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

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2022-04-21 DOI:10.5194/gmd-15-3281-2022
Patrick C Campbell, Youhua Tang, Pius Lee, Barry Baker, Daniel Tong, Rick Saylor, Ariel Stein, Jianping Huang, Ho-Chun Huang, Edward Strobach, Jeff McQueen, Li Pan, Ivanka Stajner, Jamese Sims, Jose Tirado-Delgado, Youngsun Jung, Fanglin Yang, Tanya L Spero, Robert C Gilliam
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引用次数: 10

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.

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利用NOAA全球预报系统第16版开发和评估先进的国家空气质量预报能力。
美国国家航空航天局和美国国家海洋和大气管理局共同开发了一种名为有限体积立方球(FV3)的新型动力核心,用于美国国家海洋和大气管理局的全球预报系统(GFS)和区域天气和空气质量应用的有限区域模型。NOAA还将FV3GFS升级到第16版(GFSv16),该版本在模型配置、数据同化和基础模型物理方面,特别是在大气成分到天气反馈方面,取得了许多重大进展。在GFSv16升级的同时,我们将GFSv16与社区多尺度空气质量(CMAQ)模型结合起来,形成一个先进版本的国家空气质量预报能力(NAQFC),将继续保护美国的人类和生态系统健康。在这里,我们描述了FV3GFSv16耦合与“最先进的”CMAQ模型版本5.3.1的发展。GFS-CMAQ耦合是由NOAA-EPA大气化学耦合器(NACC)的开创性版本实现的,NACC将于2021年7月20日成为下一个运行的NAQFC系统(即NACC- cmaq)的主要组成部分。NACC-CMAQ拥有许多科学进步,包括基于卫星的数据采集技术,以改善土地覆盖和土壤特征,以及在线野火烟尘预测,这对于预测影响社会,生态系统和人类健康的危险事件期间的细颗粒物(PM2.5)浓度至关重要。gfs驱动的NACC-CMAQ模式在气象和化学预测方面与之前运行的NAQFC有显著不同,其中NACC-CMAQ的评估显示近地面臭氧和PM2.5的预测和日模式总体上有所改善,这两者都扩展到该系统的72 h (3 d)预测。
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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