Comparing OMI‐TOMS and OMI‐DOAS total ozone column data

Abstract

[1] The Ozone Monitoring Instrument (OMI) project team uses two total ozone retrieval algorithms in order to maintain the long-term record established with Total Ozone Mapping Spectrometer (TOMS) data as well as to improve the ozone column estimate using the hyperspectral capability of OMI. The purpose of this study is to assess where the algorithms produce comparable results and where the differences are significant. Starting with the same set of Earth reflectance data, the total ozone data used in this study have been derived using OMI-TOMS and OMI-Differential Optical Absorption Spectroscopy (DOAS) algorithms. OMI-TOMS is based on the TOMS version 8 algorithm that has been used to process TOMS data taken since November 1978. The OMI-DOAS retrieval algorithm was developed specifically for OMI. It takes advantage of the hyperspectral feature of the OMI instrument to reduce errors due to aerosols, clouds, surface, and sulfur dioxide from volcanic eruptions. The OMI-DOAS algorithm also has improved correction for cloud height. The mean differences in the ozone column derived from the two algorithms vary from 0 to 9 DU (0-3%), and their correlation coefficients vary between 0.89 and 0.99 with latitude and season. The largest differences occur in the polar regions and over clouds. Some of the differences are due to stray light, dark current, and other instrumental errors that have been corrected in the new version of the OMI radiance/irradiance data set (collection 3). Other differences are algorithmic. OMI-DOAS algorithmic errors identified through this analysis are also being corrected in collection 3 reprocessing. However, for consistency with the long-term TOMS record, OMI-TOMS collection 3 data will still be based on the TOMS V8 algorithm. Preliminary analysis shows much better agreement in the two total ozone data sets after reprocessing.

Accuracy, precision, and temperature dependence of Pandora total ozone measurements estimated from a comparison with the Brewer triad in Toronto

“…The OMI instrument measures the solar radiation backscattered by the Earth's atmosphere and surface between 270 and 500 nm with a spectral resolution of about 0.5 nm . The OMI TCO data are retrieved using both the Total Ozone Mapping Spectrometer (TOMS) technique (developed by NASA (Bhartia and Wellemeyer, 2002) and based on a retrieval using four wavelengths at 313, 318, 331, and 360 nm) and the DOAS technique (developed by KNMI Kroon et al, 2008) and based on the spectrum measured in the wavelength range 331.1-336.6 nm). The OMI TCO validation done by Balis et al (2007) shows a globally averaged agreement of better than 1 % for OMI-TOMS data and better than 2 % for OMI-DOAS data in comparison with Brewer and Dobson measurements.…”

The impact of parameterising light penetration into snow on the photochemical production of NO<sub><i>x</i></sub> and OH radicals in snow

“…The effect of column ozone on the depth-integrated photolysis rate coefficient ratio was explored as downwelling UV radiation is very sensitive to stratospheric ozone absorption and the attenuation is a strong function of wavelength. Typical value of column ozone in Antarctica (also the global average; Kroon et al, 2008) is about 300 DU but can be as low as 150 DU in the Antarctic O 3 hole (Kramarova et al, 2014). Column ozone generally increases from the tropics to midlatitudes.…”

Investigation of SO2Effect on TOMS O3Retrieval from OMI Measurement in China

“…DOAS 알고리즘 또한 위성측정을 통한 오존 산출에 사 용되어 왔다 (Bracher et al, 2005;Kroon et al, 2008;Loyola et al, 2011). 1995년 4월 Second Europe Remote Sensing satellite (ERS-2)의 Global Ozone Monitoring Experiment (GOME)센서, 2002년 3월의 European ENVIronmental SATellite (ENVISAT) 위성의 SCanning Imaging Absorption spectro Meter for Atmospheric CHartogaphY (SCIAMACHY) 센서가 측정한 원시자료로부터 DOAS 알고리즘을 사 용하여 오존전량을 산출하였다 (Bracher et al, 2005;Loyola et al, 2011).…”

“…특히 이산화황의 양 이 매우 높게 존재하는 화산 구름 내에서 TOMS 알고리 즘을 이용한 오존 산출에 이산화황이 영향을 주는 것으 로 보고되고 있다 (Krueger, 1983;McPeters et al, 1984;Korean Journal of Remote Sensing, Vol.32, No.6, 2016 -6 30 - Kroon et al, 2008;Choi et al, 2015). 로마, 프랑스, 스페인, 서울에서 이와 같은 유사한 비교 연구가 수행 된 바 있다 (Ialongo et al, 2008;Buchard et al, 2008;Antón et al,, 2009;Hong et al,, 2014).…”