干旱区生态环境知识资源中心(Arid): Mapping weather risk-A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia

Arid

DOI	10.1016/j.cliser.2021.100251
	Mapping weather risk-A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia
	Eltazarov, Sarvarbek; Bobojonov, Ihtiyor; Kuhn, Lena; Glauben, Thomas
通讯作者	Eltazarov, S ; Bobojonov, I (corresponding author), Leibniz Inst Agr Dev Transit Econ IAMO, Dept Agr Markets Mkt & World Agr Trade, Theodor Lieser St 2, D-06120 Halle, Germany.
来源期刊	CLIMATE SERVICES
ISSN	2405-8807
出版年	2021
卷号	23
英文摘要	Index insurance has been introduced as a solution to tackle several challenges that prevail in the agricultural insurance sector of developing countries. One of the main implementation challenges in these countries is the lack of reliable weather data for index development and implementation. The increasing availability of satellite data could ease the constraints of data access. Meanwhile, the suitability of various satellite products for yield estimation across world regions has to undergo a thorough assessment. This study contributes to the literature by systematically analyzing the accuracy of some globally available satellite data, namely the Global Satellite Mapping of Precipitation (GSMaP), Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), and the Global Land Data Assimilation System (GLDAS) compared to ground-level weather information for 14 different indicators for the case of Uzbekistan. Our analysis indicates that those sources may provide the necessary data for an accessible and adequate climate service. However, a considerable risk of overestimation and underestimation depending on the source of satellite data may exist, especially for precipitation data in the conditions of Central Asia. Among the tested datasets, GSMaP showed a relatively better performance than CHIRPS in precipitation estimation for drought and flood detection. In order to reduce detection inaccuracy, the application of satellite weather products for index insurance is possible when temporal aggregation (e.g., monthly, seasonal) is considered. Globally available climate data could serve as a good source to establish index insurance products in Central Asia; however, a careful selection of source and index is required.
英文关键词	Climate service Weather index insurance Drought Flood Metrological drought index CHIRPS GSMaP GLDAS
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000703656300003
WOS关键词	CLIMATE-CHANGE ; QUANTILE REGRESSION ; DROUGHT INDEX ; MODEL SIMULATIONS ; RAINFALL ; INCOME ; OPPORTUNITIES ; TEMPERATURE ; VALIDATION ; ACCURACY
WOS类目	Environmental Sciences ; Environmental Studies ; 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/2XILL650/362881
作者单位	[Eltazarov, Sarvarbek; Bobojonov, Ihtiyor; Kuhn, Lena; Glauben, Thomas] Leibniz Inst Agr Dev Transit Econ IAMO, Dept Agr Markets Mkt & World Agr Trade, Theodor Lieser St 2, D-06120 Halle, Germany
推荐引用方式 GB/T 7714	Eltazarov, Sarvarbek,Bobojonov, Ihtiyor,Kuhn, Lena,et al. Mapping weather risk-A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia[J],2021,23.
APA	Eltazarov, Sarvarbek,Bobojonov, Ihtiyor,Kuhn, Lena,&Glauben, Thomas.(2021).Mapping weather risk-A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia.CLIMATE SERVICES,23.
MLA	Eltazarov, Sarvarbek,et al."Mapping weather risk-A multi-indicator analysis of satellite-based weather data for agricultural index insurance development in semi-arid and arid zones of Central Asia".CLIMATE SERVICES 23(2021).