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Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16.
Campbell, Patrick C; Tang, Youhua; Lee, Pius; Baker, Barry; Tong, Daniel; Saylor, Rick; Stein, Ariel; Huang, Jianping; Huang, Ho-Chun; Strobach, Edward; McQueen, Jeff; Pan, Li; Stajner, Ivanka; Sims, Jamese; Tirado-Delgado, Jose; Jung, Youngsun; Yang, Fanglin; Spero, Tanya L; Gilliam, Robert C.
Afiliação
  • Campbell PC; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • Tang Y; Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA.
  • Lee P; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • Baker B; Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA.
  • Tong D; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • Saylor R; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • Stein A; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • Huang J; Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA.
  • Huang HC; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • Strobach E; NOAA Air Resources Laboratory (ARL), College Park, MD, USA.
  • McQueen J; NOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
  • Pan L; I.M. Systems Group Inc., Rockville, MD, USA.
  • Stajner I; NOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
  • Sims J; I.M. Systems Group Inc., Rockville, MD, USA.
  • Tirado-Delgado J; NOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
  • Jung Y; I.M. Systems Group Inc., Rockville, MD, USA.
  • Yang F; NOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
  • Spero TL; NOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
  • Gilliam RC; I.M. Systems Group Inc., Rockville, MD, USA.
Geosci Model Dev ; 15(8): 3281-3313, 2022 Apr 21.
Article em En | MEDLINE | ID: mdl-35664957
A new dynamical core, known as the Finite-Volume Cubed-Sphere (FV3) and developed at both NASA and NOAA, is used in NOAA's Global Forecast System (GFS) and in limited-area models for regional weather and air quality applications. NOAA has also upgraded the operational FV3GFS to version 16 (GFSv16), which includes a number of significant developmental advances to the model configuration, data assimilation, and underlying model physics, particularly for atmospheric composition to weather feedback. Concurrent with the GFSv16 upgrade, we couple the GFSv16 with the Community Multiscale Air Quality (CMAQ) model to form an advanced version of the National Air Quality Forecasting Capability (NAQFC) that will continue to protect human and ecosystem health in the US. Here we describe the development of the FV3GFSv16 coupling with a "state-of-the-science" CMAQ model version 5.3.1. The GFS-CMAQ coupling is made possible by the seminal version of the NOAA-EPA Atmosphere-Chemistry Coupler (NACC), which became a major piece of the next operational NAQFC system (i.e., NACC-CMAQ) on 20 July 2021. NACC-CMAQ has a number of scientific advancements that include satellite-based data acquisition technology to improve land cover and soil characteristics and inline wildfire smoke and dust predictions that are vital to predictions of fine particulate matter (PM2.5) concentrations during hazardous events affecting society, ecosystems, and human health. The GFS-driven NACC-CMAQ model has significantly different meteorological and chemical predictions compared to the previous operational NAQFC, where evaluation of NACC-CMAQ shows generally improved near-surface ozone and PM2.5 predictions and diurnal patterns, both of which are extended to a 72 h (3 d) forecast with this system.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article