2011： 斯坦福大学 (Stanford University)，环境流体力学，博士
2008： 斯坦福大学 (Stanford University)，环境流体力学，硕士
2003： 中科院大气物理所，大气科学，硕士
2000： 北京大学，大气科学，学士

2023 – 至今： bat365在线登录入口，长聘教轨副教授
2016 – 2023： Rutgers University，助理研究教授
2015 – 2016： Rutgers University，副研究员
2011 – 2015： Rutgers University，助理研究员
2011 – 2011： Rutgers University，博士后

主要研究海洋多尺度动力过程的相互作用及其对大气和生态系统的影响。研究方法是理论分析和数值模拟相结合。

1） 海洋多尺度相互作用和能量串级
• 多尺度能量分析的理论框架
• 内波、涡旋的生消发展和时空变率
• 涡旋与大尺度环流的相互作用
• 涡旋与内波的相互作用
• 中尺度与亚中尺度涡旋的相互作用

2）气候与海洋生态系统
• 区域气候变化与大气大尺度环流异常的联系
• 中尺度海气相互作用及其对天气和气候的影响
• 多尺度海洋动力过程对海洋生态系统的影响

3）数值方法与模拟
• 海洋模式和数值算法的开发与改进 (SUNTANS, ROMS, MOM6)
• 多尺度海洋模式的耦合
• 海洋物理–生态模式的耦合
• 海洋、大气、生态系统的高精度模拟

4）人工智能在海洋学中的应用
• 海洋特征的智能识别
• 海洋参数的智能预测

欢迎对以上研究方向感兴趣的本科生、硕士生、博士生和博士后加入！

• Wither the Gulf Stream Workshop: Present understanding and future opportunities for elucidating the role of the Gulf Stream in weather and climate：US CLIVAR / NASA / NOAA / NSF，主持，2022
• Building capacity for predictability of climate impacts on living marine resources in US coastal systems using the NOAA MOM6 ocean model：NOAA，骨干，2020–2024
• Developing regional ocean modeling capabilities with MOM6 for use in the Unified Forecast System：NOAA，骨干，2020–2023
• A high-resolution physical-biological study of the Northeast U.S. shelf: Past variability and future change：NOAA，骨干，2015–2020
• Collaborative research: EaSM-3: Regional decadal predictions of coupled climate-human systems：NSF，参与，2014–2018
• Integrated Rapid-Response Observations and Ocean Ensemble Optimization to Improve Storm Intensity Forecasts in the Northeast U.S.：NOAA，参与，2013–2016
• A CRI-EaSM Collaborative proposal: Climate-to-humans: A study of urbanized coastal environments, their economics and vulnerability to climate change：NSF，骨干，2011–2016
• Collaborative Proposal: Multi-Scale Modeling: Assessing the role of eastern boundary upwelling regions and their ecosystems on climate variability using a fully coupled model：NSF，参与，2010–2016
• ROMS and SUNTANS continued development and support of AESOP and NLIWI：ONR，骨干， 2005–2009

