Why does Ocean Heat Content diverge from GISS projections?

Guest Post by Bob Tisdale:

Why Are OHC Observations (0-700m) Diverging From GISS Projections?

INTRODUCTION

My post “NODC Corrections to Ocean Heat Content (0-700m) Part 2” illustrated the divergence between observed Global Ocean Heat Content (OHC) and the GISS projected rise. Figure 1 shows that GISS models projected a rise of 0.98*10^22 Joules per year, but, since 2003, global OHC has only been rising at 0.079*10^22 Joules per year. How could there be such a significant difference between the projection and the observed OHC data?

http://i36.tinypic.com/5dscxg.png

Figure 1

GISS FAILS TO MODEL ENSO

Roger Pielke Sr discussed the disagreement between the GISS OHC projections and observations in his February 9, 2009 post ‘Update On A Comparison Of Upper Ocean Heat Content Changes With The GISS Model Predictions’. There he refers to a communication from James Hansen of GISS, a response to Pielke Sr and Christy, in which Mr. Hansen offers the GISS OHC projection. Refer to the linked response from Hansen here:

http://www.climatesci.org/publications/pdf/1116592Hansen.pdf

NOTE: In his response to Pielke Sr and Christy, Hansen writes, “Contrary to the claim of Pielke and Christy, our simulated ocean heat storage (Hansen et al., 2005) agrees closely with the observational analysis of Willis et al. (2004). All matters raised by Pielke and Christy were considered in our analysis and none of them alters our conclusions.” The Hansen et al (2005) paper is “Earth’s energy imbalance: Confirmation and implications.“ And the Willis et al (2004) paper is “Interannual Variability in Upper Ocean Heat Content, Temperature, and Thermosteric Expansion on Global Scales.” Link to abstract:

http://www.agu.org/pubs/crossref/2004/2003JC002260.shtml

Back to the topic of this post…

In his response to Pielke Sr and Christy, Hansen acknowledges that GISS does not account for ENSO in its models. He writes, “We note the absence of ENSO variability in our coarse resolution ocean model and Willis et al. note that a 10-year change in the tropics is badly aliased by ENSO variability.”

What Mr. Hansen fails to acknowledge is that ENSO also has significant impacts outside of the tropics.

SIGNIFICANT TRADITIONAL ENSO EVENTS CAUSE UPWARD STEP CHANGES IN OHC OF OCEAN BASINS

In my post “ENSO Dominates NODC Ocean Heat Content (0-700 Meters) Data”, I illustrated the upward step changes in OHC anomalies caused by significant traditional ENSO events such as those in 1972/73 and in 1997/98. This was done through simple comparison graphs of NINO3.4 SST anomalies, Sato Index data to illustrate the timing of explosive volcanic eruptions, and NODC (Levitus et al 2009) OHC anomaly data for individual ocean basins. Figures 2 through 4 are examples. In them, I’ve also highlighted the period GISS elected to model. Hansen explains the selection of those years in the response to Pielke and Christy linked above, “Our analysis focused on the past decade because: (1) this is the period when it was predicted that, in the absence of a large volcanic eruption, the increasing greenhouse effect would cause the planetary energy imbalance and ocean heat storage to rise above the level of natural variability (Hansen et al., 1997), and (2) improved ocean temperature measurements and precise satellite altimetry yield an uncertainty in the ocean heat storage, ~15% of the observed value, smaller than that of earlier times when unsampled regions of the ocean created larger uncertainty.”

But examination of the data illustrates variations that are caused primarily by natural variation, and much of these variations are apparent responses to ENSO, a variable that GISS does not model.

