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Statistical Downscalling Approach for Evaluation of Climate Variability and Development Model of Rice Production

PI: Perdinan Rakiso
Institution: Bogor Agricultural University
Abstract:
Our research goals are to:

1. Develop the statistical downscalling methodology in Indonesia
2. Study the long term of climate variability in Indonesia
3. Use the climate information in developing rice production model in Indonesia

The required of GCM data is need for studying the first objective, regarding the long term of climate data in Indonesia is lacking. Considering this situation, we need the series of GCM data from 1901 to 2004 (all parameters) in monthly.
Publications:
  • Perdinan dan I Putu Santikayasa, Variability of Soybean Yield under Various Climate Change Scenarios. Abstract. Edit.
  • Sutikno and Rizaldi Boer, MULTIVARIATE ADAPTIVE REGRESSION SPLINES, PRINCIPAL COMPONENT REGRESSION, AND ARTIFFICIAL NEURAL NETWORK FOR STATISTICAL DOWNSCALING ON GCM. In preparation. Abstract. Edit.

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