A031-0015
Ground-based networks in support of air quality satellite missions

Tuesday, 8 December 2020
Poster
Vanessa Caicedo, Joint Center for Earth Systems Technology, UMBC/GSFC, Baltimore, MD, United States, Ruben Delgado, Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, United States, James Szykman, US EPA, ORD, National Exposure Research Laboratory, Hampton, VA, United States, Kevin Cavender, EPA, Durham, United States, Luke Valin, Environmental Protection Agency Research Triangle Park, Research Triangle Park, NC, United States, David Williams, US Environmental Protection Agency, Center for Environmental Measurements and Modeling, Durham, NC, United States, Barry L Lefer, University of Houston, Houston, TX, United States, Ellsworth Judd Welton, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Thomas F Hanisco, NASA GSFC, Greenbelt, MD, United States and Zen Mariani, University of Toronto, Toronto, ON, Canada
Abstract:
In order to distinguish and validate the lower tropospheric or ground-level concentrations from satellite column observations, ground-based data sets are key for the next generation of geostationary air quality data. Measurements from ground-based remote sensing networks have been extensively explored as critical data sets to validate and verify satellite column data, while in-situ ground data sets serve to validate extracted ground-level concentrations from satellite measurements, or can serve as surrogate validation measurements with given assumptions.

The Environmental Protection Agency (EPA) redesigned Photochemical Assessment Monitoring Sites network (PAMS) now includes a new focus on planetary boundary layer (ceilometer) profiling measurements and hourly mixing layer heights (MLH), along with a requirement for Enhanced Monitoring Plans (EPAMS) in certain locations that includes the PANDORA sun photometer. A combination of ground-based measurements (profiling and in-situ measurements) provide a 3-dimensional comprehensive meteorological and chemical data set for the validation of satellite lower tropospheric measurements. Here we present on current efforts between the University of Maryland, Baltimore County, the U.S. Environmental Protection Agency, and NASA on ground-based networks for support of air quality global observing systems validation and applications (http://alg.umbc.edu/ceilometer-network). We introduce the spatial coverage, characteristics, and products of the ground-based network and their potential use in support of air quality satellite observations.