Has the rate of surface warming changed? 16 years revisited
Posted on 21 May 2013 by Kevin C
Climate scientists have traditionally looked at climate over long periods - 30 years or more. However the media obsession with short term trends has focussed attention on the past 15-16 years. Short term trends are much more complex because they can be affected by many factors which cancel out over longer periods. In a recent interview James Hansen noted "If you look over a 30-40 year period the expected warming is two-tenths of a degree per decade, but that doesn't mean each decade is going to warm two-tenths of a degree: there is too much natural variability".
Over the winter vacation we produced a video which tried to explain the contributions to the recent temperature trend based on the best evidence available at the time, however the rapid pace of development in this area has thrown significant doubt on the conclusions. While the video has significant educational content, the conclusions do not reflect a scientific consensus, so we will be withdrawing it and will work on an updated version.
The video was based on an approach pioneered by Lean and Rind (2008) and Foster and Rahmstorf (2011), by determining the contribution of known influences on global temperature to best explain those temperatures. However this approach can give misleading results if significant influences on temperature are missing from the analysis, or if wrong influences are included. Therefore we need a comprehensive list of possible factors which might affect the short term trend. Based on the latest literature, the following should be considered:
Natural influences (included in the 16 years video):
- Volcanic eruptions. The recovery from the Pinatubo eruption is responsible for a short term warming, although in the video the effect is small.
- The solar cycle. The current low solar activity produces a small cooling effect.
- The El Nino oscillation. The recent run of La Niñas produces a moderate cooling effect.
Observational biases (not included in the video):
- Coverage bias. The HadCRUT4 and NOAA temperature records don’t cover the whole planet. Omitting the Arctic in particular produces a cool bias in recent temperatures. (e.g. Hansen et al 2006, Folland et al 2013). The video avoided this problem by using GISTEMP. However the issue affects the Foster and Rahmstorf analysis of the other records.
- Sea surface temperature bias. The GISTEMP and NOAA temperature records don’t include corrections for the transition from warm-biased engine room measurements to buoy measurements over the past 15 years. This produces a cool bias in recent temperature trends, although this result is based on only one study (Kennedy et al 2012).
Other short term influences (i.e. things we are trying to detect):
- Changes in ocean heat uptake. A number of recent papers have found evidence that heat has been going into the oceans rather than the atmosphere recently, see in particular Balmaseda et al (2013), Guemas et al (2013), Nuccitelli et al (2012) and Levitus et al (2012).
- An increase in cooling particles in the atmosphere. While we can assume a near-linear short-term response to long lived greenhouse gasses such as CO2, short-lived atmospheric constituents can violate this assumption. Chinese aerosol emissions have varied significantly over the past 16 years (Klimont et al 2013), however Murphy (2013) suggests the impact has been limited. Neely et al (2013) find a significant cooling contribution from volcanoes.
There may also be contributions from long term ocean cycles such as the AMO and PDO. Any of these factors may contribute to a slowdown in surface warming over the past 16 years.
Here is the problem: We have too many explanations for a recent slowdown, If all of these influences are present, we should probably have seen significant cooling over the past 16 years. And yet if the simple fitting calculation is correct, there has been little or no change in the underlying rate of warming.
How is this discrepancy to be resolved? On the basis of analysis by Troy Masters (part 1, part 2), I believe that the most significant problem lies in fitting the volcanic response. While the magnitude of the volcanic response is fairly well estimated, its duration is not. Changes in the duration of the response translate to a big change in the adjusted trend since 1997. The following animation shows the problem:
If the Pinatubo cooling is long lived then some of the recent warming is due to a recovery from that cooling, leaving less to be explained by greenhouse warming. Or conversely, if there has been a slowdown in warming, the simple fit would account for it by demanding a short Pinatubo response.
What does the literature say about the Pinatubo response? There are papers supporting both a long response (and thus a reduction in the adjusted temperature trend) and a short response (and thus no reduction in trend). Here are a sampling:
|Short Pinatubo Response||Long Pinatubo Response|
|Parker et al 1996||Soden et al 2002|
|Lean & Rind 2008||Bender et al 2010|
|Foster & Rahmstorf 2011||Hansen et al 2011|
|Folland et al 2013||Rypdal 2012|
|Merlis et al|
|Survey by Troy Masters|
The volcanic temperature response from the video is compared to three different estimates from the table above in Figure 2:
Hansen et al (2011) produces the strongest volcanic contribution to recent trends. The impact of this difference can be seen in the adjusted trends since 1997, and the contributions of the various influences.
The Hansen paper is an extreme case, combining a strong volcanic forcing with a model with high sensitivity, and so probably provides an upper bound for the volcanic influence on temperature. That effect is however substantial, more than cancelling the effect of the El Niño and solar influences, and producing an adjusted trend which is less than the observed trend.
Where does this leave us? In order to reliably interpret surface temperature variations we need a good idea of all the causal factors, including El Niño, solar irradiance, volcanic eruptions, observational biases, changes in ocean circulation and possible long term oscillations. Fitting the surface temperature record is attractive because surface temperatures are easy to understand, and the calculations are easily reproducible by non-specialists. However it may be that the surface temperature record is simply too complex to analyse in this way. The more direct measure of global warming provided by measuring the energy content of the climate system avoids many of these problems, although the observational record is shorter and less complete (e.g. Church et al 2011).
There will undoubtably be new developments in the measurement and attribution of short term trends over the coming months, and we will report new results as they are released. The '16 years' video still contains useful material for showing how natural influences impact global temperatures and so we aim to produce a new version in future. However the conclusions of the current video do not represent a consensus in the peer-reviewed results, and thus we will be withdrawing the current version.