• DocumentCode
    3114517
  • Title

    The seasonality and locality of low frequency oscillation by wavelet analysis

  • Author

    Chen, Wen ; Zhi, Xiefei ; Yang, Hao ; Liu, Jianjun

  • Author_Institution
    Key Lab. of Meteorol. Disaster of Minist. of Educ., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2011
  • fDate
    26-28 March 2011
  • Firstpage
    631
  • Lastpage
    635
  • Abstract
    Morlet wavelet analysis and other statistical methods are applied to investigate the seasonality and locality of the low frequency oscillation (LFO) in the atmosphere based on the horizontal winds at 850 hPa and 200 hPa from NCEP/NCAR reanalyses I data. The analyses are conducted in four different areas including Indian Ocean, the tropical western Pacific, the western Pacific subtropical high area and the Ural- Okhotsk belt. The results show that significant seasonal variations exist in above mentioned areas. These seasonal variations are mainly defined as four patterns, namely, the period variation from long to short period (Pattern I), the period change from short to long period (Pattern II), the inconspicuous period variation (Pattern III), and branching wavelet energy (Pattern VI). In addition, an interesting phenomenon, the branching WE, exists in all seasons and areas. Moreover, the variations of the LFO and its period change with space are found in the same season.
  • Keywords
    atmospheric movements; statistical analysis; tides; wavelet transforms; wind; Indian Ocean; Morlet wavelet analysis; NCEP/NCAR reanalyses I data; Ural-Okhotsk belt; atmosphere oscillation; branching wavelet energy; horizontal wind; inconspicuous period variation; low frequency oscillation; seasonal variation; statistical method; tropical western Pacific; western Pacific subtropical high area; Belts; Propagation; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9440-8
  • Type

    conf

  • DOI
    10.1109/ICIST.2011.5765328
  • Filename
    5765328