A003-0014
Retrieval of bromine monoxide from the Ozone Mapping and Profiler Suite Nadir Mapper onboard the Suomi National Polar-orbiting Partnership satellite

Monday, 7 December 2020
Poster
Heesung Chong1, Gonzalo Gonzalez Abad2, Jhoon Kim3, Christopher Chan Miller2, Alfonso Saiz-Lopez4, Rafael P. Fernandez4,5, Caroline R Nowlan2, Xiong Liu2, Kelly Chance2, Ewan O'Sullivan2 and Amir Souri2, (1)Yonsei University, Department of Atmospheric Sciences, Seoul, Korea, Republic of (South), (2)Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States, (3)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (4)Institute of Physical-Chemistry Rocasolano (AC2-IQFR), CSIC, Department of Atmospheric Chemistry and Climate, Madrid, Spain, (5)National Research Council (ICB-CONICET), FCEN-UNCuyo, Institute for Interdisciplinary Science, Mendoza, Argentina
Abstract:
Bromine monoxide (BrO) is a trace gas that plays critical roles in the Earth’s atmospheric chemistry, mainly contributing to the depletion of ozone (O3). BrO has absorption features in the ultraviolet (UV) spectral region, which enables its detection by satellite instruments measuring backscattered UV radiation. This study presents BrO retrievals from spectra measured by the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM), launched in 2011 onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite. The physics of the BrO retrieval algorithm in this study follows those of the formaldehyde (HCHO) product of OMPS-NM and the BrO product of OMI (Ozone Monitoring Instrument), developed from the Smithsonian Astrophysical Observatory (SAO). To determine the optimal algorithm setting for the direct spectral fit, we examine BrO slant column densities (SCDs), SCD uncertainties, root-mean-square of residuals, and correlations between fitting parameters obtained from various fitting windows. The retrieval results demonstrate the capability of the OMPS-NM instrument for BrO observations and imply the possibility of continuing long-term global BrO monitoring achieved by applying this algorithm to multiple satellite sensors.