The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT
Atmospheric Motion Vectors (AMVs) are an important input to many Numerical Weather Prediction (NWP) models. EUMETSAT derives AMVs from several of its orbiting satellites, including the geostationary satellites (Meteosat), and its Low-Earth Orbit (LEO) satellites. The algorithm extracting the AMVs us...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/9/1702 |
| _version_ | 1797535942808961024 |
|---|---|
| author | Kévin Barbieux Olivier Hautecoeur Maurizio De Bartolomei Manuel Carranza Régis Borde |
| author_facet | Kévin Barbieux Olivier Hautecoeur Maurizio De Bartolomei Manuel Carranza Régis Borde |
| author_sort | Kévin Barbieux |
| collection | DOAJ |
| description | Atmospheric Motion Vectors (AMVs) are an important input to many Numerical Weather Prediction (NWP) models. EUMETSAT derives AMVs from several of its orbiting satellites, including the geostationary satellites (Meteosat), and its Low-Earth Orbit (LEO) satellites. The algorithm extracting the AMVs uses pairs or triplets of images, and tracks the motion of clouds or water vapour features from one image to another. Currently, EUMETSAT LEO satellite AMVs are retrieved from georeferenced images from the Advanced Very-High-Resolution Radiometer (AVHRR) on board the Metop satellites. EUMETSAT is currently preparing the operational release of an AMV product from the Sea and Land Surface Temperature Radiometer (SLSTR) on board the Sentinel-3 satellites. The main innovation in the processing, compared with AVHRR AMVs, lies in the co-registration of pairs of images: the images are first projected on an equal-area grid, before applying the AMV extraction algorithm. This approach has multiple advantages. First, individual pixels represent areas of equal sizes, which is crucial to ensure that the tracking is consistent throughout the processed image, and from one image to another. Second, this allows features that would otherwise leave the frame of the reference image to be tracked, thereby allowing more AMVs to be derived. Third, the same framework could be used for every LEO satellite, allowing an overall consistency of EUMETSAT AMV products. In this work, we present the results of this method for SLSTR by comparing the AMVs to the forecast model. We validate our results against AMVs currently derived from AVHRR and the Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The release of the operational SLSTR AMV product is expected in 2022. |
| first_indexed | 2024-03-10T11:52:30Z |
| format | Article |
| id | doaj.art-d96f4c39de68420a9994d61e658c2edf |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:52:30Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d96f4c39de68420a9994d61e658c2edf2023-11-21T17:37:41ZengMDPI AGRemote Sensing2072-42922021-04-01139170210.3390/rs13091702The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSATKévin Barbieux0Olivier Hautecoeur1Maurizio De Bartolomei2Manuel Carranza3Régis Borde4EUMETSAT, 64295 Darmstadt, GermanyEXOSTAFF, 64404 Bickenbach, GermanyEUMETSAT, 64295 Darmstadt, GermanyGMV GmbH, 64293 Darmstadt, GermanyEUMETSAT, 64295 Darmstadt, GermanyAtmospheric Motion Vectors (AMVs) are an important input to many Numerical Weather Prediction (NWP) models. EUMETSAT derives AMVs from several of its orbiting satellites, including the geostationary satellites (Meteosat), and its Low-Earth Orbit (LEO) satellites. The algorithm extracting the AMVs uses pairs or triplets of images, and tracks the motion of clouds or water vapour features from one image to another. Currently, EUMETSAT LEO satellite AMVs are retrieved from georeferenced images from the Advanced Very-High-Resolution Radiometer (AVHRR) on board the Metop satellites. EUMETSAT is currently preparing the operational release of an AMV product from the Sea and Land Surface Temperature Radiometer (SLSTR) on board the Sentinel-3 satellites. The main innovation in the processing, compared with AVHRR AMVs, lies in the co-registration of pairs of images: the images are first projected on an equal-area grid, before applying the AMV extraction algorithm. This approach has multiple advantages. First, individual pixels represent areas of equal sizes, which is crucial to ensure that the tracking is consistent throughout the processed image, and from one image to another. Second, this allows features that would otherwise leave the frame of the reference image to be tracked, thereby allowing more AMVs to be derived. Third, the same framework could be used for every LEO satellite, allowing an overall consistency of EUMETSAT AMV products. In this work, we present the results of this method for SLSTR by comparing the AMVs to the forecast model. We validate our results against AMVs currently derived from AVHRR and the Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The release of the operational SLSTR AMV product is expected in 2022.https://www.mdpi.com/2072-4292/13/9/1702atmospheric motion vectorAMVSentinel-3SLSTRcross-correlationcloud |
| spellingShingle | Kévin Barbieux Olivier Hautecoeur Maurizio De Bartolomei Manuel Carranza Régis Borde The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT Remote Sensing atmospheric motion vector AMV Sentinel-3 SLSTR cross-correlation cloud |
| title | The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT |
| title_full | The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT |
| title_fullStr | The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT |
| title_full_unstemmed | The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT |
| title_short | The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT |
| title_sort | sentinel 3 slstr atmospheric motion vectors product at eumetsat |
| topic | atmospheric motion vector AMV Sentinel-3 SLSTR cross-correlation cloud |
| url | https://www.mdpi.com/2072-4292/13/9/1702 |
| work_keys_str_mv | AT kevinbarbieux thesentinel3slstratmosphericmotionvectorsproductateumetsat AT olivierhautecoeur thesentinel3slstratmosphericmotionvectorsproductateumetsat AT mauriziodebartolomei thesentinel3slstratmosphericmotionvectorsproductateumetsat AT manuelcarranza thesentinel3slstratmosphericmotionvectorsproductateumetsat AT regisborde thesentinel3slstratmosphericmotionvectorsproductateumetsat AT kevinbarbieux sentinel3slstratmosphericmotionvectorsproductateumetsat AT olivierhautecoeur sentinel3slstratmosphericmotionvectorsproductateumetsat AT mauriziodebartolomei sentinel3slstratmosphericmotionvectorsproductateumetsat AT manuelcarranza sentinel3slstratmosphericmotionvectorsproductateumetsat AT regisborde sentinel3slstratmosphericmotionvectorsproductateumetsat |