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Reevaluation of Stratospheric Ozone Trends from Sage II Data Using a Simultaneous Temporal and Spatial Analysis : Volume 14, Issue 24 (17/12/2014)

By Damadeo, R. P.

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Book Id: WPLBN0003993598
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: Reevaluation of Stratospheric Ozone Trends from Sage II Data Using a Simultaneous Temporal and Spatial Analysis : Volume 14, Issue 24 (17/12/2014)  
Author: Damadeo, R. P.
Volume: Vol. 14, Issue 24
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Thomason, L. W., Zawodny, J. M., & Damadeo, R. P. (2014). Reevaluation of Stratospheric Ozone Trends from Sage II Data Using a Simultaneous Temporal and Spatial Analysis : Volume 14, Issue 24 (17/12/2014). Retrieved from

Description: NASA Langley Research Center, Hampton, VA, USA. This paper details a new method of regression for sparsely sampled data sets for use with time-series analysis, in particular the Stratospheric Aerosol and Gas Experiment (SAGE) II ozone data set. Non-uniform spatial, temporal, and diurnal sampling present in the data set result in biased values for the long-term trend if not accounted for. This new method is performed close to the native resolution of measurements and is a simultaneous temporal and spatial analysis that accounts for potential diurnal ozone variation. Results show biases, introduced by the way data are prepared for use with traditional methods, can be as high as 10%. Derived long-term changes show declines in ozone similar to other studies but very different trends in the presumed recovery period, with differences up to 2% per decade. The regression model allows for a variable turnaround time and reveals a hemispheric asymmetry in derived trends in the middle to upper stratosphere. Similar methodology is also applied to SAGE II aerosol optical depth data to create a new volcanic proxy that covers the SAGE II mission period. Ultimately this technique may be extensible towards the inclusion of multiple data sets without the need for homogenization.

Reevaluation of stratospheric ozone trends from SAGE II data using a simultaneous temporal and spatial analysis

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