title: Methanol from Tes Global Observations: Retrieval Algorithm and Seasonal and Spatial Variability : Volume 12, Issue 5 (08/05/2012)  
Author: Cady-pereira, K. E.
Volume: Vol. 12, Issue 5
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Payne, V. H., Millet, D. B., Worden, J., Xiao, Y., Luo, M., Wells, K. C.,...Shephard, M. W. (2012). Methanol from Tes Global Observations: Retrieval Algorithm and Seasonal and Spatial Variability : Volume 12, Issue 5 (08/05/2012). Retrieved from http://www.ebooklibrary.org/


Description
Description: Atmospheric and Environmental Research, Inc., Lexington, Massachusetts, USA. We present a detailed description of the TES methanol (CH3OH) retrieval algorithm, along with initial global results showing the seasonal and spatial distribution of methanol in the lower troposphere. The full development of the TES methanol retrieval is described, including microwindow selection, error analysis, and the utilization of a priori and initial guess information provided by the GEOS-Chem chemical transport model. Retrieval simulations and a sensitivity analysis using the developed retrieval strategy show that TES: (i) generally provides between 0.5 and 1.0 pieces of information, (ii) is sensitive in the lower troposphere with peak sensitivity typically occurring between ~900–700 hPa (~1–3 km) at a vertical resolution of ~5 km, (iii) has a limit of detectability between 0.5 and 1.0 ppbv Representative Volume Mixing Ratio (RVMR) depending on the atmospheric conditions, corresponding roughly to a profile with a maximum concentration of at least 1 to 2 ppbv, and (iv) in a simulation environment has a mean bias of 0.16 ppbv and a standard deviation of 0.34 ppbv. Applying the newly-derived TES retrieval globally and comparing the results with corresponding GEOS-Chem output, we find generally consistent large-scale patterns between the two. However, TES often reveals higher methanol concentrations than predicted in the Northern Hemisphere spring, summer and fall. In the Southern Hemisphere, the TES methanol observations indicate a model overestimate over the bulk of South America from December through July, and a model underestimate during the biomass burning season.

Summary
Methanol from TES global observations: retrieval algorithm and seasonal and spatial variability

Excerpt
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