The oceans as a calorimeter and solar amplification

For those who don’t know, a calorimeter is a device to measure heat capacity. There is an entire science called calorimetry devoted to this measurement. Scottish physician and scientist Joseph Black, who was the first to recognize the distinction between heat and temperature, is claimed to be founder of calorimetry. Interestingly, Black studied properties of Carbon Dioxide. One of his experiments involved placing a flame and mice into the carbon dioxide. Because both entities died, Black concluded that the air was not breathable. He named it ‘fixed air’ – Anthony

Reposted from Sciencebits by Professor Nir J. Shaviv, Racah Institute of Physics

I few months ago, I had a paper accepted in the Journal of Geophysical Research. Since its repercussions are particularly interesting for the general public, I decided to write about it. I would have written earlier, but as I wrote before, I have been quite busy. I now have time, sitting in my hotel in Lijiang (Yunnan, China).

Lijiang Scene

A scene in Lijiang near my hotel, where most of this post was written. More pics here.

A calorimeter is a device which measures the amount of heat given off in a chemical or physical reaction. It turns out that one can use the Earth’s oceans as one giant calorimeter to measure the amount of heat Earth absorbs and reemits every solar cycle. Two questions probably pop in your mind,

a) Why is this interesting?

and,

b) How do you do so?

Let me answer.

One of the raging debates in the climate community relates to the question of whether there is any mechanism amplifying solar activity. That is, are the solar synchronized climatic variations that we see (e.g., take a look at fig. 1 here) due to changes of just the solar irradiance, or, are they due to some effect which amplifies the solar-climate link. In particular, is there an amplification of some non-thermal component of the sun? (e.g., UV, solar magnetic field, solar wind or others which have much larger variations than the 0.1% variations of the solar irradiance). This question has interesting repercussions to the question of global warming, which is why the debate is so fierce.

If only solar irradiance is the cause of the solar-related climate variations, it would imply that the small solar variations cause large temperature variations on Earth, and therefore that Earth has a very sensitive climate. If on the other hand there is some amplification mechanism, it would imply that solar variations induce much larger variations in the radiative budget, and that the observed temperature variations can therefore be explained with a smaller climate sensitivity.

Since global warming alarmists want a large sensitivity, they adamantly fight any evidence which shows that there might be an amplification mechanism. Clearly, a larger climate sensitivity would imply that the same CO2 increase over the 21st century would cause a larger temperature increase, that is, allow for a more frightening scenario, more need for climate research and climate action, and more need for research money for them. (I am being overly cynical here, but it some cases it is not far from the truth). Others don’t even need research money, don’t really care about the science (and certainly don’t understand it), but make money from riding the wave anyway (e.g., a former vice president, without naming names).

On the other end of the spectrum, politically driven skeptics want to burn fossil fuels relentlessly. A real global warming problem would force them to change their plans. Therefore, any argument which would imply a small climate sensitivity and a lower predicted 21st century temperature increase is favored by them. Just like their opponents, they do so without actually understanding the science.

I of course, don’t get money from oil companies. In fact, I am not a republican (hey, I am even the head of a workers union). I care about the environment (I grew up in a solar house) and think there are a dozen good reasons why we should burn less fossil fuels, but as you will see below, global warming is not one of them. In fact, I am driven by something strange… the quest for the knowledge!

With this intro, you can realize why answering the solar amplification question is very important (besides being a genuinely interesting scientific question), and why answering it (either way) would make some people really annoyed.

So, what do the oceans tell us?

Over the 11 or so year solar cycle, solar irradiance changes by typically 0.1%. i.e., about 1 W/m2 relative to the solar constant of 1360 W/m2. Once one averages for the whole surface of earth (i.e., divide by 4) and takes away the reflected component (i.e., times 1 minus the albedo), it comes out to be about 0.17 W/m2 variations relative to the 240 W/m2. Thus, if only solar irradiance variations are present, Earth’s sensitivity has to be pretty high to explain the solar-climate correlations (see the collapsed box below).

