Contact:

Patrick.C.Campbell@noaa.gov
307-760-5178

Current Research

• Atmosphere-biosphere interactions, in-canopy modeling, and implications for wildfire behavior, emissions, and air quality forecasting.

Honors, Awards and Professional Recognition

• NOAA OAR Certificate of Accommodation (2021), For Implementing and Upgrading NOAA’s NAQFC
• Top Paper Download for Campbell et al. (2018), JAMES, 2018-2019
• NRC Research Fellowship Award, NAS, 2016
• Research Spotlight for Campbell et al. (2014), AGU, 2014
• Antarctic Service Medal of the United States of America, NSF, 2012

Education

University of Wyoming 2008 – 2013
Doctor of Philosophy in Atmospheric Science
Dissertation: “The Climatology, Extent, and Impact of Stratospheric
Condensation Nuclei, including their formation in polar regions”

University of Massachusetts at Lowell 2004 – 2006
Master of Science in Environmental Studies – Atmospheric Science Concentration
Thesis: “A Short Range Ensemble Forecast Experiment on Jet Streaks to Improve Forecasters’ Model Diagnoses 2004 – 2006”

University of Massachusetts at Lowell 2000 – 2004
Bachelor of Science in Meteorology

Professional Experience

Research Faculty. Cooperative Institute for Satellite Earth System Studies (CISESS), Center for Spatial Information Science and Systems, George Mason University, ARL/NOAA Affiliate, College Park, MD, 2019 – Current

• Atmosphere-biosphere interactions, in-canopy modeling, and implications for wildfire behavior, emissions, and air quality forecasting.
• Research, development, and application of in-canopy vegetative parameterizations and models (e.g., “Canopy-App”; Codes: https://github.com/noaa-oar-arl/canopy-app) and implications for next-generation air quality forecasting under the Unified Forecast System (UFS) Rapid Refresh Forecast System (RRFS) – Community Multiscale Air Quality (CMAQ) model (“Online-CMAQ”) (Codes: https://github.com/noaa-oar-arl/AQM/).
• Lead on the development of an Amazon Web Services (AWS) “NACC-Cloud” product that allows users to  process and download model-ready NOAA GFSv16 geospatial and meteorological inputs for any user-defined regional CMAQ application worldwide (web-interface: https://nacc.arl.noaa.gov/nacc/).
• Lead developer of the Global Forecast System (GFS)-driven NOAA-EPA Atmosphere Chemistry Coupler (NACC) for the Advanced National Air Quality Forecasting Capability (NAQFC) (Codes: https://github.com/noaa-oar-arl/NACC; https://github.com/noaa-oar-arl/NAQFC)
• Research and development on the NOAA Emission and eXchange Unified System (NEXUS) and connections with next-generation regional and global atmospheric aerosol and composition forecast models (Code: https://github.com/noaa-oar-arl/NEXUS)
• Research on emissions processes and modeling, reactive nitrogen atmospheric deposition and composition, air quality, and implications of air-surface exchange processes on air quality forecasting.
• Research on coupled meteorological, photochemical, and chemical transport/air quality modeling.

Post-Doc Research Associate. Department of Atmospheric and Oceanic Science/Cooperative Institute for Climate and Satellites-Maryland, University of Maryland, ARL/NOAA Affiliate, College Park, MD, 2018 – 2019

• Research, development, and evaluation of the Advanced National Air Quality Forecasting Capability (NAQFC).
• Research in coupled meteorological, photochemical, and chemical transport/air quality modeling.
• Air quality, deposition, and land-surface flux model development in connection with regional and next-generation global air quality forecast models.

NAS/NRC Post-Doc Research Associate. U.S. Environmental Protection Agency, National Exposure Research Laboratory, Durham, NC, 2016 – 2018

• Coupled meteorological, photochemical, and chemical transport/air quality modeling
• Air quality, deposition, and land-surface flux model development in connection with air quality models; including the WRF/Noah-CMAQ land surface model development
• Coupled air quality model evaluation and current-to-future year climate-air quality applications for the U.S.
• Advanced model developments and applications of both offline and coupled versions of WRF/CMAQ and a “next generation” air quality model using MPAS

Post-Doctoral Research Scholar. North Carolina State University, Air Quality Forecasting Laboratory, Raleigh, NC, 2014 – 2016

• Global to regional air quality and climate modeling
• Atmospheric chemistry and aerosol modeling
• Regional emissions modeling using the SMOKE model
• Global emissions processing for regional air quality modeling applications
• Global-to-regional coupled air quality model evaluation and applications
• Model proficiencies in CESM, WRF, WRF/CMAQ, WRF/Chem, and WRF/CAM5