An Algorithm to Develop a Satellite‐Based Atmospheric River Database
Abstract 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 misrep...
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| Format: | Article |
| Language: | English |
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Wiley
2025-03-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2024GL111316 |
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| author | Tianying Liu Shineng Hu |
| author_facet | Tianying Liu Shineng Hu |
| author_sort | Tianying Liu |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-a3b97ece2e8745158515ca7b14d03f92 |
| institution | Kabale University |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-a3b97ece2e8745158515ca7b14d03f922025-08-20T03:52:42ZengWileyGeophysical Research Letters0094-82761944-80072025-03-01525n/an/a10.1029/2024GL111316An Algorithm to Develop a Satellite‐Based Atmospheric River DatabaseTianying Liu0Shineng Hu1Division of Earth and Climate Sciences Nicholas School of the Environment Duke University Durham NC USADivision of Earth and Climate Sciences Nicholas School of the Environment Duke University Durham NC USAAbstract 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.https://doi.org/10.1029/2024GL111316atmospheric riversatellite observationdata reconstruction |
| spellingShingle | Tianying Liu Shineng Hu An Algorithm to Develop a Satellite‐Based Atmospheric River Database Geophysical Research Letters atmospheric river satellite observation data reconstruction |
| title | An Algorithm to Develop a Satellite‐Based Atmospheric River Database |
| title_full | An Algorithm to Develop a Satellite‐Based Atmospheric River Database |
| title_fullStr | An Algorithm to Develop a Satellite‐Based Atmospheric River Database |
| title_full_unstemmed | An Algorithm to Develop a Satellite‐Based Atmospheric River Database |
| title_short | An Algorithm to Develop a Satellite‐Based Atmospheric River Database |
| title_sort | algorithm to develop a satellite based atmospheric river database |
| topic | atmospheric river satellite observation data reconstruction |
| url | https://doi.org/10.1029/2024GL111316 |
| work_keys_str_mv | AT tianyingliu analgorithmtodevelopasatellitebasedatmosphericriverdatabase AT shinenghu analgorithmtodevelopasatellitebasedatmosphericriverdatabase AT tianyingliu algorithmtodevelopasatellitebasedatmosphericriverdatabase AT shinenghu algorithmtodevelopasatellitebasedatmosphericriverdatabase |