Detection of ENSO Events through Analysis of Rainfall Data
Sanguan Patamatamkul (1), Sarintip Tantanee (2)
(1) Department of Civil Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
(2) Faculty of Engineering, Naresuan University, Phitsanulok 65000, Thailand
ENSO is recognized as a world index which is used to describe the change in the ocean current system and weather system. Effects of ENSO has been widely studied over several areas of the world in the past decade. It is stated that the phenomenon of ENSO causes long lasting, very intense flood and severe drought over a particular area in the world.
Northeastern Thailand is located between latitude 14o 7–18o 26 N and longitude 101o 54–105o 38 E covering the approximately one-third of the total area of the country. This part of the country often suffers from the drought condition. The annual mean rainfall over the area varies greatly from 777.4 to 2808.4 millimeters. The rainfall data of 16 meteorological stations are selected for this study. The study is attempted to explore the precipitation anomaly patterns over the area through the historical ENSO events employing the runs analysis. The preliminary results show that the rainfall data alone can detect the occurrence of the ENSO events most of the times. Therefore, it has the potential to be used for predicting the future ENSO events.
Submittal Information
Name :
Date :
Assoc.Prof.Dr. Sanguan Patamatamkul
29-May-01-13:07:18
Organization :
Theme :
Department of Civil Engineering, Faculty of Engineering, Khon Kaen University
Theme 1
Address :
Presentation :
Department of Civil Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002
