Advancement of the National Air Quality Forecast Capability Using the NOAA Global Forecast System: Model Development and Community Applications

20 oct. 2021 14:52
7m
Oral Presentation 1. Operational Air Quality Forecasting Session 1

Ponente

Patrick Campbell (George Mason University/NOAA-ARL Affiliate)

Descripción

The next-generation National Air Quality Forecast Capability (NAQFC) in the U.S. now uses the advanced Finite Volume Cubed-Sphere (FV3) Global Forecast System (GFS) Version 16 to drive the Community Multiscale Air Quality (CMAQ) model version 5.3.1. Development of the NOAA-EPA Atmosphere Chemistry Coupler (NACC) formed the bridge between the GFSv16 driving meteorology and CMAQ model chemical predictions (i.e., “NACC-CMAQ”). The NACC-CMAQ predictions are further extended from 48 to 72-hours for the first time, and provide numerous scientific advances in atmospheric chemistry modeling to state and local forecasters. NACC-CMAQ became operational at NWS/NOAA in July 2021, thus replacing the previous NAQFC configuration based on the North American Mesoscale Model (NAM)-CMAQv5.0.2. Here we present recent developments of NACC-CMAQ and analysis against the prior operational NAQFC for predictions of summer season ozone (O3) and winter season fine particulate matter (PM2.5). Results show that the NACC-CMAQ model has significant changes to the meteorological and chemical predictions compared to the prior NAQFC, and that NACC-CMAQ has generally more realistic ground-level O3 and PM2.5 predictions and diurnal patterns. Parameterization of in-canopy effects (e.g., canopy shading and modified turbulence) in NACC-CMAQ will also be assessed for their impacts on air quality predictions. Early results show that inclusion of in-canopy processes can substantially reduce model biases for North American surface O3 forecasts, especially within contiguous forested regions of the eastern U.S. We also present the progress on migrating the GFSv16 data and NACC to the Amazon Web Services (AWS) Cloud and High Performance Computing (HPC) platform, which aims to facilitate community GFSv16-CMAQ applications for any regional domain across the globe.

Autores primarios

Dr Ariel Stein (NOAA-ARL) Barry Baker (NOAA Air Resources Lab/GMU) Patrick Campbell (George Mason University/NOAA-ARL Affiliate) Daniel Tong (Associate Professor) Dr Edward Strobach (NOAA National Centers for Environmental Prediction (NCEP)/I.M. Systems Group Inc.) Dr Fanglin Yang (NOAA National Centers for Environmental Prediction (NCEP)) Ho-Chun Huang (IMSG at NOAA/NWS/NCEP/EMC) Ivanka Stajner (NOAA/NWS) Dr Jack Chen (Environment and Climate Change Canada) Dr Jamese Sims (NOAA NWS/STI) Jeff McQueen (NOAA/NWS/NCEP) Dr Jianping Huang (NOAA National Centers for Environmental Prediction (NCEP)/I.M. Systems Group Inc.) Dr Jose Tirado-Delgado (NOAA NWS/STI/Science and Technology Corporation (STC)) Dr Li Pan (NOAA National Centers for Environmental Prediction (NCEP)/I.M. Systems Group Inc.) Dr Michael Neish (Environment and Climate Change Canada) Dr Paul Makar (Environment and Climate Change Canada) Dr Pius Lee (Retired (NOAA-ARL)) Rick Saylor (NOAA Air Resources Laboratory) Mr Robert Gilliam (U.S. Environmental Protection Agency) Ms Tanya Spero (U.S. Environmental Protection Agency) Youhua Tang (NOAA Air Resources Laboratory) Youngsun Jung

Presentation materials