A global perspective on CMIP5 climate model biases

By Chunzai Wang, Liping Zhang, Sang‐Ki Lee, Lixin Wu, C. Mechoso. 2014

606 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/1a2d767f7e4f7ae9bc2d26e814fabf5b89a023f1

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Citations in the corpus

Opinion: Cloud-phase climate feedback and the importance of ice-nucleating particles (2020, background): “In many models, these shallow clouds contain too little supercooled water, exposing the dark ocean underneath and resulting in sea surface temperatures around 2 ◦C too warm (Wang et al., 2014).”
Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1 (2019, background): “This warm bias is relatively common in CMIP models (Wang et al., 2014) and has been shown to have an impact on tropical mean climate (Cabré et al., 2017; Mechoso et al., 2016); we may thus expect that this regional improvement may provide benefits on other regions in the model.”
Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP) (2018, background): “Sein et al. (2018) used an even lower background diffusivity in the Arctic Ocean of about 1×10−6 m2 s−1 in the Finite Element Sea Ice-Ocean Model (FESOM) that is 1 order of magnitude lower than in the default version (1.4) (Q. Wang et al., 2014).”
Global Mean Climate and Main Patterns of Variability in the CMCC‐CM2 Coupled Model (2018, background): “The cold bias found in the North Atlantic at about 45°N (Figures 6d–6f) is also common to many coupled models (Wang et al., 2014) and is a typical feature of NEMO ocean model, mostly at 1° horizontal resolution, in forced mode as well (Danabasoglu et al.”
A Review of the Role of the Atlantic Meridional Overturning Circulation in Atlantic Multidecadal Variability and Associated Climate Impacts (2019, background): “The diverse AMOC‐AMV linkage in unforced CGCM simulations is likely affected by the spread of mean state model biases in the North Atlantic (Ba et al., 2014; Brown et al., 2016; Menary et al., 2015; Wang et al., 2014; Wu et al., 2018).”
Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model (2020, background): “A similar attention was given to the reduction of the classic latitudinal SST biases, which counteracts a tendency of the model to produce too cold midlatitude SSTs and a warm bias close to Antarctica (e.g., Wang et al., 2014).”