ARGO-Era NODC Ocean Heat Content Data (0-700 Meters) Through December 2010

Guest post by Bob Tisdale:

NOTE: This post contains 5 .gif animations that total 10MB. (below the continue reading line) Have patience. They may take a while to load.

This post is a follow-up to the recent post October to December 2010 NODC Ocean Heat Content (0-700Meters) Update and Comments. I wanted to discuss the ARGO-based period separately.

For those new to ARGO, under the heading of “What is Argo?”, the University of California, San Diego Argo webpage describes Argo as a “global array of 3,000 free-drifting profiling floats that measures the temperature and salinity of the upper 2000 m of the ocean.” The UCSD Argo website provides much more information, including an argo.avi video.

Much of the data in this post is supplied by ARGO for the upper 700 meters.

THE ARGO ERA (2003 TO PRESENT)

The NOAA NCEP webapge that presents the Global Ocean Data Assimilation System (GODAS) Input data distributions (1979-present) (Plots) allows users to plot the number of Temperature profiles at different depths for the globe, or for the Atlantic, Indian, and Pacific Oceans. An example of Global data for depths of 250 to 500 meters is shown in Figure 1. According to it, ARGO floats have been in use since the early 1990s, but they had very limited use until the late 1990s. ARGO use began to rise then, and in 2003, ARGO-based temperature readings at depth became dominant. Based on that, I’ll use January 2003 as the start month for the “ARGO-era” in this post.

http://i56.tinypic.com/1448yo3.jpg

Figure 1

Note the significant drop in samples in 2010. I have not found an explanation for this.

The NCEP GODAS Input data (Plots) webpage also allows visitors to create maps of temperature profile locations. Animation 1 is a gif animation that shows the annual data locations from 1979 to 2004. The measurements made with Expendable Bathythermographs (XBTs) are shown in red (x), the moored buoys that are parts of the TAO/ TRITON (Pacific) and PIRATA (Atlantic) projects are shown in green (+), and the blue (o) are ARGO-based measurements. Note how sparse the data is in the Southern Hemisphere prior to the early 2000s, especially south of 30S.

http://i55.tinypic.com/14ikdxs.jpg

Animation 1

Unfortunately, GODAS switched map formats in 2005 and again in 2006, so an animation that included the three map formats would be difficult to watch. The format used in 2005 is unlike those in use before or after, so I’ve excluded it in both animations. Animation 2 shows the Monthly temperature profile locations from January 2006 to December 2010. Note the decline in sampling in 2009/10, especially in the Indian Ocean. Why? Dunno.

http://i55.tinypic.com/2copg03.jpg

Animation 2

ARGO-ERA TREND VERSUS GISS PROJECTION

In past posts, when I’ve compared the NODC Global Ocean Heat Content to GISS projections, I’ve used the rate of 0.98*10^22 Joules per year for the GISS projection. This value was based on Roger Pielke Sr’s February 2009 post Update On A Comparison Of Upper Ocean Heat Content Changes With The GISS Model Predictions. The recent RealClimate posts Updates to model-data comparisons and 2010 updates to model-data comparisons have presented the projections based on Gavin Schmidt extending a linear trend of the GISS Model-ER simulations past 2003. The linear trends in both graphs are approximately 0.7*10^22 Joules per year. I’ll use this value in the comparison, but first a few more notes.

Gavin writes in the 2009 post, “Unfortunately, I don’t have the post-2003 model output handy, but the comparison between the 3-monthly data (to the end of Sep) and annual data versus the model output is still useful,” and he continues, “I have linearly extended the ensemble mean model values for the post 2003 period (using a regression from 1993-2002) to get a rough sense of where those runs could have gone.”

The only paper that I’m aware of in which GISS presented their simulations of Ocean Heat Content was Hansen et al (2005) “Earth’s energy imbalance: Confirmation and implications”. Science, 308, 1431-1435, doi:10.1126/science.1110252 (PDF). In it, they only presented their data from 1993 to 2003. Refer to their Figure 2 (not illustrated in this post).

