气候变化领域集成服务门户(CCPortal): Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog

CCPortal

DOI	10.5194/acp-22-319-2022
	Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog
	Boutle, Ian; Angevine, Wayne; Bao, Jian-Wen; Bergot, Thierry; Bhattacharya, Ritthik; Bott, Andreas; Duconge, Leo; Forbes, Richard; Goecke, Tobias; Grell, Evelyn; Hill, Adrian; Igel, Adele L.; Kudzotsa, Innocent; Lac, Christine; Maronga, Bjorn; Romakkaniemi, Sami; Schmidli, Juerg; Schwenkel, Johannes; Steeneveld, Gert-Jan; Vie, Benoit
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	319
结束页码	333
卷号	22 期号:1 页码:15
英文摘要	An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES) models is presented for a radiation fog case study inspired by the Local and Non-local Fog Experiment (LANFEX) field campaign. Seven of the SCMs represent single-column equivalents of operational numerical weather prediction (NWP) models, whilst three are research-grade SCMs designed for fog simulation, and the LESs are designed to reproduce in the best manner currently possible the underlying physical processes governing fog formation. The LES model results are of variable quality and do not provide a consistent baseline against which to compare the NWP models, particularly under high aerosol or cloud droplet number concentration (CDNC) conditions. The main SCM bias appears to be toward the overdevelopment of fog, i.e. fog which is too thick, although the inter-model variability is large. In reality there is a subtle balance between water lost to the surface and water condensed into fog, and the ability of a model to accurately simulate this process strongly determines the quality of its forecast. Some NWP SCMs do not represent fundamental components of this process (e.g. cloud droplet sedimentation) and therefore are naturally hampered in their ability to deliver accurate simulations. Finally, we show that modelled fog development is as sensitive to the shape of the cloud droplet size distribution, a rarely studied or modified part of the microphysical parameterisation, as it is to the underlying aerosol or CDNC.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000740962600001
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/273311
作者单位	Met Office - UK; University of Colorado System; University of Colorado Boulder; National Oceanic Atmospheric Admin (NOAA) - USA; National Oceanic Atmospheric Admin (NOAA) - USA; Centre National de la Recherche Scientifique (CNRS); Meteo France; Universite de Toulouse; Goethe University Frankfurt; University of Bonn; European Centre for Medium-Range Weather Forecasts (ECMWF); University of California System; University of California Davis; Finnish Meteorological Institute; Leibniz University Hannover; Wageningen University & Research
推荐引用方式 GB/T 7714	Boutle, Ian,Angevine, Wayne,Bao, Jian-Wen,et al. Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog[J],2022,22(1):15.
APA	Boutle, Ian.,Angevine, Wayne.,Bao, Jian-Wen.,Bergot, Thierry.,Bhattacharya, Ritthik.,...&Vie, Benoit.(2022).Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(1),15.
MLA	Boutle, Ian,et al."Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.1(2022):15.