Figure 2 illustrates the monthly Tropical Indian and Pacific Ocean OHC anomaly data from January 1955 to June 2009. Note how the Tropical Indian and Pacific Ocean OHC anomaly data declines from the early-to-mid 1960s to 1973, then rises during the extended La Nina of 1973/74/75/76. And even though greenhouse gases (not illustrated) are rising from the late 1970s to 1999, there is a gradual decline in Tropical Indian and Pacific Ocean OHC anomalies. Some of this decline may be caused by the eruptions of El Chichon in 1982 and Mount Pinatubo in 1991, but their impacts are difficult to determine with the ENSO-related variability of the data. Then in 1998, Tropical Indian and Pacific Ocean OHC anomalies rise again during the multiyear La Nina that followed the significant 1997/98 El Nino. So regardless of the impacts of the El Chichon and Mount Pinatubo eruptions, the largest rises in OHC occurred during the two multiyear La Nina events associated with the El Nino events of 1972/73 and 1997/98. Also note that the period GISS elected to model captures one of these natural ENSO-induced upward step changes.

http://i35.tinypic.com/2j5tl4.png

Figure 2

Figure 3 illustrates the long-term OHC anomaly data for the South Pacific. The South Pacific OHC anomalies oscillate at or near 0 GJ/sq meter from 1971 to 1996 even though greenhouse gas emissions are increasing. The dip between the late 1960s and 1970 could be related to the volcanic eruption in 1963. If so, then the period of relatively flat OHC anomalies could be extended further back in time. What is certain is that there was a shift in South Pacific OHC anomalies, an upward step, in response to the 1997/98 El Nino. This happened, of course, during the period modeled by GISS.

http://i36.tinypic.com/2us7kvn.png

Figure 3

Like the Tropical Indian and Pacific Ocean OHC anomalies, the South Indian Ocean OHC anomalies decrease until the early 1970s, then rise in two steps in response to the La Nina events associated with the El Nino events of 1972/73 and 1997/98. Note the response of the South Indian Ocean OHC anomalies to the 1991 Mount Pinatubo eruption. Without that decline, the South Indian Ocean OHC anomalies are relatively flat though greenhouses gases are rising, similar to the South Pacific OHC data. And once more, the period GISS modeled captures the ENSO-induced rise associated with the 1997/98 El Nino.

http://i37.tinypic.com/2aetled.png

Figure 4

BUT ENSO RELEASES HEAT FROM THE TROPICAL PACIFIC

If ENSO events release heat from the tropical Pacific to the atmosphere, how then could they cause upward step changes in the OHC of other ocean basins?

During El Nino events, warm waters in the Pacific Warm Pool shift eastward to release heat that has been stored since the last La Nina event. Some of this warm water returns to the Pacific Warm Pool during the subsequent La Nina; some of it is transported to nearby ocean basins. This transport of warm water causes the OHC in those nearby oceans to rise. ENSO events also cause changes in Hadley and Walker circulation, changes in wind stress, and changes in cloud cover outside of the tropical Pacific. GCMs that do not model ENSO cannot account for these changes and cannot estimate their impacts on SST and OHC.

NORTH ATLANTIC OHC IS ALSO GOVERNED BY NATURAL VARIABLES

Over the past 50+ years, North Atlantic OHC anomalies rose at a rate that almost tripled the rise in global OHC anomalies. Refer to Figure 5. I discussed and illustrated the natural factors that impact the long-term North Atlantic OHC anomaly trends in the post “North Atlantic Ocean Heat Content (0-700 Meters) Is Governed By Natural Variables”. These natural variables include ENSO, the North Atlantic Oscillation (NAO), and Atlantic Meridional Overturning Circulation (AMOC). Unfortunately, the NODC OHC data only extends back to 1955. It is therefore impossible to determine how much of the excessive rise in the North Atlantic is related to AMOC.

http://i37.tinypic.com/34fche9.png

Figure 5

The Tropical North Atlantic OHC anomalies, Figure 6, show responses to ENSO events that are similar to the Tropical Indian and Pacific Ocean OHC data, Figure 2, except the tropical North Atlantic variations are imposed on what appears to be an AMOC-related positive trend. The period modeled by GISS included the response of the Tropical North Atlantic OHC anomalies to the 1997/98 El Nino.

