Indonesian National Institute of Aeronautics and Space

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    The Contribution of the Mesoscale Convective Complexes (MCCs) to total rainfall over Indonesian Maritime Continent

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    The MCCs contribution is expressed as the ratio of MCCs precipitation to the total rainfall at each grid point where MCCs identified by using infrared satellite imagery. The rainfall obtained from the Real-Time Tropical Rainfall Measuring Mission's (TRMM) data. This study found that MCCs contribute to total rainfall during 15-years over Indonesian Maritime Continent up to 20% where the greatest contribution concentrated over Central Kalimantan, South China Sea, Indian Ocean and Papua Island. The contribution of the MCCs is slightly increased in seasonally and monthly up to 24% and 30%, respectively. The greatest contribution is more existence over continent than the ocean in each season and month, except in July. The greatest contribution of the oceanic MCC concentrated in the Indian Ocean almost in each season and month. The contribution of the MCCs over Java Island is almost small in each season and month, but the contribution a slight increase during JJA. The MCC not only contribute to rainfall in the MCC area but the MCC give a contribution to its surrounding area. The frequency distribution of MCCs contribution to the total rainfall is very similar and consistent with the geographic distribution of the MCCs over the IMC during 15-years.p.1-1

    Time Series Analysis of Total Suspended Solid (TSS) Using Landsat Data in Berau Coastal Area, Indonesia

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    Water quality information is usually used for the first examination of the pollution. One of the parameters of water quality is Total Suspended Solid (TSS), which describes the amount of matter of particles suspended in the water. TSS information is also used as initial information about waters condition of a region. TSS could be derive from Landsat data with several combinations of spectral channels to evaluate the condition of the observation area for both the waters and the surrounding land. The study aimed to evaluate Berau waters condition in Kalimantan, Indonesia, by utilizing TSS dynamics extracted from Landsat data. Validated TSS extraction algorithm was obtained by choosing the best correlation between field data and image data. Sixty pairs of points had been used to build validated TSS algorithms for the Berau Coastal area. The algorithm was TSS = 3.3238 * exp (34 099 * Red Band Reflectance). The data used for this study were Landsat 5 TM, Landsat 7 ETM and Landsat 8 data acquisition in 1994, 1996, 1998, 2002, 2004, 2006, 2008 and 2013. For detailed evaluation, 20 regions were created along the watershed up to the coast. The results showed the fluctuation of TSS values in each selected region. TSS value increased if there was a change of any kind of land cover/land used into bareland, ponds, settlements or shrubs. Conversely, TSS value decreased if there was a wide increase of mangrove area or its position was very closed to the ocean.p.61-7

    PEMODELAN METODE ELEMEN HINGGA UNTUK MENENTUKAN TEGANGAN VON MISES PADA AS RODA LSU-05 = THE FEM MODEL TO DETERMINE VON MISES STRESS OF THE MAIN LANDING GEAR WHEEL SHAFT OF LSU-05

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    Abstrak Telah dilakukan pemodelan elemen hingga untuk mendapatkan nilai tegangan von mises dari as roda main landing gear LSU-05 menggunakan software Patran/Nastran. Jenis elemen yang digunakan untuk memodelkan as roda main landing gear LSU-05 berupa elemen hexagonal. Pembebanan yang diberikan diasumsikan merupakan beban statik ke arah x dengan nilai sebesar -706.15 N dan arah z sebesar 882.68 N. Nilai tegangan von mises yang dihasilkan sebesar 73,1 MPa pada elemen 11252.Abstract A finite element model has been done for the main landing gear wheel shaft of LSU-05 to obtain von mises stress using Patran/Nastran software. The element type used to model the main landing gear wheel shaft of LSU-05 was hexagonal element. The loading was assumed as static load in x direction with magnitude of -706.15 N and z direction with magnitude of 882.68 N. The result of von mises stress was 73.1 MPa at element 11252.Hlm.222-231:Il.; 29,7 Cm

    Riset di Observatorium Nasional

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    Hal. 22-2

    Pendahuluan

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    Hal. 10-1

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    Hlm.81-92:iL. 31 Cm

    Variasi Trace Gases Selama 10 Tahun Dan Pencampuran Di Sekitar Lapisan Tropopause Di Indonesia Berbasis Satelit (Trace Gases Variation For 10 Years And Mixing Around The Tropopause Layers In Indonesia Based On Satellite)

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    Measurement of trace gases (CO, O3, CH3Cl, HCl, H2O, and HNO3) and temperatures around upper troposphere/lower stratosphere (UT/LS) or rather around Tropical Tropopause Layer (TTL) in Indonesia by using Microwave Limb Sounder (MLS) instrument board on Satellite AURA for 2005-2014 period to make variations of these gases over the 10 years around TTL allows to be studied more deeply. TTL becomes the main route entry of chemical compounds and aerosols originating in the troposphere into the stratosphere. The composition of minor gases in the TTL is very important because it affects the global radiation budget. Analysis of vertical profiles of these gases in the TTL was done to determine the suitability of the concept of TTL which starts from the upper troposphere to the lower stratosphere. Other method are the time series diagram of the altitude (height versus time series cross section) which shows the annual and interannual variations in vertical profiles of these gases in the TTL and the possible influence of the dynamics of the atmosphere. The results showed correlation of these gases with ozone showed most of the air in the stratosphere is experiencing mixing in the TTL. In addition, changes in concentration and temperature values in the TTL have been calculated using the trends of each parameter and it is known that the parameters of HCl, CH3Cl, and temperature show respective decreases of -0.036 ppmv, -0.024 ppmv, and -0.456 K. As for other parameters such as ozone, CO, H2O, and HNO3 showed an increase of respectively 0.0036 ppmv, 0.0096 ppmv, 0.108 ppmv, and 0.06 ppmv.Hal. 83-9

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