气候变化领域集成服务门户(CCPortal): Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US

CCPortal

DOI	10.5194/acp-21-11013-2021
	Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview
	Huang M.; Crawford J.H.; Digangi J.P.; Carmichael G.R.; Bowman K.W.; Kumar S.V.; Zhan X.
发表日期	2021
ISSN	1680-7316
起始页码	11013
结束页码	11040
卷号	21 期号:14
英文摘要	This study evaluates the impact of satellite soil moisture (SM) data assimilation (DA) on regional weather and ozone (O3) modeling over the southeastern US during the summer. Satellite SM data are assimilated into the Noah land surface model using an ensemble Kalman filter approach within National Aeronautics and Space Administration's Land Information System framework, which is semicoupled with the Weather Research and Forecasting model with online Chemistry (WRF-Chem; standard version 3.9.1.1). The DA impacts on the model performance of SM, weather states, and energy fluxes show strong spatiotemporal variability. Dense vegetation and water use from human activities unaccounted for in the modeling system are among the factors impacting the effectiveness of the DA. The daytime surface O3 responses to the DA can largely be explained by the temperature-driven changes in biogenic emissions of volatile organic compounds and soil nitric oxide, chemical reaction rates, and dry deposition velocities. On a near-biweekly timescale, the DA modified the mean daytime and daily maximum 8gh average surface O3 by up to 2-3gppbv, with the maximum impacts occurring in areas where daytime surface air temperature most strongly (i.e., by g1/42gK) responded to the DA. The DA impacted WRF-Chem upper tropospheric O3 (e.g., for its daytime-mean, by up to 1-1.5gppbv) partially via altering the transport of O3 and its precursors from other places as well as in situ chemical production of O3 from lightning and other emissions. Case studies during airborne field campaigns suggest that the DA improved the model treatment of convective transport and/or lightning production. In the cases that the DA improved the modeled SM, weather fields, and some O3-related processes, its influences on the model's O3 performance at various altitudes are not always as desirable. This is in part due to the uncertainty in the model's key chemical inputs, such as anthropogenic emissions, and the model representation of stratosphere-troposphere exchanges. This can also be attributable to shortcomings in model parameterizations (e.g., chemical mechanism, natural emission, photolysis and deposition schemes), including those related to representing water availability impacts. This study also shows that the WRF-Chem upper tropospheric O3 response to the DA has comparable magnitudes with its response to the estimated US anthropogenic emission changes within 2 years. As reductions in anthropogenic emissions in North America would benefit the mitigation of O3 pollution in its downwind regions, this analysis highlights the important role of SM in quantifying air pollutants' source-receptor relationships between the US and its downwind areas. It also emphasizes that using up-to-date anthropogenic emissions is necessary for accurately assessing the DA impacts on the model performance of O3 and other pollutants over a broad region. This work will be followed by a Noah-Multiparameterization (with dynamic vegetation)-based study over the southeastern US, in which selected processes including photosynthesis and O3 dry deposition will be the foci. © 2021 Min Huang et al.
语种	英语
scopus关键词	anthropogenic effect; atmospheric chemistry; atmospheric modeling; data assimilation; ozone; parameterization; satellite data; soil moisture; weather; United States
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246716
作者单位	College of Science, George Mason University, Fairfax, VA, United States; NASA Langley Research Center, Hampton, VA, United States; College of Engineering, University of Iowa, Iowa City, IA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; NOAA National Environmental Satellite, Data,and Information Service, College Park, MD, United States
推荐引用方式 GB/T 7714	Huang M.,Crawford J.H.,Digangi J.P.,et al. Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview[J],2021,21(14).
APA	Huang M..,Crawford J.H..,Digangi J.P..,Carmichael G.R..,Bowman K.W..,...&Zhan X..(2021).Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(14).
MLA	Huang M.,et al."Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.14(2021).