Vol. 29, issue 07, article # 8

Astafurov V.G., Skorokhodov A.V. Identification of atmospheric gravity waves сloud views above water surface by satellite imagery MODIS. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 579-584 [in Russian].
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Abstract:

We consider an algorithm for identification of atmospheric gravity waves cloud views above water surface by MODIS imagery with 1000-m spatial resolution. Areas of the planet are outlined where these phenomena are the most frequent. Annual repeatability of atmospheric gravity waves сloud views is determined to the coasts of the Arabian Peninsula, and Australia, Mozambique Channel, and the Kurile Islands. We give a description of these phenomena identification algorithm based on Viola–Jones method. The cloud types, which forme atmospheric gravity waves cloud views are defined. The results of their identification in full-sized MODIS imagery of different planet regions are discussed.

Keywords:

atmospheric gravity waves, cloudiness, Haar-like features, pattern recognition, satellite data, stratification

References:


  1. Aleksanin A.I., Kim V. Avtomaticheskoe obnaruzhenie vnutrennih voln na sputnikovyh izobrazhenijah i ocenka plotnosti peremeshannogo sloja // Issled. Zemli iz kosmosa. 2015. N 1. P. 44–52.

  2. Kashkin V.B. Vnutrennie gravitacionnye volny v troposfere // Optika atmosf. i okeana. 2013. V. 26, N 10. P. 908–916; Kashkin V.B. Interval gravity waves in the troposphere // Atmos. Ocean. Opt. 2014. V. 27, N 1. P. 1–9.

  3. Kamardin A.P., Odincov S.L., Skorohodov A.V. Identifikacija vnutrennih gravitacionnyh voln v atmosfernom pogranichnom sloe po dannym sodara // Optika atmosf. i okeana. 2014. V. 27, N 7. P. 812–818.

  4. Gossard Je.Je., Huk U.K. Volny v atmosfere. M.: Mir, 1978. 532 p.

  5. Kamardin A.P., Kohanenko G.P., Nevzorova I.V., Penner I.Je. Sovmestnye issledovanija struktury pogranichnogo sloja atmosfery na osnove lidarnyh i sodarnyh izmerenij // Optika atmosf. i okeana. 2011. V. 24, N 6. P. 534–537.

  6. Rodenas J., Garello R. Internal wave detection and location in SAR images using wavelet transform // IEEE Trans. Geosci. Remote Sens. 1998. V. 36, N 5. P. 1494–1507.

  7. Jackson C. Internal wave detection using the Moderate Resolution Imaging Spectroradiometer (MODIS) // J. Geophys. Res. 2007. V. 112. C11012. DOI: 10.1029/ 2007JC004220.

  8. Vel'tishhev N.F., Stepanenko V.M. Mezometeorologicheskie processy. M.: MGU, 2006. 101 p.

  9. Zilitinkevich S.S., Elperin T., Kleorin N., L’vov V., Rogachevskii I. Energy and flux-budget turbulence closure model for stably stratified flows. Part II: The role of internal gravity waves // Bound.-Lay. Meteorol. 2009. V. 133, N 2. P. 139–164.

  10. Largeron Y., Staquet C., Chamel C. Characterization of oscillatory motion in the stable atmosphere of a deep valley // Bound.-Lay. Meteorol. 2013. V. 148, N 2. P. 439–459.

  11. Serebrjanyj A.N. Sliko- i suloeobrazujushhie javlenija v more. Vnutrennie volny // Sovremennye problemy distancionnogo zondirovanija Zemli iz Kosmosa. 2012. V. 9, N 2. P. 275–286.

  12. Ivanov A.Ju. O raspoznavanii poverhnostnyh projavlenij okeanskih vnutrennih voln i atmosfernyh gravitacionnyh voln na radiolokacionnyh izobrazhenijah morskoj poverhnosti // Issled. Zemli iz kosmosa. 2011. N 1. P. 70–85.

  13. Simonin D., Tatnall A.R., Robinson I.S. The automated detection and recognition of internal waves // Int. J. Remote Sens. 2009. V. 30, N 17. P. 4581–4598.

  14. MODIS-Atmosphere / U.S. Government Computer System, 2000. 2016. URL: http://modis-atmos.gsfc.nasa.gov

  15. Space Science and Engineering Center / University of Wisconsin-Madison, 1996–2016. URL:  https://www. ssec.wisc.edu (access data 15.01.2016).

  16. German M.A. Sputnikovaja meteorologija. L.: Gidrometeoizdat, 1975. 368 p.

  17. Skorohodov A.V., Aksenov S.V., Aksenov A.V., Lajkom D.N. Ispol'zovanie razlichnyh vychislitel'nyh sistem dlja reshenija zadachi avtomaticheskoj klassifikacii oblachnosti po sputnikovym dannym MODIS na osnove verojatnostnoj nejronnoj seti // Izvestija Tomskogo politehnicheskogo universiteta. Inzhiniring georesursov. 2016. V. 327, N 1. P. 30–38.

  18. Viola P., Jones M.J. Robust real-time face detection // Int. J. Comput. Vision. 2004. V. 57, N 2. P. 137–154.

  19. Gonsales R., Vuds R. Cifrovaja obrabotka izobrazhenij. M.: Tehnosfera, 2005. 1072 p.

  20. Schapire R., Freund Y., Barlett P., Lee W. Boosting the margin: A new explanation for the effectiveness of voting methods // The Annals of Statistics. 1998. V. 26, N 5. P. 1651–1686.


  21.  

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