干旱区生态环境知识资源中心(Arid): The UAE Cloud Seeding Program: A Statistical and Physical Evaluation

Arid

DOI	10.3390/atmos12081013
	The UAE Cloud Seeding Program: A Statistical and Physical Evaluation
	Al Hosari, Taha; Al Mandous, Abdulla; Wehbe, Youssef; Shalaby, Abdeltawab; Al Shamsi, Noor; Al Naqbi, Hajer; Al Yazeedi, Omar; Al Mazroui, Alya; Farrah, Sufian
通讯作者	Wehbe, Y (corresponding author), Natl Ctr Meteorol, UAE Res Program Rain Enhancement Sci, POB 4815, Abu Dhabi, U Arab Emirates.
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2021
卷号	12 期号:8
英文摘要	Operational cloud seeding programs have been increasingly deployed in several countries to augment natural rainfall amounts, particularly over water-scarce and arid regions. However, evaluating operational programs by quantifying seeding impacts remains a challenging task subject to complex uncertainties. In this study, we investigate seeding impacts using both long-term rain gauge records and event-based weather radar retrievals within the framework of the United Arab Emirates (UAE) National Center of Meteorology's operational cloud seeding program. First, seasonal rain gauge records are inter-compared between unseeded (1981-2002) and seeded (2003-2019) periods, after which a posteriori target/control regression is developed to decouple natural and seeded rainfall time series. Next, trend analyses and change point detection are carried out over the July-October seeding periods using the modified Mann-Kendall (mMK) test and the Cumulative Sum (CUSUM) method, respectively. Results indicate an average increase of 23% in annual surface rainfall over the seeded target area, along with statistically significant change points detected during 2011 with decreasing/increasing rainfall trends for pre-/post-change point periods, respectively. Alternatively, rain gauge records over the control (non-seeded) area show non-significant change points. In line with the gauge-based statistical findings, a physical analysis using an archive of seeded (65) and unseeded (87) storms shows enhancements in radar-based storm properties within 15-25 min of seeding. The largest increases are recorded in storm volume (159%), area cover (72%), and lifetime (65%). The work provides new insights for assessing long-term seeding impacts and has significant implications for policy- and decision-making related to cloud seeding research and operational programs in arid regions.
英文关键词	cloud seeding evaluation time series regression change point rain gauge radar
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:000688897000001
WOS关键词	MICROPHYSICAL PROPERTIES ; PRECIPITATION PRODUCTS ; RAINFALL ; AEROSOL ; TRACKING ; IDENTIFICATION ; VARIABILITY ; CONSISTENCY ; TREND ; TITAN
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362632
作者单位	[Al Hosari, Taha; Al Mandous, Abdulla; Shalaby, Abdeltawab; Al Shamsi, Noor; Al Naqbi, Hajer; Al Yazeedi, Omar] Natl Ctr Meteorol, Dept Res Dev & Training, POB 4815, Abu Dhabi, U Arab Emirates; [Al Mandous, Abdulla; Wehbe, Youssef; Al Mazroui, Alya; Farrah, Sufian] Natl Ctr Meteorol, UAE Res Program Rain Enhancement Sci, POB 4815, Abu Dhabi, U Arab Emirates
推荐引用方式 GB/T 7714	Al Hosari, Taha,Al Mandous, Abdulla,Wehbe, Youssef,et al. The UAE Cloud Seeding Program: A Statistical and Physical Evaluation[J],2021,12(8).
APA	Al Hosari, Taha.,Al Mandous, Abdulla.,Wehbe, Youssef.,Shalaby, Abdeltawab.,Al Shamsi, Noor.,...&Farrah, Sufian.(2021).The UAE Cloud Seeding Program: A Statistical and Physical Evaluation.ATMOSPHERE,12(8).
MLA	Al Hosari, Taha,et al."The UAE Cloud Seeding Program: A Statistical and Physical Evaluation".ATMOSPHERE 12.8(2021).