Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要:
To investigate the ability of column (or partial column) information to represent surface air quality, results of linear regression analyses between surface mixing ratio data and column abundances for O3 and NO2 are presented for the July 2011 Maryland deployment of the DISCOVER-AQ mission. Data collected by the P-3B aircraft, ground-based Pandora spectrometers, Aura/OMI satellite instrument, and simulations for July 2011 from the CMAQ air quality model during this deployment provide a large and varied data set, allowing this problem to be approached from multiple perspectives. O3 columns typically exhibited a statistically significant and high degree of correlation with surface data (R2>0.64) in the P-3B data set, a moderate degree of correlation (0.16
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, United States; NASA Goddard Space Flight Center, United States; NASA Langley Research Center, United States; GESTAR, NASA Goddard Space Flight Center, United States; UMBC, NASA Goddard Space Flight Center, United States; NCAR Atmospheric Chemistry Division, United States; Harvard-Smithsonian Center for Astrophysics, United States; EPA, Office of Research and Development, United States; ESSIC-NASA Goddard Space Flight Center, United States; Maryland Department of the Environment, United States; NOAA Air Resources Laboratory, United States
Recommended Citation:
Flynn C,M,, Pickering K,et al. Relationship between column-density and surface mixing ratio: Statistical analysis of O3 and NO2 data from the July 2011 Maryland DISCOVER-AQ mission[J]. Atmospheric Environment,2014-01-01,92