Guest post by Bob Tisdale
SAME INTRODUCTION AS ALWAYS
The National Oceanographic Data Center’s (NODC) Ocean Heat Content (OHC) anomaly data for the depths of 0-700 meters are available through the KNMI Climate Explorer Monthly observations webpage. The NODC OHC dataset is based on the Levitus et al (2009) paper “Global ocean heat content (1955-2008) in light of recent instrumentation problems”. Refer to Manuscript. It was revised in 2010 as noted in the October 18, 2010 post Update And Changes To NODC Ocean Heat Content Data. As described in the NODC’s explanation of ocean heat content (OHC) data changes, the changes result from “data additions and data quality control,” from a switch in base climatology, and from revised Expendable Bathythermograph (XBT) bias calculations.
The NODC provides its OHC anomaly data on a quarterly basis. At the NODC website it is available globally and for the ocean basins in terms of 10^22 Joules. The KNMI Climate Explorer presents the quarterly data on a monthly basis. That is, the value for a quarter is provided for each of the three months that make up the quarter, which is why the data in the following graphs appear to have quarterly steps. Furnishing the OHC data in a monthly format allows comparisons to monthly datasets. The data is also provided on a Gigajoules per square meter (GJ/m^2) basis through the KNMI Climate Explorer, which allows for direct comparisons of ocean basins, for example, without having to account for surface area.
This update includes the data through the quarter of October to December 2011.
Let’s start the post with a couple of looks at the ARGO-era OHC anomalies.
ARGO-ERA OCEAN HEAT CONTENT MODEL-DATA COMPARISON
I’ve started the post with a graph that gets people riled up for some reason.
Figure 1 compares the ARGO-era Ocean Heat Content observations to an extension of the linear trend of the climate models presented in Hansen et al (2005) for the period of 1993 to 2003. Over that period, the modeled OHC rose at 0.6 watt-years per year. I’ve converted the watt-years to Gigajoules using the conversion factor readily available through Google: 1 watt years = 31,556,926 joules. Even with the recent uptick in Global Ocean Heat Content anomalies, the trend of the GISS projection is still 3.5 times higher than the observed trend.
Figure 1
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STANDARD DISCUSSION ABOUT ARGO-ERA MODEL-DATA COMPARISON
Many of you will recall the discussions generated by the simple short-term comparison graph of the GISS climate model projection for global OHC versus the actual observations, which are comparatively flat. The graph is solely intended to show that since 2003 global ocean heat content (OHC) anomalies have not risen as fast as a GISS climate model projection. Tamino, after seeing the short-term model-data comparison graph in a few posts, wrote the unjustified Favorite Denier Tricks, or How to Hide the Incline. I responded with On Tamino’s Post “Favorite Denier Tricks Or How To Hide The Incline”. And Lucia Liljegren joined the discussion with her post Ocean Heat Content Kerfuffle. Much of Tamino’s post had to do with my zeroing the model-mean trend and OHC data in 2003.
While preparing the post GISS OHC Model Trends: One Question Answered, Another Uncovered, I reread the paper that presented the GISS Ocean Heat Content model: Hansen et al (2005), “Earth’s energy imbalance: Confirmation and implications”.Hansen et al (2005) provided a model-data comparison graph to show how well the model matched the OHC data. Figure 2 in this post is Figure 2 from that paper. As shown, they limited the years to 1993 to 2003 even though the NODC OHC data starts in 1955. Hansen et al (2005) chose 1993 as the start year for three reasons. First, they didn’t want to show how poorly the models hindcasted the early version of the NODC OHC data in the 1970s and 1980s. The models could not recreate the hump that existed in the early version of the OHC data. Second, at that time, the OHC sampling was best over the period of 1993 to 2003. Third, there were no large volcanic eruptions to perturb the data. But what struck me was how Hansen et al (2005) presented the data in their time-series graph. They appear to have zeroed the model ensemble mean and the observations at 1993.5. The very obvious reason they zeroed the data then was so to show how well OHC models matched the data from 1993 to 2003.
