Detecting Source Regions of Wave Activities in the Tropical Atmosphere by Applying Beamforming to Interpolated Data Grids

Qi Hu School of Natural Resources, and Department of Geosciences, University of Nebraska at Lincoln, Lincoln, Nebraska

Search for other papers by Qi Hu in
Current site
Google Scholar
PubMed
Close
,
Zhaoning Liang School of Natural Resources, and Department of Geosciences, University of Nebraska at Lincoln, Lincoln, Nebraska

Search for other papers by Zhaoning Liang in
Current site
Google Scholar
PubMed
Close
, and
Michael W. Hoffman Department of Electrical Engineering, University of Nebraska at Lincoln, Lincoln, Nebraska

Search for other papers by Michael W. Hoffman in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Wave activities are primary sources of weather disturbances and cyclones in the tropical atmosphere. One such activity is the intraseasonal variations in wind, convection, and precipitation in the tropical Indian and western tropical Pacific region. These variations affect the intensity, break and reset, and rainfall in the Indian and the East Asian monsoons. Detecting the source regions of these wave activities is essential for understanding and for prediction of wave development. In this study, a fixed beamforming method is proposed to deduce source regions of some wave activities in the tropical atmosphere. This method is tested with simulations of single and distributed complex sources of waves and, then, fixed beamformers are applied to the ECMWF interpolated data grids to detect and identify source regions of the intraseasonal oscillations–waves in the tropical Indian and tropical Pacific Ocean region. Results show that the fixed beamforming technique can uniquely identify the source regions of the intraseasonal oscillations. Applications of this method have revealed various source regions of all major intraseasonal oscillation (ISO) events in the tropical Indian and western equatorial Pacific region during the 29 yr from 1974 to 2002. Knowing these source regions will make it possible to extract the relevant information and, thus, to better understand the development of the intraseasonal oscillations as well as their effects on the tropical weather and climate.

Corresponding author address: Dr. Qi Hu, University of Nebraska at Lincoln, 707 Hardin Hall, Lincoln, NE 68583-0987. Email: qhu2@unl.edu

Abstract

Wave activities are primary sources of weather disturbances and cyclones in the tropical atmosphere. One such activity is the intraseasonal variations in wind, convection, and precipitation in the tropical Indian and western tropical Pacific region. These variations affect the intensity, break and reset, and rainfall in the Indian and the East Asian monsoons. Detecting the source regions of these wave activities is essential for understanding and for prediction of wave development. In this study, a fixed beamforming method is proposed to deduce source regions of some wave activities in the tropical atmosphere. This method is tested with simulations of single and distributed complex sources of waves and, then, fixed beamformers are applied to the ECMWF interpolated data grids to detect and identify source regions of the intraseasonal oscillations–waves in the tropical Indian and tropical Pacific Ocean region. Results show that the fixed beamforming technique can uniquely identify the source regions of the intraseasonal oscillations. Applications of this method have revealed various source regions of all major intraseasonal oscillation (ISO) events in the tropical Indian and western equatorial Pacific region during the 29 yr from 1974 to 2002. Knowing these source regions will make it possible to extract the relevant information and, thus, to better understand the development of the intraseasonal oscillations as well as their effects on the tropical weather and climate.

Corresponding author address: Dr. Qi Hu, University of Nebraska at Lincoln, 707 Hardin Hall, Lincoln, NE 68583-0987. Email: qhu2@unl.edu

Save
  • Blade, I., and Hartmann D. L. , 1993: Tropical intraseasonal oscillations in a simple nonlinear model. J. Atmos. Sci., 50 , 29222939.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chang, C. P., 1977: Viscous internal gravity waves and low-frequency oscillations in the tropics. J. Atmos. Sci., 34 , 901910.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chang, C. P., and Lim H. , 1988: Kelvin wave-CISK: A possible mechanism for the 30–50 day oscillations. J. Atmos. Sci., 45 , 17091720.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cheong, B. L., Hoffman M. W. , Palmer R. D. , Frasier S. J. , and López-Dekker F. J. , 2004: Pulse pair beamforming and the effects of reflectivity field variations on imaging radars. Radio Sci., 39 , RS3014. doi:10.1029/2002RS002843.

    • Search Google Scholar
    • Export Citation
  • Duchon, C. E., 1979: Lanczos filtering in one and two dimensions. J. Appl. Meteor., 18 , 10161022.

