We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
OMI total bromine monoxide (OMBRO) data product: Algorithm, retrieval and measurement comparisons.
- Authors
Suleiman, Raid M.; Chance, Kelly; Xiong Liu; Abad, Gonzalo González; Kurosu, Thomas P.; Hendrick, Francois; Theys, Nicolas
- Abstract
This paper presents the retrieval algorithm for the operational Ozone Monitoring Instrument (OMI) total bromine monoxide (BrO) data product (OMBRO) developed at the Smithsonian Astrophysical Observatory (SAO), and shows some validation with correlative measurements and retrieval results. The algorithm is based on direct nonlinear least squares fitting of radiances from the spectral range 319.0-347.5 nm. Radiances are modeled from the solar irradiance, attenuated by contributions from BrO and interfering gases, and including rotational Raman scattering, additive and multiplicative closure polynomials, correction for Nyquist undersampling, and the average fitting residual spectrum. The retrieval uses albedo- and wavelength-dependent air mass factors (AMFs), which have been pre-computed using a single mostly stratospheric BrO profile. The BrO cross sections are multiplied by the wavelength- dependent AMFs before fitting so that the vertical column densities (VCDs) are retrieved directly. The fitting uncertainties of BrO VCDs typically vary between 4 and 7 x 1012 molecules cm-2 (~ 10-20 % of the measured BrO VCDs). The retrievals agree well with GOME-2 observations at simultaneous nadir overpasses and ground-based zenith-sky measurements at 25 Harestua, Norway, with mean biases less than 0.12 ± 0.76 x 1013 molecules cm-2 (3.2 ± 16.3 %). Global distribution and seasonal variation of OMI BrO are generally consistent with previous satellite observations. The retrievals show enhancement of BrO at US Great Salt Lake. It also shows significant BrO enhancement from the eruption of the Eyjafjallajökull volcano, although the BrO retrievals can be affected under high SO2 loading conditions by the sub-optimum choice of SO2 cross sections.
- Subjects
ALGORITHMS; ATMOSPHERIC ozone measurement; ATMOSPHERIC aerosols
- Publication
Atmospheric Measurement Techniques Discussions, 2018, p1
- ISSN
1867-8610
- Publication type
Article
- DOI
10.5194/amt-2018-1