Figure 2
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The ARGO-era model-data comparison graph in this post, Figure 1, is also zeroed at a start year, 2003, but I’ve done that to show how poorly the models now match the data. I’m not sure why my zeroing the data in 2003 is so difficult for some people to accept. Hansen et al (2005) zeroed at 1993 to show how well the models recreated the rise in OHC from 1993 to 2003, but some bloggers attempt to criticize my graphs when I zero the data in 2003 to show how poorly the models match the data after that. The reality is, the flattening of the Global OHC anomaly data was not anticipated by those who created the models. This of course raises many questions, one of which is, if the models did not predict the flattening of the OHC data in recent years, much of which is based on the drop in North Atlantic OHC, did the models hindcast the rise properly from 1955 to 2003? Apparently not. This was discussed further in the post Why Are OHC Observations (0-700m) Diverging From GISS Projections?
HOW LONG UNTIL THE MODELS ARE SAID TO HAVE FAILED? (STANDARD DISCUSSION)
I asked the question in Figure 1, If The Observations Continue To Diverge From The Model Projection, How Many Years Are Required Until The Model Can Be Said To Have Failed? I raised a similar question in the post 2nd Quarter 2011 NODC Global OHC Anomalies, and in the WattsUpWithThat cross post Global Ocean Heat Content Is Still Flat, a blogger stated, in effect, that 8 ½ years was not long enough to reject the models.If we scroll up to Figure 2 [Figure 2 from Hansen et al (2005)], we can see that Hansen et al (2005) used only 11 years to confirm their Model E hindcast was a good match for the Global Ocean Heat Content anomaly observations. Can we then assume that the same length of time will be long enough to say the model has failed during the ARGO era?
And as noted in a number of recent OHC updates, it’s really a moot point. Hansen et al (2005) shows that the model mean has little-to-no basis in reality. They describe their Figure 3 (provided here as my Figure 3 in modified form) as:
“Figure 3 compares the latitude-depth profile of the observed ocean heat content change with the five climate model runs and the mean of the five runs. There is a large variability among the model runs, revealing the chaotic ‘ocean weather’ fluctuations that occur on such a time scale. This variability is even more apparent in maps of change in ocean heat content (fig. S2). Yet the model runs contain essential features of observations, with deep penetration of heat anomalies at middle to high latitudes and shallower anomalies in the tropics.”
I’ve deleted the illustrations of the individual model runs in my Figure 3 for an easier visual comparison of the graphics of the observations and the model mean. I see no similarities between the two. None.
Figure 3
BASIN TREND COMPARISONS
Figures 4 and 5 compare OHC anomaly trends for the ocean basins, with the Atlantic and Pacific Ocean also divided by hemisphere. Figure 4 shows the ARGO-era data, starting in 2003, and Figure 5 covers the full term of the dataset, 1955 to present. The basin with the greatest short-term ARGO-era trend is the Indian Ocean, but it has a long-term trend that isn’t exceptional. (The green Indian Ocean trend line is hidden by the dark blue Arctic Ocean trend line in Figure 5.)
STANDARD NOTE ABOUT THE NORTH ATLANTIC: The basin with the greatest rise since 1955 is the North Atlantic, but it also has the largest drop during the ARGO-era. Much of the long-term rise and the short-term flattening in Global OHC are caused by the North Atlantic. If the additional long-term rise and the recent short-term decline in the North Atlantic OHC are functions of additional multidecadal variability similar to the Atlantic Multidecadal Oscillation, how long will the recent flattening of the Global OHC persist? A couple of decades?
Note also in the ARGO-era graph, Figure 4, that, in addition to the North Atlantic, there are three other ocean basins where Ocean Heat Content has dropped during the ARGO era: the North Pacific, South Pacific, and Arctic Oceans. We could assume the Arctic data is, in part, responding to the drop in the North Atlantic. But that still leaves the declines in the North and South Pacific unexplained.
