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Determination of characteristics of atmospheric motions from satellite multiwave remote sensing data

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Abstract

A method of determination of atmospheric dynamic characteristics from the data of remote sensing from a geostationary satellite is described. The method is based on the use of inhomogeneities in the concentration field of a conservative additive as tracers and on the application of correlation-extreme algorithms. Unlike the common methods used abroad, this method is able to determine not only the vector field of wind velocity but also the coefficient of turbulent diffusion and vorticity. Results of computations of the fields of the horizontal component of wind velocity and the effective coefficient of horizontal mesoscale turbulent diffusion from the Meteosat-8 SEVIRI water-vapor channel data are presented. It is shown that the average values of the effective coefficient of mesoscale horizontal turbulent diffusion in the areas with a predominantly turbulized air-mass motion are 1.5 times greater than in the areas where a laminar motion dominates. Specific features of the calculated values of the upper-troposphere dynamic characteristics in different stages of the North Atlantic TC Helene (September 2006) are analyzed.

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References

  1. Proceedings EUMETSAT. EUM P.42: Winds Workshop ISSN 1023-0416 (Darmstadt, 2005).

  2. W. P. Menzel, “Cloud Tracking with Satellite Imagery: From the Pioneering Work of Ted Fujita to the Present,” Bull. Am. Meteorol. Soc. 82, 33–47 (2001).

    Article  Google Scholar 

  3. K. Holmlund, “Current Status of Operational Wind Derivation at EUMETSAT,” in Proceedings of EUMETSAT. EUM P. 42: Winds Workshop, ISSN 1023-0416 (Darmstadt, 2005), pp. 45–52.

  4. J. Daniels, Ch. Velden, W. Bresky, and A. Irving, “Status of the NOAA/NESDIS Operational Satellite Wind Product System: Recent Improvements, New Products, Product Quality, and Future Plans,” in Proceedings of EUMETSAT. EUM P.42: Winds Workshop, ISSN 1023-0416 (Darmstadt, 2005), pp. 31–44.

  5. J. Key, D. Santek, C. S. Velden, et al., “Cloud-Drift and Water Vapor Winds in the Polar Regions from MODIS,” IEEE Trans. Geosci. Remote Sensing 41, 482–492 (2003).

    Article  Google Scholar 

  6. J. Goerss, C. S. Velden, and J. Hawkins, “The Impact of Multispectral GOES-8 Wind Information on Atlantic Tropical Cyclone Track Forecasts in 1995. Part 2: NOGAPS Forecasts,” Mon. Weather Rev. 126, 1219–1227 (1998).

    Article  Google Scholar 

  7. B. J. Soden, C. S. Velden, and R. E. Tuleya, “The Impact of Satellite Winds on Experimental GFDL Hurricane Model Forecasts,” Mon. Weather Rev. 129, 835–852 (2001).

    Article  Google Scholar 

  8. L. Isaksen, “Ad Stoffelen. ERS-Scatterometer Wind Data Impact on ECMWF’s Tropical Cyclone Forecasts,” IEEE Trans. Geosci. Remote Sensing 38, 1885–1892 (2000).

    Article  Google Scholar 

  9. Ad Stoffelen, Gert-Jan Marseille, and Jan Barkmeijer, “Sensitivity Approach to Study Doppler Wind Lidar Sampling Requirements for Extreme Weather Prediction,” in Proceedings EUMETSAT. EUM P.42: Winds Workshop, ISSN 1023-0416 (Darmstadt, 2005).

  10. V. I. Babii, Small-Scale Structure of the Field of Velocity of Sound in the Ocean (Gidrometeoizdat, Leningrad, 1983) [in Russian].

    Google Scholar 

  11. SEVIRI, Channel Spectral Bands, http://www.esrin.esa.it/msg/pag4.html

  12. Atmosphere: Handbook (Gidrometeoizdat, Leningrad, 1991) [in Russian].

  13. D. Ramond, H. Corbin, M. Desbois, et al., “The Dynamics of Polar Jet Streams As Depicted by the Meteosat WV Channel Radiance Field,” Mon. Weather Rev. 109, 2164–2176 (1981).

    Article  Google Scholar 

  14. M. M. Poc and M. Roulleau, “Water Vapour Field Deduced from Meteosat-1 Water Vapour Channel Data,” J. Clim. Appl. Meteorol. 22, 11 628–11 635 (1983).

    Article  Google Scholar 

  15. A. F. Nerushev and E. K. Kramchaninova, “Determination of Dynamic Characteristics of the Middle Troposphere from the METEOSAT Data in the Water-Vapor Absorption Band,” Issled. Zemli Kosmosa, No. 1, 74–79 (1993).

  16. S. P. Khromov and L. I. Mamontova, Meteorological Dictionary (Gidrometeoizdat, Leningrad, 1974) [in Russian].

    Google Scholar 

  17. G. S. Golitsyn, “Explanation for the Law of Relative Turbulent Diffusion in the Atmosphere and on the Ocean Surface,” Dokl. Akad. Nauk 380, 676–679 (2001).

    Google Scholar 

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Authors and Affiliations

  1. NPO Taifun, pr. Lenina 82, Obninsk, Kaluga oblast, 249038, Russia

    A. F. Nerushev & E. K. Kramchaninova

  2. NITs Planeta, Bol’shoi Predtechenskii per. 7, Moscow, 123242, Russia

    V. I. Solov’ev

Authors
  1. A. F. Nerushev
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  2. E. K. Kramchaninova
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  3. V. I. Solov’ev
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Correspondence to A. F. Nerushev.

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Original Russian Text © A.F. Nerushev, E.K. Kramchaninova, V.I. Solov’ev, 2007, published in Izvestiya AN. Fizika Atmosfery i Okeana, 2007, Vol. 43, No. 4, pp. 482–491.

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Nerushev, A.F., Kramchaninova, E.K. & Solov’ev, V.I. Determination of characteristics of atmospheric motions from satellite multiwave remote sensing data. Izv. Atmos. Ocean. Phys. 43, 442–450 (2007). https://doi.org/10.1134/S0001433807040068

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