Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Rep. 2019 Aug 29;9(1):12577. doi: 10.1038/s41598-019-49053-9.
Current seasonal climate predictions mainly reside in the ocean anomalies. However, the prediction skills are generally limited over many extra-tropical land areas where the oceanic effects are relatively weak. In this study, we address the potential of preceding spring soil moisture condition to predict summer hot days over Northeastern China, a typical Northern Hemisphere mid-latitude region. The results show that spring soil moisture condition over Central-Eastern China is closely related with following summer hot days over Northeastern China for the period of 1979-2017. The statistical model based on the preceding spring soil moisture condition yields temporal cross-validated correlation skill of 0.57 for summer hot days over Northeastern China. The spatial pattern correlation skills of independent hindcast experiments for 2009-2017 are also high, ranging from 0.87 to 0.94. Our results can be easily applied to practical prediction of summer hot days over Northeastern China, and help to provide better climate services and reduce the detrimental effects of extreme heat over this extra-tropical region.
当前的季节气候预测主要基于海洋异常。然而,在海洋影响相对较弱的许多亚热带陆地地区,预测技巧通常受到限制。本研究旨在探讨春季土壤湿度条件对预测中国东北地区夏季高温日数的潜力,中国东北地区是典型的北半球中纬度地区。结果表明,1979-2017 年期间,中国中东部地区春季土壤湿度条件与中国东北地区夏季高温日数密切相关。基于前期春季土壤湿度条件的统计模型对中国东北地区夏季高温日数的时间交叉验证相关系数为 0.57。2009-2017 年独立后报试验的空间相关系数也很高,范围在 0.87 到 0.94 之间。我们的研究结果可直接应用于中国东北地区夏季高温日数的实际预测,有助于提供更好的气候服务,并减少该亚热带地区极端高温的不利影响。