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dc.contributor.authorSaiuparad, Sunisaen_US
dc.contributor.authorสุนิสา สายอุปราชen_US
dc.date.accessioned2020-09-29T05:08:51Z
dc.date.available2020-09-29T05:08:51Z
dc.date.issued2020-09-29
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/3460
dc.descriptionรายงานวิจัย -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2562en_US
dc.description.abstractWeather 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.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectWeather forecastingen_US
dc.subjectพยากรณ์อากาศen_US
dc.subjectweatheren_US
dc.subjectการพยากรณ์en_US
dc.subjectpredictionsen_US
dc.subjectสภาพอากาศen_US
dc.titleThe generate of initial conditions for weather predictionsen_US
dc.title.alternativeการสร้างเงื่อนไขเริ่มต้นในการพยากรณ์อากาศen_US
dc.typeResearch Reporten_US
dc.contributor.emailauthorsunisa.sa@rmutp.ac.then_US
dc.contributor.emailauthorarit@rmutp.ac.then_US


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