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Opportunity at National Oceanic & Atmospheric Administration (NOAA)

Air Quality Modeling

Location

Earth System Research Laboratory, Chemical Sciences Division

RO# Location
26.05.03.B6616 Boulder, CO 80305

Advisers

Name E-mail Phone
McKeen, Stuart A. stuart.a.mckeen@noaa.gov 303-497-5622

Description

Our research focuses on the development of air quality models and their evaluation. NOAA/ESRL modeling activities currently support air quality forecasting from local to continental scales; fundamental research in atmospheric photochemistry and transport related to air pollution; and the direct and indirect effects of pollution, and natural emissions on regional climate and weather. A main objective of the modeling effort is to relate laboratory-based science associated with aerosol and ozone chemistry to measurements of photochemical, aerosol, and radiative quantities obtained during intensive field campaigns. Model development involves the coding and formulation of photochemical and physical processes within Eulerian based regional scale air quality models, and the development and testing of important model components such as emission inventories and radiative transfer. The evaluation aspect refers to the critical assessment of air quality forecasts, ancillary model results, and model components through comparisons to measurements collected during field studies by members of the Chemical Sciences Division and other observational platforms such as surface networks and satellites.

 

Reference

McKeen SA, et al: Journal of Geophysical Research 112: D10S20, 2007

 

Keywords:
Aerosols; Photochemical modeling; Air quality; Regional climate; Air quality forecasting; Air pollution; Pollution forecasting; Atmospheric chemistry;

Eligibility

Citizenship:  Open to U.S. citizens, permanent residents and non-U.S. citizens
Level:  Open to Postdoctoral and Senior applicants

Stipend

Base Stipend Travel Allotment Supplementation
$60,000.00 $2,000.00

Experience Supplement:
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.

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