http://i37.tinypic.com/292mwsy.png

Figure 6

Also discussed and illustrated in my post “North Atlantic Ocean Heat Content (0-700 Meters) Is Governed By Natural Variables”, Lozier et al (2008) in “The Spatial Pattern and Mechanisms of Heat-Content Change in the North Atlantic” identifies the North Atlantic Oscillation as the driver of decadal OHC variability in the high latitudes of the North Atlantic. Link:

http://www.sciencemag.org/cgi/content/abstract/319/5864/800?rss=1

The decadal variations in the NAO (inverted and scaled) do appear to agree with the High-Latitude North Atlantic OHC anomalies, Figure 7, until the aftermath of the 1997/98 El Nino. Note again that the period that GISS elected to model captures this NAO-related rise in High-Latitude North Atlantic OHC anomalies. Did the GISS model include the NAO in its analysis of OHC? I can find no mention of it in Hansen et al (2005) “Earth’s energy imbalance: Confirmation and implications.“

http://i38.tinypic.com/2rdf3ao.png

Figure 7

It appears that the North Atlantic OHC anomalies peaked in 2005. Are they on a multidecadal decline now? If the North Atlantic OHC is, in fact, governed by the same processes that cause the multidecadal variations in North Atlantic SST anomalies known as the Atlantic Multidecadal Oscillation (AMO), this would have a major impact on the GISS projections. Did GISS include this natural variability in its model? I can find no reference to it in Hansen et al (2005) “Earth’s energy imbalance: Confirmation and implications.“

IN SUMMARY

It appears the reason OHC observations are diverging from the GISS projection is GISS failed to recognize the impact of natural variables such as AMOC, the NAO, and ENSO on OHC. GISS assumed the rise in OHC from 1993 to 2003 was caused by anthropogenic forcings, when, in fact, there is little evidence to support this in the OHC data of the individual ocean basins. In order for OHC anomalies to rise in agreement with the GISS projection, there would have had to have been another significant traditional El Nino followed by a multiyear La Nina, and there would have had to have been another shift in the NAO, and there would have had to have been a continued rise in North Atlantic OHC anomalies. Unfortunately for GISS (and for the IPCC who relies on GCMs that fail to model natural variables properly), these natural variables have not cooperated.

A CLOSING NOTE ABOUT THE IMPACTS OF ANTHROPOGENIC GREENHOUSE GASES ON OHC

I was once asked by a blogger at another website, “What is the source of the energy necessary to raise SSTs?” I have revised my response to include OHC.

The ultimate source of energy necessary to raise SSTs would be an increase in solar irradiance, regardless of whether the increase in solar irradiance resulted from variations in the solar cycle, or from changes in cloud cover, or from a reduction in stratospheric volcanic aerosols. The impact of shortwave radiation (visible light) on SST depends on factors such as the turbidity of the water and sea surface albedo, which in turn depend on other variables including wind speed and chlorophyll concentration. Downwelling shortwave radiation reaches ocean depths of a few hundred meters. Therefore, changes in downwelling shortwave radiation would have a significant impact on OHC.

An increase in downward longwave (infrared) radiation caused by anthropogenic greenhouse gas emissions, on the other hand, can only warm the top few centimeters of the oceans. So an increase in downward longwave (infrared) radiation only warms the top few centimeters while downwelling shortwave radiation (visible light) warms the top few hundred meters.

However, it has been argued by AGW proponents that through mixing caused by waves and wind stress turbulence, the downward longwave (infrared) radiation would warm the mixed layer of the ocean. This in turn would affect the temperature gradient between the mixed layer and skin, dampening the outward flow of heat from the ocean to the atmosphere. The end result: OHC would rise due to an increase in downward longwave (infrared) radiation caused by increases in greenhouse gas emissions.

The OHC data illustrated in this post provide little support for the argument that downward longwave (infrared) radiation causes OHC to rise. OHC anomalies for the Tropical Indian and Pacific Oceans and for the South Indian and South Pacific Oceans show little upward trend from the early 1970s to the late 1990s. The only significant rises in OHC for those datasets occur in response to significant traditional ENSO events.

