Improvement and advanced utilization of downscaling system of weather diagnosis

中尺度现象的下尺度预报系统已经发展起来，并在农业和航空领域得到了应用。为了提高其预测能力，需要进一步努力改进物理参数化，并优化初始和侧边界条件。在农业方面，研究了当地强风（Kiyokawadashi）和稻瘟病菌潜在预报的可预报性。对利用多普勒激光雷达资料同化下尺度系统建立航空天气监测/甚短期预报系统的可行性进行了研究。

Downscaleprediction system of meso-scale phenomena has been developed with its applications to agriculture and aviation. To advance its predictive skill, further efforts are required to improve physics parameterization, and to optimize initial and lateral boundary conditions. In agriculture, predictabilities have been studied on local sever wind (Kiyokawadashi) and potential forecast of Magnaporthe grisea. Feasibility study has been made on monitoring/very short-range prediction system for aviation weather on the basis of data assimilation of Doppler lidar into downscale system.