OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE

This article aims to increase the accuracy of Ozone data from tropospheric column (TOC) of the OMI and TES satellite instruments. To validate the estimated amount of satellite data, Ozonesonde data is used. The vertical resolution in both instruments in the tropospheric atmosphere decreases so that...

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Main Authors: M. R. Mobasheri, H. Shirazi
Format: Article
Language:English
Published: Copernicus Publications 2015-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/467/2015/isprsarchives-XL-1-W5-467-2015.pdf
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author M. R. Mobasheri
H. Shirazi
author_facet M. R. Mobasheri
H. Shirazi
author_sort M. R. Mobasheri
collection DOAJ
description This article aims to increase the accuracy of Ozone data from tropospheric column (TOC) of the OMI and TES satellite instruments. To validate the estimated amount of satellite data, Ozonesonde data is used. The vertical resolution in both instruments in the tropospheric atmosphere decreases so that the degree of freedom signals (DOFS) on the average for TES is reduced to 2 and for OMI is reduced to1. But this decline in accuracy in estimation of tropospheric ozone is more obvious in urban areas so that estimated ozone in both instruments alone in non-urban areas show a high correlation with Ozonesonde. But in urban areas this correlation is significantly reduced, due to the ozone pre-structures and consequently an increase on surface-level ozone in urban areas. In order to improve the accuracy of satellite data, the average tropospheric ozone data from the two instruments were used. The aim is to increase the vertical resolution of ozone profile and the results clearly indicate an increase in correlations, but nevertheless the satellite data have a positive bias towards the earth data. To reduce the bias, with the solar flux and nitrogen dioxide values and surface temperatures are calculated as factors of ozone production on the earth’s surface and formation of mathematical equations based on coefficients for each of the mentioned values and multiplication of these coefficients by satellite data and repeated comparison with the values of Ozonesonde, the results showed that bias in urban areas is greatly reduced.
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spelling doaj.art-8f42992a02204e54bb6dae4fd2ce4ebd2022-12-22T00:56:37ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-12-01XL-1-W546747410.5194/isprsarchives-XL-1-W5-467-2015OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATUREM. R. Mobasheri0H. Shirazi1Department of Remote Sensing Engineering, KNToosi University of Technology, Tehran, IranKhavaran Institute of Higher-education (KHI), Mashhad, IranThis article aims to increase the accuracy of Ozone data from tropospheric column (TOC) of the OMI and TES satellite instruments. To validate the estimated amount of satellite data, Ozonesonde data is used. The vertical resolution in both instruments in the tropospheric atmosphere decreases so that the degree of freedom signals (DOFS) on the average for TES is reduced to 2 and for OMI is reduced to1. But this decline in accuracy in estimation of tropospheric ozone is more obvious in urban areas so that estimated ozone in both instruments alone in non-urban areas show a high correlation with Ozonesonde. But in urban areas this correlation is significantly reduced, due to the ozone pre-structures and consequently an increase on surface-level ozone in urban areas. In order to improve the accuracy of satellite data, the average tropospheric ozone data from the two instruments were used. The aim is to increase the vertical resolution of ozone profile and the results clearly indicate an increase in correlations, but nevertheless the satellite data have a positive bias towards the earth data. To reduce the bias, with the solar flux and nitrogen dioxide values and surface temperatures are calculated as factors of ozone production on the earth’s surface and formation of mathematical equations based on coefficients for each of the mentioned values and multiplication of these coefficients by satellite data and repeated comparison with the values of Ozonesonde, the results showed that bias in urban areas is greatly reduced.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/467/2015/isprsarchives-XL-1-W5-467-2015.pdf
spellingShingle M. R. Mobasheri
H. Shirazi
OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
title_full OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
title_fullStr OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
title_full_unstemmed OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
title_short OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
title_sort optimal extraction of tropospheric ozone column by simultaneous use of omi and tes data and the surface temperature
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/467/2015/isprsarchives-XL-1-W5-467-2015.pdf
work_keys_str_mv AT mrmobasheri optimalextractionoftroposphericozonecolumnbysimultaneoususeofomiandtesdataandthesurfacetemperature
AT hshirazi optimalextractionoftroposphericozonecolumnbysimultaneoususeofomiandtesdataandthesurfacetemperature