• Ross, A., C. Stock, A. Adcroft, E. Curchitser, R. Hallberg, M. Harrison, K. Hedstrom, N. Zadeh, M. Alexander, W. Chen, E. Drenkard, H. du Pontavice, R. Dussin, F. Gomez, J. John, D. Kang, D. Lavoie, L. Resplandy, A. Roobaert, V. Saba, S. Shin, S. Siedlecki, and J. Simkins (2023): “A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12 v1.0)”, Geosci. Model Dev., 16, doi: 10.5194/gmd-16-6943-2023.
• Hua, W., K. Bemis, D. Kang, S. Ozer, and D. Silver (2023): "A hybrid 3D eddy detection technique based on sea surface height and velocity field", in: Workshop on Visualisation in Environmental Sciences (EnvirVis), edited by S. Dutta, K. Feige, K. Rink, and D. Zeckzer, pp. 9-16, The Eurographics Association, doi: 10.2312/envirvis.20231101.
• Yan, X., D. Kang, E. Curchitser, X. Liu, C. Pang & L. Zhang (2023): “Seasonal variability of eddy kinetic energy along the Kuroshio Current”, J. Phys. Oceanogr., 53, doi: 10.1175/JPO-D-22-0155.1.
• Yan, X., D. Kang, C. Pang, L. Zhang & H. Liu (2022): “Energetics analyses of the eddy-Kuroshio interaction east of Taiwan”, J. Phys. Oceanogr., 52, doi: 10.1175/JPO-D-21-0198.1.
• Kang, D., E. Curchitser & X. Yan (2020): “Energetics of eddy-mean flow interactions in western boundary currents: Gulf Stream and Kuroshio Current”, in: Sources and Sinks of Ocean Mesoscale Eddy Energy, CLIVAR Exchanges/US CLIVAR Variations, 18, doi: 10.5065/g8w0-fy32.
• Ozer, S., K. Bemis, W. Hua, A. Goktogan, M. Aydogan, K. Guo, D. Kang, L. Liu & D. Silver (2020): “The use of 3D optical flow, feature-tracking and token-tracking petri nets to analyze and visualize multiple scales of ocean eddies”, IEEE Vis Conference, SciVis Contest Paper.
• Yan, X., D. Kang, E. Curchitser & C. Pang (2019): “Energetics of eddy-mean flow interactions along the western boundary currents in the North Pacific”, J. Phys. Oceanogr., 49, doi: 10. 1175/JPO-D-18-0201.1.
• Chen, Z., E. Curchitser, R. Chant & D. Kang (2018): “Seasonal variability of the cold pool over the Mid-Atlantic Bight continental shelf”, J. Geophys. Res. Oceans, 123, doi:10.1029/2018 JC014148.
• Zhang, S., E. Curchitser, D. Kang, C. Stock & R. Dussin (2018): “Impacts of mesoscale eddies on the vertical Nitrate flux in the Gulf Stream region”, J. Geophys. Res. Oceans, 123, doi: 10. 1002/2017JC013402.
• Liu, L., D. Silver, K. Bemis, D. Kang & E. Curchitser (2017): “Illustrative visualization of meso- scale ocean eddies”, Computer Graphics Forum, 36, doi: 10.1111/cgf.13201.
• Kang, D. & E. Curchitser (2017): “On the evaluation of seasonal variability of the ocean kinetic energy”, J. Phys. Oceanogr., 47, doi: 10.1175/JPO-D-17-0063.1.
• Kang, D., E. Curchitser & A. Rosati (2016): “Seasonal variability of the Gulf Stream kinetic energy”, J. Phys. Oceanogr., 46, doi: 10.1175/JPO-D-15-0235.1.
• Kang, D. & E. Curchitser (2015): “Energetics of eddy-mean flow interactions in the Gulf Stream region”, J. Phys. Oceanogr., 45, doi: 10.1175/JPO-D-14- 0200.1.
• Kang, D. & E. Curchitser (2013): “Gulf Stream eddy characteristics in a high-resolution ocean model”, J. Geophys. Res. Oceans, 118, doi: 10.1002/ jgrc.20318.
• Kang, D. (2012): “Barotropic and baroclinic tidal energy”, in: Energy Conservation, edited by A. Z. Ahmed, pp. 57-72, InTech, doi: 10.5772/52293.
• Kang, D. & O. Fringer (2012): “Energetics of barotropic and baroclinic tides in the Monterey Bay area”, J. Phys. Oceanogr., 42, doi: 10.1175/JPO-D-11-039.1.
• Kang, D. & O. Fringer (2010): “On the calculation of available potential energy in internal wave fields”, J. Phys. Oceanogr., 40, doi: 10.1175/2010JPO4497.1.
• Kang, D. & O. Fringer (2006): “Efficient computation of the nonhydrostatic pressure”, Proc. 16th International Offshore & Polar Engr. Conf., 3: 414-419.
• Kang, D. & O. Fringer (2006): “Time accuracy of pressure methods for nonhydrostatic free-surface flows”, Proc. 9th International Conf. on Estuarine & Coastal Modeling, 419-433.
• Kang, D. & H. Wang (2005): “Analysis on the decadal scale variation of the dust storm in North China”, Science in China (D), 48(12): 2260-2266.
• 康杜娟, 王会军 (2005): “中国北方沙尘暴气候形势的年代际变化”，中国科学D辑 - 地球科学, 35(11): 1096-1102.
• 王会军, 郎咸梅, 周广庆, 康杜娟 (2003): “我国今冬和明春气候异常与沙尘气候形势的模式预测初步报告”, 大气科学, 27(1): 136-140.
• 王蕾, 康杜娟, 李晓东 (2002): “多模态模型及其在气候分析中的应用”, 北京大学学报, 38(1): 83-89.

SJTU 研究生课程
• 机器学习在海洋学中的应用（秋）
• 大洋环流基础（春）

Rutgers 研究生课程
• Fundamentals of Geophysical Fluid Dynamics（2021 & 2023）
• Large Scale Atmosphere-Ocean Dynamics（2018）

Stanford 本科生课程
• Modeling and Simulation for Civil and Environmental Engineers（2008）