However, if solar activity is amplified by some mechanism (such as hypersensitivity to UV, or indirectly through sensitivity to cosmic ray flux variations), then in principle, a lower climate sensitivity can explain the solar-climate links, but it would mean that a much larger heat flux is entering and leaving the system every solar cycle.

The IPCC’s small solar forcing and the emperor’s new clothes.

With the years, the IPCC has tried to downgrade the role of the sun. The reason is stated above – a large solar forcing would necessarily imply a lower anthropogenic effect and lower climate sensitivity. This includes perpetually doubting any non-irradiance amplification mechanism, and even emphasizing publications which downgrade long term variations in the irradiance. In fact, this has been done to such an extent, that clear solar/climate links such as the Mounder minimum are basically impossible to explain with any reasonable climate sensitivity. Here are the numbers.

According to the IPCC (AR4), the solar irradiance is responsible for a net radiative forcing increase between the Maunder Minimum and today of 0.12 W/m2 (0.06 to 0.60 at 90% confidence). We know however that the Maunder minimum was about 1°C colder (e.g., from direct temperature measurements of boreholes – e.g., this summary). This requires a global sensitivity of 1.0/0.12°C/(W/m2). Since doubling the CO2 is thought to induce a 3.8 W/m2 change in the radiative forcing, irradiance/climate correlations require a CO2 doubling temperature of ΔTx2 ~ 31°C !! Besides being at odds with other observations, any sensitivity larger than ΔTx2 ~ 10°C would cause the climate to be unconditionally unstable (see box here).

Clearly, the IPCC scientists don’t comprehend that their numbers add up to a totally inconsistent picture. Of course, the real story is that solar forcing, even just the irradiance change, is larger than the IPCC values.

Now, is there a direct record which measures the heat flux going into the climate system? The answer is that over the 11-year solar cycle, a large fraction of the flux entering the climate system goes into the oceans. However, because of the high heat capacity of the oceans, this heat content doesn’t change the ocean temperature by much. And as a consequence, the oceans can be used as a “calorimeter” to measure the solar radiative forcing. Of course, the full calculation has to include the “calorimetric efficiency” and the fact that the oceans do change their temperature a little (such that some of the heat is radiated away, thereby reducing the calorimetric efficiency).

It turns out that there are three different types of data sets from which the ocean heat content can derived. The first data is is that of direct measurements using buoys. The second is the ocean surface temperature, while the third is that of the tide gauge record which reveals the thermal expansion of the oceans. Each one of the data sets has different advantages and disadvantages.

The ocean heat content, is a direct measurement of the energy stored in the oceans. However, it requires extended 3D data, the holes in which contributed systematic errors. The sea surface temperature is only time dependent 2D data, but it requires solving for the heat diffusion into the oceans, which of course has its uncertainties (primarily the vertical turbulent diffusion coefficient). Last, because ocean basins equilibrate over relatively short periods, the tide gauge record is inherently integrative. However, it has several systematic uncertainties, for example, a non-neligible contribution from glacial meting (which on the decadal time scale is still secondary).

Nevertheless, the beautiful thing is that within the errors in the data sets (and estimate for the systematics), all three sets give consistently the same answer, that a large heat flux periodically enters and leaves the oceans with the solar cycle, and this heat flux is about 6 to 8 times larger than can be expected from changes in the solar irradiance only. This implies that an amplification mechanism necessarily exists. Interestingly, the size is consistent with what would be expected from the observed low altitude cloud cover variations.

Here are some figures from the paper:

fig. 1: Sea Surface Temperature anomaly, Sea Level Rate, Net Oceanic Heat Flux, the TSI anomaly and Cosmic Ray flux variations. In the top panel are the inverted Haleakala/Huancayo neutron monitor data (heavy line, dominated by cosmic rays with a primary rigidity cutoff of 12.9 GeV), and the TSI anomaly (TSI – 1366 W/m2 , thin line, and based on Lean [2000]). The next panel depicts the net oceanic heat flux, averaged over all the oceans (thin line) and the more complete average heat flux in the Atlantic region (Lon 80°W to 30°E, thick line), based on Ishii et al. [2006]. The next two panels plot the SLR and SST anomaly. The thin lines are the two variables with their linear trends removed. In the thick lines, the ENSO component is removed as well (such that the cross-correlation with the ENSO signal will vanish).

