干旱区生态环境知识资源中心(Arid): Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data

Arid

DOI	10.1007/s00704-023-04797-3
	Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data
	Elahi, Ehsan; Abro, Mohammad Ilyas; Khaskheli, Murad Ali; Kandhro, Ghulam Abbas; Zehra, Tasneem; Ali, Sikandar; Shaikh, Muhammad Najam; Laghari, Barkat Ali; Hassan, Mahdi; Memon, Mushtaque Ahmed
通讯作者	Abro, MI
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2024
卷号	155 期号:4 页码:2819-2840
英文摘要	Reliable long-term precipitation estimation data holds immense hydrometeorological value due to its extensive spatial coverage and extended temporal records. Its availability is indispensable for managing critical aspects such as drinking water supply, agriculture, and various socioeconomic activities. However, in mountainous and arid regions, where the sustainable use of water resources is pivotal due to freshwater scarcity and erratic rainfall patterns, the suitability and performance of available precipitation datasets remain a pertinent question. The arid region of Balochistan, Pakistan, exemplifies this challenge, where more than 85% of the population resides in rural areas and relies heavily on farming and livestock for income. This study endeavors to assess the spatiotemporal characteristics of rainfall in Balochistan from 1980 to 2016 using multi-source data. Employing point-to-pixel techniques and statistical indicators at various temporal scales (daily, monthly, seasonal, and annual), we evaluated the performance of satellite-based datasets. Furthermore, categorical statistical indices, including Probability of Detection (POD), False-Alarm Ratio (FAR), and Critical Success Index (CSI), were employed to gauge each dataset's precipitation detection capabilities. Results of the study reveal that Aphro and Multi-Source Weighted-Ensemble Precipitation (MSWEP) datasets exhibit the highest correlation coefficients (0.96 and 0.92, respectively), while the Climate Prediction Center (CPC) dataset yields the lowest correlation (0.77). Notably, the maximum precipitation intensity was observed in Barkhan, whereas Nokkundi recorded the lowest. Spatially, the monsoon influence led to a shift in rainfall distribution from the southeast to the northeast. Balochistan experiences precipitation primarily during two distinct seasons: the summer monsoon (July to August) and the winter western disturbance (November to January). The monthly rainfall volume is predominantly contributed by rainfall events with an intensity exceeding 10 mm. This research underscores the critical significance of judiciously selecting precipitation data sources for informed water management policies in arid regions, addressing the pressing need for reliable water resource allocation and sustainability planning in areas highly vulnerable to climate variations.
英文关键词	Precipitation Weather extremes Multi-sources Balochistan Arid region Pakistan
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001129333600001
WOS关键词	PRECIPITATION PRODUCTS ; HYDROLOGICAL EVALUATION ; BALOCHISTAN PROVINCE ; SATELLITE ; PERFORMANCE ; GAUGE ; MICROWAVE ; NETWORK ; GSMAP ; BASIN
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/2XILL650/405783
推荐引用方式 GB/T 7714	Elahi, Ehsan,Abro, Mohammad Ilyas,Khaskheli, Murad Ali,et al. Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data[J],2024,155(4):2819-2840.
APA	Elahi, Ehsan.,Abro, Mohammad Ilyas.,Khaskheli, Murad Ali.,Kandhro, Ghulam Abbas.,Zehra, Tasneem.,...&Memon, Mushtaque Ahmed.(2024).Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data.THEORETICAL AND APPLIED CLIMATOLOGY,155(4),2819-2840.
MLA	Elahi, Ehsan,et al."Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data".THEORETICAL AND APPLIED CLIMATOLOGY 155.4(2024):2819-2840.