The Nitrogen Dioxide Surface-Level Annual Average Concentrations Product (SFC_NITROGEN_DIOXIDE_CONC) contains estimated global NO2 surface values derived using a Land Use Regression (LUR) model (based on 5220 NO2 monitors in 58 countries and land use variables) for the years 2010-2012. NO2 column densities from the Ozone Monitoring Instrument and MERRA-2 scale the concentrations to other years between 1990 and 2020. This product is part of NASA's Health and Air Quality Applied Sciences Team (HAQAST) effort.

The data are global over land and span the latitude range between 60 south and 75 north, gridded at 0.0083 degree resolution (array size is 43080 x 16200). Data variables include surface NO2, as well as latitude and longitude values. The data are written to files using the new version 4 netCDF format. The average file size is about 150 Megabytes.

The Nitrogen Dioxide Surface-Level Annual Average Concentrations Product (SFC_NITROGEN_DIOXIDE_CONC) contains estimated global NO2 surface values derived using a Land Use Regression (LUR) model (based on 5220 NO2 monitors in 58 countries and land use variables) for the years 2010-2012. NO2 column densities from the Ozone Monitoring Instrument and MERRA-2 scale the concentrations to other years between 1990 and 2020. This product is part of NASA's Health and Air Quality Applied Sciences Team (HAQAST) effort.The data are global over land and span the latitude range between 60 south and 75 north, gridded at 0.0083 degree resolution (array size is 43080 x 16200). Data variables include surface NO2, as well as latitude and longitude values. The data are written to files using the new version 4 netCDF format. The average file size is about 150 Megabytes.

Core data used in S5P-LNO2-Notebook repository for Zhang et al. (2023).

For the full S5P LNO2 product (June-August, 2019-2021), please check the Arctic lightning NO2 product (2019, 2020, 2021).

Reference

Zhang et al., Spaceborne observations of lightning NO2 in the Arctic, Environ. Sci. Technol.

Date files

CAMS

CAMS anthropogenic, ship, and soil NOx emissions (2018)

clean lightning

Two clean lightning cases of S5P LNO2 product.

Because it is ~1G per file, I just uploaded two files.

era5

Monthly CAPE (2019-2021 summer)

GFAS

GFAS wildfire NOx emission (2018-2021)

gld360

See 10.5281/zenodo.7528016 (need request)

lno2

Lightning NO2 emission product

LNO2_emiss.nc

LNO2_emiss_area.nc

LNOx profile of Luo et al. 2016

Gridded 0.1 x 0.1 LNO2 product

S5P_LNO2_grid.nc

vars: lno2, lno2_max, lno2_sum, lightning, and lightning_500hpa

S5P_LNO2_grid_product.nc

vars: no2, lno2, lightning_counts, and cloud_pressure_crb

LNO2 lifetime products

S5P_LNO2_lifetime.csv

S5P_LNO2_lifetime.nc (without lightning data, need request for original data)

LNO2 production products

S5P_LNO2_production.csv

S5P_LNO2_production.nc (without lightning data, need request for original data)

S5P_LNO2_production_**.csv (sensitivity tests)

Lightning within TROPOMI swath

swath_lightning_**.csv (need request)

merra2

MERRA2 AOD netcdf files

otd

OTD low resolution and high resolution monthly data

tropomi

Web scrapied S5P-PAL TROPOMI NO2 L2 swath shapes

tropomi_regrid_combine

Regridded summertime TROPOMI NO2 L2 data

viirs

VIIRS fire archive csv data

Total columnar ozone data from NASA's MERRA-2 model (1998–2023), OMI (2008–2017), and Dobson spectrophotometer (1998–2018) The archive also includes OMI retrieved NO2 and HCHO, MERRA-2-retrieved shortwave radiation (1998–2023) datasets.

This dataset contains North American surface and vertical air quality outputs from the GEOS-Chem global 3-D chemical transport model. We conducted a 2000-2017 simulation with GEOS-Chem model version 11-02c (http://www.geos-chem.org) using NASA MERRA-2 assimilated meteorological data (Gelaro et al., 2017). We use the nested North American version of GEOS-Chem at the native MERRA-2 0.5°x0.625° horizontal resolution over North America and adjacent oceans (10–70°N, 140–40°W) with dynamic boundary conditions from a global simulation with 4°x5°horizontal resolution. The simulation includes detailed NOx-hydrocarbon–aerosol chemistry as described in Travis et al. (2016), Fisher et al. (2016) and Marais et al. (2016). US anthropogenic emissions are distributed spatially following the NEI2011 inventory (EPA, 2018). NEI2011 is scaled for individual years using national annual totals (EPA, 2018), and we decrease non-EGU NOx emissions by 60%, as in Travis et al. (2016), for all years. Open fire emissions are from the daily Quick Fire Emissions Database (QFED; Darmenov and da Silva, 2013) with diurnal variability from the Western Regional Air Partnership (Air Sciences, 2005). Soil NOx emissions, including emissions from fertilizer application, are computed according to Hudman et al. (2012), with a 50% reduction in the midwestern US for summertime based on a previous comparison with OMI NO2 observations (Vinken et al., 2014). Lightning NOx emissions are described by Murray et al. (2012) with a horizontal distribution matching climatological observations of lightning flashes, interannual variability driven by MERRA-2 convection, and most of the release at the top of convective updrafts (Ott et al., 2010). The NOx yield per flash is 260 mol to the south of 35°N and 500 mol to the north (Hudman et al., 2007; Huntrieser et al., 2008, 2009; Ott et al., 2010; Travis et al., 2016).

On the basis of the original WRF Chem version, the Aerosol Physicochemical Process and Environmental Effects Team of the Institute of Earth Environment, Chinese Academy of Sciences has developed a parameterization scheme based on observation, which takes into account the heterogeneous reaction of SO2, and is coupled to the model to more reasonably simulate the temporal and spatial distribution of sulfate. Meanwhile, based on the developed source-oriented module, spatial sources tracing of pollutants was conducted. Based on this model, simulations were conducted on the Tibetan Plateau and surrounding areas from June to September 2012. The simulation results were validated using SO2 vertical column concentration data from MERRA-2 reanalysis, NO2 column concentration data from OMNO2d products, and sulfate aerosols observed at the Yulong Snow Mountain observation point. The output time resolution of the mode is 1 hour, the spatial resolution is 9 km × 9 km, the center latitude and longitude are 95 ° E and 25 ° N, and the number of grids is 600 × 480.