Ling Xiong;Liangke Huang;Zhixiang Mo;Xiangping Chen;Yifei Yang;Shaofeng Xie;Junyu Li;Lilong Liu
{"title":"广西“龙舟水”降水事件gnss可降水量演变及其驱动因素","authors":"Ling Xiong;Liangke Huang;Zhixiang Mo;Xiangping Chen;Yifei Yang;Shaofeng Xie;Junyu Li;Lilong Liu","doi":"10.1109/JSTARS.2025.3575758","DOIUrl":null,"url":null,"abstract":"Precipitable water vapor (PWV) is an important indicator for quantifying atmospheric water vapor, and its evolution is intrinsically linked to the formation and development of extreme weather. As a type of heavy rainfall occurring during the Dragon Boat Festival in southern China, the phenomenon known as “dragon boat water” (DBW) has caused a series of disasters in Guangxi Province. Therefore, it is crucial to investigate PWV evolution and contributing factors. The PWV retrieved by Global Navigation Satellite System (GNSS) technology offers a reliable method due to its advantages of high-temporal resolution, high-precision, and weather-independent. In this article, the GNSS-derived PWV at the stations was obtained based on the GNSS data from 2020 to 2022 at 121 GNSS stations as well as the European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) atmospheric reanalysis data. To assess the performance of the GNSS-derived PWV, it was compared with Radiosondes, demonstrating its high accuracy. Additionally, combined with ERA5 reanalysis data, the evolution of GNSS-retrieval PWV during the DBW event in Guangxi was analyzed, and the results showed that the direction of the water vapor transport pathway was from the southeast to the northwest. The overall trend of PWV decreased from southeast to northwest, with higher values observed in coastal areas compared to inland areas, and greater concentrations in plains than in mountains. Further investigation revealed that the evolution of GNSS-derived PWV was governed by the synergistic effects of mean sea level pressure (MSLP), horizontal wind speed (u-wind), vertical wind speed (v-wind), and 2 m temperature (T2M). The direction of the wind field generally aligned with the direction of PWV movement, and the magnitude of PWV corresponded with wind field intensity. The distribution of PWV was found to be negatively correlated with MSLP and positively correlated with T2M. These findings could deepen the understanding of PWV dynamics and improve the prediction of extreme precipitation events.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"18 ","pages":"14308-14323"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11021307","citationCount":"0","resultStr":"{\"title\":\"Evolution of GNSS-Derived Precipitable Water Vapor and Its Driving Factors During the “Dragon Boat Water” Rainfall Event in Guangxi, China\",\"authors\":\"Ling Xiong;Liangke Huang;Zhixiang Mo;Xiangping Chen;Yifei Yang;Shaofeng Xie;Junyu Li;Lilong Liu\",\"doi\":\"10.1109/JSTARS.2025.3575758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Precipitable water vapor (PWV) is an important indicator for quantifying atmospheric water vapor, and its evolution is intrinsically linked to the formation and development of extreme weather. As a type of heavy rainfall occurring during the Dragon Boat Festival in southern China, the phenomenon known as “dragon boat water” (DBW) has caused a series of disasters in Guangxi Province. Therefore, it is crucial to investigate PWV evolution and contributing factors. The PWV retrieved by Global Navigation Satellite System (GNSS) technology offers a reliable method due to its advantages of high-temporal resolution, high-precision, and weather-independent. In this article, the GNSS-derived PWV at the stations was obtained based on the GNSS data from 2020 to 2022 at 121 GNSS stations as well as the European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) atmospheric reanalysis data. To assess the performance of the GNSS-derived PWV, it was compared with Radiosondes, demonstrating its high accuracy. Additionally, combined with ERA5 reanalysis data, the evolution of GNSS-retrieval PWV during the DBW event in Guangxi was analyzed, and the results showed that the direction of the water vapor transport pathway was from the southeast to the northwest. The overall trend of PWV decreased from southeast to northwest, with higher values observed in coastal areas compared to inland areas, and greater concentrations in plains than in mountains. Further investigation revealed that the evolution of GNSS-derived PWV was governed by the synergistic effects of mean sea level pressure (MSLP), horizontal wind speed (u-wind), vertical wind speed (v-wind), and 2 m temperature (T2M). The direction of the wind field generally aligned with the direction of PWV movement, and the magnitude of PWV corresponded with wind field intensity. The distribution of PWV was found to be negatively correlated with MSLP and positively correlated with T2M. 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Evolution of GNSS-Derived Precipitable Water Vapor and Its Driving Factors During the “Dragon Boat Water” Rainfall Event in Guangxi, China
Precipitable water vapor (PWV) is an important indicator for quantifying atmospheric water vapor, and its evolution is intrinsically linked to the formation and development of extreme weather. As a type of heavy rainfall occurring during the Dragon Boat Festival in southern China, the phenomenon known as “dragon boat water” (DBW) has caused a series of disasters in Guangxi Province. Therefore, it is crucial to investigate PWV evolution and contributing factors. The PWV retrieved by Global Navigation Satellite System (GNSS) technology offers a reliable method due to its advantages of high-temporal resolution, high-precision, and weather-independent. In this article, the GNSS-derived PWV at the stations was obtained based on the GNSS data from 2020 to 2022 at 121 GNSS stations as well as the European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) atmospheric reanalysis data. To assess the performance of the GNSS-derived PWV, it was compared with Radiosondes, demonstrating its high accuracy. Additionally, combined with ERA5 reanalysis data, the evolution of GNSS-retrieval PWV during the DBW event in Guangxi was analyzed, and the results showed that the direction of the water vapor transport pathway was from the southeast to the northwest. The overall trend of PWV decreased from southeast to northwest, with higher values observed in coastal areas compared to inland areas, and greater concentrations in plains than in mountains. Further investigation revealed that the evolution of GNSS-derived PWV was governed by the synergistic effects of mean sea level pressure (MSLP), horizontal wind speed (u-wind), vertical wind speed (v-wind), and 2 m temperature (T2M). The direction of the wind field generally aligned with the direction of PWV movement, and the magnitude of PWV corresponded with wind field intensity. The distribution of PWV was found to be negatively correlated with MSLP and positively correlated with T2M. These findings could deepen the understanding of PWV dynamics and improve the prediction of extreme precipitation events.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.