干旱区生态环境知识资源中心(Arid): Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean

Arid

DOI	10.3390/rs12213473
	Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean
	Tsarpalis, Konstantinos; Katsafados, Petros; Papadopoulos, Anastasios; Mihalopoulos, Nikolaos
通讯作者	Katsafados, P
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:21
英文摘要	In this study, the performance and characteristics of the advanced cloud nucleation scheme of Fountoukis and Nenes, embedded in the fully coupled Weather Research and Forecasting/Chemistry (WRF/Chem) model, are investigated. Furthermore, the impact of dust particles on the distribution of the cloud condensation nuclei (CCN) and the way they modify the pattern of the precipitation are also examined. For the simulation of dust particle concentration, the Georgia Tech Goddard Global Ozone Chemistry Aerosol Radiation and Transport of Air Force Weather Agency (GOCART-AFWA) is used as it includes components for the representation of dust emission and transport. The aerosol activation parameterization scheme of Fountoukis and Nenes has been implemented in the six-class WRF double-moment (WDM6) microphysics scheme, which treats the CCN distribution as a prognostic variable, but does not take into account the concentration of dust aerosols. Additionally, the presence of dust particles that may facilitate the activation of CCN into cloud or rain droplets has also been incorporated in the cumulus scheme of Grell and Freitas. The embedded scheme is assessed through a case study of significant dust advection over the Western Mediterranean, characterized by severe rainfall. Inclusion of CCN based on prognostic dust particles leads to the suppression of precipitation over hazy areas. On the contrary, precipitation is enhanced over areas away from the dust event. The new prognostic CCN distribution improves in general the forecasting skill of the model as bias scores, the root mean square error (RMSE), false alarm ratio (FAR) and frequencies of missed forecasts (FOM) are limited when modelled data are compared against satellite, LIDAR and aircraft observations.
英文关键词	mineral dust cloud microphysics cloud condensation nuclei (CCN) precipitation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000589270700001
WOS关键词	CONDENSATION NUCLEI CCN ; MINERAL DUST ; PART I ; PRECIPITATION INTERACTIONS ; BULK PARAMETERIZATION ; MODEL DESCRIPTION ; SIZE DISTRIBUTION ; AEROSOL MODEL ; IMPACT ; CYCLE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327502
作者单位	[Tsarpalis, Konstantinos; Katsafados, Petros] Harokopio Univ Athens, Dept Geog, El Venizelou Str 70, GR-17671 Kallithea, Greece; [Papadopoulos, Anastasios] Hellen Ctr Marine Res, Inst Marine Biol Resources & Inland Waters, 46-7 Km Athens Sounion Ave, GR-19013 Anavissos Attikis, Greece; [Mihalopoulos, Nikolaos] Univ Crete, Chem Dept, Environm Chem Proc Lab, Iraklion 70013, Greece; [Mihalopoulos, Nikolaos] Natl Observ Athens NOA, Inst Environm Res & Sustainable Dev, GR-15236 Athens, Greece
推荐引用方式 GB/T 7714	Tsarpalis, Konstantinos,Katsafados, Petros,Papadopoulos, Anastasios,et al. Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean[J],2020,12(21).
APA	Tsarpalis, Konstantinos,Katsafados, Petros,Papadopoulos, Anastasios,&Mihalopoulos, Nikolaos.(2020).Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean.REMOTE SENSING,12(21).
MLA	Tsarpalis, Konstantinos,et al."Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean".REMOTE SENSING 12.21(2020).