For those who might be concerned that extending the linear trend does not represent the actual model simulations, refer to Page 8 of the .pdf file GISS ModelE: MAP Objectives and Results. The graph there presents two GISS OHC Model E simulations, one with the Russell Ocean model, the other with the HYCOM Ocean model. The simulations run to 2010 for both models. Do they extend further into the future? And for those who want to attempt to duplicate that comparison of the Model-ER and Model-EH versus the early NODC OHC data, the NODC OHC data (older version) was based on the 2005 Levitus paper “The Warming Of The World Ocean: 1955 to 2003” (Manuscript). Link for the 0 – 700 meters data.

Back to the comparison of the ARGO-era OHC data and the GISS Projection: The most recent version of the NODC OHC data is linked here for 0 – 700 meters. I’ve compared it for the period of 2003-2010 to the GISS projection in Figure 2. Note that I’ve shifted the data down so that it starts at zero in 2003. The GISS projection of 0.7*10^22 Joules per year dwarfs the linear trend of the ARGO-era NODC OHC data. No surprise there.

http://i53.tinypic.com/vh5gtd.jpg

Figure 2

NOTE ABOUT THE DATA

The remainder of the data in this post was downloaded from the KNMI Climate Explorer Monthly observations webpage. The NODC OHC data there is presented in Gigajoules per square meter (GJ/m^2), not the units (10^22 Joules) provided by NODC. That’s why the scale and trends in Figures 2 and 3 are different. The NODC also provides their OHC data on a quarterly basis, but KNMI presents it as monthly data, thus allowing for comparisons to other monthly datasets. This is why the OHC data appears in 3-month tiers in Figures 3, 4 and 5.

GLOBAL AND OCEAN BASIN TRENDS

Figure 3 shows the Global NODC OHC data for the period of January 2003 to December 2010. Comparing its linear trend (0.19 GJ/m^2 per Century) to the trend of the long-term data from 1955 to 2002 shown in Figure 4 (0.52 GJ/m^2 per Century), there has been a significant flattening of the Global OHC data in recent years. And this flattening was not anticipated by the GISS models, which show a continuous rise through 2010.

http://i56.tinypic.com/315mmg6.jpg

Figure 3

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http://i54.tinypic.com/sxhqio.jpg

Figure 4

Of course, the oceans are not warming uniformly. Refer to Figure 5. The trends for the North Pacific and the Southern Oceans are basically flat. The only two ocean basins with major increases in OHC during the ARGO era are the South Atlantic and the Indian Oceans, while the North Atlantic, Arctic, and South Pacific Oceans show significant declines in OHC.

http://i56.tinypic.com/28qvtqu.jpg

Figure 5

Note: The coordinates for the ocean basins are:

North Atlantic = 0-75N, 78W-10E

South Atlantic = 60S-0, 70W-20E

Indian = 60S-30N, 20E-120E

North Pacific = 0-65N, 120E-90W

South Pacific = 60S-0, 120E-70W

Arctic = 65N-90N

Southern = 90S-60S

ARGO-ERA CHANGES IN NODC OHC

Figure 6 is a map that displays the change in ARGO-era OHC, from 2003 to 2010. It was created by using 2003 as the base year for anomalies, and plotting the annual OHC values for 2010. Much of the cooling in the North Atlantic has taken place at mid and lower latitudes. In the South Pacific, there was also a decline in the lower latitudes, but there appears to also have been a drop there at higher latitudes along the Antarctic Circumpolar Current (ACC).

http://i51.tinypic.com/21crset.jpg

Figure 6

Animations 3, 4 and 5 present the ARGO-era OHC data, using 12-month averages. The first cells are the average OHC from January to December 2003. These are followed by cells that show the period of February 2003 to January 2004 and so on, until the final cell that captures the average OHC from January to December 2010. The 12-month average reduces the noise and any seasonal component in the data. I’ve also included a graph of NINO3.4 SST anomalies (smoothed with a 12-month filter, and centered on the 6th month) since the effects of ENSO dominate the OHC data. The NINO3.4 SST anomaly graph infills with time. Animation 3 presents global maps.

