{"title":"黄土高原近40年多卫星降水产品适用性评价","authors":"Rui Liu , Liu Yang , Zhengguo Shi , Mengdao Xing","doi":"10.1016/j.jag.2025.104634","DOIUrl":null,"url":null,"abstract":"<div><div>The study of drought and precipitation evolution due to global warming has garnered significant attention from the scientific community in recent years. The Loess Plateau (LP), a typical dryland agricultural area, has its agricultural development influenced by precipitation. However, given its location in the hinterland of the Eurasian continent, the complex terrain, and the severe lack of rain gauges, the region faces challenges in accurate precipitation measurement. Multi-satellite precipitation products (MPPs), with their wide coverage and high resolution, can potentially address this deficiency, making it crucial to assess their applicability on the LP. This study evaluates the results of the inversion of LP precipitation changes by MPPs, the factors influencing the precipitation changes, and the dynamical mechanisms affecting LP precipitation evolution. The findings indicate that the CPC is the most suitable product for inverting daily precipitation on the LP, with the highest correlation coefficient of 0.774 between CPC and observations, and the highest Probability of Detection of 0.667. This is attributed to the stable data sources and excellent algorithms used by CPC. Furthermore, the LP has exhibited a significant upward trend in precipitation since 2000, with the thermal term playing a significant role in the humidification of the LP. The analysis suggests that global warming increases atmospheric moisture content, and enhanced westerly jet and near-surface easterly anomalies transport warm, humid air from the North Atlantic and the eastern China Sea into the LP. Clarifying the precipitation trends and dynamics in the LP can provide valuable policy support for agricultural development.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"141 ","pages":"Article 104634"},"PeriodicalIF":8.6000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of the applicability of multi-satellite precipitation products on the Loess Plateau over the past four decades\",\"authors\":\"Rui Liu , Liu Yang , Zhengguo Shi , Mengdao Xing\",\"doi\":\"10.1016/j.jag.2025.104634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The study of drought and precipitation evolution due to global warming has garnered significant attention from the scientific community in recent years. The Loess Plateau (LP), a typical dryland agricultural area, has its agricultural development influenced by precipitation. However, given its location in the hinterland of the Eurasian continent, the complex terrain, and the severe lack of rain gauges, the region faces challenges in accurate precipitation measurement. Multi-satellite precipitation products (MPPs), with their wide coverage and high resolution, can potentially address this deficiency, making it crucial to assess their applicability on the LP. This study evaluates the results of the inversion of LP precipitation changes by MPPs, the factors influencing the precipitation changes, and the dynamical mechanisms affecting LP precipitation evolution. The findings indicate that the CPC is the most suitable product for inverting daily precipitation on the LP, with the highest correlation coefficient of 0.774 between CPC and observations, and the highest Probability of Detection of 0.667. This is attributed to the stable data sources and excellent algorithms used by CPC. Furthermore, the LP has exhibited a significant upward trend in precipitation since 2000, with the thermal term playing a significant role in the humidification of the LP. The analysis suggests that global warming increases atmospheric moisture content, and enhanced westerly jet and near-surface easterly anomalies transport warm, humid air from the North Atlantic and the eastern China Sea into the LP. Clarifying the precipitation trends and dynamics in the LP can provide valuable policy support for agricultural development.</div></div>\",\"PeriodicalId\":73423,\"journal\":{\"name\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"volume\":\"141 \",\"pages\":\"Article 104634\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S156984322500281X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S156984322500281X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Assessment of the applicability of multi-satellite precipitation products on the Loess Plateau over the past four decades
The study of drought and precipitation evolution due to global warming has garnered significant attention from the scientific community in recent years. The Loess Plateau (LP), a typical dryland agricultural area, has its agricultural development influenced by precipitation. However, given its location in the hinterland of the Eurasian continent, the complex terrain, and the severe lack of rain gauges, the region faces challenges in accurate precipitation measurement. Multi-satellite precipitation products (MPPs), with their wide coverage and high resolution, can potentially address this deficiency, making it crucial to assess their applicability on the LP. This study evaluates the results of the inversion of LP precipitation changes by MPPs, the factors influencing the precipitation changes, and the dynamical mechanisms affecting LP precipitation evolution. The findings indicate that the CPC is the most suitable product for inverting daily precipitation on the LP, with the highest correlation coefficient of 0.774 between CPC and observations, and the highest Probability of Detection of 0.667. This is attributed to the stable data sources and excellent algorithms used by CPC. Furthermore, the LP has exhibited a significant upward trend in precipitation since 2000, with the thermal term playing a significant role in the humidification of the LP. The analysis suggests that global warming increases atmospheric moisture content, and enhanced westerly jet and near-surface easterly anomalies transport warm, humid air from the North Atlantic and the eastern China Sea into the LP. Clarifying the precipitation trends and dynamics in the LP can provide valuable policy support for agricultural development.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.