fig 2: Sea Level vs. Solar Activity. Sea level change rate over the 20th century is based on 24 tide gauges previously chosen by Douglas [1997] for the stringent criteria they satisfy (solid line, with 1-σ statistical error range denoted with the shaded region). The rates are compared with the total solar irradiance variations Lean [2000] (dashed line, with the secular trends removed). Note that before 1920 or after 1995, there are about 10 stations or less such that the uncertainties increase.

fig 3: Summary of the “calorimetric” measurements and expectations for the average global radiative forcing Fglobal. Each of the 3 measurements suffers from different limitations. The ocean heat content (OHC) is the most direct measurement but it suffers from completeness and noise in the data. The heat flux obtained from the sea surface temperature (SST) variations depends on the modeling of the heat diffusion into the ocean, here the diffusion coefficient is the main source of error. As for the sea level based flux, the largest uncertainty is due to the ratio between the thermal contribution and the total sea level variations. The solid error bars are the global radiative forcing obtained while assuming that similar forcing variations occur over oceans and land. The dotted error bars assume that the radiative forcing variations are only over the oceans. These measurements should be compared with two different expectations. The TSI is the expected flux if solar variability manifests itself only as a variable solar constant. The “Low Clouds+TSI” point is the expected oceanic flux based on the observed low altitude cloud cover variations, which appear to vary in sync with the solar cycle (while assuming several approximations). Evidently, the TSI cannot explain the observed flux going into the ocean. An amplification mechanism, such as that of CRF modulation of the low altitude cloud cover is required.

So what does it mean?

First, it means that the IPCC cannot ignore anymore the fact that the sun has a large climatic effect on climate. Of course, there was plenty of evidence before, so I don’t expect this result to make any difference!

Second, given the consistency between the energy going into the oceans and the estimated forcing by the solar cycle synchronized cloud cover variations, it is unlikely that the solar forcing is not associated with the cloud cover variation.

Note that the most reasonable explanation to the cloud variations is that of the cosmic ray cloud link. By now there are many independent lines of evidence showing its existence (e.g., for a not so recent summary take a look here). That is, the cloud cover variations are controlled by an external lever, which itself is affected by solar activity.

Incidentally, talking about the oceans, Arthur C. Clarke made once a very cute observation:

References:

1) Nir J. Shaviv (2008); Using the oceans as a calorimeter to quantify the solar radiative forcing, J. Geophys. Res., 113, A11101, doi:10.1029/2007JA012989. Local Copy.

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lgl
April 17, 2009 5:01 am

Leif,
And the change dL/dt should correlate with dTSI/dt
It probably will not because of the tropical thermostat. See how well your dL/dt curve fit the ENSO. And the envelope of the minima usually seem to decline from solar max to solar min.

JALMetr@
April 17, 2009 6:31 am

Leif Svalgaard:
How about comparing with Shaviv’s Figure 2. He shows a clear cyclic variation of the sea level [although not too well correlated with the solar cycle]. In my plot [which reflects the actual data as I have downloaded them from reputable sources] there is no such variation, so his graph looks like pure fantasy to me, unless some fancy smoothing, bandpass filtering, adjusting, or other massagings that we are not told about were applied.
———————————————————–
In this graph I am using CSIRO/TOPEX/JASON, the same data you use.
http://foro.meteored.com/dlattach.html;topic=79069.0;attach=134194;image
The difference is that in yours you apply dTSI/dt p yr and I apply TSI, as Shaviv does. It shows a clear cyclic variation of the sea level, with some correlation with solar cycle. Before 1940 there is no correlation, perhaps due to quality data.
Anyway, I think that it only is indicating possible changes in heat content in the first 700 m, while sea level changes depend on many other factors:
http://www.cmar.csiro.au/sealevel/downloads/R733_nature07080.pdf

April 17, 2009 6:48 am

kim (03:17:10) :
Might not it be possible for a CSWNLI to have an external driver
You know that I’m not into ‘might it not be possible…’ games. I don’t know of a demonstrated external driver, and I don’t think it needs one.
lgl (05:01:26) :
And the envelope of the minima usually seem to decline from solar max to solar min.
Since I don’t think a solar connection has been demonstrated this atgument doesn’t do anything for me.

