No, global warming is not 50% of what CMIP6 models predict.

The title is a reference to a post by Dr Roy Spencer titled
"An Earth Day Reminder: “Global Warming” is Only ~50% of What Models Predict"
It was reposted at WUWT here. I commented at both places.

The title is somewhat misleading; the post treats a subset of SST (sea surface temperature), not global warming, and does not deal with a supposed failure of a prediction, but a possible discrepancy in SST in the years 1979-2020, as modelled in the latest round (CMIP6). Here is Dr Roy's main plot:





It isn't true, and the reasons are to do with the fact that only a small subset of CMIP6 results have yet appeared. Roy (and I) use the results posted by KNMI Explorer. The two key data problems are

• Roy is using  near surface air temperatures (TAS) restricted to ocean. The CMIP version of SST is TOS, not yet posted for CMIP6. Both were posted for CMIP5 (see below), but TOS came later. I'll look at the CMIP5 results, and show how TOS and TAS differ considerably. CMIP5 TOS is quite close to observation in 1979-2020.
• Although 68 simulations have been published for TAS, as used by Roy, 50 of those came from one model, CanESM5. This does weight the results toward high warming in that period (and others); if removed, the CMIP6 results are fairly consistent with CMIP5.

CMIP5 results for TOS and TAS, and compared with observations.

I have used the CMIP5 results for RCP4.5. The scenario should not matter for historic data, where the forcings are known. They have some influence in the years since about 2011.

Here is a graph of results:



I have given both the 60S-60N and 90S-90N results from CMIP5; Roy uses the former, which does avoid sea-ice complications. Like Roy, I have normalised so that the 1979-1983 average of all series are zero. For the trends, I have used an AR(1) model, since the residuals are clearly highly autocorrelated. HADSST3 is from here and NOAA SST from here. The multi-model means are as supplied by KNMI. There are a couple of things to unpack here

• The correct CMIP5 set to compare is TOS 90S-90N, and that is quite close to HADSST3; the trend is 0.14°C/decade, vs 0.135 for HADSST3, with the difference much smaller than the σ's. NOAA SST is lower, but still well within the CI range.
• TAS, as used by Roy for CMIP6, is substantially higher at 0.197°C/dec. However, Roy used the latitude range 60S-60N, for which TOS and TAS are closer.

So CMIP5 matched observed SST very well in this time range.

CMIP6 TAS data limitations

As said, posting of CMIP6 results is at a very early stage. For each scenario of TAS there are 68 simulations, but 50 are from the model CanESM5. In the following plot, analogous to Roy's above, I have shown the ssp585 Can results in faint blue, with other CMIP6 TAS (ocean 60S-60N) results in red. I have shown HADSST3 and NOAA SST for comparison.



Removing CaanESM5 does not change the profile very much, but does radically change the multi-model mean (not shown). But again, these are TAS results, and in CMIP5, there was a 0.022°C/decade trend differential for TOS. If that is subtracted here, we get



It is now clear that the observed results are well within the model range, being only a little below average.

Conclusion

The difference between modelled and observed is far less than Roy Spencer claims. For CMIP5, using the right model variable TOS, there is very little difference. And adjusting for the TOS-TAS difference in CMIP6, and being wary of the excessive weight given to one model, the observed SST is well within the model range.

GISS March global up by 0.22°C from February.

The GISS V4 land/ocean temperature anomaly was 0.88°C in March 2021, up from 0.66°C in February. This increase is similar to the 0.252°C increase reported for TempLS. Jim Hansen's report is here.

As usual here, I will compare the GISS and earlier TempLS plots below the jump.

March global surface TempLS up 0.252°C.

The TempLS mesh anomaly (1961-90 base) was 0.752deg;C in March, up from 0.5°C in February. That not only makes up for the steep drop going into February; it leaves March considerably warmer than Dec or Jan, getting back to the warmth of 2020. The NCEP/NCAR reanalysis also bounced back, but only to about January levels.

There were two prominent warm spots, in Canada/N US, where Feb was very cold, and in E Siberia/N China. N Europe was quite warm. The ENSO region seems to be fairly neutral.

Here is the temperature map, using the LOESS-based map of anomalies.


As always, the 3D globe map gives better detail.