The added-value from the Configurable Reflectarray for Electronic Wideband Scanning Radiometry for Hurricane Ian (2022) forecast via a hybrid observing system simulation experiment.
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| Title: | The added-value from the Configurable Reflectarray for Electronic Wideband Scanning Radiometry for Hurricane Ian (2022) forecast via a hybrid observing system simulation experiment. |
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| Authors: | Wang, Pei1 (AUTHOR), Li, Zhenglong1 (AUTHOR) zhenglong.li@ssec.wisc.edu, Blackwell, William2 (AUTHOR), Li, Jinlong1 (AUTHOR), Schmit, Timothy J.1 (AUTHOR), Nagle, Fredrick W.1 (AUTHOR), Cucurull, Lidia3 (AUTHOR), Lin, Lin4 (AUTHOR) |
| Source: | Journal of Atmospheric & Oceanic Technology. May2026, Vol. 43 Issue 5, p1-17. 17p. |
| Subjects: | Spatial resolution, Hurricanes, Weather forecasting, Microwave imaging, Microspacecraft, Microwave radiometers |
| Abstract: | The Configurable Reflectarray for Electronic Wideband Scanning Radiometry (CREWSR) is a future microwave imaging and sounding sensor that offers low-power, low-mass, low-cost, high-performance, and compatibility with Evolved Expendable Launch Vehicle (EELV) Secondary Payload Adapter (ESPA)-class small satellite systems. CREWSR will demonstrate a highly configurable SmallSat based microwave temperature sounder on several key capabilities: the spatial resolution, the sampling distance between two nearby field of views (FOVs), the ability to scan anywhere within its scene to allow angular sampling, the number of spectral channels, and the observation noise. These capabilities will optimize the observing strategy so that more observations can be made in regions that are data sensitive. This work focuses on evaluating three configurable aspects of CREWSR: the spatial resolution, the ground sample distance, and the angular samplings. A quick regional hybrid Observing System Simulation Experiment (OSSE) work was conducted to understand the added-value of CREWSR on Hurricane Ian (2022) forecast. Results show that assimilating both CREWSR and ATMS radiances in the early morning orbit improves the Hurricane Ian (2022) forecast on track and intensity. The finer spatial resolution can further improve the forecast. Most importantly, CREWSR radiances with the optimized observing strategy improves the forecast the best. These results demonstrate that a microwave sounder like CREWSR, with the capability to provide more observations in data sensitive region and fewer observations in data insensitive region, has the potential to further improve hurricane forecast beyond the current sensors' capability. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Atmospheric & Oceanic Technology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194578179 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The added-value from the Configurable Reflectarray for Electronic Wideband Scanning Radiometry for Hurricane Ian (2022) forecast via a hybrid observing system simulation experiment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Pei%22">Wang, Pei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zhenglong%22">Li, Zhenglong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhenglong.li@ssec.wisc.edu</i><br /><searchLink fieldCode="AR" term="%22Blackwell%2C+William%22">Blackwell, William</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jinlong%22">Li, Jinlong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schmit%2C+Timothy+J%2E%22">Schmit, Timothy J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nagle%2C+Fredrick+W%2E%22">Nagle, Fredrick W.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cucurull%2C+Lidia%22">Cucurull, Lidia</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Lin%22">Lin, Lin</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Atmospheric+%26+Oceanic+Technology%22">Journal of Atmospheric & Oceanic Technology</searchLink>. May2026, Vol. 43 Issue 5, p1-17. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Hurricanes%22">Hurricanes</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Microwave+imaging%22">Microwave imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Microspacecraft%22">Microspacecraft</searchLink><br /><searchLink fieldCode="DE" term="%22Microwave+radiometers%22">Microwave radiometers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Configurable Reflectarray for Electronic Wideband Scanning Radiometry (CREWSR) is a future microwave imaging and sounding sensor that offers low-power, low-mass, low-cost, high-performance, and compatibility with Evolved Expendable Launch Vehicle (EELV) Secondary Payload Adapter (ESPA)-class small satellite systems. CREWSR will demonstrate a highly configurable SmallSat based microwave temperature sounder on several key capabilities: the spatial resolution, the sampling distance between two nearby field of views (FOVs), the ability to scan anywhere within its scene to allow angular sampling, the number of spectral channels, and the observation noise. These capabilities will optimize the observing strategy so that more observations can be made in regions that are data sensitive. This work focuses on evaluating three configurable aspects of CREWSR: the spatial resolution, the ground sample distance, and the angular samplings. A quick regional hybrid Observing System Simulation Experiment (OSSE) work was conducted to understand the added-value of CREWSR on Hurricane Ian (2022) forecast. Results show that assimilating both CREWSR and ATMS radiances in the early morning orbit improves the Hurricane Ian (2022) forecast on track and intensity. The finer spatial resolution can further improve the forecast. Most importantly, CREWSR radiances with the optimized observing strategy improves the forecast the best. These results demonstrate that a microwave sounder like CREWSR, with the capability to provide more observations in data sensitive region and fewer observations in data insensitive region, has the potential to further improve hurricane forecast beyond the current sensors' capability. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Atmospheric & Oceanic Technology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/JTECH-D-25-0070.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Spatial resolution Type: general – SubjectFull: Hurricanes Type: general – SubjectFull: Weather forecasting Type: general – SubjectFull: Microwave imaging Type: general – SubjectFull: Microspacecraft Type: general – SubjectFull: Microwave radiometers Type: general Titles: – TitleFull: The added-value from the Configurable Reflectarray for Electronic Wideband Scanning Radiometry for Hurricane Ian (2022) forecast via a hybrid observing system simulation experiment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Pei – PersonEntity: Name: NameFull: Li, Zhenglong – PersonEntity: Name: NameFull: Blackwell, William – PersonEntity: Name: NameFull: Li, Jinlong – PersonEntity: Name: NameFull: Schmit, Timothy J. – PersonEntity: Name: NameFull: Nagle, Fredrick W. – PersonEntity: Name: NameFull: Cucurull, Lidia – PersonEntity: Name: NameFull: Lin, Lin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07390572 Numbering: – Type: volume Value: 43 – Type: issue Value: 5 Titles: – TitleFull: Journal of Atmospheric & Oceanic Technology Type: main |
| ResultId | 1 |
