Structure of the Static Atmosphere

at the same height. But, since the value of gravity vary at different places; the altitude of geopotential surface would also be different. The geopotential height is defined as 24 .. .......... 1     z gdz g g z Z The concept of geopotential height is useful for approximating geometric height of a constant-pressure surface in the atmosphere. The thickness of two surface levels can be easily found by calculating the difference between geopotential heights.

c. Isobaric Coordinate System

For many applications associated with the governing dynamics of the atmospheric motions, it is very common to transform the equations of motion from height Cartesian coordinates x, y, z to isobaric coordinates x, y, p. As what it shown in hydrostatic equation, pressure is related to geometric height by a single-valued monotonic function. Pressure decreases monotonically with height that its surfaces never intersect; hence instead of using height, pressure can be used as an alternative coordinate system. Figure 10 Slope of pressure surfaces in the x, z plane. As illustrated in Figure 10, the pressure difference between two lines of AB and BC are particularly the same. Judging from the similarities it can be stated that:     p x p z z z z z p p p x x x x p p p                            1 1 1 1 p x z x z z p x p                           The subscripts are used to indicate variables which are being held constant during differentiation. Taking the limits of x  , z  → 0 p x z x z z p x p                           and by using the hydrostatic balance equation to substitute the variables, it can be obtained that 25 ........ 1 p x p x z g z x p                                Based on this outcome, the horizontal component of pressure gradient force can be rewritten as p x x p m x F                1  p y y p m y F                1  Given that pressure acts as the vertical coordinate, it appears that density is no longer required for computing the pressure gradient force; which is a great advantage as it simplifies the equation and indirectly facilitates the observation. Thus, in isobaric coordinate system, the horizontal pressure gradient force on a surface of constant pressure is determined by the gradient of geopotential.

2.2.4 Horizontal Momentum Equations

In general, air motion comes from a balanced flow which is profoundly affected by the the force of pressure gradient, Coriolis force and friction viscous force. For large- scale movement of air in the atmosphere, viscosity is sufficiently small that frictions near the Earth’s surface could be neglected. Therefore, the horizontal momentum equation in height coordinates is given in the vectorial form as 26 .. .......... 1 ˆ p h h v k f Dt h v D          Where j v i u h v      is a horizontal velocity vector. The condition where the forces acting on a parcel of air is in equilibrium with each other is considered as Figure 11Research flowchart. an idealization of atmospheric motion. In the form of isobaric coordinate, the horizontal pressure gradient force can be transformed with the function of geopotential so that the equation becomes 27 .. .......... ˆ       p h v k f Dt h v D    It can be seen that the gradient of geopotential implicit the same horizontal wind speed at all heights in the atmosphere whereas in height coordinates the velocity of horizontal wind depends on the rate of pressure gradient which varies directly with changes in air density. III METHODOLOGY 3.1 Location and Time The study was conducted in the Laboratory of Meteorology and Atmospheric Pollution, Department of Geophysics and Meteorology, Bogor Agricultural University and in the Division of Climate Modelling, National Institute of Aeronautics and Space LAPAN Bandung from February until May 2011.

3.2 Tools and Materials

The sofwares used in this study are listed as follows:  ENVI 4.5, ER Mapper 7.1, Global Mapper v12, Ferret v6.7, ArcGIS 9.3, Matlab R2010b, Notepad++ 5.9, Microsoft Office 2007 The materials consist of three main sources of data: a. MODIS Terra level 1B L1B data; covering Bogor and its surroundings. Data acquisition date: October 1, 2006. Band used: Thermal Infrared Bands TIR 31 10.780 m - 11.280 m and 32 11.770 m - 12.270 m. Spatial resolution: 1 km. http:ladsweb.nascom.nasa.govdata search.html b. DEM data Digital Elevation Model with 90 x 90 m spatial resolution http:srtm.csi.cgiar.org

3.3 Data Processing

The approaching method in this study is derived from the momentum equations based on Newton’s second law of motion which applied to TerraMODIS L1B data set. Generally, the steps taken can be seen in Figure 11.

3.3.1 Bowtie Correction

The MODIS L1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands covering the part from 0.4 m to 14.4 m of electromagnetic spectrum. These data were generated from MODIS level 1A scans of raw radiance MOD01. Although the level 1B data have been calibrated and geolocated, it needs to be corrected due to distortion caused by the characteristics of MODIS sensor and the Earth’s curvature; known as the Bowtie effect. The elimination of bowtie effect was done with Modistool in ENVI.