{"title":"基于卫星的大气河流数据库开发算法","authors":"Tianying Liu, Shineng Hu","doi":"10.1029/2024GL111316","DOIUrl":null,"url":null,"abstract":"<p>Atmospheric rivers (ARs) feature transient filaments of enhanced moisture transport. Given their significant influence on regional weather extremes and global hydrological cycle, there have been extensive AR studies based on reanalyses or in-situ measurements. However, reanalyses may misrepresent real-world ARs, and in-situ measurements are only available in limited space and time. In this study, we propose an algorithm to reconstruct the observed vertically integrated vapor transport (IVT) field using two satellite-observed quantities, vertically integrated water vapor and sea surface winds. This algorithm is first validated by atmospheric reanalyses with high correlations of IVT and is then applied to satellite observations for real-world IVT reconstruction. The developed satellite-based AR database shows similar large-scale statistics but with a significantly lower AR frequency in the midlatitudes. This new AR database with high spatial and temporal resolutions will provide a unique observational archive for studying ARs and related rainfall extremes.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 5","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL111316","citationCount":"0","resultStr":"{\"title\":\"An Algorithm to Develop a Satellite-Based Atmospheric River Database\",\"authors\":\"Tianying Liu, Shineng Hu\",\"doi\":\"10.1029/2024GL111316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Atmospheric rivers (ARs) feature transient filaments of enhanced moisture transport. Given their significant influence on regional weather extremes and global hydrological cycle, there have been extensive AR studies based on reanalyses or in-situ measurements. However, reanalyses may misrepresent real-world ARs, and in-situ measurements are only available in limited space and time. In this study, we propose an algorithm to reconstruct the observed vertically integrated vapor transport (IVT) field using two satellite-observed quantities, vertically integrated water vapor and sea surface winds. This algorithm is first validated by atmospheric reanalyses with high correlations of IVT and is then applied to satellite observations for real-world IVT reconstruction. The developed satellite-based AR database shows similar large-scale statistics but with a significantly lower AR frequency in the midlatitudes. This new AR database with high spatial and temporal resolutions will provide a unique observational archive for studying ARs and related rainfall extremes.</p>\",\"PeriodicalId\":12523,\"journal\":{\"name\":\"Geophysical Research Letters\",\"volume\":\"52 5\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL111316\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geophysical Research Letters\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2024GL111316\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysical Research Letters","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024GL111316","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
An Algorithm to Develop a Satellite-Based Atmospheric River Database
Atmospheric rivers (ARs) feature transient filaments of enhanced moisture transport. Given their significant influence on regional weather extremes and global hydrological cycle, there have been extensive AR studies based on reanalyses or in-situ measurements. However, reanalyses may misrepresent real-world ARs, and in-situ measurements are only available in limited space and time. In this study, we propose an algorithm to reconstruct the observed vertically integrated vapor transport (IVT) field using two satellite-observed quantities, vertically integrated water vapor and sea surface winds. This algorithm is first validated by atmospheric reanalyses with high correlations of IVT and is then applied to satellite observations for real-world IVT reconstruction. The developed satellite-based AR database shows similar large-scale statistics but with a significantly lower AR frequency in the midlatitudes. This new AR database with high spatial and temporal resolutions will provide a unique observational archive for studying ARs and related rainfall extremes.
期刊介绍：
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.
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