Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction
This article presents the methodology for an improved estimation of the sea surface wind speed measured by the cyclone global navigation satellite system (CYGNSS) constellation of satellites using significant wave height (SWH) information as external reference data. The methodology consists of a cor...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/21/4313 |
| _version_ | 1797511842786967552 |
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| author | Daniel Pascual Maria Paola Clarizia Christopher S. Ruf |
| author_facet | Daniel Pascual Maria Paola Clarizia Christopher S. Ruf |
| author_sort | Daniel Pascual |
| collection | DOAJ |
| description | This article presents the methodology for an improved estimation of the sea surface wind speed measured by the cyclone global navigation satellite system (CYGNSS) constellation of satellites using significant wave height (SWH) information as external reference data. The methodology consists of a correcting 2D look-up table (LUT) with inputs: (1) the CYGNSS wind speed given by the geophysical model function (GMF); and (2) the collocated reference SWH given by the WW3 model, which is forced by winds from the European Centre for Medium-Range Weather Forecasts (ECMWF) organization. In particular, the analyzed CYGNSS wind speeds are the fully developed seas (FDS) obtained with the GMF 3.0, and the forcing winds are the ECMWF forecast winds. Results show an increase in sensitivity to large winds speeds and an overall reduction in the root mean square difference (RMSD) with respect to the ECMWF winds from 2.05 m/s to 1.74 m/s. The possible influence of the ECWMF winds on the corrected winds (due to their use in the WW3 model) is analyzed by considering the correlation between: (1) the difference between the ECMWF winds and those from another reference; and (2) the difference between the corrected CYGNSS winds and those from the same reference. Results using ASCAT, WindSat, Jason, and AltiKa as references show no significant influence. |
| first_indexed | 2024-03-10T05:53:43Z |
| format | Article |
| id | doaj.art-3a5f6043c18e4b4383e028373ad28a80 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:53:43Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3a5f6043c18e4b4383e028373ad28a802023-11-22T21:31:37ZengMDPI AGRemote Sensing2072-42922021-10-011321431310.3390/rs13214313Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height CorrectionDaniel Pascual0Maria Paola Clarizia1Christopher S. Ruf2Deimos Space UK Ltd., Oxford OX11 0RL, UKDeimos Space UK Ltd., Oxford OX11 0RL, UKDepartment of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48109, USAThis article presents the methodology for an improved estimation of the sea surface wind speed measured by the cyclone global navigation satellite system (CYGNSS) constellation of satellites using significant wave height (SWH) information as external reference data. The methodology consists of a correcting 2D look-up table (LUT) with inputs: (1) the CYGNSS wind speed given by the geophysical model function (GMF); and (2) the collocated reference SWH given by the WW3 model, which is forced by winds from the European Centre for Medium-Range Weather Forecasts (ECMWF) organization. In particular, the analyzed CYGNSS wind speeds are the fully developed seas (FDS) obtained with the GMF 3.0, and the forcing winds are the ECMWF forecast winds. Results show an increase in sensitivity to large winds speeds and an overall reduction in the root mean square difference (RMSD) with respect to the ECMWF winds from 2.05 m/s to 1.74 m/s. The possible influence of the ECWMF winds on the corrected winds (due to their use in the WW3 model) is analyzed by considering the correlation between: (1) the difference between the ECMWF winds and those from another reference; and (2) the difference between the corrected CYGNSS winds and those from the same reference. Results using ASCAT, WindSat, Jason, and AltiKa as references show no significant influence.https://www.mdpi.com/2072-4292/13/21/4313GNSS reflectometryCYGNSSwind speedsignificant wave height |
| spellingShingle | Daniel Pascual Maria Paola Clarizia Christopher S. Ruf Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction Remote Sensing GNSS reflectometry CYGNSS wind speed significant wave height |
| title | Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction |
| title_full | Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction |
| title_fullStr | Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction |
| title_full_unstemmed | Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction |
| title_short | Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction |
| title_sort | improved cygnss wind speed retrieval using significant wave height correction |
| topic | GNSS reflectometry CYGNSS wind speed significant wave height |
| url | https://www.mdpi.com/2072-4292/13/21/4313 |
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