Tracking the energy from global warming
Posted on 18 April 2010 by John Cook
The most striking feature of Climategate is how readily people assumed dark, sinister conspiracies from isolated email quotes without trying to understand the actual science being discussed. This is apparent in the "hide the decline" quote which many took (and continue to take) to mean a nefarious hiding of a decline in temperature. What it actually refered to was a decline in tree-ring growth that has been openly discussed in the peer-reviewed literature since 1995. Similarly, Trenberth's "travesty that we can't account for the lack of warming" was an issue openly discussed in the peer-reviewed literature (Trenberth 2009). The issue of Trenberth's missing heat is now further discussed in a new Science perspective by Trenberth and John Fasullo, "Tracking Earth's Energy".
The article examines the planet's energy imbalance. This can be measured by satellites which measure both the incoming sunlight and outgoing radiation. The absolute energy imbalance is too small to be measured directly. However, the satellite measurements are sufficiently stable from one year to the next so it's possible to track changes in the net radiation. What has been observed is an increasing energy imbalance.
Another way to calculate the energy imbalance is to add up all the heat accumulating in the various parts of our climate. This includes all the heat building in the oceans, warming of the land and atmosphere, melting of the Arctic sea ice, Greenland and Antarctic ice sheets and glaciers. There is fairly good agreement between the satellite imbalance and total heat content leading up to 2005. However after 2005, there is a discrepancy between the two metrics. A divergence problem, if you will.
Figure 1: Estimated rates of change of global energy. The curves are heavily smoothed. From 1992 to 2003, the decadal ocean heat content changes (blue), along with the contributions from melting glaciers, ice sheets, and sea ice and small contributions from land and atmosphere warming, suggest a total warming (red) for the planet of 0.6 ± 0.2 W/m2 (95% error bars). After 2000, observations from the top of the atmosphere ( 9) (black, referenced to the 2000 values) increasingly diverge from the observed total warming (red).
Figure 1 has many interesting features. The blue area shows the rate of ocean warming. Note that when it falls after 2005, this doesn't mean the ocean is cooling but that the rate of warming slows. The red line is the total amount of net energy change. This means that all the energy going into the melting of sea ice, ice sheets and glaciers plus the warming of land and atmosphere is the tiny gap between the blue area and the red line. However, the most interesting feature of this graph is the divergence after 2005. From this point, the satellite data (black line) continues to show a growing energy imbalance. But the ocean seems to be accumulating less heat.
Why the discrepancy? Some of the heat seems to be going into melting the ice sheets in Greenland and Antarctica which are losing ice mass at an accelerating rate. However, this doesn't add up to anywhere near the measured energy difference. There are two possibilities. Either the satellite observations are incorrect or the heat is penetrating into regions that are not adequately measured. The satellite observations also agree with model results that expect a growing energy imbalance as CO2 levels increase. These model results have had quantitative confirmation in independent satellite measurements of outgoing infrared spectrum (Harries 2001, Griggs 2004, Chen 2007).
This would indicate the missing heat is the more likely option. If so, where has the missing heat gone? Is the ocean sequestering heat deep below where the ARGO buoys measure water temperature? I had my own Dunning-Kruger moment after reading this paper. My theory was we already had observational proof that the heat must be sequestered in the deep ocean waters. While measurements of ocean heat going down to 700 metres have showed declining heat accumulation, von Schuckmann 2009 shows that measurements of ocean heat going down to 2000 metres find the oceans have been steadily accumulating heat at 0.77 W/m2 from 2003 to 2008.
Figure 2: Time series of global mean heat storage (0–2000 m), measured in 108 Joules per square metre.
I emailed Kevin Trenberth, asking if von Schuckmann's result was evidence that the missing heat was being sequestered in deeper waters. Trenberth replied promptly (the guy is a class act), informing me that von Schuckmann's energy imbalance of 0.77 W/m2 was for the ocean only and when you average it out over the whole globe, it gives a net energy imbalance of 0.54 W/m2. This is still insufficient to meet up with the satellite data and there are unresolved issues with how von Schuckmann handles the deep water heating.
In fact, after reading Roger Pielke's blow-by-blow with Trenberth, I have to credit Trenberth for his patience - I wonder how many bloggers contact him each day, saying "Hey Kevin, you heard of this paper?!" or "Hey Kevin, did it ever occur to you that the heat is in the deep ocean?!" Hopefully, Trenberth won't get bothered too much by nagging bloggers such as myself and he can get on with the important work of better tracking the flow of energy through our climate.
