How to strongest la-nina affected the equatorial tropics? Global analysis in 2010 with trmm satellite data

This study analyzed the rainfall pattern changes in humid tropics at 3-hourly scale during the strongest La-Nina event ever using Tropical Rainfall Measuring Mission (TRMM) satellite. At present the evidences had showed that the rainfall are changing and increasing in general in the tropics. However...

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Bibliographic Details
Main Authors: Md. Yatim, M. A., Mansor, F., Mohd. Yusof, A. A., Mohd. Reba, M. N., Mahmud, M. R.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.utm.my/id/eprint/89833/1/MRizaludinMahmud2019_HowtoStrongestLaNinaAffected.pdf
http://eprints.utm.my/id/eprint/89833/
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Summary:This study analyzed the rainfall pattern changes in humid tropics at 3-hourly scale during the strongest La-Nina event ever using Tropical Rainfall Measuring Mission (TRMM) satellite. At present the evidences had showed that the rainfall are changing and increasing in general in the tropics. However, specific characteristics of change including rate, quantity, and pattern was less elaborated. This parameters are critical to us in understand the changes, the cause, and most importantly figure out an appropriate method to adapt for the future scenarios. To anticipate the aforementioned issue, we had initiated the analysis to determine; 1) the trend of rainfall changes (events, quantity and spatial size) and 2) the rate of rainfall changes. The number of different rainfall events are determined to inform us the trend of impact of the La-Nina. On the other hand, the changes of rainfall quantity and spatial size primarily the increment cases would provide us with quantitative information how much the changes had occurred in specific areas and how large is the extent; whether it is a synoptic scale event or it was the aftermath effect at microscale. Finally, the rate of rainfall changes informed us how quick is the changes happen. The output from all the analyses will be used to classify types of impact that experienced by different parts of humid tropics; the most affected region by this La-Nina event.