To emphasize this, the North Pacific OHC anomaly graph, Figure 8, illustrates a long-term decline in OHC from the late 1950s to the late 1980s, followed by a sudden upward shift. This long-term decline does not appear to be consistent with arguments that accelerating greenhouse gas emissions cause OHC to rise. The upward shift in the late 1980s appears to be associated with the 1986/87/88 El Nino. This El Nino is one of the two El Nino events since 1976 that caused upward step changes in SST anomalies of the East Indian and West Pacific Oceans and in the TLT anomalies of the Mid-To-High Latitudes of the Northern Hemisphere–the second being the 1997/98 El Nino. Why did the 1986/87/88 ENSO event cause the upward step in North Pacific OHC anomalies? Or was it caused by a shift in some other natural variable?

http://i35.tinypic.com/2czvw5l.png

Figure 8

As illustrated in this post, the impacts of natural variables such as ENSO, NAO, and AMOC dominate short-term and long-term OHC variability. ENSO events also cause upward step changes in SST and TLT anomalies, as noted above. These impacts on SST and TLT anomalies were discussed and illustrated in my posts:

1.Can El Nino Events Explain All of the Global Warming Since 1976? – Part 1

2.Can El Nino Events Explain All of the Global Warming Since 1976? – Part 2

3.RSS MSU TLT Time-Latitude Plots…Show Climate Responses That Cannot Be Easily Illustrated With Time-Series Graphs Alone

If and when GCMs like those used by GISS, and in turn by the IPCC, are capable of reproducing ENSO events and their multiyear aftereffects on SST, TLT, and OHC anomalies, they may be capable of determining “Earth’s energy imbalance: Confirmation and implications.“ At present, they are not.

SOURCES

The NINO3.4 SST anomaly data is based on HADISST data available through the KNMI Climate Explorer. The NODC OHC data is also available through Climate Explorer:

http://climexp.knmi.nl/selectfield_obs.cgi?someone@somewhere

Sato Index data is available through GISS:

http://data.giss.nasa.gov/modelforce/strataer/

Specifically:

http://data.giss.nasa.gov/modelforce/strataer/tau_line.txt

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Invariant
October 24, 2009 10:38 am

> So an increase in downward longwave (infrared) radiation only warms the top few centimeters while downwelling shortwave radiation (visible light) warms the top few hundred meters.
Adding that the thermal mass of the oceans is ~720 times larger than the thermal mass for the air, we may conclude that varying CO2 cannot impact the heat content in our world significantly but varying cloud cover can.

DJ Meredith
October 24, 2009 10:58 am

To what degree is OHC influenced by hydrothermal systems, and other mechanisms of heat transport in the oceanic crust? It would appear that there is no consideration of that in this or any other discussions I’ve read on OHC. Looks like a huge unknown to me.

John Galt
October 24, 2009 11:21 am

Why do observations diverge from projections? Because the people making the projections really don’t know how the system works.
Whenever your observations do not match your expectations, it is a sure sign that your hypothesis is wrong. The scientific method hasn’t changed, it’s just being ignored by people with an agenda other than learning the truth.
Now lots of experiments don’t outcomes that don’t match the expected results. This tells the scientists involved how the world does not work. Science is advanced a much from failure as success. GISS needs to admit their errors and go back to the drawing board.

Denny
October 24, 2009 11:48 am

John Galt (11:21:09) : Kudo’s to you John! Well spoken for this “is” the problem in the Climate Science field…”All” input, research is not included..more and more is arriving each week…and alot of it is conterdicting AGW! For what I’ve learned on AGW, I cannot and would not “trust” their results…And you wonder “why” the polls are seeing decline in Belief of AGW…It’s not to late for Science to get together and “hash” these findings out and to make sure they are “creditable”. To keep the Politicians out and make sure the Journalists tell “both” sides to the story…

Lennart Bilén
October 24, 2009 12:24 pm

Seems to me that we would get a much better correlation between the warming of the oceans and cloud cover. As Svensmark observed, clouds and cosmic radiation go together. If we crank in cosmic radiation in the climate models we will find a much better correlation than with the amount of CO2. This would explain both the rapid rise in the 90’s and the slight cooling in the 2000’s. My uneducated guess is that the CO2 influence is less than 1/3 of what was predicted. Some of the rest is cosmic radiation and its associated increased cloud cover.
One more thought. Could supernovas in our own galaxy be the trigger for ice ages?

