秦箭煌

发布时间:2021-04-09浏览次数:9688

秦箭煌,男,副教授,研究生学历,博士学位

(Email: qinjianhuang@hhu.edu.cn)



学习经历:


2017.09-2020.09     上海交通大学         海洋科学        博士

2014.09-2017.06     南京信息工程大学      气象学         硕士

2014.09-2017.06     中科院大气物理研究所

2010.09-2014.06     南京信息工程大学      大气科学        学士


工作经历:

 

2023.01-至今          河海大学                   副研究员、副教授

2022.11-2023.01     河海大学                   助理研究员

2020.10-2022.10    河海大学                     博士后


学术兼职:

2025.09-至今     npj Climate and Atmospheric Science     Associate Editor   并获得Author Service Award



研究方向:

 

季节内海气相互作用

热带外与热带相互作用

 


主讲课程:


本科生:《海洋遥感》、《海洋遥感与AI融合实践课程》、《卫星海洋学课程设计》

研究生:《高等大气动力学》



科研项目:

 

9) 中国气象局海峡灾害天气重点开放实验室开放课题, 台湾海峡及周边海域极端大风事件的成因及预测,  2026/01-2027/12, 在研,主持。

8)国家自然科学(面上)基金项目,孟加拉湾海洋上层热含量的季节内变化对季风季节内振荡的响应及反馈机制研究,2026/01-2029/12,在研,主持。

7)南通市青年基金,南通及沿海地区极端大风事件的成因及预测,2023/12-2026/12,在研,主持。

6)中央高校基本科研业务费,引进教师科研启动费,2023/06-2025/06,结题,主持。

5)福建省海洋物理与地质过程重点实验室开放基金,孟加拉湾北部热含量季节内变化及与印度洋夏季风的联系,2023/10-2025/10,结题,主持。

4)国家自然科学(青年)基金项目,季风季节内振荡期间海洋上层温度变化机制及对大气的反馈,2022/01-2024/12,结题,主持。

3)中国博士后面上基金,中印度洋模态正位相期间海气热通量的变化机制及对大气的反馈,2022/07-2022/10,结题,主持。

2)中国科学院南海研究所开放基金,热带印度洋热含量变化对季风季节内振荡的反馈,2022/07-2024/06,结题,主持。

1)中央高校自由探索专项,海洋对季风季节内振荡的响应,2021/01-2022/12,结题,主持。



一作及通讯论文:

 

18. Qin, J.*, Qian, X., Li, B., Zhou, L., & Lian, T. (2026). Sensitivity of Simulated Rossby Waves in the Southern Bay of Bengal to Horizontal Resolution. Ocean Modeling, 102824.

17. Shi, Q., Qin, J.*, Li, B., & Meng, Z. (2026). Assessing the Model Spread in Monsoon Intraseasonal Oscillation: The Role of Oceanic Feedbacks in CMIP6 Models. SCIENCE CHINA Earth Sciences, in press.

16. Wang, A., Qin, J.*, Song, X., & Murtugudde, R. (2026). Mechanism for the asymmetric responses of mixed-layer chlorophyll-a concentration in the tropical Pacific to El Niño and La Niña. Journal of Geophysical Research: Oceans,131, e2025JC023766.

15. Shi, Q., Qin, J.*, & Li, B. (2026). Mean biases dominate CMIP6 model deficiencies in simulating heavy rainfall during monsoon intraseasonal oscillation. Geophysical Research Letters, 53, e2025GL119176.

14. Qin, J.*, Li, H., Li, B., & Murtugudde, R. (2026). Relationship between intraseasonal variability of upper ocean heat content in the Bay of Bengal and Monsoon Intrasasonal Oscillations. Journal of Geophysical Research: Oceans, 131, e2025c02329s.

13. Liang, W., Qin, J.*, Li, B., & Qiu, Y. (2026). Increased mixed layer salinity during the monsoon intraseasonal Oscillation in the Northern Bay of Bengal. Geoscience Letters, 13, 3.

12. Yang, Z., Qin, J.*, Qian, X., & Yang, C. (2025). Seasonal variability of the Agulhas Front’s position and intensity: Insights from satellite-derived sea surface temperature and chlorophyll-a concentration data. Atmospheric and Oceanic Science Letters, 100715.

11. Chen., C., Xu, C., Qin, J.*, Kang, Y., & Wang, G. (2024). The spatial and temporal differences of upper ocean in tropical Pacific during the “triple-dip” La Nina of 2020-2023. Journal of Marine Sciences, 42(4), 12-20. (in Chinese)

10. Qin, J., Ding, R.*, Zhou, L., Liu, H., Long, S., &Tao, L. (2024). Cross-Seasonal Effect on Tropical Pacific Precipitation: Implication of South Pacific Quadrupole Simulation in CMIP6. Journal of Climate, 37(23), 6127–6142.

9. Qin, J.*, Liu, H., & Li, B. (2023). Unprecedented warming in Northwestern India during April of 2022: roles of local forcing and atmospheric Rossby wave. Geoscience Letters, 10(1), 2.

8. Qin, J.*, Zhou, L., Li, B., & Meng, Z. (2022). Prediction of Central Indian Ocean mode in S2S models. Frontiers in Marine Science,9:880469.

7. Qin, J.*, Meng, Z., Xu, W., Li, B., Cheng, X., & Murtugudde, R. (2022). Modulation of the intraseasonal chlorophyll-a concentration in the tropical Indian Ocean by the Central Indian Ocean Mode. Geophysical Research Letters, e2022GL097802.

6. Qin, J., Cheng, X.*, Yang, C., Ou, N., & Xiong, X. (2022). Mechanism of interannual variability of ocean bottom pressure in the South Pacific. Climate Dynamics,1-14.

5. Qin, J.*, Zhou, L., Ding, R., & Li, B. (2022). Predictability Limit of Monsoon Intraseasonal Precipitation: An Implication of Central Indian Ocean Mode. Frontiers in Marine Science. 8:809798.

4.Qin, J., Zhou, L.*, Meng, Z., Li, B., Lian, T., & Murtugudde, R. (2022). Barotropic energy conversion during Indian summer monsoon: implication of Central Indian Ocean Mode Simulation in CMIP6. Climate Dynamics, 1-20.

3. Qin, J., Zhou, L.*, Li, B., & Murtugudde, R. (2020). Simulation of Central Indian Ocean mode in S2S models. Journal of Geophysical Research: Atmospheres, 125(21), e2020JD033550.

2.Qin, J.*, Zhou, L., Ding, R., & Li, J. (2018). Influence of South Pacific quadrapole on austral winter precipitation over the SPCZ. Environmental Research Letters, 13, 094024.

1. Qin, J., Ding, R., Wu, Z.*, Li, J., & Zhao, S. (2017). Relationships between the extratropical ENSO precursor and leading modes of atmospheric variability in the Southern Hemisphere. Advances in Atmospheric Sciences, 34, 360-370.