Title of article :
Kajian Hubung kait Tekanan dan Suhu Terhadap Taburan Kerpasan di Malaysia Ketika Fenomena ENSO
Author/Authors :
ibrahim, shuhaina universiti kebangsaan malaysia (ukm) - fakulti kejuruteraan dan alam bina - jabatan kejuruteraan elektrik, elektronik dan sistem, Malaysia , sahlan, nor shahida universiti kebangsaan malaysia (ukm) - fakulti kejuruteraan dan alam bina - jabatan kejuruteraan elektrik, elektronik dan sistem, Malaysia , singh, mandeep singh jit universiti kebangsaan malaysia (ukm) - fakulti kejuruteraan dan alam bina - jabatan kejuruteraan elektrik, elektronik dan sistem, Malaysia
Abstract :
Climate change is the greatest threat to the environment and human beings in the 21st century. The annual temperature of the earth has been moved up and down a few degrees Celsius over the past few million years ago. The trend of rising temperatures in many places including Malaysia from 30 to 50 years ago. This results in increased frequency and intensity of extreme weather events such as droughts, storms and floods. Among the factors that affect most of the climate Malaysia is El Niño-Southern Oscillation or ENSO for short, which affects the diversity of the rain. Malaysia is one of the countries in Southeast Asia are experiencing the effects of El Niño anomalies are significant in terms of regional climate and socio- economic well-being of its people. The study used data from the rain Tropical Rain Measuring Mission Satellite (TRMM) known as Compound TRMM Satellite Precipitation Analysis (TMPA). This data is used to monitor the condition of dry and humid in Malaysia for a period of fifteen (15) years from 2000 to 2014. From the results, it appears that in the event of a moderate La Nina phenomenon in 2008, temperatures in MAM is inversely proportional to the precipitation of most locations. Next, when weak El Nino in 2004/2005 and 2006/2007, SLP at DJF is inversely proportional to the precipitation and tnp at DJF is inversely proportional to the precipitation for most locations. Monthly TRMM rainfall data also has a good linear relationship with watershed station rainfall data. The results obtained from this project is very useful to know the precipitation trend when compared with the temperature and pressure so that we can make preparations for the government and even to individuals.
Keywords :
precipitation , pressure , temperature , ENSO , TRMM , TMPA