Weather forecasts are very necessary to predict the future weather conditions. The important thing in forecasting is the model and variables. The model used in the forecasting must be accurate and effective. In addition the variables used in forecasting must be comprehensive and appropriate to be able to represent the forecast. The initial conditions for forecasting must be appropriate and reliable. There are many methods to generate the initial conditions in forecasting. To generate the initial conditions for winter monsoon prediction with Kalman Filtering method which is a method used to predict the status of various systems and able to create values of variables used in forecasting to have a variety of similarities can be used as a starting variable in forecasting very well. In this research the winter monsoon prediction by the Shallow Water Model and validating the initial conditions by Root Mean Square Error (RMSE). The result of weather prediction in the winter monsoon can be used the Kalman Filtering method for generate the initial conditions.

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.

One important factor that makes the variations of electric current produced from solar cells (Ipv) is the variability of the weather conditions of the day. The one year experiment from January to December 2012 had been set up. The experiment of the comparison of the weather data satellite images and the different current (Ipv_d) was obtained from daily Ipv. The results illustrated that there were 4 major types of the relationship between the Ipv_d and weather conditions; 1) Low Ipv_d at around 2000 mA with low perturbations would correspond to the clear sky condition. 2) Perturbation of Ipv_d in some periods would correspond to the cloudy condition. 3) High perturbations of Ipv_d for all day long would relate to the rainy – cloudy condition. 4) High Ipv_d at around 4000 mA with low perturbations would relate to the cloudy condition all day long.

The objective of this research was to develop a high performance monitoring software for extended database of mobile weather station by using embedded computer. The monitoring system could measure and record temperature relative humidity wind speed and direction rainfall solar radiation and UV index. The software could convert these parameters and sent them from mobile unit to base unit within 60meters distance via 868.0MHz of radio frequency. The embedded computer was used as for database and host of the monitoring software. This software was developed by using LabVIEW with large MySQL database. The software could work perfectly. That is it could monitor and display any parameter in real time in both graphic and numerical data. It could also produce a report in correct format of research information. The Monitor system could work with the embedded computer. The mobile weather station could be used in remote areas with photovoltaic energy system and storage battery specially designed for them.