Last modified: 2017-09-05

#### Abstract

Processing and analysis of atmospheric moisture has been done and using vertically Atmospheric Infrared Sounder (AIRS) data in the monthly average. Data AIRS has horizontal resolution one degree based on twelve atmospheric pressure (1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, and 100 mb). The method of analysis used is the ratio of the monthly average for each altitude and statistical analysis to assess the elevation with the biggest effects of water vapor on surface temperatures. Based on the results of data processing and analysis, can be concluded that the relative humidity in Indonesia showed considerable variation vertically. Based on the magnitude , relative humidity at 1000 and 925 mb heights around 80 %, while at an altitude of 850-200 mb humidity ranged between 40-60 %. At an altitude of 150-100 mb moisture showed a very large amplitud , which can differentiate significantly between the period December -January- February (DJF) and June -Jul- August (JJA) . Relative humidity at a pressure of 150 and 100 mb have 2 annual cycles, which in 2004, 2006, 2008, 2010 and 2012, in both height reaches a maximum value greater than the maximum value of 2003, 2005, 2007 , 2009 and 2011. In a time series, it can be seen that there is an influence of ENSO on the vertical profile of water vapor by using the parameters relative humidity. The influence of visible vertical profiles of moisture anomalies in the zonal average. In 2006 during a weak El Nino , a negative anomaly relative humidity significantly at the height of 925-300 mb and at an altitude of 150-100 mb, and positive anomalies occur at an altitude of 250 mb. As in 2007 and 2010 during a La Nina, at an altitude of 925-300 mb positive anomaly. Overall, changes in atmospheric water vapor conditions, have implications for changes in surface temperature and radiation energy balance, especially for OLR.