Literature DB >> 35664957

Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16.

Patrick C Campbell1,2, Youhua Tang1,2, Pius Lee1, Barry Baker1, Daniel Tong1,2, Rick Saylor1, Ariel Stein1, Jianping Huang3,4, Ho-Chun Huang3,4, Edward Strobach3,4, Jeff McQueen3, Li Pan3,4, Ivanka Stajner3, Jamese Sims5, Jose Tirado-Delgado5,6, Youngsun Jung5, Fanglin Yang3, Tanya L Spero7, Robert C Gilliam7.   

Abstract

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.

Entities:  

Year:  2022        PMID: 35664957      PMCID: PMC9157742          DOI: 10.5194/gmd-15-3281-2022

Source DB:  PubMed          Journal:  Geosci Model Dev        ISSN: 1991-959X            Impact factor:   6.892


  30 in total

1.  Short term effects of particulate matter on cause specific mortality: effects of lags and modification by city characteristics.

Authors:  A Zeka; A Zanobetti; J Schwartz
Journal:  Occup Environ Med       Date:  2005-10       Impact factor: 4.402

2.  Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011.

Authors:  Youhua Tang; Tianfeng Chai; Li Pan; Pius Lee; Daniel Tong; Hyun-Cheol Kim; Weiwei Chen
Journal:  J Air Waste Manag Assoc       Date:  2015-10       Impact factor: 2.235

3.  Recommendations on statistics and benchmarks to assess photochemical model performance.

Authors:  Christopher Emery; Zhen Liu; Armistead G Russell; M Talat Odman; Greg Yarwood; Naresh Kumar
Journal:  J Air Waste Manag Assoc       Date:  2016-12-14       Impact factor: 2.235

4.  Large contribution from anthropogenic warming to an emerging North American megadrought.

Authors:  A Park Williams; Edward R Cook; Jason E Smerdon; Benjamin I Cook; John T Abatzoglou; Kasey Bolles; Seung H Baek; Andrew M Badger; Ben Livneh
Journal:  Science       Date:  2020-04-17       Impact factor: 47.728

5.  Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere.

Authors:  Golam Sarwar; Brett Gantt; Kristen Foley; Kathleen Fahey; Tanya L Spero; Daiwen Kang; Rohit Mathur; Hosein Foroutan; Jia Xing; Tomás Sherwen; Alfonso Saiz-Lopez
Journal:  Atmos Environ (1994)       Date:  2019       Impact factor: 4.798

6.  The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation.

Authors:  K Wyat Appel; Jesse O Bash; Kathleen M Fahey; Kristen M Foley; Robert C Gilliam; Christian Hogrefe; William T Hutzell; Daiwen Kang; Rohit Mathur; Benjamin N Murphy; Sergey L Napelenok; Christopher G Nolte; Jonathan E Pleim; George A Pouliot; Havala O T Pye; Limei Ran; Shawn J Roselle; Golam Sarwar; Donna B Schwede; Fahim I Sidi; Tanya L Spero; David C Wong
Journal:  Geosci Model Dev       Date:  2021-05-20       Impact factor: 6.135

Review 7.  Pulmonary health effects of air pollution.

Authors:  Ozlem Kar Kurt; Jingjing Zhang; Kent E Pinkerton
Journal:  Curr Opin Pulm Med       Date:  2016-03       Impact factor: 3.155

8.  Evaluation of the offline-coupled GFSv15-FV3-CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States.

Authors:  Xiaoyang Chen; Yang Zhang; Kai Wang; Daniel Tong; Pius Lee; Youhua Tang; Jianping Huang; Patrick C Campbell; Jeff Mcqueen; Havala O T Pye; Benjamin N Murphy; Daiwen Kang
Journal:  Geosci Model Dev       Date:  2021-06-29       Impact factor: 6.892

Review 9.  Health, wealth, and air pollution: advancing theory and methods.

Authors:  Marie S O'Neill; Michael Jerrett; Ichiro Kawachi; Jonathan I Levy; Aaron J Cohen; Nelson Gouveia; Paul Wilkinson; Tony Fletcher; Luis Cifuentes; Joel Schwartz
Journal:  Environ Health Perspect       Date:  2003-12       Impact factor: 9.031

10.  New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model.

Authors:  Jonathan E Pleim; Limei Ran; Wyat Appel; Mark W Shephard; Karen Cady-Pereira
Journal:  J Adv Model Earth Syst       Date:  2019-10-24       Impact factor: 6.660

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