气候变化领域集成服务门户(CCPortal): High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation

CCPortal

DOI	10.1016/j.atmosenv.2020.118004
	High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation
	Sicard P.; Crippa P.; De Marco A.; Castruccio S.; Giani P.; Cuesta J.; Paoletti E.; Feng Z.; Anav A.
发表日期	2021
ISSN	1352-2310
卷号	244
英文摘要	The representation of air quality and meteorology over Asia remains challenging for chemical transport models as a result of the complex interactions between the East Asian monsoons and the large uncertainty (in space and time) of the high anthropogenic emissions levels over the region. High spatial resolution models allow resolving small-scale features induced by the complex topography of this region. In this study, the Weather Research and Forecasting model with Chemistry (WRF-Chem) was used to simulate the spatial and seasonal variability of main physical and chemical variables over Asia for the year 2015 at 8-km horizontal resolution to enable resolving small-scale features induced by the region complex topography. The simulated atmospheric composition was evaluated against satellite retrievals (MOPITT, IASI + GOME2, MODIS and OMI) in addition to ground-based observations in China for the year 2015, while the meteorological variables were evaluated by several observational-based datasets (ERA5, CRU, MODIS, MTE). Results showed low to moderate seasonal biases for major meteorological variables, i.e. air temperature, relative humidity, precipitation, latent heat, sensible heat and snow cover fraction. Overall, WRF-Chem reproduced well the spatial and seasonal variability of lowermost tropospheric ozone content, total column carbon monoxide and aerosol optical depth, while large discrepancies were found for tropospheric nitrogen dioxide content, mainly during the warm season. In consistency with previous studies, the different biases between model-simulated and satellite-retrieved values can be mainly attributed to i) the large uncertainties in anthropogenic and natural nitrogen oxides emission estimates, as well as dust and sea salt emissions in the case of aerosol optical depth, and ii) some coarse parameterizations used to reproduce main small-scale features (e.g. meteorology, chemical processes, dry deposition to vegetation). Compared to ground-based observations, the WRF-Chem model reproduced well the mean annual cycle of surface nitrogen dioxide, ozone and fine particles concentrations in all seasons across China. Our results suggest that WRF-Chem provides reliable spatio-temporal patterns for most of the meteorological and chemical variables, adding thus confidence to its applicability in the context of air pollution risk assessment to human and ecosystems health. © 2020 Elsevier Ltd
关键词	Asia Regional climate model Remote sensing Satellite WRF-Chem
语种	英语
scopus关键词	Aerosols; Air quality; Atmospheric composition; Atmospheric humidity; Atmospheric temperature; Carbon monoxide; Health risks; Image resolution; Nitrogen oxides; Optical properties; Ozone; Particulate emissions; Radiometers; Risk assessment; Satellite imagery; Small satellites; Snow; Temperature measurement; Topography; Troposphere; Ultraviolet spectrometers; Uncertainty analysis; Air pollution risk assessments; Chemical transport models; Ground-based observations; Meteorological variables; Nitrogen oxides emission; Spatiotemporal patterns; Tropospheric nitrogen dioxide; Weather research and forecasting models; Weather forecasting; carbon monoxide; nitrogen dioxide; nitrogen oxide; ozone; air quality; annual cycle; anthropogenic effect; atmospheric modeling; atmospheric pollution; atmospheric transport; emission; GOME; IASI; instrumentation; MODIS; monsoon; MOPITT; physicochemical property; satellite altimetry; spatial resolution; aerosol; air pollutant; air pollution; air quality; air temperature; Article; Asia; chemical parameters; chemical reaction; chemistry; China; circannual rhythm; climate; controlled study; dry deposition; heat; human; humidity; meteorology; optical depth; physics; precipitation; priority journal; risk assessment; seasonal variation; simulation; snow cover; troposphere; weather research and forecasting model; Asia; China
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248792
作者单位	ARGANS, Sophia Antipolis, France; Department of Civil and Environmental Engineering and Geosciences, University of Notre Dame, United States; Italian National Agency for New Technologies, Energy and the Environment, C.R. Casaccia, S. Maria di Galeria, Italy; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, United States; Laboratoire Inter-universitaire des Systèmes Atmosphériques (LISA), UMR7583, Université Paris-Est Créteil et Université de Paris, CNRS, Créteil, France; National Research Council, Sesto Fiorentino, Italy; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Sicard P.,Crippa P.,De Marco A.,et al. High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation[J],2021,244.
APA	Sicard P..,Crippa P..,De Marco A..,Castruccio S..,Giani P..,...&Anav A..(2021).High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation.ATMOSPHERIC ENVIRONMENT,244.
MLA	Sicard P.,et al."High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation".ATMOSPHERIC ENVIRONMENT 244(2021).