Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data
The aim of this paper is the estimation of precipitation in northern Algeria using satellite data. To do this, a multi-threshold method based on the exploitation of the clouds optical and microphysical properties is developed. Depending on the availability of the MSG / SEVIRI (M eteosat Second Gener...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/30/e3sconf_evf2020_02002.pdf |
| _version_ | 1818963847847870464 |
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| author | Lazri Mourad Labad Karim Brucker Jean Michel Ameur Soltane |
| author_facet | Lazri Mourad Labad Karim Brucker Jean Michel Ameur Soltane |
| author_sort | Lazri Mourad |
| collection | DOAJ |
| description | The aim of this paper is the estimation of precipitation in northern Algeria using satellite data. To do this, a multi-threshold method based on the exploitation of the clouds optical and microphysical properties is developed. Depending on the availability of the MSG / SEVIRI (M eteosat Second Generation/Spinning Enhanced Visible and Infrared Imaging) satellite channels, the database is divided into daytime data and nighttime data. In the learning phase, daytime and nighttime two-dimensional thresholds are determined from comparisons between the MSG / SEVIRI satellite data of rainy season 2010/2011 and the corresponding data from the Sétif meteorological radar. Using linear regression, an empirical relationship between the SEVIRI spectral data and the precipitation intensities from the radar is determined.To estimate rainfall, the determined empirical relationship is ap plied to the validation dataset collected during rainy season 2011/2012. To evaluate the method, a comparison of the estimation results with reference radar data is performed. The results show that these estimations are in good correlation with those measured by radar. |
| first_indexed | 2024-12-20T12:51:44Z |
| format | Article |
| id | doaj.art-c7d56d680bb24043a0ecdf810085e4b2 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-20T12:51:44Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-c7d56d680bb24043a0ecdf810085e4b22022-12-21T19:40:10ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011700200210.1051/e3sconf/202017002002e3sconf_evf2020_02002Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI dataLazri Mourad0Labad Karim1Brucker Jean Michel2Ameur Soltane3Laboratoire LAMPA, Université M ouloud MAMMERIECAM-EPM I/QUARTZ-LabECAM-EPM I/QUARTZ-LabLaboratoire LAMPA, Université M ouloud MAMMERIThe aim of this paper is the estimation of precipitation in northern Algeria using satellite data. To do this, a multi-threshold method based on the exploitation of the clouds optical and microphysical properties is developed. Depending on the availability of the MSG / SEVIRI (M eteosat Second Generation/Spinning Enhanced Visible and Infrared Imaging) satellite channels, the database is divided into daytime data and nighttime data. In the learning phase, daytime and nighttime two-dimensional thresholds are determined from comparisons between the MSG / SEVIRI satellite data of rainy season 2010/2011 and the corresponding data from the Sétif meteorological radar. Using linear regression, an empirical relationship between the SEVIRI spectral data and the precipitation intensities from the radar is determined.To estimate rainfall, the determined empirical relationship is ap plied to the validation dataset collected during rainy season 2011/2012. To evaluate the method, a comparison of the estimation results with reference radar data is performed. The results show that these estimations are in good correlation with those measured by radar.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/30/e3sconf_evf2020_02002.pdf |
| spellingShingle | Lazri Mourad Labad Karim Brucker Jean Michel Ameur Soltane Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data E3S Web of Conferences |
| title | Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data |
| title_full | Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data |
| title_fullStr | Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data |
| title_full_unstemmed | Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data |
| title_short | Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data |
| title_sort | precipitation estimation by a multi threshold method using cloud optical and microphysical properties from msg seviri data |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/30/e3sconf_evf2020_02002.pdf |
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