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Atmospheric Profiles of Hydroxyl and Formaldehyde

Full flight tracks for ATom missions 1

Circles mark the locations of the 139 selected profiles sampling the remote troposphere. Circle color indicates HCHO column densities integrated over each ATom profile. Data are overlain on global gridded OMI HCHO column densities averaged over the mission. From Wolfe et al. (2019) (see dataset references).

ATom: Column-Integrated Densities of Hydroxyl and Formaldehyde in Remote Troposphere

This new dataset from the Atmospheric Tomography Mission (ATom) provides profile-integrated column densities of formaldehyde (HCHO), hydroxyl (OH), and OH production rates, diel tropospheric mean OH concentrations, and uncertainties that were derived from direct observation data from selected profiles of mission 1 and 2 flights for the period July 29, 2016 to February 21, 2017. These calculated products were combined with coincident HCHO column retrievals from the Ozone Monitoring Instrument (OMI) to scale and extend the profile results to a global gridded (0.5 deg latitude x 0.625 deg longitude) product. In addition to OMI formaldehyde column data, model output products from the Global Modeling Initiative (GMI) including average tropopause height, scaling factor, column air mass, and column-average formaldehyde photolysis frequency are provided.

ATom is a NASA Earth Venture Suborbital-2 mission that studies the impact of human-produced air pollution on greenhouse gases and on chemically reactive gases in the atmosphere. See all data from ATom.

Data Citation: Wolfe, G.M., J.M. Nicely, J.M. St.Clair, T.F. Hanisco, J. Liao, L. Oman, W.H. Brune, D.O. Miller, A.B. Thames, G.G. Abad, T.B. Ryerson, J. Peischl, K. Mccain, C. Sweeney, P. Wennberg, M.J. Kim, J.D. Crounse, S.R. Hall, K. Ullmann, G.S. Diskin, T.P. Bui, C.S. Chang, and J.M. Dean-Day. 2019. ATom: Column-Integrated Densities of Hydroxyl and Formaldehyde in Remote Troposphere. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1669
Data Center: ORNL DAAC
Sponsor: EOSDIS