Utilizing AEOLUS to Improve Dust Transport Modelling
The European Space Agency’s AEOLUS mission provides vertical profiles of the horizontal line-of-sight (HLOS) wind component in the troposphere and lower stratosphere, as well as secondary products with retrievals of extinction and backscatter coefficients. Under the scope of the ESA L2A+ project, we...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Environmental Sciences Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4931/26/1/193 |
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| author | Thanasis Georgiou Konstantinos Rizos Athanasios Tsikerdekis Emmanouil Proestakis Antonis Gkikas Holger Baars Athena Augusta Floutsi Eleni Drakaki Anna Kampouri Eleni Marinou Dave Donovan Angela Benedetti Will McLean Christian Retscher Dimitrios Melas Vassilis Amiridis |
| author_facet | Thanasis Georgiou Konstantinos Rizos Athanasios Tsikerdekis Emmanouil Proestakis Antonis Gkikas Holger Baars Athena Augusta Floutsi Eleni Drakaki Anna Kampouri Eleni Marinou Dave Donovan Angela Benedetti Will McLean Christian Retscher Dimitrios Melas Vassilis Amiridis |
| author_sort | Thanasis Georgiou |
| collection | DOAJ |
| description | The European Space Agency’s AEOLUS mission provides vertical profiles of the horizontal line-of-sight (HLOS) wind component in the troposphere and lower stratosphere, as well as secondary products with retrievals of extinction and backscatter coefficients. Under the scope of the ESA L2A+ project, we present an assimilation system of both wind and aerosol information from AEOLUS in a regional numerical weather prediction model (WRF). This study aims to highlight the impact of such a dataset on desert dust transport through assimilation experiments over the broader North Atlantic Ocean region, which features high dust transport events through the Saharan Air Layer. The results will be validated through comparisons with observations from the ESA-ASKOS/JATAC experiments. |
| first_indexed | 2024-04-24T18:18:29Z |
| format | Article |
| id | doaj.art-d209ffc380904c65ab2b7f18a0d31c8f |
| institution | Directory Open Access Journal |
| issn | 2673-4931 |
| language | English |
| last_indexed | 2024-04-24T18:18:29Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environmental Sciences Proceedings |
| spelling | doaj.art-d209ffc380904c65ab2b7f18a0d31c8f2024-03-27T13:37:38ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-09-0126119310.3390/environsciproc2023026193Utilizing AEOLUS to Improve Dust Transport ModellingThanasis Georgiou0Konstantinos Rizos1Athanasios Tsikerdekis2Emmanouil Proestakis3Antonis Gkikas4Holger Baars5Athena Augusta Floutsi6Eleni Drakaki7Anna Kampouri8Eleni Marinou9Dave Donovan10Angela Benedetti11Will McLean12Christian Retscher13Dimitrios Melas14Vassilis Amiridis15Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceRoyal Netherlands Meteorological Institute (KNMI), 3731 GA De Bilt, The NetherlandsInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceResearch Centre for Atmospheric Physics and Climatology, Academy of Athens (AoA), 10679 Athens, GreeceLeibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, GermanyInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceRoyal Netherlands Meteorological Institute (KNMI), 3731 GA De Bilt, The NetherlandsEuropean Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading RG2 9AX, UKEuropean Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading RG2 9AX, UKEuropean Space Agency, 00044 Frascati, ItalyDepartment of Applied and Environmental Physics, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (NOA), 15236 Athens, GreeceThe European Space Agency’s AEOLUS mission provides vertical profiles of the horizontal line-of-sight (HLOS) wind component in the troposphere and lower stratosphere, as well as secondary products with retrievals of extinction and backscatter coefficients. Under the scope of the ESA L2A+ project, we present an assimilation system of both wind and aerosol information from AEOLUS in a regional numerical weather prediction model (WRF). This study aims to highlight the impact of such a dataset on desert dust transport through assimilation experiments over the broader North Atlantic Ocean region, which features high dust transport events through the Saharan Air Layer. The results will be validated through comparisons with observations from the ESA-ASKOS/JATAC experiments.https://www.mdpi.com/2673-4931/26/1/193data assimilationNWPAEOLUSWRFDARTensemble forecasting |
| spellingShingle | Thanasis Georgiou Konstantinos Rizos Athanasios Tsikerdekis Emmanouil Proestakis Antonis Gkikas Holger Baars Athena Augusta Floutsi Eleni Drakaki Anna Kampouri Eleni Marinou Dave Donovan Angela Benedetti Will McLean Christian Retscher Dimitrios Melas Vassilis Amiridis Utilizing AEOLUS to Improve Dust Transport Modelling Environmental Sciences Proceedings data assimilation NWP AEOLUS WRF DART ensemble forecasting |
| title | Utilizing AEOLUS to Improve Dust Transport Modelling |
| title_full | Utilizing AEOLUS to Improve Dust Transport Modelling |
| title_fullStr | Utilizing AEOLUS to Improve Dust Transport Modelling |
| title_full_unstemmed | Utilizing AEOLUS to Improve Dust Transport Modelling |
| title_short | Utilizing AEOLUS to Improve Dust Transport Modelling |
| title_sort | utilizing aeolus to improve dust transport modelling |
| topic | data assimilation NWP AEOLUS WRF DART ensemble forecasting |
| url | https://www.mdpi.com/2673-4931/26/1/193 |
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