Figure 4
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Figure 5
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Further discussions of the North Atlantic OHC anomaly data refer to North Atlantic Ocean Heat Content (0-700 Meters) Is Governed By Natural Variables. And if you’re investigating the impacts of natural variables on OHC anomalies, also consider North Pacific Ocean Heat Content Shift In The Late 1980s and ENSO Dominates NODC Ocean Heat Content (0-700 Meters) Data.
GLOBAL
The Global OHC data through December 2011 is shown in Figure 6. Even with the recent correction and uptick in the two quarters of this year, Global Ocean Heat Content continues to be remarkably flat since 2003, especially when one considers the magnitude of the rise that took place during the 1980s and 1990s.
Figure 6
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TROPICAL PACIFIC
Figure 7 illustrates the Tropical Pacific OHC anomalies (24S-24N, 120E-90W). The major variations in tropical Pacific OHC are related to the El Niño-Southern Oscillation (ENSO). Tropical Pacific OHC drops during El Niño events and rises during La Niña events. As discussed in the updates since late last year, the Tropical Pacific has not as of yet rebounded as one would have expected during the 2010/11 and 2011/12 La Niña events. In other words, the 2010/11 and 2011/12 La Niña events have done little to recharge the heat discharged during the 2009/10 El Nino.
Figure 7
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For more information on the effects of ENSO on global Ocean Heat Content, refer to ENSO Dominates NODC Ocean Heat Content (0-700 Meters) Data and to the animations in ARGO-Era NODC Ocean Heat Content Data (0-700 Meters) Through December 2010.
THE HEMISPHERES AND THE OCEAN BASINS
The following graphs illustrate the long-term NODC OHC anomalies for the Northern and Southern Hemispheres and for the individual ocean basins.
(8) Northern Hemisphere
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(9) Southern Hemisphere
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(10) North Atlantic (0 to 70N, 80W to 0)
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(11) South Atlantic (0 to 60S, 70W to 20E)
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(12) North Pacific (0 to 65N, 100 to 270E, where 270E=90W)
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(13) South Pacific (0 to 60S, 120E to 290E, where 290E=70W)
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(14) Indian (60S-30N, 20E-120E)
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(15) Arctic Ocean (65 to 90N)
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(16) Southern Ocean (60 to 90S)
HHHHHHHHHHHHHHHHHHHHHHHHHHHHHH
ABOUT: Bob Tisdale – Climate Observations
SOURCE
All data used in this post is available through the KNMI Climate Explorer:
http://climexp.knmi.nl/selectfield_obs.cgi?someone@somewhere
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Bob, in your rebuttal: “I zeroed the data for my graph in 2003, which is the end year of the Hansen et al (2005) graph, to show how poorly the model projection matched the data during the ARGO-era, from 2003 to present.”
So why not zero it to start where Hansen left off? Why have a gap? And doesn’t it seem odd that moving less than a year back completely changes the trend?
Maybe that’s a clue to the answer to your question “how many more years are required” to say that the models have “failed”. If one year changes the trend that much, I’d say “many more years”.
Utahn says:
January 28, 2012 at 9:15 am
Bob …
Maybe that’s a clue to the answer to your question “how many more years are required” to say that the models have “failed”. If one year changes the trend that much, I’d say “many more years”.
Enough years for the AGW “team” to pay off their mortgages and reach their pensions. Although I guess Hansen should have crossed the finish line already.
Figure 8 and figure 9 show that from about 2005 we have an apparent sharp inter-hemisphere “see-sawing” with a strong uptick in NH OCH and corresponding downturn in the SH. OK its only 6 years so only suggestive. But perhaps worth remembering that Tzedakis et al 2012 recently identified NH-SH “see-sawing” in ice extent as an instability leading to the end of the interglacial 780,000 years ago (Marine Isotope sub-Stage 19c) a close analogue for the present interglacial. We should watch for a continuation of such a trend.
