戴国锟 - 复旦大学 - 大气与海洋科学系、大气科学研究院

个人简介

教育背景 2008年9月-2012年7月，南京信息工程大学，理学学士 2012年9月-2017年7月，中国科学院大气物理研究所，理学博士研究经历 2017年6月-2021年5月，复旦大学，博士后 2021年5月-至今，复旦大学，青年副研究员教学经历 2021年9月 — 至今，可预报性、资料同化和集合预报，研究生课程，复旦大学大气与海洋科学系

研究领域

北极与中纬度天气气候的联系，中纬度天气气候可预测性

近期论文

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Dai, G., Mu, M., & Jiang, Z.* (2016). Relationships between optimal precursors triggering NAO onset and optimally growing initial errors during NAO prediction. Journal of the Atmospheric Sciences, 73(1), 293-317. Dai, G., Mu, M., & Jiang, Z.* (2019). Evaluation of the forecast performance for North Atlantic Oscillation onset. Advances in Atmospheric Sciences, 36(7), 753-765. Dai, G., Mu, M.*, & Jiang, Z. (2019). Targeted Observations for Improving Prediction of the NAO Onset. Journal of Meteorological Research, 33(6), 1044-1059. Dai, G., & Mu, M.* (2020). Influence of the Arctic on the predictability of Eurasian winter extreme weather events. Advances in Atmospheric Sciences, 37(4), 307-317. Dai, G., & Mu, M.* (2020). Arctic Influence on the Eastern Asian Cold Surge Forecast: A Case Study of January 2016. Journal of Geophysical Research: Atmospheres, 125(23), e2020JD033298. Dai, G., Mu, M.*, Li, C., Han, Z., & Wang, L. (2021). Evaluation of the Forecast Performance for Extreme Cold Events in East Asia with Subseasonal-to-Seasonal Datasets from ECMWF. Journal of Geophysical Research: Atmospheres, 126(1), e2020JD033860. Dai, G., Mu, M.*, & Wang, L. (2021). The Influence of Sudden Arctic Sea-Ice Thinning on North Atlantic Oscillation Events. Atmosphere-Ocean, 59(1), 39-52. Dai, G., Li, C., Han Z.*, Luo, D, & Yao, Y. (2021). The nature and predictability of the East Asian extreme cold events of 2020/21. Advances in Atmospheric Sciences. Yuan, S., Luo, X., Mu, B.*, Li, J., & Dai, G. (2019). Prediction of North Atlantic Oscillation index with convolutional LSTM based on ensemble empirical mode decomposition. Atmosphere, 10(5), 252. Mu, B., Li, J., Yuan, S.*, Luo, X., & Dai, G. (2020). CNOP-P-Based Parameter Sensitivity Analysis for North Atlantic Oscillation in Community Earth System Model Using Intelligence Algorithms. Advances in Meteorology, 2020. Zhang, R.*, Zhang, R., & Dai, G. (2021). Intraseasonal contributions of Arctic sea-ice loss and Pacific decadal oscillation to a century cold event during early 2020/21 winter. Climate Dynamics. Chen, R., Dai, G., Liu, R., & Wang, L.* (2021). Seasonal Influence of the Atmosphere and Ocean on the Fall Sea Ice Extent in the Barents-Kara Seas. Journal of Geophysical Research: Atmospheres, 126, e2021JD035114.