A new generation climate model for prediction of climate change: FIO-ESM version 2

Figure 1. Framework of the FIO‐ESM v2.0. The atmosphere, land surface component models, and coupler are upgraded from FIO‐ESM v1.0; the surface wave model is coupled to the ocean component model instead of to the coupler in FIO‐ESM v1.0.

 

Climate models are core tools for understanding the mechanisms underlying climate change and prediction. Model innovation substantially contributes to the understanding of processes and mechanisms in every component of the climate system. Recently, scientists from the First Institute of Oceanography, MNR of China developed a new generation of Earth System Model (FIO-ESM v2.0) and participated in the phase 6 of the Coupling Model Intercomparison Project (CMIP6), the results have been published in JGR Oceans.

FIO‐ESM v2.0 (Figure 1) was developed based on FIO‐ESM v1.0, which is the world’s first climate model including the non-breaking surface wave-induced mixing (Bv). In this version, both the dynamic processes and the model resolutions are improved. The effects of air-sea interaction on the earth system is highly valued. Modelers added the effect of surface wave Stokes drifts on air-sea momentum and heat fluxes, the effect of sea spray from wave breaking on air-sea heat fluxes and the effect of sea surface temperature (SST) diurnal cycle on air-sea heat and gas fluxes to the system.

Following the CMIP6 protocol, the Diagnostic, Evaluation, and Characterization of Klima (DECK) and historical experiments were conducted. FIO‐ESM v2.0 can well reproduce the climate changes with respect to Surface Air Temperature (SAT), Sea Surface Temperature (SST), ENSO and AMOC. The historical simulation of the global annual mean SAT anomaly performance well, reaching to the correlation coefficient of 0.92 with observations. One long-standing common model biases, the large warm SST bias at the east coast of each ocean basin is dramatically reduced in this new system. The ENSO period within the range of 2-7 years is well reproduced with the largest variation of SST anomalies occurring in boreal winter.

One of the authors, Dr. Fangli is an emeritus of the CLIVAR Ocean Model Development Panel (OMDP), which is a very active group once has led many successful CMIP endorsed experiments, including CORE and OMIP etc.

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Bao, Y., Song, Z., & Qiao, F. (2020). FIO‐ESM version 2.0: Model description and evaluation. Journal of Geophysical Research: Oceans, 125, e2019JC016036. https://doi.org/10.1029/2019JC016036