毕海波，男，研究员，博士生导师。主要在极地北极海冰与全球气候变化、中高纬冰-气-海相互作用、卫星海洋遥感等前沿领域开展研究。主持了国家自然科学基金项目、崂山实验室、科技部重点研发等课题10余项。以第一/通讯作者在Journal of Climate、The Cryosphere、JGR-Atmospheres/Ocean、Climate Dynamics、GRL等学术期刊上发表研究论文50篇。其中，近五年发表第一/通讯论文20余篇（包括JCR一区TOP期刊10篇），并作为合作者在Science杂志发表文章一篇。申报国家发明专利11项，获计算机软件注册权2项，获得奖励2次。培养优秀博士研究生2名（均以优异的学术成绩毕业，分别获得2020和2023年博士国家奖学金资助、博士后站前特别资助、国家自然科学基金青年项目等）

一、研究领域

极地海冰与气候变化、中高纬冰-气-海相互作用、海洋遥感、数值模拟及预测

二、招生专业及方向

物理海洋学，海洋遥感与数值模拟、预测方法/海洋气象方向

三、研究室及联系方式

海洋环流与波动重点实验室，联系方式：bhb@qdio.ac.cn  

四、承担的主要科研项目

1.国家自然科学基金项目（面上），北极放大背景下的多年冰快速变化过程及大气驱动机制，2024/01-2027/12，主持。

2.崂山实验室“十四五”重点研究计划项目，课题负责人，2022.8-2026.7

3.科技部重点研发项目外协课题“北极向极水汽和能量输运对海冰的影响及机制”，2021-2024。主持。

4.国家自然科学基金项目（青年），基于多源卫星遥感数据的北极海冰体积输出通量研究，2015/01-2017/12，主持。

5.山东省自然科学基金面上项目，巴芬湾地区海冰输入和输出研究，2021-2023.主持。

6.中国博士后基金面上项目，北极弗拉姆海峡海冰体积通量研究，2014/08-2016/07，主持。

五、研究成果及奖励

(1) 改进了北极海冰关键参量的遥感算法，获得了质量更好的海冰厚度产品

考虑北极一年冰与多年冰密度差异，重新推到了北极海冰厚度反演算法，基于实测资料和卫星高度计观测数据，获取了2002年以来北极海冰厚度数据，为模式同化或预测结果验证提供关键数据集。

(2) 发现了春季北极大气环流模态对夏季海冰“跨季”影响新机制

不同于北极涛动（AO）、北极偶极子（AD），我们研究揭示，当第三主成分分析模态（Barents-Beaufort Oscillation，BBO）在春季出现正相位时，能够有效地通过动力过程促进夏季波弗特和楚科奇海地区海冰密集度的显著减少。

(3) 揭示了中纬度太平洋海温变化对北极海冰变化的调控机制

发现了PDO-型的气候背景态变化将使北极偶极子正相位（AD+）大气模态更活跃，揭示了自2000年以来夏季北极太平洋扇区的海冰面积加速减少对海洋背景模态的依赖机制。

六、代表性论文及著作

[1] Wang Y, Liang X, Bi H, Y Hou, Xichen Li* (2025) Tropical Indian Ocean warming drives an increase in bering sea ice concentration . Climate Dynamics, 63(6): 271.

[2] Liang X, Bi H, Liu C, et al. (2024),The linkage between wintertime sea ice drift and atmospheric circulation in an Arctic ice-ocean coupled simulation[J]. Ocean Modelling, 189

[3] Yan He, Qi Shu, Qiang Wang, Zhenya Song, Min Zhang, Shizhu Wang, Lujun Zhang, Haibo Bi, Rongrong Pan & Fangli Qiao, (2024). Arctic Amplification of marine heatwaves under global warming. Nature Communications, 127, 1-16. 

[4] Y. Liang, H.Bi*, R. Lei，T. Vihma，and H. Huang (2023). Atmospheric latent energy transport pathways into the Arctic and their connections to sea ice loss during winter over the observational period. Journal of Climate.  https://doi.org/10.1175/JCLI-D-22-0789.1 　

[5] Haibo Bi, Yu Liang, Xiaoyao Chen, (2023), Distinct role of a Spring atmospheric circulation mode in the Arctic sea ice decline in Summer, Journal of Geophysical Research-Atmospheres, doi:10.1029/2022JD037477

[6] Haibo, Bi , X Liang , Ruibo, Lei. , Mengqi, HU, & Shuo Wei (2023). Arctic summertime anticyclonic circulation mode and its influence on substantial sea ice depletion:a review. Advance in polar science, 34(2), 67-79.

[7] Wang Y, Yuan X, Bi H, et al. (2023). Understanding Arctic sea ice thickness predictability by a Markov model[J]. Journal of Climate, 36(15): 4879-4897.

[8] Di Qi, Zhangxian Ouyang, Liqi Chen*, Yingxu Wu, Ruibo Lei, Baoshan Chen, Richard A. Feely, Leif G. Anderson, Wenli Zhong, Hongmei Lin, Alexander Polukhin, Yixing Zhang, Yongli Zhang, Haibo Bi, Xinyu Lin, Yiming Luo, Yanpei Zhuang,J ianfeng He, Jianfang Chen, Wei-Jun Cai* (2022). Science, 377(6614):1544-1550

[9] Yu Liang, Haibo Bi*, Haijun Huang, Ruibo Lei, Xi Liang, Bin Cheng (2022). Contribution of warm and moist atmospheric flow to a record minimum July sea ice extent of the Arctic in 2020. The Cryosphere, 16, 1107–1123.