Back2Bat
October 24, 2009 12:31 pm

[ok Back2Bat. I’m recommending to Anthony a permanent ban for those “tests” ] ~ charles the moderator

Espen
October 24, 2009 12:32 pm

Very interesting stuff! I read “The impact of shortwave radiation (visible light) on SST depends on factors such as the turbidity of the water and sea surface albedo, which in turn depend on other variables including wind speed and chlorophyll concentration.” and thought of how turbidity again is related to algae, which consume CO2 and release O2… The oceans and the cloud system is such a fascinating complex system that as a mathematician and computer programmer I’m extremely skeptical to whether it will ever be possible to model it in enough detail to make any predictions at all.

October 24, 2009 12:36 pm

I thought IR only penetrates the ocean surface layer, and effectively causes increased evaporation. So the result is essentially no net heating of the water.

October 24, 2009 12:40 pm

I think no AGW proponent scientist would argue that downward LW radiation can warm the ocean, as that means the atmosphere would warm the ocean.
The ocean can gain heat via the Sun radiation or, with a costant Sun, via a decrease of heat escaping through the sea surface.
Heat goes out from the ocean via evaporation or via outgoing LW radiation.
Evaporation is strongly influenced by wind. Outgoing LW radiation depends on how much the medium in between the source (the ocean) and the sink (the sideral space) is prone to let energy flow through it. That medium is the atmosphere that, as far as LW radiation is concerned, affects the speed of the outgoing radiation from the ocean to space.

Back2Bat
October 24, 2009 12:44 pm

Charles,
I apologize for being obnoxious. I thought my last “test” indicated that. I am not called a “coward” very often. I suppose the Lone Ranger was a “coward” too.
Reply: In context I now see what you were up to and remove my recommendation for the ban. Two points. Please refer to Anthony in the future by his full name and you may want to reign in that ego. ~ charles the moderator

Gene Nemetz
October 24, 2009 12:46 pm

What Mr. Hansen fails to acknowledge is that ENSO also has significant impacts outside of the tropics.
He seems to not acknowledge the full picture of reality.

October 24, 2009 12:59 pm

DJ Meredith: You asked, “To what degree is OHC influenced by hydrothermal systems, and other mechanisms of heat transport in the oceanic crust?”
I’ve never seen it discussed in any paper.

Adam from Kansas
October 24, 2009 1:07 pm

Speaking of ENSO and Oceans I have been saying El Modoki has been ramping up as of recent, just look at the TAO site, the SOI index is currently falling at a good clip as well, I say El Modoki because this isn’t the classic El Nino and even the warmest spot isn’t a huge area like the one in 1997.
http://www.pmel.noaa.gov/cgi-tao/cover.cgi?P1=/tao/jsdisplay/plots/gif/sst_wind_anom_5day_ps32.gif&P2=900&P3=456&script=jsdisplay/scripts/biggif_startup.csh
What hasn’t been seen as a result yet of this event is SST’s going to higher levels when you look at the UAH site.
Heat content in the ENSO region isn’t in an incredible amount in a large space
http://www.pmel.noaa.gov/cgi-tao/cover.cgi?P1=heat&P2=20091021-October-23-2009&P3=month&P4=off&script=jsdisplay/scripts/lat-lon-5day-jsd.csh
It also seems apparent low humidity in the region is making heat release easier too.
http://www.pmel.noaa.gov/cgi-tao/cover.cgi?P1=rh&P2=20091021-October-23-2009&P3=month&P4=off&script=jsdisplay/scripts/lat-lon-5day-jsd.csh
Then you look at air temps. the hottest spot is kind of in a small area compared to what it can do in the ENSO region.

