华北高温热浪对当地的社会、经济和生态系统产生了严重的影响。本项目将采用资料诊断和区域气候模式模拟相结合的方法，系统研究植被与土壤温湿状况对华北夏季高温热浪的影响。利用观测数据、卫星遥感资料以及再分析和陆面同化资料分析前期和同期植被、土壤温度和土壤湿度与华北夏季高温热浪的联系，揭示植被与土壤温湿状况影响的关键区；通过诊断分析和数值模式试验，揭示植被与土壤温湿状况影响华北高温热浪的物理过程；提出可用于预测华北夏季高温热浪的关键区植被、土壤温度和土壤湿度因子，并建立统计模型测试前期陆面物理因子在华北高温热浪预测中的作用。本项目的实施将为改进华北高温热浪的预测水平提供一定的科学依据，有助于提高华北地区的防灾减灾能力。

Hot extremes have resulted in serious consequences for society, economy and ecosystems in North China. Through a combination of diagnostic analyses and regional climate model simulations, this project will investigate systematically the role of vegetation, soil temperature and soil moisture conditions for summertime hot extremes over North China. We will analyze the relationships of summertime hot extremes over North China to vegetation, soil temperature, and soil moisture by using observational data, remote sensing data, and reanalysis and land surface assimilation products, and further identify key regions of land feedbacks. Then, we will reveal physical processes responsible for vegetation, soil temperature, and soil moisture feedbacks on hot extremes over North China through both diagnostic analyses and model simulations. Finally, we will develop prediction models to test the role of antecedent vegetation, soil temperature, and soil moisture conditions in improving prediction skill of summertime hot extremes over North China. These results will help to better predict summertime hot extremes over North China, and enhance our ability to prevent and mitigate the disasters over this region.