Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: Methodology and validation
作者： Dejian Fu , Susan S. Kulawik , Kazuyuki Miyazaki , Kevin W. Bowman , John R. Worden
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摘要: Abstract. The Tropospheric Emission Spectrometer (TES) on the A-Train Aura satellite was designed to profile tropospheric ozone and its precursors, taking measurements from 2004 2018. Starting in 2008, TES global sampling of tropospheric was gradually reduced latitude, with coverage stopping 2011. To extend record of TES, this work presents a multispectral approach that will provide O3 data products with vertical resolution measurement error similar by combining the single-footprint thermal infrared (TIR) hyperspectral radiances Aqua Atmospheric Infrared Sounder (AIRS) instrument ultraviolet (UV) channels Ozone Monitoring Instrument (OMI). joint AIRS + OMI retrievals are processed through MUlti-SpEctra, MUlti-SpEcies, MUlti-SEnsors (MUSES) retrieval algorithm. Comparisons of collocated joint AIRS ozonesonde measurements show both systems have errors, mean standard deviation the differences well within estimated error. TES have slightly different biases (within 5 parts per billion) vs. sondes. Both wide swath widths ( ∼1650 km for AIRS; ∼2600 OMI) across satellite ground tracks. Consequently, potential maintain vertical sensitivity while increasing coverage 2 orders magnitude, thus providing an unprecedented new set which quantify evolution of ozone.
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