气候变化领域集成服务门户(CCPortal): Sensitivity of Meteorological Skill to Selection of WRF-Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS)

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DOI	10.1029/2019JD031971
	Sensitivity of Meteorological Skill to Selection of WRF-Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS)
	Abdi-Oskouei M.; Carmichael G.; Christiansen M.; Ferrada G.; Roozitalab B.; Sobhani N.; Wade K.; Czarnetzki A.; Pierce R.B.; Wagner T.; Stanier C.
发表日期	2020
ISSN	2169897X
卷号	125 期号:5
英文摘要	Ozone concentrations in excess of health-based standards occur along the coastline of Lake Michigan. A complex pattern of ozone precursor emissions interfaces with a complex meteorological environment, presenting a challenge for air quality management and simulation. Precursors are transported into a shallow, stable boundary layer over the lake. This is followed by ozone formation and transport back onshore through a combination of synoptic and lake breeze winds. In this study, we use measurements during the Lake Michigan Ozone Study 2017 (LMOS) to quantitatively evaluate the Weather Research and Forecasting with Chemistry (WRF-Chem) model at 4 km horizontal resolution for key features of high ozone episodes over Southern Lake Michigan, with a focus on meteorological performance. WRF-Chem showed good performance and successful reproduction of meteorological fields and clouds. Lake breeze model skill was inconsistent, with both good and poor performance depending on site and day. The combination of Noah land surface model and High-Resolution Rapid Refresh meteorology gave the best performance with the mean bias of −0.5 °C for temperature, −0.6 °C for dewpoint temperature, and −0.3 m/s for wind speed along the western coast of Lake Michigan during the daytime. For ozone, WRF-Chem was biased low (−4.4 ppb mean bias for daytime ozone) and underestimated hourly peak ozone. In some cases, ozone bias can be attributed to transport and lake breeze errors. Average ozone concentration showed minor (<2 ppb) sensitivity to changes to meteorology initial and boundary conditions or the land surface model. © 2020. American Geophysical Union. All Rights Reserved.
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/186135
作者单位	University Corporation for Atmospheric Research (UCAR), Boulder, CO, United States; Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, United States; Chemical and Biochemical Engineering, University of Iowa, Iowa City, IA, United States; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA, United States; National Center for Atmospheric Research (NCAR), Boulder, CO, United States; Department of Earth and Environmental Sciences, University of Northern Iowa, Cedar Falls, IA, United States; Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States
推荐引用方式 GB/T 7714	Abdi-Oskouei M.,Carmichael G.,Christiansen M.,et al. Sensitivity of Meteorological Skill to Selection of WRF-Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS)[J],2020,125(5).
APA	Abdi-Oskouei M..,Carmichael G..,Christiansen M..,Ferrada G..,Roozitalab B..,...&Stanier C..(2020).Sensitivity of Meteorological Skill to Selection of WRF-Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS).Journal of Geophysical Research: Atmospheres,125(5).
MLA	Abdi-Oskouei M.,et al."Sensitivity of Meteorological Skill to Selection of WRF-Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS)".Journal of Geophysical Research: Atmospheres 125.5(2020).