G. J. Frost
- ORCiD
- https://orcid.org/0000-0002-6312-9085
- OpenAlex ID
- https://openalex.org/A5016654513 (API record)
Associated Concepts [?]
- Environmental science
- Geography
- Physics
- Meteorology
- Geology
- Chemistry
- Organic chemistry
- Biology
- Atmospheric sciences
- Ecology
- Engineering
- Climatology
- Quantum mechanics
- Oceanography
- Astronomy
- Thermodynamics
- Air quality index
- Ozone
- Physical chemistry
- Aerospace engineering
- Air pollution
- Waste management
Authored Works
sorted by decreasing year, and then by display-name
- Towards the next generation of air quality forecast models with NOAA's High-Resolution Rapid-Refresh model coupled to chemistry (HRRR-Chem)
- Observational Constraints for Prediction of Wildfire Impacts on Air Quality in the United States
- NOAA's Global Aerosol Forecast Capabilities: GEFS-Aerosols and UFS-Aerosols
- MELODIES MONET - A New Community Diagnostic Tool for Evaluating Air Quality and Atmospheric Chemistry Models Against Observations
- High-resolution Modeling and Evaluation of Nitrogen Oxide Concentrations at Urban and Regional Scales During the June 2021 SUNVEx Campaign
- Air quality and health impact from oil and gas production over the Contiguous United States
- The Stratospheric Aerosol processes, Budget and Radiative Effects (SABRE) Airborne Science Mission
- Prediction of Wildfire Impacts on Air Quality in the United States
- On the Representation of Aerosol Effects in the NOAA Unified Forecast System for Weather and Sub-seasonal Prediction Applications
- NOAAs Geostationary Extended Observations (GeoXO). A Value Study Use Case Focused on NYC Air Quality
- NOAAs Geostationary Extended Observations (GeoXO) Atmospheric Composition Capabilities
- Modeling Methane and Ozone Precursor Emissions from Oil and Gas Production Regions during SONGNEX
- Experimental air quality forecasting with the Rapid-Refresh model coupled to chemistry (RAP-Chem)
- Evaluating and Improving Urban VOC Chemistry in Los Angeles using WRF-chem
- Developing Near Real-time Emissions over the US during the COVID-19 Pandemic
- Capability of NOAAs Global Aerosol Forecast Model (GEFS-Aerosols and UFS-Aerosols) in Forecasting Fire Events
- Analyzing GEFS-Aerosol annual budget to understand simulated BC, OC, Dust, Sea salt and Sulfate results in the model
Linked Co-Authors
- A. W. Rollins
- Barry Baker
- Brian McDonald
- C. Warneke
- Colby Francoeur
- D. K. Henze
- D. M. Murphy
- D. W. Fahey
- Daniel Tong
- E. C. Apel
- Eric James
- Georgios I. Gkatzelis
- Havala O. T. Pye
- Ivanka Štajner
- J. A. de Gouw
- J. B. Gilman
- J. Peischl
- James M. Wilczak
- Jordan L. Schnell
- Joseph B. Olson
- Karen H. Rosenlof
- L. K. Emmons
- M. Béla
- Matthew M. Coggon
- Meng Ling
- Patrick Campbell
- R. C. Cohen
- R. S. Hornbrook
- Rebecca R. Buchholz
- Rick Saylor
- Siyuan Wang
- T. D. Thornberry
- V. M. Escobar
- W. M. Angevine
- Xiaoyang Zhang
Linked Collaborating Institutions
- George Mason University, Virginia
- Harvard University, Massachusetts
- NOAA Center for Satellite Applications and Research
- NOAA Office of Oceanic and Atmospheric Research
- National Center for Atmospheric Research, Colorado
- National Oceanic and Atmospheric Administration, Boulder
- National Oceanic and Atmospheric Administration, Washington
- U.S. Environmental Protection Agency
- University of California, Berkeley
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Kansas
- University of Wisconsin, Madison
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