湖州地区精细化积雪深度预报订正模型研究

Research on the Correction Model of Refined Snow Depth Forecast in Huzhou Area

以湖州地区2018年的3次降雪过程的实况观测为基础,分析了3次过程中的积雪深度与海拔高度、降雪量、气温、地表温度等气象观测要素的关系,通过线性回归方法建立了以这些常规观测要素为基础的精细化积雪预报模型并进行了检验,为湖州地区不同海拔积雪深度预报提供了技术支撑。

Based on the real observation data of the three snowfall processes in Huzhou in 2018,this paper analyzed the relationship between the snow depth and the meteorological observation elements such as altitude,snowfall,temperature,and surface temperature during the three processes.A refined snow forecasting model based on these conventional observation elements was set up and tested by linear regression method.It provided a technical support for snow depth prediction at different altitudes in Huzhou area.