- CERES Terra EBAF Edition 1A (3/2000 - 10/2005)
- CERES Terra ERBE-like ES4 Edition2_Rev1 (1/2003 - 8/2007)
- FLASHFlux Terra+Aqua (7/2006 - 9/2009)
They used overlap periods to remove mean difference between datasets and anchored the entire time series to the absolute values of the EBAF. Their (improved) result is seen on slide 21. At the moment we are only interested in the lower panel, the net TOA radiation balance. Unfortunately it is only a picture one can't do much with, other than staring at it. Therefore it had to be re-digitized: Net_TOA_Imbalance_Stackhouse_2009.txt. As accuracy of satellite radiative imbalance measurements is very low, the baseline is of course arbitrary. It is simply aligned to EBAF and has nothing to do with the actual imbalance. However, since precision is a bit better, we can still use it to track changes of this imbalance over time. To anchor the baseline to reality we need another data source (not considered by Stackhouse et al.) Fortunately we have quarterly data for the heat content anomaly of the upper 700 m of oceans since 1955 at the NOAA NODC Global Ocean Heat Content page. OHC (Ocean heat Content) anomaly is perfect for intercalibration purposes, because it is a linear function of the temporal integral of radiative imbalance at TOA. That is, the average slope of OHC in a time interval is indicative of average imbalance over the same period. For intercalibration we need several full years, because Stackhouse et al. only provides deseasonalized data while Levitus et al. of NODC include seasonal signal. It is best to use data from the ARGO period, because prior to that OHC is poorly and sparsely measured by diverse systems while ARGO provides a homogeneous and dense dataset. Now, before about mid-2003 ARGO coverage was not yet global, so we have to settle to the 6 years between 4. quarter 2003 and 3. quarter 2009. In this period (taking into account the error bars provided by NODC) slope of the OHC anomaly curve (for the upper 700 m) is -1.8±9.6×1020 J/year, which translates to an imbalance of -11±60 mW/m2. That is, in this period the climate system was probably losing heat, not gaining it, but the gain, in any case was more than an order of magnitude smaller than Trenberth's 850 mW/m2: "The TOA energy imbalance can probably be most accurately determined from climate models and is estimated to be 0.85 ± 0.15 W m-2". Therefore heat accumulation for this period can be considered zero well within error bounds. It is fortunate, because only a fraction of the net heat content anomaly is realized in the upper 700 m of oceans, the rest comes from or goes to elsewhere (deep ocean, land, ice sheets), although at least two third remains in the upper ocean. Average of Stackhouse's net TOA imbalance for the 72 months between October 2003 and September 2009 is 202 mW/m2, that is, their baseline is probably too high. If 213 mW/m2 is subtracted from each of their values, it brings net TOA radiative imbalance in line with OHC data. Now, that we have the correct offset for TOA imbalance, we can calculate heat accumulation for the entire timespan covered by Stackhouse's data. It looks like this: As you can see the story the data tell is somewhat different from the standard one. Heat content of the climate system is not increasing, but decreasing. What is more, the radiative imbalance at TOA during the satellite era is about -0.26 W/m2, which is, according to Trenberth, inconsistent with the 0.85±0.15 W/m2 determined from climate models. Furthermore, if we suppose about 2/3 of heat content changes are realized in the upper 700 m of oceans, it turns out satellite radiative imbalance measurements at TOA are also inconsistent with pre-ARGO OHC measurements. It probably means before about mid-2003 OHC data are absolutely bogus and unusable for model testing and calibration.[DB] Tamino has much to say about this specific topic here.
[DB] Firstly: Your comment was deleted due to being in conflict with this portion of the Comments Policy
It is noted that Tamino does not regualarly make an appearance at SkS. But since Tamino is his Internet nom de plume, honor that personal preference he has made. Your repeated usage of his personal name is thus interpreted as being an invasion of privacy. Please respect that in future comments.
Secondly, Tamino's post was referenced as a prime example of the lengths that some go to take OHC data out of context. A focus on recent expanded ARGO data without the context of historical data is also an example of that.
Lastly, if you feel that ARGO data is so suspect and unusable, then stand behind your position with the due diligence of publishing your analysis. There exist a number of publishing entities that would do so.
[DB] Fixed graphic. Tom, the GISS site uses a dynamic display; to ensure the graphic continues to be visible, post it to a static site and then link to it. For example, I saved the image to my HD, uploaded it to SkS and then used the SkS URL to fix your html tag. Clunky, but effective.
[DB] BTW, Tamino has a real nice post on 5-year trends; tangential to this discussion.