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DOI	10.1029/2020EF001835
	Linear and Nonlinear Trend Analyzes in Global Satellite-Based Precipitation, 1998-2017
	Kazemzadeh, Majid; Hashemi, Hossein; Jamali, Sadegh; Uvo, Cintia B.; Berndtsson, Ronny; Huffman, George J.
通讯作者	Kazemzadeh, M (corresponding author), Univ Tehran, Fac Nat Resources, Tehran, Iran. ; Kazemzadeh, M ; Hashemi, H (corresponding author), Lund Univ, Fac Engn, Dept Water Resources Engn, Lund, Sweden. ; Hashemi, H (corresponding author), Lund Univ, Fac Social Sci, Ctr Adv Middle Eastern Studies, Lund, Sweden.
来源期刊	EARTHS FUTURE
EISSN	2328-4277
出版年	2021
卷号	9 期号:4
英文摘要	Precipitation varies spatio-temporally in amount, intensity, and frequency. Although, much research has been conducted on analyzing precipitation patterns and variation at the global scale, trend types have still not received much attention. This study developed a new polynomial-based model for detecting nonlinear and linear trends in a satellite precipitation product (TRMM 3B43) for the 1998-2017 period at a near-global scale. We used an automated trend classification method that detects significant trends and classifies them into linear and nonlinear (cubic, quadratic, and concealed) trend types in satellite-based precipitation at near-global, continental, and climate zone scales. We found that 12.3% of pixel-based precipitation time series across the globe have significant trend at 0.05 significance level (50% positive and 50% negative trends). In all continents except Asia, decreasing trends were found to cover larger areas than corresponding increasing trends. Regarding climate zone and precipitation trend change, our results indicate that a linear trend is dominant in the warm temperate (77.7%) and equatorial climates (80.4%) while the least linear change was detected in the polar climate (68.9%). The combined results of continental and climate zone scales indicate significant increasing trends in Asia and arid climate over the last 20 yr. Furthermore, positive trends were found to be more significant at the continental scale, particularly, in Asia relative to the climate zone scale. Linear change in precipitation (80%) was the most dominant trend observed as opposed to nonlinear (quadratic [11%] and cubic [9%]) trend types at the global scale.
英文关键词	global precipitation linear and nonlinear trend type TRMM
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:000644998000008
WOS关键词	RAINFALL VARIABILITY ; SURFACE-TEMPERATURE ; HYDROLOGICAL CYCLE ; INCREASING TREND ; ANALYSIS TMPA ; TRMM 3B42 ; PRODUCTS ; INDIA ; PERFORMANCE ; PACIFIC
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368882
作者单位	[Kazemzadeh, Majid] Univ Tehran, Fac Nat Resources, Tehran, Iran; [Kazemzadeh, Majid; Hashemi, Hossein; Uvo, Cintia B.; Berndtsson, Ronny] Lund Univ, Fac Engn, Dept Water Resources Engn, Lund, Sweden; [Hashemi, Hossein; Berndtsson, Ronny] Lund Univ, Fac Social Sci, Ctr Adv Middle Eastern Studies, Lund, Sweden; [Jamali, Sadegh] Lund Univ, Fac Engn, Dept Technol & Soc, Lund, Sweden; [Huffman, George J.] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
推荐引用方式 GB/T 7714	Kazemzadeh, Majid,Hashemi, Hossein,Jamali, Sadegh,et al. Linear and Nonlinear Trend Analyzes in Global Satellite-Based Precipitation, 1998-2017[J],2021,9(4).
APA	Kazemzadeh, Majid,Hashemi, Hossein,Jamali, Sadegh,Uvo, Cintia B.,Berndtsson, Ronny,&Huffman, George J..(2021).Linear and Nonlinear Trend Analyzes in Global Satellite-Based Precipitation, 1998-2017.EARTHS FUTURE,9(4).
MLA	Kazemzadeh, Majid,et al."Linear and Nonlinear Trend Analyzes in Global Satellite-Based Precipitation, 1998-2017".EARTHS FUTURE 9.4(2021).