Aiming to solve current status of data deficiencies in the process of meteorological websites and other applications migrating to local government cloud, choosing ETL tools by considering functionality, development cost, and flexibility, a job scheduling system based on Quartz framework was developed to automatize the meteorological data ETL processes which are modeled by using Kettle software, an SQL Server database cluster was built, overall established a meteorological data warehouse in government cloud. This data warehouse fulfills the purpose of multiple-source meteorological data synchronizing and storing to government cloud in real-time, provides data support for those meteorological application systems has been or will be deployed in government cloud, also lays the foundation for meteorological department involving in E-government data sharing and exchanging.