Toward a mesoscale observation network in Southeast Asia
The current weather observation network in Southeast Asia is unable to support the accurate monitoring and prediction of the region's predominantly convective weather. Establishing a multisensor mesoscale observation network comprising automated in situ instruments and atmospheric remote sensor...
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sg-ntu-dr.10356-953332020-09-26T21:28:46Z Toward a mesoscale observation network in Southeast Asia Koh, Tieh Yong Teo, Chee Kiat DRNTU::Science::Geology The current weather observation network in Southeast Asia is unable to support the accurate monitoring and prediction of the region's predominantly convective weather. Establishing a multisensor mesoscale observation network comprising automated in situ instruments and atmospheric remote sensors (including weather radar) over land and exploiting weather satellite data especially over the sea would significantly improve the quantity and quality of data and benefit numerical weather prediction and tropical atmospheric science research. Several technical and organizational challenges need to be overcome in order to attain this goal. It is hoped that this article would motivate closer regional coordination in plans for developing infrastructure for atmospheric observations for weather research and forecasts in Southeast Asia. Published version 2012-06-21T01:12:07Z 2019-12-06T19:12:47Z 2012-06-21T01:12:07Z 2019-12-06T19:12:47Z 2009 2009 Journal Article Koh, T. Y. & Teo, C. K. (2009). Toward a Mesoscale Observation Network in Southeast Asia. Bulletin of the American Meteorological Society, 90(4), 481–488. 0003-0007 https://hdl.handle.net/10356/95333 http://hdl.handle.net/10220/8226 10.1175/2008BAMS2561.1 en Bulletin of American meteorological society © 2009 American Meteorological Society.This paper was published in Bulletin of the American Meteorological Society and is made available as an electronic reprint (preprint) with permission of American Meteorological Society. The paper can be found at the following official URL: [http://dx.doi.org/10.1175/2008BAMS2561.1]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 8 p. application/pdf |
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DRNTU::Science::Geology Koh, Tieh Yong Teo, Chee Kiat Toward a mesoscale observation network in Southeast Asia |
| description |
The current weather observation network in Southeast Asia is unable to support the accurate monitoring and prediction of the region's predominantly convective weather. Establishing a multisensor mesoscale observation network comprising automated in situ instruments and atmospheric remote sensors (including weather radar) over land and exploiting weather satellite data especially over the sea would significantly improve the quantity and quality of data and benefit numerical weather prediction and tropical atmospheric science research. Several technical and organizational challenges need to be overcome in order to attain this goal. It is hoped that this article would motivate closer regional coordination in plans for developing infrastructure for atmospheric observations for weather research and forecasts in Southeast Asia. |
| format |
Article |
| author |
Koh, Tieh Yong Teo, Chee Kiat |
| author_facet |
Koh, Tieh Yong Teo, Chee Kiat |
| author_sort |
Koh, Tieh Yong |
| title |
Toward a mesoscale observation network in Southeast Asia |
| title_short |
Toward a mesoscale observation network in Southeast Asia |
| title_full |
Toward a mesoscale observation network in Southeast Asia |
| title_fullStr |
Toward a mesoscale observation network in Southeast Asia |
| title_full_unstemmed |
Toward a mesoscale observation network in Southeast Asia |
| title_sort |
toward a mesoscale observation network in southeast asia |
| publishDate |
2012 |
| url |
https://hdl.handle.net/10356/95333 http://hdl.handle.net/10220/8226 |
| _version_ |
1681057269437956096 |