Research and development of refined forecasting

Research and development of refined forecasting

Talent requirements: 1. Proficient in mesoscale numerical prediction model and multi-source data rapid assimilation technology. Have a more in-depth study on mountain meteorology. High resolution numerical prediction and downscaling technology under complex terrain conditions to meet the meteorological support needs of snow projects in Chongli competition area of the 2022 Winter Olympics. 2. Able to accommodate 1-2 researchers from our side for long-term communication visits or personnel training. 3. Regularly or irregularly visit our company for lectures, exchanges, and technical guidance every year. Benefits: 1. According to the regulations of the talent introduction project, we can provide round-trip international travel expenses, intercity transportation expenses, food and accommodation expenses, etc. At the same time, provide necessary pocket expenses (or salary subsidies), technical guidance fees, teaching fees, etc. If patent technology transfer is required, relevant transfer fees can be provided. 2. The Key Laboratory of Meteorology and Ecological Environment in Hebei Province can provide comprehensive working conditions, data environment protection, etc. 3. Other specific needs can be separately agreed upon.