Niels A Nielsen
October 24, 2009 1:14 pm

Paolo M. (12:40:02) : True but with an increasing amount of ‘heat in the pipeline’ – caused by the speed of the outgoing radiation from the ocean to space slowing down – you would expect the oceans to keep gaining heat, right? What are the implications if the oceans do not gain heat as suggested by the Argo data?

Gene Nemetz
October 24, 2009 1:25 pm

What Mr. Hansen fails to acknowledge is that ENSO also has significant impacts outside of the tropics.
Does he fail to do it intentionally?

matt v.
October 24, 2009 1:47 pm

Bob
I agree with your comments. I have found that Met Office also seems to exclude natural variables in their models and come up also with inflated warming
*AMO effect seems to be excluded
*NAO effect is not captured their models
*MOC effect is assumed to weaken in response to warming from greenhouse gases by as much as 50% in some future periods
* PDO spatial Pacific Pattern is not mentioned
*El Nino/La Nina effects may be included but how frequently and at what amplitude is not clear .
* Effect or inclusion of solar cycles not mentioned.
They are currently projecting
* 2009/2010Winter temperatures to be near or above average for Europe
* 2009/2010 winter to be milder than last year in temperatures for UK
* Half of the years 2010 to 2015 will be warmer than 1998 record year
1998 global temp anomaly was 0.546.C.[ In 2008 it was 0 .326 C.] per Hadcrut3
* Warming only for the next decade [per Vicky Pope on BBC radio] as opposed to M.Latifs [Germany] who forecasts leveling off or cooling next decade or two
* 4C rise in 50 years[ 0.08 c/year] [a rate that is 20 times faster than the trend of the last 158 years[ 0.004/year] and 10 times faster than the trend of the last 100 years [0.0075 C/year] and 11 times faster than the trend of the last 10 years [0.00752C /year] .[hadcrut3 ]

Back2Bat
October 24, 2009 1:50 pm

“… and you may want to reign in that ego. ~: ctm
Sorry, but I give up on Leif’s ego. Oh, you mean mine. Does that mean I should not challenge what Leif says? I know he lends a lot of credibility to this site but outside his field he is merely mortal.
I’ve accomplished my mission.
Good luck.
Tell Tony so long.

October 24, 2009 2:11 pm

Do you want us to answer that question?
Here it is: Easy!…Those models are the toys of grown up kids who call themseves scientists.
There are great american scientists, but you won´t find them among government employees.

Dave Wendt
October 24, 2009 2:12 pm

Bob Tisdale (12:59:33) :
DJ Meredith: You asked, “To what degree is OHC influenced by hydrothermal systems, and other mechanisms of heat transport in the oceanic crust?”
I’ve never seen it discussed in any paper.
Bob
I’ve tried to raise this paper for discussion in comments here a few times since I came across it last summer, without much success.
http://www.ocean-sci.net/5/203/2009/os-5-203-2009.pdf
It’s called “Geothermal heating, diapycnal mixing and the abyssal circulation”. I found it interesting because it seems to support my view that the contribution of geothermal energy to ocean heating is not very well understood and probably seriously underestimated. I don’t know if you are familiar with it, but your knowledge of ocean heat is probably much better than mine and I’d be interested to hear your views on it.

Stephen Wilde
October 24, 2009 2:22 pm

Good work and a step in the right direction.
Climate shifts seem to primarily result from changes in the rates of energy release by the oceans on several cyclical timescales.
No models or global energy budgets cater for variable energy release from oceans. All assume that the oceanic contribution is static.
Once one accepts that ocean energy release is variable then the significance of greenhouse gases becomes pretty much insignificant in the scale of things. The oceans keep the air warmer than it should be, not those greenhouse gases.
Without the energy flow from the oceans GHGs count for nothing as witness the speed of cooling in dry continmental air masses over land as soon as the sun goes down. Night time downwelling infra red doesn’t help there at all. One additionally needs an inflow of humid air from the oceans to reduce the rate of energy loss to space at all.
Downwelling infrared seems not to get more than a few microns into the ocean surface before being released back to the air as latent heat in water vapour with an enhanced cooling of the molecules below by virtue of evaporation having a net cooling effect.
An article on the topic of downwellling IR will be available shortly at climaterealists.com.

