Cross-Calibration of the Total Ozone Unit (TOU) With the Ozone Monitoring Instrument (OMI) and SBUV/2 for Environmental Applications

Abstract

A cross-sensor calibration technique is developed and applied to improve upon the prelaunch radiance calibration and characterization for the Total Ozone Unit (TOU) onboard the FengYun-3/A satellite. The Level 3 products from the National Aeronautics and Space Administration Ozone Monitoring Instrument (OMI) onboard the Earth Observing System Aura are used as input to a radiative transfer model to predict the TOU radiances and characterize the biases for the measurements over the Pacific Ocean in low-and midlatitudes. The coefficients are derived from a regression algorithm to adjust the TOU radiances. It is shown that, after the measurement bias correction, the biases between the retrieved total column ozone products from the TOU with those from the OMI Total Ozone Mapping Spectrometer (TOMS)-Version 8 products and those from a set of ground-based station measurements are 3% and 5%, respectively. The variations in the estimated total ozone amounts from the TOU are consistent with those derived from Solar Backscatter Ultraviolet Radiometer instruments and OMI for a period from

Recommendations on the measurement techniques of atmospheric pollutants from in situ and satellite observations: a review

“…The Solar Backscattered Ultraviolet Sounder (SBUS) and the Total Ozone Unit (TOU) were launched on FY-3 (A to C) satellite in 2008 by CMA (Chinese Meteorological Administration) to monitor the air quality (SBUS/TOU 2021). The Photo Multiplier Tube (PMT) technique was used in these instruments to measure the radiation within the spectral range of 252 nm to 380 nm for SBUS, and 308 nm to 360 nm for TOU (Huang et al 2012 ; Wang et al 2012 ). The SBUS ozone profiles provide pretty good precisions at most layers without doing any correction (Fuxiang et al 2010 ).…”

Estimation of Power Plant Emissions With Unscented Kalman Filter

“…It is therefore important to quantify and monitor NO X emissions for air quality control in large cities. In this regard, point sources of this air pollutant can be identified by using satellite data retrieved from the Ozone Monitoring Instrument (OMI) [3], [4]. Emissions from power plants and large diffuse area sources have been estimated by using satellite record of atmospheric parameters, see, e.g., Krueger et al [5], to extract sulfur dioxide emitted by volcanoes, combustion of fossil fuels or smelting of ores.…”