Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data

Mourad Lazri; Karim Labad; Jean Michel Brucker; Soltane Ameur

doi:10.1051/e3sconf/202017002002

All issues

Volume 170 (2020)

E3S Web Conf., 170 (2020) 02002

References

Open Access

Issue		E3S Web Conf. Volume 170, 2020 6^th 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

Trigo, R., Xoplaki, E., Zorita, E., Luterbacher, J., Krichak, S.O., Alpert, P., Jacobeit, J., Sàenz, J., Fernàndez, J., Gonzàlez-Rouco, F., Garcia-Herrera, R., Rodo, X., Brunetti, M., Nanni, T., Maugeri, M., Turkex, M., Gimeno, 18 L., Ribera, P., Brunet, M., Trigo, I.F., Crepon, M., Mariotti, A., Chapter 3 Relations between variability in the Mediterranean region and mid-latitude variability. In: Developments in Earth and Environmental Sciences, vol. 4. Elsevier, pp. 179–226 (2006). [Google Scholar]
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Ebert, E.E., Janowiak, J.E., Kidd, C., Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bull. Am. Meteorol. Soc. 88, 47–64 (2007) [Google Scholar]
Thies, B., Nauss, T., & Bendix, J., Precipitation process and rainfall intensity differentiation using Meteosat Second Generation SEVIRI data. Journal of Geophysical Research, 113, 19 (2008). [Google Scholar]
Lazri, M., Ameur, S.,. A satellite rainfall retrieval technique over northern Algeria based on the probability of rainfall intensities classification from MSG-SEVIRI. J. Atmos. Sol. Terr. Phys. 147, 106–120 (2016). [Google Scholar]
Levizzani, V., Satellite rainfall estimations: new perspectives for meteorology and climate from the EURAINSAT project, Ann. Geophys., 46, 363–372, http://www.ann-geophys.net/46/363/2003/ (2003). [Google Scholar]
Nauss, T., Kokhanovsky, A.A., Assignment of rainfall confidence values using multispectral satellite data at mid-latitudes: first results. Adv. Geosci. 10, 99–102 (2007). [CrossRef] [Google Scholar]
Roebeling, R.A., Holleman, I., SEVIRI rainfall retrieval and validation using weather radar observations. J. Geophys. Res. 114 (2009). [Google Scholar]
Lazri, M., Ameur, S., Mohia, Y., Instantaneous rainfall estimation using neural network from multispectral observations of SEVIRI radiometer and its application in estimation of daily and monthly rainfall. Adv. Space Res. 53, 138–155 (2014). [Google Scholar]
Schmetz, J., Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S., Ratier, A., 2002. An introduction to Meteosat Second Generation (MSG). Bull. Am. Meteorol. Soc. 83, 977–992 (2002). [Google Scholar]
Lazri, M., Ameur, S., Brucker, J.M., Testud, J., Hamadache, B., Hameg, S., Ouallouche, F., Mohia, Y., Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data. Appl. Water Sci. 3, 1–11 (2013). [Google Scholar]
Bensafi N., Lazri M., Ameur S., Novel WkNN-based technique to improve instantaneous rainfall estimation over the north of Algeria using the multispectral MSG SEVIRI imagery, Journal of Atmospheric and Solar-Terrestrial Physics, doi.org/10.1016/j.jastp.2018.12.004 (2019). [Google Scholar]

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[1] Trigo, R., Xoplaki, E., Zorita, E., Luterbacher, J., Krichak, S.O., Alpert, P., Jacobeit, J., Sàenz, J., Fernàndez, J., Gonzàlez-Rouco, F., Garcia-Herrera, R., Rodo, X., Brunetti, M., Nanni, T., Maugeri, M., Turkex, M., Gimeno, 18 L., Ribera, P., Brunet, M., Trigo, I.F., Crepon, M., Mariotti, A., Chapter 3 Relations between variability in the Mediterranean region and mid-latitude variability. In: Developments in Earth and Environmental Sciences, vol. 4. Elsevier, pp. 179–226 (2006). [Google Scholar]

[2] Hong, Y., Hsu, K.-L., Sorooshian, S., Gao, X., Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system. J. Appl. Meteorol. 43, 1834–1853 (2004). [CrossRef] [Google Scholar]

[3] Ebert, E.E., Janowiak, J.E., Kidd, C., Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bull. Am. Meteorol. Soc. 88, 47–64 (2007) [Google Scholar]

[4] Thies, B., Nauss, T., & Bendix, J., Precipitation process and rainfall intensity differentiation using Meteosat Second Generation SEVIRI data. Journal of Geophysical Research, 113, 19 (2008). [Google Scholar]

[5] Lazri, M., Ameur, S.,. A satellite rainfall retrieval technique over northern Algeria based on the probability of rainfall intensities classification from MSG-SEVIRI. J. Atmos. Sol. Terr. Phys. 147, 106–120 (2016). [Google Scholar]

[6] Levizzani, V., Satellite rainfall estimations: new perspectives for meteorology and climate from the EURAINSAT project, Ann. Geophys., 46, 363–372, http://www.ann-geophys.net/46/363/2003/ (2003). [Google Scholar]

[7] Nauss, T., Kokhanovsky, A.A., Assignment of rainfall confidence values using multispectral satellite data at mid-latitudes: first results. Adv. Geosci. 10, 99–102 (2007). [CrossRef] [Google Scholar]

[8] Roebeling, R.A., Holleman, I., SEVIRI rainfall retrieval and validation using weather radar observations. J. Geophys. Res. 114 (2009). [Google Scholar]

[9] Lazri, M., Ameur, S., Mohia, Y., Instantaneous rainfall estimation using neural network from multispectral observations of SEVIRI radiometer and its application in estimation of daily and monthly rainfall. Adv. Space Res. 53, 138–155 (2014). [Google Scholar]

[10] Schmetz, J., Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S., Ratier, A., 2002. An introduction to Meteosat Second Generation (MSG). Bull. Am. Meteorol. Soc. 83, 977–992 (2002). [Google Scholar]

[11] Lazri, M., Ameur, S., Brucker, J.M., Testud, J., Hamadache, B., Hameg, S., Ouallouche, F., Mohia, Y., Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data. Appl. Water Sci. 3, 1–11 (2013). [Google Scholar]

[12] Bensafi N., Lazri M., Ameur S., Novel WkNN-based technique to improve instantaneous rainfall estimation over the north of Algeria using the multispectral MSG SEVIRI imagery, Journal of Atmospheric and Solar-Terrestrial Physics, doi.org/10.1016/j.jastp.2018.12.004 (2019). [Google Scholar]