A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations
This study exploits the Meteosat Second Generation (MSG)–Spinning Enhanced Visible and Infrared Imager (SEVIRI) observations to evaluate the rain class at high spatial and temporal resolutions and, to this aim, proposes the Rain Class Evaluation from Infrared and Visible observation (RainCEIV) techn...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-07-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/18/2559/2014/hess-18-2559-2014.pdf |
| _version_ | 1818430254697414656 |
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| author | E. Ricciardelli D. Cimini F. Di Paola F. Romano M. Viggiano |
| author_facet | E. Ricciardelli D. Cimini F. Di Paola F. Romano M. Viggiano |
| author_sort | E. Ricciardelli |
| collection | DOAJ |
| description | This study exploits the Meteosat Second Generation (MSG)–Spinning Enhanced
Visible and Infrared Imager (SEVIRI) observations to evaluate the rain class
at high spatial and temporal resolutions and, to this aim, proposes the Rain
Class Evaluation from Infrared and Visible observation (RainCEIV) technique.
RainCEIV is composed of two modules: a cloud classification algorithm which
individuates and characterizes the cloudy pixels, and a supervised classifier
that delineates the rainy areas according to the three rainfall intensity
classes, the <i>non-rainy</i> (rain rate value < 0.5 mm h<sup>-1</sup>)
class, the <i>light-to-moderate rainy</i> class
(0.5 mm h<sup>−1</sup> ≤ rain rate value < 4 mm h<sup>-1</sup>), and the
<i>heavy–to-very-heavy-rainy</i> class (rain rate
value ≥ 4 mm h<sup>-1</sup>). The second module considers as input the
spectral and textural features of the infrared and visible SEVIRI
observations for the cloudy pixels detected by the first module. It also
takes the temporal differences of the brightness temperatures linked to the
SEVIRI water vapour channels as indicative of the atmospheric instability
strongly related to the occurrence of rainfall events.
<br><br>
The rainfall rates used in the training phase are obtained through the
Precipitation Estimation at Microwave frequencies, PEMW (an algorithm for
rain rate retrievals based on Atmospheric Microwave Sounder Unit (AMSU)-B
observations). RainCEIV's principal aim is that of supplying preliminary
qualitative information on the rainy areas within the Mediterranean Basin
where there is no radar network coverage. The results of RainCEIV have been
validated against radar-derived rainfall measurements from the Italian
Operational Weather Radar Network for some case studies limited to the
Mediterranean area. The dichotomous assessment related to daytime (nighttime)
validation shows that RainCEIV is able to detect rainy/non-rainy areas with
an accuracy of about 97% (96%), and when all the rainy classes are
considered, it shows a Heidke skill score of 67% (62%), a bias
score of 1.36 (1.58), and a probability of detection of rainy areas of
81% (81%). |
| first_indexed | 2024-12-14T15:30:30Z |
| format | Article |
| id | doaj.art-4d7a6ed795d4475bab710b7d239ea835 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-14T15:30:30Z |
| publishDate | 2014-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-4d7a6ed795d4475bab710b7d239ea8352022-12-21T22:55:54ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382014-07-011872559257610.5194/hess-18-2559-2014A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observationsE. Ricciardelli0D. Cimini1F. Di Paola2F. Romano3M. Viggiano4National Research Council of Italy – Institute of Methodologies for Environmental Analysis, c. da S. Loja, 85050 Potenza, ItalyNational Research Council of Italy – Institute of Methodologies for Environmental Analysis, c. da S. Loja, 85050 Potenza, ItalyNational Research Council of Italy – Institute of Methodologies for Environmental Analysis, c. da S. Loja, 85050 Potenza, ItalyNational Research Council of Italy – Institute of Methodologies for Environmental Analysis, c. da S. Loja, 85050 Potenza, ItalyNational Research Council of Italy – Institute of Methodologies for Environmental Analysis, c. da S. Loja, 85050 Potenza, ItalyThis study exploits the Meteosat Second Generation (MSG)–Spinning Enhanced Visible and Infrared Imager (SEVIRI) observations to evaluate the rain class at high spatial and temporal resolutions and, to this aim, proposes the Rain Class Evaluation from Infrared and Visible observation (RainCEIV) technique. RainCEIV is composed of two modules: a cloud classification algorithm which individuates and characterizes the cloudy pixels, and a supervised classifier that delineates the rainy areas according to the three rainfall intensity classes, the <i>non-rainy</i> (rain rate value < 0.5 mm h<sup>-1</sup>) class, the <i>light-to-moderate rainy</i> class (0.5 mm h<sup>−1</sup> ≤ rain rate value < 4 mm h<sup>-1</sup>), and the <i>heavy–to-very-heavy-rainy</i> class (rain rate value ≥ 4 mm h<sup>-1</sup>). The second module considers as input the spectral and textural features of the infrared and visible SEVIRI observations for the cloudy pixels detected by the first module. It also takes the temporal differences of the brightness temperatures linked to the SEVIRI water vapour channels as indicative of the atmospheric instability strongly related to the occurrence of rainfall events. <br><br> The rainfall rates used in the training phase are obtained through the Precipitation Estimation at Microwave frequencies, PEMW (an algorithm for rain rate retrievals based on Atmospheric Microwave Sounder Unit (AMSU)-B observations). RainCEIV's principal aim is that of supplying preliminary qualitative information on the rainy areas within the Mediterranean Basin where there is no radar network coverage. The results of RainCEIV have been validated against radar-derived rainfall measurements from the Italian Operational Weather Radar Network for some case studies limited to the Mediterranean area. The dichotomous assessment related to daytime (nighttime) validation shows that RainCEIV is able to detect rainy/non-rainy areas with an accuracy of about 97% (96%), and when all the rainy classes are considered, it shows a Heidke skill score of 67% (62%), a bias score of 1.36 (1.58), and a probability of detection of rainy areas of 81% (81%).http://www.hydrol-earth-syst-sci.net/18/2559/2014/hess-18-2559-2014.pdf |
| spellingShingle | E. Ricciardelli D. Cimini F. Di Paola F. Romano M. Viggiano A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations Hydrology and Earth System Sciences |
| title | A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations |
| title_full | A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations |
| title_fullStr | A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations |
| title_full_unstemmed | A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations |
| title_short | A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations |
| title_sort | statistical approach for rain intensity differentiation using meteosat second generation spinning enhanced visible and infrared imager observations |
| url | http://www.hydrol-earth-syst-sci.net/18/2559/2014/hess-18-2559-2014.pdf |
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