Validation of OMI total ozone retrievals from the SAO ozone profile algorithm and three operational algorithms with Brewer measurements

Abstract

Abstract. The accuracy of total ozone computed from the Smithsonian Astrophysical Observatory (SAO) optimal estimation (OE) ozone profile algorithm (SOE) applied to the Ozone Monitoring Instrument (OMI) is assessed through comparisons with ground-based Brewer spectrometer measurements from 2005 to 2008. We also compare the three OMI operational ozone products, derived from the NASA Total Ozone Mapping Spectrometer (TOMS) algorithm, the KNMI (Royal Netherlands Meteorological Institute) differential optical absorption spectroscopy (DOAS) algorithm, and KNMI's Optimal Estimation (KOE) algorithm. The best agreement is observed between SAO and Brewer, with a mean difference of within 1 % at most individual stations. The KNMI OE algorithm systematically overestimates Brewer total ozone by 2 % at low and mid-latitudes and 5 % at high latitudes while the TOMS and DOAS algorithms underestimate it by ∼ 1.65 % on average. Standard deviations of ∼ 1.8 % are calculated for both SOE and TOMS, but DOAS and KOE have higher values of 2.2 % and 2.6 %, respectively. The stability of the SOE algorithm is found to have insignificant dependence on viewing geometry, cloud parameters, or total ozone column. In comparison, the KOEBrewer differences are significantly correlated with solar and viewing zenith angles and show significant deviations depending on cloud parameters and total ozone amount. The TOMS algorithm exhibits similar stability to SOE with respect to viewing geometry and total column ozone, but has stronger cloud parameter dependence. The dependence of DOAS on observational geometry and geophysical conditions is marginal compared to KOE, but is distinct compared to the SOE and TOMS algorithms. Comparisons of all four OMI products with Brewer show no apparent long-term drift, but seasonal features are evident, especially for KOE and TOMS. The substantial differences in the KOE vs. SOE algorithm performance cannot be sufficiently explained by the use of soft calibration (in SOE) and the use of different a priori error covariance matrices; however, other algorithm details cause fitting residuals larger by a factor of 2-3 for KOE.

The Network for the Detection of Atmospheric Composition Change (NDACC): History, status and perspectives

“…6). NDACC data have also been used to assess the stability and mutual consistency of multiple satellite data records across a multi-decadal period, e.g., McPeters and Labow, 1996;McPeters et al, 2008;Fioletov et al, 2008;Anto'n et al, 2009;Flynn et al, 2014;Bak et al, 2015;Hubert et al, 2016). NDACC is supporting current operational missions like …”

Characterization and correction of OMPS nadir mapper measurements for ozone profile retrievals

“…Its successors continued the role of GOME for atmospheric ozone monitoring with SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY; Bovensmann et al, 1999) aboard the Environmental Satellite (ENVISAT), GOME-2s (EUMETSAT, 2006) aboard the MetOp-A and MetOp-B and Ozone Monitoring Instrument (OMI; Levelt et al, 2006) flown on the EOS Aura spacecraft. The high performance of OMI ozone profile retrievals in both stratosphere and troposphere has been demonstrated through extensive validation efforts using ozonesondes, aircraft, satellite data and ground-based total ozone data (Pittman et al, 2009;Liu et al, 2010;Bak et al, 2013bBak et al, , 2015Huang et al, 2017a, b). However, a portion of OMI radiance measurements has been affected by the partial blockage of the instrument's entrance slit, a problem termed the row anomaly, which started in 2007 and grew serious in January 2009 (Schenkeveld, 2017).…”

Impacts of current and projected oil palm plantation expansion on air quality over Southeast Asia

“…These data have been used previously to assess emissions of NO 2 across Asia (Vinken et al, 2014). We use the NASA OMO3PR product (Bak et al, 2015) that retrieves a vertical profile of ozone concentrations in 18 layers extending from the surface up to 0.3 hPa. There are alternative satellite measurements of all the above chemical species, but we focus on this suite of measurements that provide a consistent record during the peak palm expansion, aboard the same observing platform.…”

“…fao.org/home/E (FAO, 2015). The OMI HCHO (González Abad et al, 2015), OMI NO 2 (Boersma et al, 2011), OMI Ozone Profile (Bak et al, 2015), and the MODIS AOD (Sayer et al, 2014) satellite observations used in this study are made available by NASA at http://disc.sci.gsfc.nasa.gov/.…”