This study encompasses air surface temperature (AST) modeling in the lower atmosphere. Data of four atmosphere pollutant gases (CO, O3, CH4, and H2Ovapor) dataset, retrieved from the National Aeronautics and Space Administration Atmospheric Infrared Sounder (AIRS), from 2003 to 2008 was employed to develop a model to predict AST value in the Malaysian peninsula using the multiple regression method. For the entire period, the pollutants were highly correlated (R = 0.821) with predicted AST. Comparisons among five stations in 2009 showed close agreement between the predicted AST and the observed AST from AIRS, especially in the southwest monsoon (SWM) season, within 1.3 K, and for in situ data, within 1 to 2 K. The validation results of AST with AST from AIRS showed high correlation coefficient (R = 0.845 ?startto end?0.918), indicating the model's efficiency and accuracy. Statistical analysis in terms of β showed that H2Ovapor (0.565 to 1.746) tended to contribute significantly to high AST values during the northeast monsoon season. Generally, these results clearly indicate the advantage of using the satellite AIRS data and a correlation analysis study to investigate the impact of atmospheric greenhouse gases on AST over the Malaysian peninsula. A model was developed that is capable of retrieving the Malaysian peninsulan AST in all weather conditions, with total uncertainties ranging between 1 and 2 K.
Methane (CH4) is a potent greenhouse gas and it's second in importance only to CO2 with relative global
warming ability 23 times that of CO2 over a time horizon of 100 years. It has a much shorter atmospheric lifetime, about
12 years and released to the atmosphere by biological processes occurring in anaerobic environments. Interannual
variations of the atmosphere CH4 have been studied utilising Atmosphere Infrared Sounder (AIRS), onboard NASA's
Aqua Satellite, and data of CH4 emission in Peninsular Malaysia during the period 2003 - 2009. AIRS is one of several
instruments onboard the Earth Observing System (EOS) launched on May 4, 2002. The analysis of CH4 above five
dispersed stations in study area shows the seasonal variation in the CH4 fluctuated considerably between wet and dry
period and high CH4 growth rates observed at the end of each year were attributed to the reduced hydroxyl (OH) sink
and the increased emissions from wetlands and biomass burning. The CH4 value in the north regions, up of the latitude
4º, higher than its value in the rest of regions throughout the year. The CH4 values in dry season higher than wet season.
The monthly CH4 maps were generated, to study CH4 distribution over peninsular Malaysia for 2009, using Kriging
Interpolation technique. The AIRS data and the Satellite measurements are able to measure the increase of the
atmosphere CH4 concentrations over different regions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.