  • Emanuel, K. A., 1987: Air-sea interaction model of intraseasonal oscillations in the tropics. J. Atmos. Sci., 44 , 23242340.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gustafson, W. I., and Weare B. C. , 2004a: MM5 modeling of the Madden–Julian oscillation in the Indian and west Pacific Oceans: Model description and control run results. J. Climate, 17 , 13201337.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gustafson, W. I., and Weare B. C. , 2004b: MM5 modeling of the Madden–Julian oscillation in the Indian and west Pacific Oceans: Implications of 30–70-day boundary effects on MJO development. J. Climate, 17 , 13381351.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Houze R. A. Jr., , Chen S. Y. , Kinsmill D. E. , Serra Y. , and Yuter S. E. , 2000: Convection over the Pacific warm pool in relation to the atmospheric Kelvin–Rossby wave. J. Atmos. Sci., 57 , 30583089.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hsu, H. H., Hoskins B. J. , and Jin F-F. , 1990: The 1985/86 intraseasonal oscillation and the role of the extratropics. J. Atmos. Sci., 47 , 823839.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hu, Q., and Randall D. A. , 1994: Low-frequency oscillations in radiative–convective systems. J. Atmos. Sci., 51 , 10891099.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hu, Q., and Randall D. A. , 1995: Low-frequency oscillations in radiative–convective systems. Part II: An idealized model. J. Atmos. Sci., 52 , 478490.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kiladis, G. N., Straub K. H. , and Haertel P. T. , 2005: Zonal and vertical structure of the Madden–Julian oscillation. J. Atmos. Sci., 62 , 27902809.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lacoss, R. T., 1968: Adaptive combining of wideband array data for optimal reception. IEEE Trans. Geosci. Electron., 6 , 7886.

  • Landsea, C. W., and Gray W. M. , 1992: The strong association between western Sahelian monsoon rainfall and intense Atlantic hurricanes. J. Climate, 5 , 435453.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lau, K. M., and Chen P. H. , 1986: Aspects of the 40-50 day oscillation during northern summer as inferred from outgoing longwave radiation. Mon. Wea. Rev., 114 , 13541367.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lau, K. M., and Peng L. , 1987: Origin of low-frequency (intraseasonal) oscillations in the tropical atmosphere. Part I: Basic theory. J. Atmos. Sci., 44 , 950972.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liebmann, B., and Smith C. A. , 1996: Description of a complete outgoing longwave radiation dataset. Bull. Amer. Meteor. Soc., 77 , 12751277.

    • Search Google Scholar
    • Export Citation
  • Madden, R. A., and Julian P. R. , 1971: Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific. J. Atmos. Sci., 28 , 702708.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Madden, R. A., and Julian P. R. , 1972: Description of global-scale circulation cells in the tropics with a 40–50 day period. J. Atmos. Sci., 29 , 11091123.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Marple S. L. Jr., , 1999: Computing the discrete-time ‘analytic’ signal via the FFT. IEEE Trans. Signal Process., 47 , 26002603.

  • Neelin, J. D., Held I. M. , and Cook K. H. , 1987: Evaporation-wind feedback and low-frequency variability in the tropical atmosphere. J. Atmos. Sci., 44 , 23412348.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Raymond, D. J., 2001: A new model of the Madden–Julian oscillation. J. Atmos. Sci., 58 , 28072819.

  • Stephens, G. L., Webster P. J. , Johnson R. H. , Engelen R. , and L’Ecuyer T. , 2004: Observational evidence for the mutual regulation of the tropical hydrological cycle and tropical sea surface temperatures. J. Climate, 17 , 22132224.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tung, W. W., and Yanai M. , 2002: Convective momentum transport observed during the TOGA COARE IOP. Part I: General features. J. Atmos. Sci., 59 , 18571871.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • van Veen, B. D., and Buckley K. M. , 1988: Beamforming: A versatile approach to spatial filtering. IEEE ASSP Mag., 5 , 424.

  • Wang, B., 1988: Dynamics of tropical low-frequency waves: An analysis of the moist Kelvin wave. J. Atmos. Sci., 45 , 20512065.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, B., and Ho L. , 2002: Rainy season of the Asian-Pacific summer monsoon. J. Climate, 15 , 386398.

  • Wang, S., and Zhang F. , 2007: Sensitivity of mesoscale gravity waves to the baroclinicity of jet front systems. Mon. Wea. Rev., 135 , 670688.

  • Woolnough, S. J., Slingo J. M. , and Hoskins B. J. , 2000: The relationship between convection and sea surface temperature on intraseasonal time scales. J. Climate, 13 , 20862104.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yasunari, T., 1979: Cloudiness fluctuations associated with the Northern Hemisphere summer monsoon. J. Meteor. Soc. Japan, 57 , 227242.

  • Zhang, F., 2003: Effects of moist convection on mesoscale predictability. J. Atmos. Sci., 60 , 11731185.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 595 477 24
PDF Downloads 70 16 0