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戴國錕(Guokun Dai)


戴國錕

副教授

daigk@fudan.edu.cn

021-31248857

  


研究興趣

北極與中緯度天氣氣候的聯系🥗🧰,中緯度天氣氣候可預測性


教育背景

20089-20127月👳🏼‍♂️,南京信息工程大學👮🏽‍♀️,理學學士

20129-20177月🕰,中國科學院大氣物理研究所👩🏻‍🚀🏊🏿‍♀️,理學博士

  

研究經歷

20176-20215月,沐鸣2平台😑,博士後

20215-至今,沐鸣2平台,青年副研究員

  

承擔課題

1.國家自然基金委青年科學基金,“冬季北極對流層快速增溫事件對中緯度極端低溫事件對影響及機理研究”,20211-202312月,主持

2.LASG國家重點實驗室開放基金🔛,“近年來中國冬季極端冷事件對可預報性研究”,20191-202012月⛏,主持

3.國家自然基金委重大項目,“北極海--氣系統對歐亞大陸冬季極端天氣事件可預報性的影響”🔟,20181-202212月,參與

  

教學經歷

20219月 — 至今🙍🏻,可預報性🐾、資料同化和集合預報,研究生課程,沐鸣2


發表論文

(本人名稱加粗,通訊作者加*號)

1.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 Sciences73(1), 293-317.

2.Dai, G., Mu, M., & Jiang, Z.* (2019). Evaluation of the forecast performance for North Atlantic Oscillation onset. Advances in Atmospheric Sciences36(7), 753-765.

3.Dai, G., Mu, M.*, & Jiang, Z. (2019). Targeted Observations for Improving Prediction of the NAO Onset. Journal of Meteorological Research33(6), 1044-1059.

4.Dai, G., & Mu, M.* (2020). Influence of the Arctic on the predictability of Eurasian winter extreme weather events. Advances in Atmospheric Sciences37(4), 307-317.

5.Dai, G., & Mu, M.* (2020). Arctic Influence on the Eastern Asian Cold Surge Forecast: A Case Study of January 2016. Journal of Geophysical Research: Atmospheres125(23), e2020JD033298.

6.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.

7.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.

8.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.

9.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. Atmosphere10(5), 252.

10.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 Meteorology2020.

11.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.

12.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.

  


  #以上信息由本人提供👩🏽‍🦲,更新時間:2021/11/11


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