Berkeley High Resolution (BEHR) OMI NO2 v3.0C - Gridded pixels, daily profiles
Zhu, Qindan; Laughner, Joshua; Cohen, Ron (2019), Berkeley High Resolution (BEHR) OMI NO2 v3.0C - Gridded pixels, daily profiles, Dryad, Dataset, https://doi.org/10.6078/D16X1T
The BEHR reprocesses tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) satellite using high resolution a priori NO2 profiles, surface reflectivity, and surface elevation data. This product uses NO2 profiles for the day retrieved, simulated by the WRF-Chem model at 12 km spatial resolution. The use of high spatial resolution NO2 profiles has been shown to better resolve urban/rural differences in NO2 column densities, and the use of day-to-day (rather than monthly average) profiles is especially important in applications that preferentially select observations upwind or downwind of a NOx source.
The BEHR OMI NO2 v3.0C product is an experimental branch of BEHR v3.0B (10.6078/D1WH41, 10.6078/D12D5X, 10.6078/D1RQ3G, 10.6078/D1N086). The time range covers May 13-June 23, 2012 and August 1-September 23, 2013.
The methods for the BEHR product v3.0C are described in detail in Qindan et al. (in prep).
Each month of BEHR data is stored as a .tar.gz file (i.e. a tar archive compressed with gzip). These can be decompressed using 7zip or (on Mac/Linux) the command "tar -xzvf <filename>", e.g. "tar -xzvf OMI_BEHR-DAILY_US_v3-0A_200501.tar.gz" will expand OMI_BEHR-DAILY_US_v3-0A_200501.tar.gz
In addition to downloading the full dataset or manually downloading individual files, a Python program is available at https://github.com/CohenBerkeleyLab/BEHRDownloader that can perform bulk downloads of a subset of the files, as well as automatically uncompress the tar files. See the Readme in that repo for further usage information.
For details on best practices for using the BEHR data, see the user guide PDF included in this repository.
National Aeronautics and Space Administration, Award: NNX14AK89H
National Aeronautics and Space Administration, Award: NNX15AE37G
National Aeronautics and Space Administration, Award: 80NSSC18K0624
Smithsonian Astrophysical Observatory, Award: SV3-83019