April 17, 2009 8:06 am

JALMetr (06:31:27) :
In this graph I am using CSIRO/TOPEX/JASON, the same data you use. […]
The difference is that in yours you apply dTSI/dt p yr and I apply TSI, as Shaviv does. It shows a clear cyclic variation of the sea level…

I do not apply anything, just plot the data, and it is not clear why our plots are different using the same data.
Anyway, the real issue [as per the title of this thread] is the heat content of the oceans. Here is a recent paper on that: http://www.leif.org/EOS/2008GL037155.pdf
Their Figure 1 does not show any decadal cycle.

kim
April 17, 2009 8:35 am

Leif at 06:48:27
A fair answer; sure there is no known external driver, there is no proven mechanism. But that none is necessary does not rule one out, does it? How about the idea that a solar external driver need not be in phase either with the solar cycles or the oceanic oscillations?
=========================================

lgl
April 17, 2009 8:40 am

Leif,
Ok what about this then. When volcanic activity is in phase with solar activity temp is rising, when they are in counter phase temp drops.
http://virakkraft.com/GCR-ENSO.ppt last page.

April 17, 2009 9:18 am

kim (08:35:33) :
How about the idea that a solar external driver need not be in phase either with the solar cycles or the oceanic oscillations?
I don’t do the ‘how about’ or ‘isn’t it possible…’ game. Show me a proposed mechanism and I can comment on it or evaluate it.
lgl (08:40:32) :
Ok what about this then.
Same thing.

gary gulrud
April 17, 2009 9:34 am

Lost on the adoring public: No weight of refuting evidence overcomes quid pro quo.

April 17, 2009 11:12 am

gary gulrud (09:34:16) :
Lost on the adoring public: No weight of refuting evidence overcomes quid pro quo.
Merda taurorum animas conturbit…

Dave Middleton
April 17, 2009 11:37 am

Replying to…
Leif Svalgaard (21:59:57) :
Dave Middleton (20:22:32) :
What do you think drives the PDO? Changes in THC? Or do you think there’s some other mechanism?
Every complex system with non-linear interactions oscillate all by themselves without any obvious external driver, so I really don’t know if there is one or not.
Fair enough…Thanks for the answer.

Jeff at UCLA
April 17, 2009 1:39 pm

Leif Svalgaard (15:42:42) :
……Because radiation, S, and temperature, T, are related by Stefan-Boltzmann’s law S = a T^4, changes are related thus: dS/S = 4 dT/T or the temperature change is one 1/4 of the radiation change, i.e. 0.1%/4 = 0.025% of 287K = 0.07 K which is small enough to be neglected.

Thank you for your explanation. I will familiarize myself more closely with this subject.
Your result is “small enough to be neglected” for purpose of the particular causation discussion here, yet I still see a problem with statistical comparisons of anything, irradiance, CO2 increase/decrease, what have you, and temperature change adjusted to the Celsius’ zero baseline rather than Kelvin’s. You do not comment on it, I don’t take that as acceding my point necessarily, but I think it worth consideration. Maybe the error plays out more in popular demonstrations of climate “science”, by those flouting degree Celsius stats to proclaim or disclaim the CO2 warming thesis–a rhetorical gimmick using Celsius and percentages could be used either way. I know I’ve encountered it elsewhere before, maybe in IPCC “executive summaries” or anti-warming literature. I will look around when I have time.

