AI SearchSimulation of sunshine duration data in Thailand
Call Number: AIT Thesis no. CA-83-6 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. CA-83-6Publication details: Bangkok : Asian Institute of Technology, 1983Description: ix, 76 pSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1983 Summary: This study deals with the analysis and simulation of sunshine duration data for 12 Meteorological stations in Thailand. Geographical distribution of mean daily values and serials correlation coefficients of each month are used in the analysis of historical data. Three models are investigated and evaluated for the generation of daily sunshine duration data. The first model is based on the first order markov chain with 5 states. The distribution of data in each state is considered to be uniform. The second and third models are based on the method of fragments. This method requires the use of a suitable model for generating annual values. Here, two different approches are attempted. In second model, Thomas-Fiering model is used to generate monthly values and annual values are obtained from them, whereas in the third model annual values are directly generated using AR(1) model. Computer programs of all the models involved are developed, documented and tested using actual data. Their efficiencies are also compared.
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A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science, School of Engineering and Technology
Thesis (M.Sc.) - Asian Institute of Technology, 1983
This study deals with the analysis and simulation of sunshine duration data for 12 Meteorological stations in Thailand. Geographical distribution of mean daily values and serials correlation coefficients of each month are used in the analysis of historical data. Three models are investigated and evaluated for the generation of daily sunshine duration data. The first model is based on the first order markov chain with 5 states. The distribution of data in each state is considered to be uniform. The second and third models are based on the method of fragments. This method requires the use of a suitable model for generating annual values. Here, two different approches are attempted. In second model, Thomas-Fiering model is used to generate monthly values and annual values are obtained from them, whereas in the third model annual values are directly generated using AR(1) model. Computer programs of all the models involved are developed, documented and tested using actual data. Their efficiencies are also compared.
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