annual average model predicted concentrations without and with DMS chemistry

Description

COMBINE_CONC_A0_2016_without_DMS_AVG.tar – annual average model predicted concentrations without DMS chemistry COMBINE_CONC_A_2016_annual_AVG.tar – annual average model predicted concentrations with DMS chemistry GRIDCRO2D.108NHEMI2.44L.20060101.tar - file containing latitude and longitude of model grid-cell Model: The Community Multiscale Air Quality (CMAQv53) was used. It is available at https://www.epa.gov/cmaq. This dataset is associated with the following publication: Gantt, B., K. Foley, B. Henderson, H. Pye, K. Fahey, D. Kang, R. Mathur, J. Zhao, Y. Zhang, Q. Li, A. Saiz-Lopez, and G. Sarwar. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244: 117961, (2020).

Resources

Name Format Description Link
45 COMBINE_CONC_A0_2016_without_DMS_AVG.tar https://pasteur.epa.gov/uploads/10.23719/1519112/COMBINE_CONC_A0_2016_without_DMS_AVG.tar
45 GRIDCRO2D.108NHEMI2.44L.20160101.tar https://pasteur.epa.gov/uploads/10.23719/1519112/GRIDCRO2D.108NHEMI2.44L.20160101.tar
45 COMBINE_CONC_A_2016_with_DMS_AVG.tar https://pasteur.epa.gov/uploads/10.23719/1519112/COMBINE_CONC_A_2016_with_DMS_AVG.tar

Tags

  • sulfate
  • seawater
  • sulfur-dioxide
  • emissions
  • dimethylsulfide

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