Data is considered as an asset of the global economy. Along with the term "open", Open data becomes the new trend of agencies, organizations, and governments. Providing Open Data helps develop businesses and startups since the experience of countries around the world has a series of startups born from Open Data warehouses. Currently, Vietnam is in the early stages of building an open database, which includes meteorological data. This data is important since it helps to process and determine future climate expectations. BUFR/SYNOP are the common formats that are used by almost all meteorological services in the world. Those types of formats cannot be used for open purposes since they are not ensuring the accessibility feature of open data. In this paper we propose a new data model for meteorological data to convert weather data into machine-readable formats. The experiments will be done in converted data for weather forecast and explanations.