P. C. Tzedakis, J. E. T. Channell, D. A. Hodell, H. F. Kleiven & L. C. Skinner
Nature Geoscience (2012) doi:10.1038/ngeo1358
The current orbital configuration is characterized by a weak minimum in summer insolation. Past interglacials can be used to draw analogies with the present, provided their duration is known. Here we propose that the minimum age of a glacial inception is constrained by the onset of bipolar – seesaw climate variability, which requires ice-sheets large enough to produce iceberg discharges that disrupt the ocean circulation. We identify the bipolar seesaw in ice-core and North Atlantic marine records by the appearance of a distinct phasing of interhemispheric climate and hydrographic changes and ice-rafted debris. The glacial inception during Marine Isotope sub-Stage 19c, a close analogue for the present interglacial, occurred near the summer insolation minimum, suggesting that the interglacial was not prolonged by subdued radiative forcing7. Assuming that ice growth mainly responds to insolation forcing, this analogy suggests that the end of the current interglacial would occur within the next 1500 years.
[slightly edited for clarity].
These are three quite different things:
1. The starting point for a physical model (e.g., Hansen’s). If that point is unusually high or low, but the physics are any good, the model itself should correct to more reasonable values as it runs forward.
2. The y intercept in a regression. That usually is not the starting point of the data, and the trend may well be unrealistic if you force it to be. Creating an unrealistic regression line was Tisdale’s intention here, but it’s created by his own confusion not something Hansen got wrong. No wonder folks elsewhere are laughing at him, again.
3. Anomalies. Shifting the baseline for anomalies can be done for many reasons but should have no effect on how steep either a physical or statistical model trend is. The line should be at an appropriate height as long as the model knows about the new baseline too.
Tisdale’s idea of “zeroing” here manages to confuse his own approach that does not make sense (2) with two other things that make sense in different contexts (1) or (3).
Utahn says: “So why not zero it to start where Hansen left off? Why have a gap? And doesn’t it seem odd that moving less than a year back completely changes the trend?”
Utahn, the text for Figure 2 in Hansen et al (2005) reads, “Ocean heat content change between 1993 and 2003…” They ended their data in 2003, which is the start year of my graph. So I did “start where Hansen left off”. There is no gap. The change in trend with one year of data added to either end is to be expected for a short-term climate-related dataset.
“They ended their data in 2003, which is the start year of my graph. So I did ‘start where Hansen left off’. There is no gap. ”
So your first datapoint was Hansen’s last? Otherwise there’s a gap…
“The change in trend with one year of data added to either end is to be expected for a short-term climate-related dataset.”
Well I’m glad you seem to agree it’s silly to imply the models could be “falsified” anytime soon.
I’ve read your rationale, Bob, but you haven’t answered my question. Let me put it another way.
The best way to test Hansen’s trend prediction is to simply extend it beyond 2003 in an unbroken line, like this.
1. Do you agree?
if not,
2. Why?
Barry, would you object to the use of all of a new (and vastly more accurate) data set if it didn’t also inconveniently give you the “wrong” answer? 😉
Will, ARGO didn’t start in 2003, Tisdale did…
Utahn says: “Will, ARGO didn’t start in 2003, Tisdale did”
We’ve already been through this. Refer to the post from last March. It’s linked in the body of the post, but here’s the link again:
http://bobtisdale.wordpress.com/2011/05/13/on-taminos-post-favorite-denier-tricks-or-how-to-hide-the-incline/
barry says: “I’ve read your rationale, Bob, but you haven’t answered my question. Let me put it another way.”
I replied to your comment at my blog, where you also posted it:
http://bobtisdale.wordpress.com/2012/01/28/tamino-once-again-misleads-his-followers/#comment-3407