Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation
The Polar Multi-Sensor Aerosol product (PMAp) is based on the synergistic use of three instruments from the Metop platform, GOME-2, AVHRR, and IASI. The retrieval algorithm includes three major steps: a pre-identification of the aerosol class, a selection of the aerosol model, and a calculation of t...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/1/85 |
| _version_ | 1797497748487929856 |
|---|---|
| author | Michael Grzegorski Gabriele Poli Alessandra Cacciari Soheila Jafariserajehlou Andriy Holdak Ruediger Lang Margarita Vazquez-Navarro Rosemary Munro Bertrand Fougnie |
| author_facet | Michael Grzegorski Gabriele Poli Alessandra Cacciari Soheila Jafariserajehlou Andriy Holdak Ruediger Lang Margarita Vazquez-Navarro Rosemary Munro Bertrand Fougnie |
| author_sort | Michael Grzegorski |
| collection | DOAJ |
| description | The Polar Multi-Sensor Aerosol product (PMAp) is based on the synergistic use of three instruments from the Metop platform, GOME-2, AVHRR, and IASI. The retrieval algorithm includes three major steps: a pre-identification of the aerosol class, a selection of the aerosol model, and a calculation of the Aerosol Optical Depth (AOD). This paper provides a detailed description of the PMAp retrieval, which combines information provided by the three instruments. The retrieved AOD is qualitatively evaluated, and a good temporal as well as spatial performance is observed, including for the transition between ocean and land. More quantitatively, the performance is evaluated by comparison to AERONET in situ measurements. Very good consistency is also observed when compared to other space-based data such as MODIS or VIIRS. The paper demonstrates the ability of this first generation of synergistic products to derive reliable AOD, opening the door for the development of synergistic products from the instruments to be embarked on the coming Metop Second Generation platform. PMAp has been operationally distributed in near-real-time since 2014 over ocean, and 2016 over land. |
| first_indexed | 2024-03-10T03:23:41Z |
| format | Article |
| id | doaj.art-0689904631f7489e88b78f7f379f8019 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:23:41Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0689904631f7489e88b78f7f379f80192023-11-23T12:12:54ZengMDPI AGRemote Sensing2072-42922021-12-011418510.3390/rs14010085Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First ValidationMichael Grzegorski0Gabriele Poli1Alessandra Cacciari2Soheila Jafariserajehlou3Andriy Holdak4Ruediger Lang5Margarita Vazquez-Navarro6Rosemary Munro7Bertrand Fougnie8EUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyEUMETSAT, Eumetsat allee 1, 64295 Darmstadt, GermanyThe Polar Multi-Sensor Aerosol product (PMAp) is based on the synergistic use of three instruments from the Metop platform, GOME-2, AVHRR, and IASI. The retrieval algorithm includes three major steps: a pre-identification of the aerosol class, a selection of the aerosol model, and a calculation of the Aerosol Optical Depth (AOD). This paper provides a detailed description of the PMAp retrieval, which combines information provided by the three instruments. The retrieved AOD is qualitatively evaluated, and a good temporal as well as spatial performance is observed, including for the transition between ocean and land. More quantitatively, the performance is evaluated by comparison to AERONET in situ measurements. Very good consistency is also observed when compared to other space-based data such as MODIS or VIIRS. The paper demonstrates the ability of this first generation of synergistic products to derive reliable AOD, opening the door for the development of synergistic products from the instruments to be embarked on the coming Metop Second Generation platform. PMAp has been operationally distributed in near-real-time since 2014 over ocean, and 2016 over land.https://www.mdpi.com/2072-4292/14/1/85remote sensingaerosol optical depthsynergyMetopGOME-2 |
| spellingShingle | Michael Grzegorski Gabriele Poli Alessandra Cacciari Soheila Jafariserajehlou Andriy Holdak Ruediger Lang Margarita Vazquez-Navarro Rosemary Munro Bertrand Fougnie Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation Remote Sensing remote sensing aerosol optical depth synergy Metop GOME-2 |
| title | Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation |
| title_full | Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation |
| title_fullStr | Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation |
| title_full_unstemmed | Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation |
| title_short | Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation |
| title_sort | multi sensor retrieval of aerosol optical properties for near real time applications using the metop series of satellites concept detailed description and first validation |
| topic | remote sensing aerosol optical depth synergy Metop GOME-2 |
| url | https://www.mdpi.com/2072-4292/14/1/85 |
| work_keys_str_mv | AT michaelgrzegorski multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT gabrielepoli multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT alessandracacciari multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT soheilajafariserajehlou multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT andriyholdak multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT ruedigerlang multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT margaritavazqueznavarro multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT rosemarymunro multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation AT bertrandfougnie multisensorretrievalofaerosolopticalpropertiesfornearrealtimeapplicationsusingthemetopseriesofsatellitesconceptdetaileddescriptionandfirstvalidation |