Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images

Öz

The objective of this paper is the estimation of rainfall over the Algerian territory using MSG (Meteosat Second Generation) infrared data. To achieve this aim, we applied a calibrated GPI (GOES Precipitation Index) approach. This technique is tested to the complex situation of the Mediterranean climate. The rainfall estimated is obtained by using an affectation of adapted rain rates for a brightness temperature. These rain rates are determinate by analysing two years of in situ measures. The tests have been concluded during the rainy months January, February, and September of 2006/2007. The results show a good correlation between measured and estimated rainfall in winter and summer where stratiform and convective cells are present.

Anahtar Kelimeler

• Meteorological satellite, Mediterranean climate, IR MSG images data, Convective and Stratiform clouds, GPI approach

Kaynakça

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2. R. F. Adler, G. J. Huffman, A. Chang, R. Ferraro, P.-P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Susskind, P. Arkin, et E. Nelkin, “The Version-2 Global Precipitation Climatology Project (GPCP) Monthly
3. Hydrometeorol., vol. 4, no 6, p. 1147‑1167, déc. 2003.
4. J. S. Ojo et T. V. Omotosho, “Comparison of 1-min rain rate derived from TRMM satellite data and raingauge data for microwave applications in Nigeria,” J. Atmospheric Sol.-Terr. Phys., vol. 102, p. 17‑25, sept. 2013.
5. A. K. Mishra, R. M. Gairola, A. K. Varma, et V. K. Agarwal, “ Improved rainfall estimation over the Indian region using satellite infrared technique,” Adv. Space Res., vol. 48, no 1, p. 49‑55, juill. 2011.
6. R. F. Adler et A. J. Negri, “A satellite infrared technique to estimate tropical convective and stratiform rainfall,” J. Appl. Meteorol., vol. 27, no 1, p. 30–51, 1988.
7. P. A. Arkin, “The Relationship between Fractional Coverage of High Cloud and Rainfall Accumulations during GATE over the B-Scale Array,” Mon. Weather Rev., vol. 107, no 10, p. 1382‑1387, oct. 1979.
8. A. T. Haile, T. Rientjes, A. Gieske, et M. Gebremichael, “Multispectral remote sensing for rainfall detection and estimation at the source of the Blue Nile River,” Int. J. Appl. Earth Obs. Geoinformation, vol. 12, Supplement 1, p. S76‑S82, févr. 2010.

9. R. F. Adler, A. J. Negri, P. R. Keehn, et I. M. Hakkarinen, “Estimation of monthly rainfall over Japan and surrounding waters from a combination of low-orbit microwave and geosynchronous IR data,” J. Appl. Meteorol., vol. 32, no 2, p. 335–356, 1993.
10. L. Xu, X. Gao, S. Sorooshian, P. A. Arkin, et B. Imam, “A Microwave Infrared Threshold Technique to Improve the GOES Precipitation Index ,” J. Appl. Meteorol., vol. 38, no 5, p. 569‑579, mai 1999.
11. R. Tarruella et J. Jorge, “Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula,” Int. J. Climatol., vol. 23, no 14, p. 1757–1769, 2003. Analysis (1979–Present),
12. J. [3] [4] [5] [6] [7] [8] [9]
13. M. Lazri, S. Ameur, J. M. Brucker, J. Testud, B. Hamadache, S. Hameg, F. Ouallouche, et Y. Mohia, “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., vol. 3, no 1, p. 1‑11, mars 2013.
14. T. Nauss et A. A. Kokhanovsky, “Discriminating raining clouds from
15. multispectral satellite data,” Atmos Chem Phys, vol. 6, no 12, p. 5031‑5036, nov. 2006. at mid-latitudes
16. using [12] (2013) EUMETSAT- MSG Level 1.5 Image Data Format Description.
17. https://www.eumetsat.int/website/home/Data/Products/For mats/index.html Available: