My bio and research interests

Born at 342ppm in Sichuan, China.

My primary research interest lies in enhancing predictions related to the global carbon cycle by uncovering the underlying mechanisms that include variability and predictability within the Earth system.

I work towards improving near-term predictions of the global carbon cycle and climate changes by initializing Earth system models with observations and enhancing the understanding and representation of carbon-climate feedbacks through large ensemble simulations and high-resolution modeling.

Furthermore, I pursue integration of model simulations and observational data with statistical and machine learning methodologies to deepen our understanding and further constrain uncertainties of predictions and projections of future trends in the carbon cycle, climate dynamics, and extreme events.

My selected research highlights

Li et al. 2023, ESD

For the first time, our decadal prediction system enables prognostic atmospheric CO2 with an interactive carbon cycle. The evolution of CO2 fluxes and atmospheric CO2 growth is well reconstructed and can be predicted into the next year with high confidence. esd.copernicus.org/articles/14/101/2023/

Li et al. 2019, Sci. Adv.

We found the predictive skill of the global ocean carbon sink up to 2 years with a longer predictability horizon regionally, which is maintained by the nonthermal drivers of the ocean surface pCO2. www.science.org/doi/10.1126/sciadv.aav6471

Li et al. 2016, Nat. Comm.

As the first study in the world on decadal prediction of the ocean carbon uptake, we revealed a predictive skill of 4-7 years in the North Atlantic subpolar gyre region. The predictive skill is mainly maintained in winter and is attributed to the improved physical state of the ocean. www.nature.com/articles/ncomms11076

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Dr. Hongmei Li

My bio and research interests

My selected research highlights

Li et al. 2023, ESD

Li et al. 2019, Sci. Adv.

Li et al. 2016, Nat. Comm.