2023
DOI: 10.1016/j.aosl.2022.100288
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Performance of CMIP6 models in simulating the dynamic sea level: Mean and interannual variance

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Cited by 4 publications
(2 citation statements)
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“…The models MPI-ESM1-2-HR and NorESM2-MM showed that as sea levels approached the east coast of Peninsular Malaysia, the bias range increased steadily from −0.2 to −0.05 m. CMCC-ESM2 showed minor sea level variations, with the sea level bias indicating a shaded blue colour on most seas. In contrast, the TaiESM1 and multi-model mean ensemble show that going down the SCS, the bias range drops from −0.2 metres to −0.15 m. These biases arise from the models' ability to replicate the ocean processes to simulate the dynamic sea level variance[32].…”
mentioning
confidence: 91%
“…The models MPI-ESM1-2-HR and NorESM2-MM showed that as sea levels approached the east coast of Peninsular Malaysia, the bias range increased steadily from −0.2 to −0.05 m. CMCC-ESM2 showed minor sea level variations, with the sea level bias indicating a shaded blue colour on most seas. In contrast, the TaiESM1 and multi-model mean ensemble show that going down the SCS, the bias range drops from −0.2 metres to −0.15 m. These biases arise from the models' ability to replicate the ocean processes to simulate the dynamic sea level variance[32].…”
mentioning
confidence: 91%
“…We attribute sea‐level changes over the Indo‐Pacific warm pool region during the historical period (1950–2014) to natural and anthropogenic forcings from the recent generation of climate models from CMIP Phase 6 (CMIP6; Eyring et al., 2016). The CMIP6 climate models realistically represent regional sea‐level variability (Chen et al., 2023; Ferrero et al., 2021; Lyu et al., 2020; Sajidh & Chatterjee, 2023) and are widely used in attribution studies (e.g., Bai et al., 2022; Dong et al., 2021; Goodkin et al., 2021). We estimate the natural and anthropogenic contributions of historical sea‐level change, considering temperature (termed thermosteric), salinity (termed halosteric), and local mass of the ocean per unit area (termed manometric) components.…”
Section: Introductionmentioning
confidence: 99%