Gao headshot
Assistant Professor

C211 SEEC (East Campus)
Boulder, CO 80303

Brief Bio: Dr. Chuan Gao is an Assistant Professor of Physical Oceanography at the Institute of Oceanology, Chinese Academy of Sciences in Qingdao, China. Dr. Gao is joining the Oceans and Climate Lab at CU Boulder as a Visiting Researcher throughout 2019, and her research interests include ocean modeling, data assimilation, and air-sea interaction. She has published several papers on ENSO simulation and prediction and related topics as listed below.


Gao, C., Zhang RH, Wu XR and Sun JC, 2018: Idealized experiments for optimizing model parameters using a 4D-Variational method in an intermediate coupled model of ENSO, Adv. Atmos. Sci., 35(4): 410-422. doi: 10.1007/s00376-017-7109-z

Tao, LJ, Gao, C., and R.-H., Zhang, 2018: Model parameter-related optimal perturbations and their contributions to El Niño prediction errors, Climate Dynamics, DOI: 10.1007/s00382-018-4202-7

Tao LJ, Gao C, and Zhang RH, 2018: ENSO predictions in an ICM influenced by removing initial condition errors in the sensitive areas: A target observation perspective. Adv Atmos Sci., 35(7): 853-867.  doi: 10.1007/s00376-017-7138-7

Zhang RH, Tao LJ, Gao C, 2018: An improved simulation of the 2015 El Niño event by optimally correcting the initial conditions and model parameters in an intermediate coupled model. Climate Dynamics, 51(1-2): 269-282 DOI: 10.1007/s00382-017-3919-z

Kang XB, Zhang RH, Gao C., Zhu JS, 2017: An improved ENSO simulation by representing chlorophyll-induced climate feedback in the NCAR Community Earth System Model, Scientific Reports, 7:17123. doi:10.1038/s41598-017-17390-2

Zhang, R. H., and Gao, C., 2017: Processes involved in the second-year warming of the 2015 El Niño event as derived from an intermediate ocean model,SCIENCE CHINA Earth Sciences, 60(9), 1601-1613, doi: 10.1007/s11430-016-0201-9.  (Q3, IF=1.655)

Tao LJ, Zhang RH, and Gao C, 2017: Initial error-induced optimal perturbations in ENSO predictions, as derived from an intermediate coupled model. Adv Atmos Sci. 34(6): 791-803. doi: 10.1007/s00376-017-6266-4.

Gao, C., Zhang, R. H., 2017: Roles of atmospheric wind and entrained water temperature (Te) in the second-year cooling of the 2010-12 La Niña event. Climate Dynamics. 48(1) : 597-617.  

Gao, C., Wu, X. R., and Zhang, R. H., 2016: Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction. Adv. Atmos. Sci., 33(7) : 875-888.

Zhang, R. H., and Gao, C., 2016: Role of subsurface entrainment temperature (Te) in the onset of El Niño events, as represented in an intermediate coupled model. Climate Dynamics, 46(5), 1417-1435

Zhang, R. H., and Gao, C., 2016: The IOCAS intermediate coupled model (IOCAS ICM) and its real-time predictions of the 2015-16 El Niño event. Science Bulletin. 61(13): 1061-1070.

Zhang, R. H., Gao, C., Kang, X., Zhi, H., Wang, Z., & Feng, L, 2015: ENSO Modulations due to Interannual Variability of Freshwater Forcing and Ocean Biology-induced Heating in the Tropical Pacific. Scientific Reports, 5: 18506.