气候变化领域集成服务门户(CCPortal): Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan

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DOI	10.3390/rs12213650
	Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan
	Nawaz, Zain; Li, Xin; Chen, Yingying; Nawaz, Naima; Gull, Rabia; Elnashar, Abdelrazek
通讯作者	Chen, YY (通讯作者)
发表日期	2020
EISSN	2072-4292
卷号	12 期号:21
英文摘要	Spatial and temporal precipitation data acquisition is highly important for hydro-meteorological applications. Gridded precipitation products (GPPs) offer an opportunity to estimate precipitation at different time and resolution. Though, the products have numerous discrepancies that need to be evaluated against in-situ records. The present study is the first of its kind to highlight the performance evaluation of gauge based (GB) and satellite based (SB) GPPs at annual, winter, and summer monsoon scale by using multiple statistical approach during the period of 1979-2017 and 2003-2017, respectively. The result revealed that the temporal magnitude of all the GPPs was different and deviate up to 100-200 mm with overall spatial pattern of underestimation (GB product) and overestimation (SB product) from north to south gradient. The degree of accuracy of GB products with observed precipitation decreases with the increase in the magnitude of precipitation and vice versa for SB precipitation products. Furthermore, the observed precipitation revealed the positive trend with multiple turning points during the period 1979-2005. However, the gentle increase with no obvious break point has been detected during the period of 2005-2017. The large inter-annual variability and trends slope of the reference data series were well captured by Global Precipitation Climatology Centre (GPCC) and Tropical Rainfall Measuring Mission (TRMM) products and outperformed the relative GPPs in terms of higher R-2 values of >= 0.90 and lower values of estimated RME <= 25% at annual and summer monsoon season. However, Climate Research Unit (CRU) performed better during winter estimates as compared with in-situ records. In view of significant error and discrepancies, regional correction factors for each GPPs were introduced that can be useful for future concerned projects over the study region. The study highlights the importance of evaluation by the careful selection of potential GPPs for the future hydro-climate studies over the similar regions like Punjab Province.
关键词	ASIAN SUMMER MONSOON TEMPERATURE TRENDS RAINFALL TRENDS AIR-TEMPERATURE UNITED-STATES CLIMATE CHINA BASIN VARIABILITY DATASETS
英文关键词	gridded precipitation products; abrupt changes; trends; statistical indicators; agriculture; Pakistan
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000589360700001
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259844
推荐引用方式 GB/T 7714	Nawaz, Zain,Li, Xin,Chen, Yingying,et al. Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan[J]. 中国科学院青藏高原研究所,2020,12(21).
APA	Nawaz, Zain,Li, Xin,Chen, Yingying,Nawaz, Naima,Gull, Rabia,&Elnashar, Abdelrazek.(2020).Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan.REMOTE SENSING,12(21).
MLA	Nawaz, Zain,et al."Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan".REMOTE SENSING 12.21(2020).