Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros

Mohamad Deros, Siti Noratiqah (2016) Modeling seasonal wind pattern from imaging and non-imaging data / Siti Noratiqah Mohamad Deros. PhD thesis, Universiti Teknologi MARA (UiTM).

Abstract

Wind speed in Malaysia is categorized as low with annual mean of 3-5 m/s and influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon. Monsoon seasons were classified based on the origin of wind blows that brings unique character of wind speed and direction. Current wind study utilized limited wind data to projects wind behavior in wind pattern model generation. Short-term wind data insufficient to explain wind criteria by neglects the seasonality behavior of wind caused by different monsoon season. Wind observation using ground measurement devices such as anemometer and wind vane produced limited spatial resolution data that initiated the used of imagery data with 100-150 km2 swath width. Wind direction extraction using wavelet transform (WT) technique is an example of wind study using imagery data. However, the study focused on high wind speed area due to the limitations of wavelet coefficient derivation that requires minimum 7 m/s wind speed and underestimates streak produced by lower speed.

Metadata

Item Type: Thesis (PhD)
Creators:
Creators
Email / ID Num.
Mohamad Deros, Siti Noratiqah
2010966865
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Asmat, Arnis
UNSPECIFIED
Subjects: Q Science > QC Physics > Meteorology. Climatology. Including the earth's atmosphere
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Programme: Doctor of Philosophy in Science
Keywords: Wind pattern, monsoon seasons, wavelet transform (WT) technique
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/113608
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