Statistical dynamics of tropical wind in radiosonde data
Weibull distributions were fitted to wind speed data from radiosonde stations in the global tropics. A statistical theory of independent wind contributions was proposed to partially explain the shape parameter k obtained over Malay Peninsula and the wider Equatorial Monsoon Zone. This statistical dy...
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sg-ntu-dr.10356-950512020-09-26T21:34:15Z Statistical dynamics of tropical wind in radiosonde data Djamil, Y. S. Teo, C. K. Koh, Tieh Yong. School of Physical and Mathematical Sciences DRNTU::Science::Chemistry::Physical chemistry Weibull distributions were fitted to wind speed data from radiosonde stations in the global tropics. A statistical theory of independent wind contributions was proposed to partially explain the shape parameter k obtained over Malay Peninsula and the wider Equatorial Monsoon Zone. This statistical dynamical underpinning provides some justification for using empirical Weibull fits to derive wind speed thresholds for monitoring data quality. The regionally adapted thresholds retain more useful data than conventional ones defined from taking the regional mean plus three standard deviations. The new approach is shown to eliminate reports of atypically strong wind over Malay Peninsula which may have escaped detection in quality control of global datasets as the latter has assumed a larger spread of wind speed. New scientific questions are raised in the pursuit of statistical dynamical understanding of meteorological variables in the tropics. Published version 2012-12-27T06:19:01Z 2019-12-06T19:07:18Z 2012-12-27T06:19:01Z 2019-12-06T19:07:18Z 2011 2011 Journal Article Koh, T. Y., Djamil, Y. S., & Teo, C. K. (2011). Statistical dynamics of tropical wind in radiosonde data. Atmospheric Chemistry and Physics, 11(9), 4177-4189. 1680-7324 https://hdl.handle.net/10356/95051 http://hdl.handle.net/10220/8891 http://www.atmos-chem-phys.net/11/4177/2011/acp-11-4177-2011.html en Atmospheric chemistry and physics © 2011 The Author(s). application/pdf |
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DRNTU::Science::Chemistry::Physical chemistry Djamil, Y. S. Teo, C. K. Koh, Tieh Yong. Statistical dynamics of tropical wind in radiosonde data |
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Weibull distributions were fitted to wind speed data from radiosonde stations in the global tropics. A statistical theory of independent wind contributions was proposed to partially explain the shape parameter k obtained over Malay Peninsula and the wider Equatorial Monsoon Zone. This statistical dynamical underpinning provides some justification for using empirical Weibull fits to derive wind speed thresholds for monitoring data quality. The regionally adapted thresholds retain more useful data than conventional ones defined from taking the regional mean plus three standard deviations. The new approach is shown to eliminate reports of atypically strong wind over Malay Peninsula which may have escaped detection in quality control of global datasets as the latter has assumed a larger spread of wind speed. New scientific questions are raised in the pursuit of statistical dynamical understanding of meteorological variables in the tropics. |
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School of Physical and Mathematical Sciences |
author_facet |
School of Physical and Mathematical Sciences Djamil, Y. S. Teo, C. K. Koh, Tieh Yong. |
format |
Article |
author |
Djamil, Y. S. Teo, C. K. Koh, Tieh Yong. |
author_sort |
Djamil, Y. S. |
title |
Statistical dynamics of tropical wind in radiosonde data |
title_short |
Statistical dynamics of tropical wind in radiosonde data |
title_full |
Statistical dynamics of tropical wind in radiosonde data |
title_fullStr |
Statistical dynamics of tropical wind in radiosonde data |
title_full_unstemmed |
Statistical dynamics of tropical wind in radiosonde data |
title_sort |
statistical dynamics of tropical wind in radiosonde data |
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2012 |
url |
https://hdl.handle.net/10356/95051 http://hdl.handle.net/10220/8891 http://www.atmos-chem-phys.net/11/4177/2011/acp-11-4177-2011.html |
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