首页    期刊浏览 2024年12月12日 星期四
登录注册

文章基本信息

  • 标题:OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE
  • 本地全文:下载
  • 作者:M. R. Mobasheri ; H. Shirazi
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2015
  • 卷号:XL-1/W5
  • 页码:467-474
  • DOI:10.5194/isprsarchives-XL-1-W5-467-2015
  • 出版社:Copernicus Publications
  • 摘要: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
  • 关键词:Tropospheric Ozone; OMI; TES; Remote Sensing; Surface Temperature; Nitrogen Dioxide; Radiative Flux
国家哲学社会科学文献中心版权所有