The objectives of the research are (1) to study the exposure of weather forecast program in Bangkok and (2) to study the format and presentation of popular TV weather forecasts in Bangkok. The study is mixed methodology. The quantitative data shows that (1) Bangkok respondents exposed to weather forecast program from Channel 7 the most. The frequency of exposure is in high level because they wanted to follow the daily weather forecast to be prepared for any natural disaster. (2) The format of TV weather forecasts which received the popularity from Bangkok respondents is the mixed format of new reporting and drama conveying by a gesture and acting of a news reporter or a drama character with a written script. The hypothesis test indicates that (1) Respondents in different age and occupation show different frequency in weather forecast exposure (2) Respondents in different age education and occupation have a different exposure in weather forecast programs. (3) Respondents in different age education and occupation prefer different weather forecast programs (4) Respondents in different educational and occupation prefer different content of weather forecasts. (5) Respondents in different age education and occupation have a different preference in news reporters. (6) Respondents in different age education and occupation have a different preference in reporting locations. (7) Respondents in different age and occupation have a different preference in graphic design. (8) Respondents in different age and occupation have a different preference in sound effects. And (9) Respondents in different age education and occupation favour in participate differently in weather forecast news. The qualitative data shows that (1) Teenager and adult respondents prefer both presentations of news reporting format and the mixture format of new reporting and drama whereas elderly respondents only prefer the mixture of news reporting and drama format. (2) The content of weather forecast news should have a variety that is not only to provide weather forecasts of 6-24 hours and disaster warning but also provide other contents of weather condition or daily life tips. (3) The element of weather forecast news should be completed appropriate and modern. A news reporter should have a good personality and understanding the content with a comfortable voice and clear pronunciation. A news photo should reflect a real situation and look interesting. Also a photo should be clear and bright. Whereas graphic of wording still and moving photo should be created with creativity clear and beautiful. Sound effect and music should be selected carefully to create colorful mood of weather forecast news.

The forecasting method is important because it can predict phenomena in the future. The accuracy of the forecast depends on the model and the initial conditions. In addition the predictability measurement method is important can be check the accurate of forecasts. In this research is winter monsoon forecasts in Thailand by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) is used. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of model and establish the new predictability measurement method by the time series analysis. The result to show that the new predictability measurement method by the time series analysis can be measure the efficiency of the winter monsoon forecasts in Thailand by the shallow water model for December 2015 to December 2056 are suitable.

The purpose of this research was to construct the appropriate forecasting model for the export values of alcoholic beverages using three-time series analysis methods including Box-Jenkins method damped trend exponential smoothing method and combined forecasting method. Time series data from the website of Office of Agricultural Economics with total 199 months from January 1998 to July 2014 were used and divided into two series. The first 192- month data from January 1998 until December 2013 were used to build the forecasting models and the last 7-month data from January to July 2014 were used to compare the forecasting method accuracy via the criteria of the lowest mean absolute percentage error and root mean squared error. Research findings indicated that for all forecasting methods that had been studied combined forecasting method was the most accurate method and this model was when and represent the single forecasts at time t from Box-Jenkins method and damped trend exponential smoothing method respectively.

The purpose of this research was to construct an appropriate forecasting model for the export quantity of frozen and chilled chicken using three time series analysis methods including Box-Jenkins method Holt’s exponential smoothing method and damped trend exponential smoothing method. Time series data from the website of the Office of Industrial Economics with total 130 months during January 2004 to October 2014 were used and they were divided into two series. Fristly 120 months from January 2004 to December 2013 were used to build the forecasting models and lastly 10 months from January until October 2014 were used to compare the forecasting methods accuracies via the criteria of the lowest mean absolute percentage error and root mean squared error. Research findings indicated that all forecasting methods that had been studied damped trend exponential smoothing method were the most accurate method and showed the forecasting model as where m represented the number of periods to forecast ahead with the starting value was January 2014 (m = 1).