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SURFACE AIR TEMPERATURE - MODEL BIAS

DOI

Figure number: 3.3 From the IPCC Working Group I Contribution to the Sixth Assessment Report: Chapter 3

Figure 3.3

Description:

The figure shows the annual-mean surface (2 m) air temperature (°C) for the period 1995–2014. (a) Multi-model (ensemble) mean constructed with one realization of the CMIP6 historical experiment from each model. (b) Multi- model mean bias, defined as the difference between the CMIP6 multi-model mean and the climatology of the Fifth generation of ECMWF atmospheric reanalyses of the global climate (ERA5). (c) Multi-model mean of the root mean square error calculated over all months separately and averaged with respect to the climatology from ERA5. (d) Multi-model-mean bias as the difference between the CMIP6 multi-model mean and the climatology from ERA5. Also shown is the multi- model mean bias as the difference between the multi-model mean of (e) high resolution and (f) low resolution simulations of four HighResMIP models and the climatology from ERA5. Uncertainty is represented using the advanced approach: No overlay indicates regions with robust signal, where ≥66% of models show change greater than variability threshold and ≥80% of all models agree on sign of change; diagonal lines indicate regions with no change or no robust signal, where <66% of models show a change greater than the variability threshold; crossed lines indicate regions with conflicting signal, where ≥66% of models show change greater than variability threshold and <80% of all models agree on sign of change. For more information on the advanced approach, please refer to the Cross-Chapter Box Atlas.1. Stippling in panel e) marks areas where the bias in high resolution versions of the HighResMIP models is lower in at least 3 out of 4 models than in the corresponding low resolution versions.

Author list:

  • Bock, L.: DLR, Germany; lisa.bock@dlr.de
  • Bellouin, N.: University of Reading, UK
  • Eyring, V.: DLR., Germany

Publication sources:

Bock, L., Lauer, A., Schlund, M., Barreiro, M., Bellouin, N., Jones, C., Predoi, V., Meehl, G., Roberts, M., and Eyring, V.: Quantifying progress across different CMIP phases with the ESMValTool, Journal of Geophysical Research: Atmospheres, 125, e2019JD032321. https://doi.org/10.1029/2019JD032321

ESMValTool Branch:

ESMValCore Branch:

Recipe & diagnostics:

Recipes used:

Diagnostics used:

Expected image path:

  • recipe_ipccwg1ar6ch3_atmosphere_YYYYMMDD_HHMMSS/plots/fig_3_3_cmip5/fig_3_3/model_bias_tas_annualclim_CMIP5.eps
  • recipe_ipccwg1ar6ch3_atmosphere_YYYYMMDD_HHMMSS/plots/fig_3_3_cmip6/fig_3_3/model_bias_tas_annualclim_CMIP6.eps

Software description:

Hardware description:

Machine used: Mistral