http://i54.tinypic.com/eu4pzq.jpg

Animation 3

Animation 4 is the North Pole stereographic view. Note the warming of the western tropical North Pacific during the 2007/08 La Niña. It’s tough to miss. There also appears to be a lagged decline in the North Atlantic OHC in response to the 2007/08 La Niña. Will we see a lagged increase there next year?

http://i53.tinypic.com/2mo8fuq.jpg

Animation 4

And Animation 5 is the South Pole stereographic view. Note the persistence of the warm and cool anomalies moving southward from the equatorial Pacific in waves, and also into the South Indian Ocean. I believe those would be classified as oceanic Rossby waves.

http://i54.tinypic.com/2v9rqy0.jpg

Animation 5

CLOSING

Watching the animations, it is very obvious that ENSO and the distribution of warm and cool waters caused by ENSO are major components of Global Ocean Heat Content. Refer to ENSO Dominates NODC Ocean Heat Content (0-700 Meters) Data for further discussion and illustrations. OHC studies such as Hansen et al (2005), however, do not include ENSO in their models. They assume that Anthropogenic Greenhouse Gases have a measurable impact on Ocean Heat Content. The impacts of the failure of GISS to include ENSO and other natural variables in their analysis was illustrated and discussed in detail in Why Are OHC Observations (0-700m) Diverging From GISS Projections?

Refer also to North Pacific Ocean Heat Content Shift In The Late 1980s and North Atlantic Ocean Heat Content (0-700 Meters) Is Governed By Natural Variables.

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Nonegatives
March 25, 2011 1:11 pm

Note the decline in sampling in 2009/10, especially in the Indian Ocean. Why? Dunno. Two words: Somali pirates. They are holding the climate data hostage, but what are their demands?
I am having a hard enough time combining multiple data sources that are all under my control. I can appreciate the difficulty in dealing with so many agencies to produce reliable results!

March 25, 2011 1:24 pm

Changes in the ion charge gradient from pole to equator due to interactions of the Earth’s geomagnetic storms, resulting from solar wind variances can change the cloud nebulized droplet size on a global scale, allowing large shifts in the total UV solar power reaching the surface with NO change in TSI.
Synod conjunctions with the outer planets have this effect, and the timing of the passage of these conjunctions as they process through the seasons, shifts the periodicity of the effects leading to the chaotic patterns seen.
http://research.aerology.com/natural-processes/solar-system-dynamics/

DirkH
March 25, 2011 2:05 pm

Wow! Animations 3,4,5 are breathtaking! I love the coordinate system on the right, telling me where i am in time without having to decipher running numbers. Thanks!

Theo Goodwin
March 25, 2011 3:43 pm

Would someone please give a ballpark figure regarding the significance of Figure 2 and the issues associated with it?
It seems to me that Figure 2 shows that the ARGO data shows no increase in OHC after 2003 yet GISS model projections call for a large increase. So, it seems that the model was way off and expected increase in OHC is non-existent. Isn’t this quite a blow to AGW? How might the GISS people respond? Could they respond by questioning the ARGO technology?

Editor
March 25, 2011 3:51 pm

Very well done, Bob. A great read, and excellent graphics. Keep up the good work.
w.

Jer0me
March 25, 2011 4:04 pm

DirkH says:
March 25, 2011 at 2:05 pm

I love the coordinate system on the right, telling me where i am in time without having to decipher running numbers. Thanks!

I agree – you do not have to keep looking away and working out numbers.

Editor
March 25, 2011 5:12 pm

Tisdale, Sony ATV is claiming copyright on your longer term animation you posted inline in comments…. You may want to deal with YouTube on this…

March 25, 2011 5:19 pm

” The impacts of the failure of GISS to include ENSO and other natural variables in their analysis … ”
Is it ENSO a variable? or it is rather an effect of another variable ? What causes ENSO variations? The ENSO predictions are based on which variables?

