Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign
Siqi Ma et al.
Data sets
AirNow dataset https://files.airnowtech.org/?prefix=airnow
Air Quality System (AQS) https://aqs.epa.gov/aqsweb/airdata/download_files.html#Raw
LISTOS -- Long Island Sound Tropospheric Ozone Study https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos
Chemistry and Dynamics Branch https://avdc.gsfc.nasa.gov/pub/data/satellite/Aura/OMI
Model code and software
WRF source codes https://www2.mmm.ucar.edu/wrf/users/download/get_source.html
Community Multiscale Air Quality (CMAQ) Model Version 5.3.1 https://www.cmascenter.org/download/software/cmaq/cmaq_5-3-1.cfm?DB=TRUE
Sparse Matrix Operator Kerner Emissions (SMOKE) Modeling System Version 4.7 https://www.cmascenter.org/download/software/smoke/smoke_4-7.cfm?DB=TRUE