气候变化领域集成服务门户(CCPortal): Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling

CCPortal

DOI	10.1029/2020JD033588
	Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling
	Gilliam R.C.; Herwehe J.A.; Bullock O.R.; Jr.; Pleim J.E.; Ran L.; Campbell P.C.; Foroutan H.
发表日期	2021
ISSN	2169897X
卷号	126 期号:10
英文摘要	The U.S. EPA (United States Environmental Protection Agency) is leveraging recent advances in meteorological modeling to construct an air quality modeling system to allow consistency from global to local scales. The Model for Prediction Across Scales-Atmosphere (MPAS-A or MPAS) has been developed by the National Center for Atmospheric Research (NCAR) as a global complement to the Weather Research and Forecasting model (WRF). Patterned after a regional coupled system with WRF, the Community Multiscale Air Quality (CMAQ) modeling system has been coupled within MPAS to explore global-to-local chemical transport modeling. Several options were implemented into MPAS for retrospective applications. Nudging-based data assimilation was added to support continuous simulations of past weather to minimize error growth that exists with a weather forecast configuration. The Pleim-Xiu land-surface model, the Asymmetric Convective Model 2 boundary layer scheme, and the Pleim surface layer scheme were added as the preferred options for retrospective air quality applications with WRF. Annual simulations were conducted using this EPA-enhanced MPAS configuration on two different mesh structures and compared against WRF. MPAS generally compares well with WRF over the conterminous United States. Errors in MPAS surface meteorology are comparable to WRF throughout the year. Precipitation statistics indicate MPAS performs slightly better than WRF. Solar radiation in MPAS is higher than WRF and measurements, suggesting fewer clouds in MPAS than WRF. Upper-air meteorology is well-simulated by MPAS, but errors are slightly higher than WRF. These comparisons lend confidence to use MPAS for retrospective air quality modeling and suggest ways it can be further improved in the future. Published 2021. This article is a U.S. Government work and is in the public domain in the USA.
英文关键词	CMAQ; FDDA; global retrospective modeling; MPAS; Pleim-Xiu LSM; WRF
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185214
作者单位	Center for Environmental Measurements and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States; Natural Resources Conservation Service, United States Department of Agriculture, Greensboro, NC, United States; Center for Spatial Information Science and Systems/Cooperative Institute for Satellite Earth System Studies, George Mason University, Fairfax, VA, United States; Department of Atmospheric and Oceanic Science/Cooperative Institute for Climate and Satellites-Maryland, University of Maryland, ARL/NOAA Affiliate, College Park, MD, United States; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, United States
推荐引用方式 GB/T 7714	Gilliam R.C.,Herwehe J.A.,Bullock O.R.,et al. Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling[J],2021,126(10).
APA	Gilliam R.C..,Herwehe J.A..,Bullock O.R..,Jr..,Pleim J.E..,...&Foroutan H..(2021).Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling.Journal of Geophysical Research: Atmospheres,126(10).
MLA	Gilliam R.C.,et al."Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling".Journal of Geophysical Research: Atmospheres 126.10(2021).