Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites
Abstract The lack of measurements of three‐dimensional (3D) distribution of horizontal wind vectors is a major challenge in atmospheric science. Here, we develop an algorithm to retrieve winds for nine pressure levels at 1° grid spacing from 70°N to 70°S. The retrieval is done by tracking water vapo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-04-01
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| Series: | Geophysical Research Letters |
| Online Access: | https://doi.org/10.1029/2022GL101830 |
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| author | Amir Ouyed Nadia Smith Xubin Zeng Thomas Galarneau Jr. Hui Su Ross D. Dixon |
| author_facet | Amir Ouyed Nadia Smith Xubin Zeng Thomas Galarneau Jr. Hui Su Ross D. Dixon |
| author_sort | Amir Ouyed |
| collection | DOAJ |
| description | Abstract The lack of measurements of three‐dimensional (3D) distribution of horizontal wind vectors is a major challenge in atmospheric science. Here, we develop an algorithm to retrieve winds for nine pressure levels at 1° grid spacing from 70°N to 70°S. The retrieval is done by tracking water vapor from the hyperspectral Cross‐track Infrared Sounder aboard two polar satellites (NOAA‐20 and Suomi‐NPP) that have overlapped tracks separated by 50 min. We impose a gross error check by flagging retrievals that are too different from ERA‐5 reanalysis. Testing the algorithm for the first week of January and July 2020 indicates that our algorithm yields 104 wind profiles per day and these 3D winds qualitatively agree with ERA‐5. Compared with radiosonde data, the errors are within the range of reported errors of cloud‐tracking winds. |
| format | Article |
| id | doaj-art-b2e1d2ba01b74c2ca89317f52b3eddc2 |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2023-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-b2e1d2ba01b74c2ca89317f52b3eddc22025-08-20T02:04:21ZengWileyGeophysical Research Letters0094-82761944-80072023-04-01507n/an/a10.1029/2022GL101830Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two SatellitesAmir Ouyed0Nadia Smith1Xubin Zeng2Thomas Galarneau Jr.3Hui Su4Ross D. Dixon5Department of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USAScience and Technology Corporation Columbia MD USADepartment of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USANOAA/OAR National Severe Storms Laboratory Norman OK USADepartment of Atmospheric and Oceanic Sciences University of California, Los Angeles Los Angeles CA USADepartment of Earth and Atmospheric Sciences University of Nebraska, Lincoln Lincoln NE USAAbstract The lack of measurements of three‐dimensional (3D) distribution of horizontal wind vectors is a major challenge in atmospheric science. Here, we develop an algorithm to retrieve winds for nine pressure levels at 1° grid spacing from 70°N to 70°S. The retrieval is done by tracking water vapor from the hyperspectral Cross‐track Infrared Sounder aboard two polar satellites (NOAA‐20 and Suomi‐NPP) that have overlapped tracks separated by 50 min. We impose a gross error check by flagging retrievals that are too different from ERA‐5 reanalysis. Testing the algorithm for the first week of January and July 2020 indicates that our algorithm yields 104 wind profiles per day and these 3D winds qualitatively agree with ERA‐5. Compared with radiosonde data, the errors are within the range of reported errors of cloud‐tracking winds.https://doi.org/10.1029/2022GL101830 |
| spellingShingle | Amir Ouyed Nadia Smith Xubin Zeng Thomas Galarneau Jr. Hui Su Ross D. Dixon Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites Geophysical Research Letters |
| title | Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites |
| title_full | Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites |
| title_fullStr | Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites |
| title_full_unstemmed | Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites |
| title_short | Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites |
| title_sort | global three dimensional water vapor feature tracking for horizontal winds using hyperspectral infrared sounder data from overlapped tracks of two satellites |
| url | https://doi.org/10.1029/2022GL101830 |
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