April 17, 2009 3:08 pm

Jeff at UCLA (13:39:01) :
Maybe the error plays out more in popular demonstrations of climate “science”,
possibly, and also the confusion between Fahrenheit and Celsius. Scientists do not get confused by the C versus K.

kim
April 17, 2009 4:34 pm

Leif 9:18:27
I’ve got to explore the dimensions of the possible before I can ponder a mechanism. Is it possible for a Complex System with Non-Linear Interactions to have an external driver? You’ve clearly made the points that an external driver is not necessary for a CSWNLI, and that you don’t know of one for the PDO or the earth’s climate, but do the characteristics of a CSWNLI rule out an external driver. I don’t think so, but my thinking is not informed by much knowledge.
Also, if one is possible, and it seems difficult to link any cycling phenomenon of the sun as an external driver to cycling systems on earth, then the area in which to look for a mechanism is where there is no obvious cycling causality or correlation. The ‘chaos’ of the sun could still drive the ‘chaos’ on earth.
==========================================

April 17, 2009 4:54 pm

kim (16:34:48) :
Is it possible for a Complex System with Non-Linear Interactions to have an external driver?
Certainly, a pair of coupled pendulums that you push a bit once in a while: http://www.maths.surrey.ac.uk/explore/michaelspages/Coupled.htm
The ‘chaos’ of the sun could still drive the ‘chaos’ on earth.
I’m not into the ‘could’, but true believers can take comfort in anything.

kim
April 17, 2009 6:03 pm

Leif 16:54:09
A light touche about ‘true believer’. Nonetheless, you have changed my beliefs. However, particularly with Tsonis’s recent work, the idea of an occasional, even somewhat random ‘light touch’ from the sun acting against the coupled pendulums of the oceanic oscillations might well be the manner by which the sun effects the climate. And it could surely be a signal difficult to discern.
===================================

JALMetr@
April 17, 2009 6:37 pm

Leif Svalgaard
JALMetr (06:31:27) :
In this graph I am using CSIRO/TOPEX/JASON, the same data you use. […]
The difference is that in yours you apply dTSI/dt p yr and I apply TSI, as Shaviv does. It shows a clear cyclic variation of the sea level…
I do not apply anything, just plot the data, and it is not clear why our plots are different using the same data.
———————————————————–
Leif,
I apologize for my dreadful English, I “applied” for apply, instead of plot.
Our plots are not different:
TSI. We use very similar reconstructions.
http://foro.meteored.com/dlattach.html;topic=79069.0;attach=134120;image
GMSL: We use same data and obtain same plot:
http://www.leif.org/research/Sea-Level-Change.png
http://foro.meteored.com/dlattach.html;topic=65613.0;attach=134225;image
The difference is that I also plot dGMSL(mm)/dt p yr and TSI:
http://foro.meteored.com/dlattach.html;topic=79069.0;attach=134194;image
And that is what Shaviv is doing. As I said, there is no correlation before 1940, and we must wait to see any in cycle 23; this year should be a decrease in dGMSL/dt.

April 17, 2009 9:00 pm

JALMetr (18:37:02) :
The difference is that I also plot dGMSL(mm)/dt p yr and TSI:
http://foro.meteored.com/dlattach.html;topic=79069.0;attach=134194;image
And that is what Shaviv is doing.

And also what I was doing. The red curve in:
http://www.leif.org/research/Sea-Level-Change.png
is as the plot says: “change per year” or dGMSL(mm)/dt. To calculate the latter I first compute a running 1-yr mean of monthly values of GMSL, then I differentiate that curve with a dt = 1 year.

lgl
April 18, 2009 2:37 am

It’s the volcanoes anyway. http://virakkraft.com/sealevel-VEI.jpg

Jeff at UCLA
April 18, 2009 1:58 pm

Leif Svalgaard (15:08:56) :
Jeff at UCLA (13:39:01) :
Maybe the error plays out more in popular demonstrations of climate “science”,
possibly, and also the confusion between Fahrenheit and Celsius. Scientists do not get confused by the C versus K.

NASA engineers have been known to confuse inches and centimeters!

April 18, 2009 6:58 pm

Jeff at UCLA (13:58:41) :
“Scientists do not get confused by the C versus K.”
NASA engineers have been known to confuse inches and centimeters!

Engineers vs. Scientists 🙂

lgl
April 21, 2009 1:33 pm

But it’s still the volcanoes http://virakkraft.com/sealevel-VEI-4.jpg
Note 1900 to 1925.

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