Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS) Field Campaign Report

Schmid, B.; Flynn, C.

doi:10.2172/1248492

Title: Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS) Field Campaign Report

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Abstract

Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS), a National Aeronautics and Space Administration (NASA) field campaign, was based out of Ellington Field in Houston, Texas, during August and September 2013. The study focused on pollution emissions and the evolution of gases and aerosols in deep convective outflow, and the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology, clouds, and climate. The project required three aircraft to accomplish these goals. The NASA DC-8 provided observations from near the surface to 12 km, while the NASA ER-2 provided high-altitude observations reaching into the lower stratosphere as well as important remote-sensing observations connecting satellites with observations from lower-flying aircraft and surface sites. The SPEC, Inc. Learjet obtained aerosol and cloud microphysical measurement in convective clouds and convective outflow.

Authors:

Schmid, B. ^[1]; Flynn, C. ^[1]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Publication Date:: Tue Mar 01 00:00:00 EST 2016

Research Org.:: DOE ARM Climate Research Facility, Washington, DC (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1248492

Report Number(s):: DOE/SC-ARM-15-057

DOE Contract Number:: AC05-7601830

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES

Citation Formats


                    Schmid, B., and Flynn, C. Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS) Field Campaign Report.  United States: N. p., 2016. 
        Web.  doi:10.2172/1248492.

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                    Schmid, B., & Flynn, C. Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS) Field Campaign Report.  United States.  https://doi.org/10.2172/1248492

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                    Schmid, B., and Flynn, C. 2016.  
        "Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS) Field Campaign Report".  United States.  https://doi.org/10.2172/1248492.  https://www.osti.gov/servlets/purl/1248492.

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@article{osti_1248492,

  title        = {Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS) Field Campaign Report},

  author       = {Schmid, B. and Flynn, C.},

  abstractNote = {Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS), a National Aeronautics and Space Administration (NASA) field campaign, was based out of Ellington Field in Houston, Texas, during August and September 2013. The study focused on pollution emissions and the evolution of gases and aerosols in deep convective outflow, and the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology, clouds, and climate. The project required three aircraft to accomplish these goals. The NASA DC-8 provided observations from near the surface to 12 km, while the NASA ER-2 provided high-altitude observations reaching into the lower stratosphere as well as important remote-sensing observations connecting satellites with observations from lower-flying aircraft and surface sites. The SPEC, Inc. Learjet obtained aerosol and cloud microphysical measurement in convective clouds and convective outflow.},

  doi          = {10.2172/1248492},

  url          = {https://www.osti.gov/biblio/1248492},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Mar 01 00:00:00 EST 2016},

  month        = {Tue Mar 01 00:00:00 EST 2016}

}

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