| Issue |
E3S Web Conf.
Volume 170, 2020
6th International Conference on Energy and City of the Future (EVF’2019)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 6 | |
| Section | Factories of Future | |
| DOI | https://doi.org/10.1051/e3sconf/202017002002 | |
| Published online | 28 May 2020 | |
Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data
1 Laboratoire LAMPA, Université M ouloud MAMMERI, Tizi-Ouzou, (Algérie)
2 ECAM-EPM I/QUARTZ-Lab, (France)
* Corresponding author: m_lazri@yahoo.fr
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.