Werner Brozek
March 25, 2011 5:32 pm

Excellent post!
However is one of the titles not wrong where it says: NODC Ocean Heat Content Anomalies (0-700 Meters) Global Jan 1955 to Dec 2010. The graph right below it shows from 2003 to Dec 2010.
[Fixed, thanks.]

March 25, 2011 6:57 pm

Werner Brozek: “However is one of the titles not wrong where it says: NODC Ocean Heat Content Anomalies (0-700 Meters) Global Jan 1955 to Dec 2010. The graph right below it shows from 2003 to Dec 2010.”
Yup. Thanks for noticing the wrong start year in title block of Figure 3. I’ll repair the original. Thanks again.
And the Moderator replied, “Fixed, thanks.”
Moderator: I’m seeing an error in the title block of the graph in Figure 3, that only I can repair. What else was wrong that you fixed?

Theo Goodwin
March 25, 2011 7:30 pm

juanse barros says:
March 25, 2011 at 5:19 pm
“Is it ENSO a variable? or it is rather an effect of another variable ? What causes ENSO variations? The ENSO predictions are based on which variables?”
You are a good scientist, sir. As of now, there is no set of hypotheses that describe the natural regularities that make up ENSO. People extrapolate forecasts (not predictions) about ENSO from various collections of data regarding past ENSOs.

Bill DiPuccio
March 25, 2011 7:50 pm

We are approaching a decadal milestone in OHC measurements. Hansen and Schmidt claimed that OHC from from 1993-2003 confirmed their AGW hypothesis (Hansen et al (2005) “Earth’s energy imbalance: Confirmation and implications”. Science, 308, 1431-1435, doi:10.1126/science.1110252).
In 2013 another ten years will have elapsed. Applying the same criteria we can safely conclude that their hypothesis has been falsified if the decadal trend shows little or no warming. Their only alternative is to credibly document the existence and magnitude of the “missing heat.” Otherwise game over.

March 25, 2011 8:09 pm

A masterpiece of data assimilation and presentation Bob.
Such a pity we don’t have data for the Southern Ocean over a longer period. It is in January that the greatest inter-annual variation in surface temperature occurs in both hemsipheres. It would be interesting to compare ocean heat content in mid latitudes with sea surface temperature and cloud cover over daily or monthly intervals.

HR
March 26, 2011 12:53 am

The ARGO OHC is so obviously the elephant in the room you would think that the climate science establishment would be dealing with it. Opining that the ARGO date must just be wrong sounds hollow. It would be good to see somebody from the climate science establishment to deal with this data in an honest way. I like Bill DiPuccio’s suggestion for a new decadal scale analysis.

March 26, 2011 1:34 am

juanse barros says: “Is it ENSO a variable? or it is rather an effect of another variable ? What causes ENSO variations? The ENSO predictions are based on which variables?”
The following link is to an introduction of ENSO that will hopefully answer most of your questions:
http://bobtisdale.blogspot.com/2010/08/introduction-to-enso-amo-and-pdo-part-1.html
Predictions? I do not know which of the coupled ocean-atmosphere processes scientists base their predictions on (it likely varies per model) or how they attempt to model it. But the models do a poor job of capturing all of the interacting processes.

Keith
March 26, 2011 4:31 am

Bob:
Did anyone calculate the effect on the Argo array data caused by the leaking pressure sensors? Do they even know how many pressure sensors failed? At one point two years ago they were guessing the failure rate as high as 30%.
Thanks
Keith

March 26, 2011 5:05 am

Bob Tisdale says:
March 25, 2011 at 9:13 am
…….
Thanks.