[10] Wang, Y., Yuan, X., Bi, H., Bushuk, M., Liang, Y., Li, C., & Huang, H. (2022). Reassessing seasonal sea ice predictability of the Pacific-Arctic sector using a Markov model. The Cryosphere, 16(3), 1141-1156.

[11] Yunhe wang Haibo Bi*, Yu liang, (2022) A Satellite-Observed Substantial Decrease in Multiyear Ice Area Export through the Fram Strait over the Last Decade, Remote Sensing, , 14(11), 2562; https://doi.org/10.3390/rs14112562

[12] Bi Haibo , Yunhe Wang, Yu Liang, Weifu Sun, Xi Liang, Qinglong Yu, Zehua Zhang, Xiuli Xu (2021).Influences of Summertime Arctic-Dipole Atmospheric Circulation on Sea Ice Concentration Variations in the Pacific Sector of the Arctic During Different Pacific Decadal Oscillation Phases. Journal of Climate, DOI: 10.1175/JCLI-D-19-0843.1

[13] Liang, Yu., Haibo. Bi*, Y. Wang, H. Huang and Y. Liu (2021). Role of Extratropical Wintertime Cyclones in Regulating the Variations of Baffin Bay Sea Ice Export. Journal of Geophysical Research: Atmospheres, DOI: 10.1029/2020JD033616.

[14] Haibo Bi, Yu Liang, Yunhe Wang, Xi Liang, Zehua Zhang,  Haijun Huang (2020). Arctic multiyear sea ice variability observed from satellites: A review. . Journal of Oceanology and Limnology. 38, 962–984, 2020

[15] LIANG, Yu, BI, Haibo*, WANG, & Yunhe, et al. (2020). A review of synoptic weather effects on sea ice outflow through fram strait: cyclone vs. anticyclone. Advances in polar science, 31(1), 1

[16] Bi Haibo, Yang Q, Liang X, et al. (2019), Contributions of advection and melting processes to the decline in sea ice in the Pacific sector of the Arctic Ocean. The Cryosphere, 13(5): 1423-1439.

[17] Bi Haibo, Zhang Z, Wang Y, et al. (2019), Baffin Bay sea ice inflow and outflow: 1978–1979 to 2016–2017. The Cryosphere, 2019, 13(3): 1025-1042.

[18] Wang Y, Yuan X, Bi Haibo*, et al. (2019), The Contributions of Winter Cloud Anomalies in 2011 to the Summer Sea‐Ice Rebound in 2012 in the Antarctic. Journal of Geophysical Research: Atmospheres, 2019, 124(6): 3435-3447.

[19] Bi Haibo, Zhang Jinlun, Wang Yunhe, Fu Min, Huang Haijun, Xu Xiuli. (2018) Arctic sea ice volume changes in terms of age as revealed from satellite observations, IEEE journal of selected topics on remote sensing application, 11(8):3123-3134.

[20] Bi Haibo，Sun Ke, Zhou Xuan, Huang Haijun, Xu Xiuli. (2016) Arctic Sea Ice Area Export Through the Fram Strait Estimated From Satellite-Based Data: 1988-2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7)：3144~3157

[21] Bi Haibo，Huang Haijun，Fu Min，Fu Tengfei，Zhou Xuan，Xu Xiuli. (2016) Estimating sea-ice volume flux out of the Laptev Sea using multiple satellite observations, Polar Research, 2016, 35, doi:10.3402/polar.v35.24875  

[22] Haibo Bi, Xiaofeng Yang, Ziwei Li, et al. (2014) Sea ice small-scale surface roughness estimation based on AMSR-E observations. International Journal of Remote Sensing, , 34(12):4425-4448.

发明专利：

1.毕海波,王云鹤,梁钰,张泽华,刘一霖,黄海军(2018).一种极地海冰漂移矢量可视化算法, 201810988594.x.

2.王云鹤,毕海波,秦克玉,黄海军(2019).一种面向ArcGIS极地矢量场可视化角度转换算法, ZL201710674691.7.

3.王云鹤,毕海波,刘一霖,黄海军(2019).一种面向IDL语言的海冰密集度求优算法, ZL201711282505.1.

4.王云鹤,毕海波,刘艳霞,黄海军(2017).一种面向IDL极地投影转换算法, 201711136796.3.

5.王云鹤,毕海波,黄海军(2017).一种面向IDL极地向量场可视化算法, 201711136282.8.

7.梁钰,毕海波,王云鹤,黄海军(2019)一种基于海平面气压数据的气旋中心识别和半径估算方,201910743457.3.

8.梁钰,毕海波,王云鹤,黄海军(2019)一种极地水汽输送通量的可视化算法,201910900162.3. (专利)

9.毕海波,梁钰,王云鹤,黄海军(2019).一种极地关键通道海冰输出面积的估算方法, 201911132406.4.