Kum Dollison
October 24, 2009 2:46 pm

SOI is coming back in some, now, but it got pretty low last week. -42
http://www.longpaddock.qld.gov.au/SeasonalClimateOutlook/SouthernOscillationIndex/30DaySOIValues/

October 24, 2009 2:48 pm

matt v: You wrote, “PDO spatial Pacific Pattern is not mentioned…” which reminded me of something I’ve noticed about the comparisons of outputs of climate models versus observations, especially when they provide them as patterns on maps or something other than a time-series graph.
In Hansen et al (2005), they write (as an intro to the part I want to call your attention to), “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).”
The full Figure 3 is here:
http://i35.tinypic.com/24qo1si.png
Here’s the rest of that paragraph, (the part I find interesting): “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 individual model runs in their Figure 3 so that we can compare the observations and the 5-run mean:
http://i36.tinypic.com/35i1111.png
I don’t see that 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.” In fact, I see very little similarities between the model and the observations.
Same thing holds true for a paper I was asked to comment on over at Accuweather : Vecchi et al (2006) “Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing”. Link:
http://www.gfdl.noaa.gov/bibliography/related_files/gav0602.pdf
To me, it shows how poorly GCMs model atmospheric processes, such as Sea Level Pressure. Refer to their Figure 1 “Spatial pattern of observed and modelled sea level pressure linear trends”, which compares Observed and GCM hindcasts of Sea Level Pressure Trends for the tropical Pacific. Visually compare Cells a “Observed” and b “All Forcings”. The only thing remotely similar is the sign of the trends, but that’s only in places. Other than that there is very little agreement between the spatial patterns of the two illustrations.
Now let’s look at Vecchi et al (2006) Figure 3 “Observed and modelled evolution of DSLP since the nineteenth Century” to see why the spatial pattern modeling is so poor. Cell a shows the “Observed” delta SLP. Note how it fluctuates with very little trend until the late 1970s, then there’s the dip and rebound from the late 1970s to 2000. (Does the dip in the late 1970s reflect the impact of the Pacific Climate shift on SLP data? It’s an odd coincidence if it doesn’t.) Now look at the Modeled dataset in Cell b. The model outputs only cycle along a decreasing trend. There’s no evidence of the shift, no real dip and rebound that’s evident in the observed data. Visually comparing Cells a and b, there’s very little similarity between the frequency and amplitude of the variations. Does the model reflect reality? No. Not even close. There’s no shift. The wiggles don’t match. This is why they only compare trends. Pretty easy to match trends with assumed forcings that have no basis in reality.
In short, just because the modelers say there are similarities between their models and observations, it doesn’t make it fact.

Leone
October 24, 2009 2:53 pm

To calculate how e.g. heat content in oceans is changed by changing CO2 concentration, it is needed true vertical temperature function up to middle troposphere, which covers whole sea surface. And of course it must cover different times: day and night, winter and summer. This is minimum start condition to perform calculation.
I guess that this information is not available accurately enough at present times. And if some day it is, then you have to have correct physical model and formulas…
So let’s go back to these projections after 1000 years. Those who present them today, make themselves only silly.

October 24, 2009 3:42 pm

Dave Wendt (14:12:13): Thanks for the link. I took one run through and noticed this: “Of course, the deep ocean is subjected to another heat source: the geothermal flux due to lithospheric cooling. Yet the latter is usually neglected in oceanographic studies, primarily because it amounts to less than 2% of surface heat fluxes.”
DJ Meredith, there’s your answer. They also note this about a global heatflow dataset for ocean studies, “To the best of our knowledge, such a dataset does not currently exist, as the measurement of conductive heatflow in the superficial sediments are too sparse.”

Justthinkin
October 24, 2009 3:53 pm

Anything associated with Hansen should automatically have pseudo added to it.Why aren’t REAL scientists who follow the rules of science not screaming from the roof tops about these phonies? Or is it a case of follow the money?

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