Details:

Journal Title:
Geoscientific Model Development
Personal Author:
Campbell, Patrick C. ; Tang, Youhua ; Lee, Pius, Baker, Barry ; Tong, Daniel ; Saylor, Rick ; ... More +
Campbell, Patrick C. ; Tang, Youhua ; Lee, Pius, Baker, Barry ; Tong, Daniel ; Saylor, Rick ; Stein, Ariel ; Huang, Jianping ; Huang, Ho-Chun ; McQueen, Jeff ; Pan, Li ; Stajner, Ivanka ; Sims, Jamese ; Tirado-Delgado, Jose ; Jung, Youngsun ; Yang, Fanglin ; Spero, Tanya L. ; Gilliam, Robert C. Less -
NOAA Program & Office:
OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) ; CISESS (Cooperative Institute for Satellite Earth System Studies) ; NWS (National Weather Service) ; EMC (Environmental Modeling Center) ; ... More +
OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) ; CISESS (Cooperative Institute for Satellite Earth System Studies) ; NWS (National Weather Service) ; EMC (Environmental Modeling Center) ; NCEP (National Centers for Environmental Prediction) ; OST (Office of Science and Technology) Less -
Description:
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 nearsurface ozone and PM2.5 predictions and diurnal patterns, both of which are extended to a 72 h (3 d) forecast with this system.
Keywords:
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Air Quality Mathematical Models
Source:
Geosci. Model Dev., 15, 3281–3313, 2022
DOI:
https://doi.org/10.5194/gmd-15-3281-2022
Format:
PDF
Document Type:
Journal Article
Funding:
Grant no. ​NA19NES4320002
License:
https://creativecommons.org/licenses/by/4.0/
Rights Information:
CC BY
Compliance:
Submitted
Main Document Checksum:
[+]
urn:sha256:a8f050d1a455761dfb435970f2f8ad4fd9dcd97096d3ed589becdcd8c0f6a7eb
Download URL:
https://repository.library.noaa.gov/view/noaa/48571/noaa_48571_DS1.pdf
File Type:

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