干旱区生态环境知识资源中心(Arid): Cloud Cover over the Arabian Peninsula from Global Remote Sensing and Reanalysis Products

Arid

DOI	10.1016/j.atmosres.2020.104866
	Cloud Cover over the Arabian Peninsula from Global Remote Sensing and Reanalysis Products
	Yousef, Latifa A.; Temimi, Marouane; Molini, Annalisa; Weston, Michael; Wehbe, Youssef; Al Mandous, Abdulla
通讯作者	Yousef, LA
来源期刊	ATMOSPHERIC RESEARCH
ISSN	0169-8095
EISSN	1873-2895
出版年	2020
卷号	238
英文摘要	Clouds - their coverage, nature, and interactions with the energy budget of the planet - represent one of the primary sources of uncertainty in future climate prediction. Despite the crucial role of desert clouds in the distribution of water and energy budgets, their climatology is still largely incomplete. With arid regions projected to become dryer under global warming conditions, understanding the characteristics of their cloud cover can provide critical insights. In this work, cloud coverage was investigated over one of the Earth's most arid regions - the Arabian Peninsula. Four total cloud cover (FCC) products, namely the International Satellite Cloud Climatology Project H (ISCCP), the CM SAF Cloud, Albedo and Surface Radiation AVHRR 2 (CLARA) satellite datasets, the National Centers for Environmental Prediction - National Center for Atmospheric Research (NCEP-NCAR) Reanalysis (R-2) (NCEP) and the ECMWF Interim Re-Analysis (ERA) reanalyses, were used to construct a climatology of desert clouds over the peninsula between 1984 and 2009, accounting for the different products' uncertainties and limitations. Satellite retrievals and reanalysis fields were first validated against ground observations from the United Arab Emirates, for which homogeneity assessments were conducted. The validation was done using statistical indicators, including Normalized Root Mean Square Errors (nRMSE), relative biases (rBIAS), and correlation coefficients, on monthly and seasonal scales. The ISCCP dataset resulted in the highest correlations with the ground observations (overall 0.38) and the lowest nRMSE (overall 0.54), while CLARA had the lowest rBIAS (overall 0.02). All products showed discrepancies when compared to the ground observations, both annually and on a seasonal basis. When extended to the entire Arabian Peninsula, the satellite and reanalysis products showed decreasing spring and increasing summer (except for ISCCP) TCC evolution across the region. At inter-annual scales, the TCC over the peninsula showed a significant discontinuity in 1998. This shift could be linked to the forcing of the El Nino Southern Oscillation on water vapor transport over the region, as well as to documented artifacts in satellite retrievals and model outputs. These discrepancies are indicative of a need for detailed assessments to be made of the uncertainties existing in TCC data for the Arabian Peninsula. Plain Language Summary: Clouds represent a primary source of uncertainty in future climate predictions. This is particularly pronounced in dryland clouds, given their sporadic and intermittent nature. With global warming predicted to enhance aridification trends in terrestrial arid zones, historical cloudiness trends over arid and hyper arid regions are very important - yet their climatology to date is still largely incomplete. The quality of observations and/or model outputs are an important consideration, making validation and intercomparison assessments imperative. This work investigated cloud cover over the Arabian Peninsula, one of the most arid regions on the Earth. Four cloud cover datasets were used, derived from satellite measurements and atmospheric reanalysis model outputs. The selected study period was between 1984 and 2009. The four datasets were initially compared with observations taken at ground stations in the United Arab Emirates. The four products were then studied over the entire Arabian Peninsula. Results showed that cloud cover displayed marked seasonal characteristics and large inter-annual temporal evolution. An abrupt change in regional cloud cover time series was found to occur in 1998. This could be attributed to the forcing of the El Nino Southern Oscillation, although significant documented uncertainties in satellite products over this time span call for deeper investigations of this causal relation.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000525323500001
WOS关键词	SURFACE OBSERVATIONS ; SAUDI-ARABIA ; CLIMATE DATA ; HYDROLOGICAL CYCLE ; DUST STORMS ; ERA-INTERIM ; PATMOS-X ; RAINFALL ; ISCCP ; HOMOGENEITY
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324323
作者单位	[Yousef, Latifa A.; Temimi, Marouane; Molini, Annalisa; Weston, Michael; Wehbe, Youssef] Khalifa Univ, Civil Infrastruct & Environm Engn Dept, Abu Dhabi, U Arab Emirates; [Yousef, Latifa A.; Wehbe, Youssef; Al Mandous, Abdulla] Natl Ctr Meteorol, Abu Dhabi, U Arab Emirates
推荐引用方式 GB/T 7714	Yousef, Latifa A.,Temimi, Marouane,Molini, Annalisa,et al. Cloud Cover over the Arabian Peninsula from Global Remote Sensing and Reanalysis Products[J],2020,238.
APA	Yousef, Latifa A.,Temimi, Marouane,Molini, Annalisa,Weston, Michael,Wehbe, Youssef,&Al Mandous, Abdulla.(2020).Cloud Cover over the Arabian Peninsula from Global Remote Sensing and Reanalysis Products.ATMOSPHERIC RESEARCH,238.
MLA	Yousef, Latifa A.,et al."Cloud Cover over the Arabian Peninsula from Global Remote Sensing and Reanalysis Products".ATMOSPHERIC RESEARCH 238(2020).