C211 SEEC (East Campus)
Boulder, CO 80303
Brief Bio: Dr. Chuan Gao is an Assistant Professor of Physical Oceanography at the , 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.
Publications
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 Ni帽o 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.聽 doi: 10.1007/s00376-017-7138-7
Zhang RH, Tao LJ, Gao C, 2018: An improved simulation of the 2015 El Ni帽o 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 Ni帽o event as derived from an intermediate ocean model锛�SCIENCE CHINA Earth Sciences, 60(9), 1601-1613, doi: 10.1007/s11430-016-0201-9.聽 (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 Ni帽a event. Climate Dynamics. 48(1) : 597-617. 聽
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 Ni帽o 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 Ni帽o 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.