Sinta Berliana Sipayung
Pusat Pemanfaatan Sains Atmosfer dan Iklim

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PEMANFAATAN GLOBAL CIRCULATION MODEL (GCM)UNTUK PREDIKSI PRODUKSI PADI Sinta Berliana Sipayung; - Sutikno
Jurnal Sains Dirgantara Vol 6, No 2 (2009)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

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Abstract

Dalam pengembangan model untuk prediksi produksi padi berdasarkan Palmer Drought Severity Index (PDSI) menggunakan luaran GCM CSIRO MK3 (Commonwealth Scientific and Industrial Research Organization) Australia, dengan input curah hujan dan suhu bulanan untuk tiga skenario SRES (Special Report on Emissions Scenarios) yaitu SRESA2, SRESB1 dan SRESA1B, maka dapat diprediksi produksi padi di dua Kabupaten Subang dan Tasikmalaya. Dengan menghitung luas area pertanian pada masing-masing wilayah ZPI (zona prediksi iklim), PDSI terboboti per subround/periode (PDSIWp) dan penentuan bobot berdasarkan persentase luas area pertanian pada setiap wilayah maka diperoleh prediksi produksi padi di masa yang akan datang (2010, 2020, 2030, 2040, dan 2050). Prediksi produksi padi di Kabupaten Subang sebesar 792.943 ton dari rataan ketiga model skenario Pemanfaatan Global Circulation........ (Sinta Berliana Sipayung et al.) 83 GCM pada tahun 2020, sementara pada tahun 2050 prediksi produksi padi sebesar 827.270 ton. Kabupaten Tasikmalaya rataan produksi padi periode 1988-2005 adalah 568.145 ton per tahun, sedangkan prediksi produksi padi tahun 2020 sebesar 573.906 ton dan 596.026 ton pada tahun 2050. Jika dibandingkan produksi saat ini rataan tahun 1988-2005 prediksi produksi padi mengalami penurunan sekitar 8 % pada tahun 2020 dan 4% tahun 2050 di Kabupaten Subang sedangkan Tasikmalaya mengalami kenaikan 1% pada tahun 2020 dan 5% pada tahun 2050. Kata kunci: Iklim, GCM, PDSI dan Produksi Padi.
PROYEKSI DEBIT ALIRAN PERMUKAAN DAS CITARUM BERBASIS LUARAN MODEL ATMOSFER Sinta Berliana Sipayung; Nani Cholianawati
Jurnal Sains Dirgantara Vol 8, No 2 (2011)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

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Abstract

 Rainfall variability has an impact on the amount of water balance in each watershed (catchment) scale of space and time, so that rainfall variability has an important role to discharge runoff. As the main input is not only rainfall, but the level of land cover and soil physical properties with various concepts was an important input in maintaining the equilibrium amount of water in a watershed, resulting in an equilibrium water balance, and surface flow is considered as a likely output for the sector needs. The data used is the GCM model outputs Geophysical Fluid Dynamics Laboratory (GFDL) in units of rainfall (mm) are reduced from global to local scale. Besides the rainfall data (mm) taken from the Tropical Rainfall Measuring Mission (TRMM, 3B43) satellite with a resolution of 0.25 degrees (equivalent to 27.5 km2), temperature (0C) from the Moderate Resolution Imaging Spectroradiometer (MODIS) level with a resolution of 0.045 degrees (equivalent to 5 km2). Similarly, observational data of rainfall, surface temperature and flow rate (mm3/sec) from 2001 to 2009 are used to validate satellite data and atmospheric models. The correlation between rainfall observations, satellite and atmospheric model outputs are 0.76 and 0.65, respectively. By using the method of Hydrological Simulation Model (HYSIM) can be determined projections of future surface flow atmospheric model based on the DAS Citarum, West Java. Based on the flow rates calculation and observations from 2001 to 2009, have suitability with correlation coefficient of 0.8. The results of calibration flow rate projections from 2011 to 2019 is following the pattern of previous years with a correlation of 0.6. Flow rate is affected by rainfall in the region. Based on the rainfall projections, it is known that rainfall increases with increasing rainfall, the availability of water even more, so that the flow at the surface of the Citarum river basin is expected to increase. Keywords:DAS Citarum, HYSIM, Climate, Satellite, and Atmospheric model