March 26, 2011 5:25 am

Keith says: “Did anyone calculate the effect on the Argo array data caused by the leaking pressure sensors?”
I don’t know for certain. But there were changes/corrections to the ARGO-era data when the NODC updated/corrected the dataset back in 2010. On the second page of the following link they state, “1. Changes due to data additions and data quality control, both at NODC and by originators. Substantial quality control has been carried out by the Argo community on the profiling floats, mainly to correct pressure offsets. A substantial amount of data for recent years has been added to the analysis.”
ftp://ftp.nodc.noaa.gov/pub/data.nodc/woa/DATA_ANALYSIS/3M_HEAT_CONTENT/PDF/heat_content_differences.pdf
Are “pressure offsets” corrections for leaky sensors, etc.? Dunno.

March 26, 2011 5:37 am

Mike Lorrey says: “Tisdale, Sony ATV is claiming copyright on your longer term animation you posted inline in comments…. You may want to deal with YouTube on this…”
Mike, they only hold the copyright to the music that’s included, and they’ve linked a couple of ads to that YouTube webpage.
YouTube advised, “No action is required on your part. Your video is still available worldwide.”
But if push comes to shove, I can simply upload a version without the music.

phlogiston
March 26, 2011 7:54 am

Tisdale
YouTube advised, “No action is required on your part. Your video is still available worldwide.”
I’m familiar with this message when you post a video with a sound track from a music CD. In Germany the video will be blocked, but otherwise, indeed, “No action is required on your part”.

phlogiston
March 26, 2011 7:58 am

Note the significant drop in samples in 2010. I have not found an explanation for this.
Curious indeed, almost like the fall off in surface stations in the 90’s – but then there was the end of cold war and associated cultural rejection of science and objectivity as an explanation. What now – the wrong message, shoot the messengers?

March 26, 2011 9:05 am

juanse barros says: March 25, 2011 at 5:19 pm
Is it ENSO a variable? or it is rather an effect of another variable ? What causes ENSO variations? The ENSO predictions are based on which variables?
Theo Goodwin says: March 25, 2011 at 7:30 pm
As of now, there is no set of hypotheses that describe the natural regularities that make up ENSO. People extrapolate forecasts (not predictions) about ENSO from various collections of data regarding past ENSOs.
As you may be aware there is close correlation between PDO and ENSO.
I have a good reason to think that PDO has primacy over ENSO. This is based on knowledge of oscillations in the North Pacific currents, which I consider to be the PDO driver. Both de-trended and the first differential (the rate of change) of the PDO driver’s data shows good correlation with the actual PDO.
There is exactly the same type of driver in the North Atlantic correlating with AMO.
More details will be available in a short article I am currently preparing based on my findings as shown here:
http://www.vukcevic.talktalk.net/PDO-ENSO-AMO.htm

Pompous Git
March 26, 2011 11:35 am

Lady Life Grows said March 25, 2011 at 8:28 am
“I am getting very tired of all this talk about models and what they show. In my high school physics class, I learned a central definition of science: it makes successful predictions. For example, Aristotelian physics, produced by “intelligent thought” predicted that a lighter weight would fall at a slower rate than a heavier one. The famous Pisa experiment debunked that one. Newtonian physics predicts that a body in motion will remain in motion unless acted upon by an outside force–such as friction. The measurements on this one can be carried out to three decimal places or more and produce a perfect graph.
The models are notorious for failed predictions, and not just in the new century. They are unscientific.”
Galieleo does not state where he conducted his “famous Pisa experiment”, but he did record the height from which his assistants dropped the wooden ball and the cannon ball. It was 300 ft higher than Pisa. Were they extraordinarily tall, or did they use helicopters?
In any event, Galileo recorded that the wooden ball initially fell faster than the cannon ball, before being overtaken by the cannon ball which beat the wooden ball to the ground.
Where were the experiments on “a body in motion will remain in motion unless acted upon by an outside force” conducted? In an alternate universe without gravity?
Learn how to distinguish between Gedanken and physical experiments before pontificating.

Dave Springer
March 26, 2011 12:45 pm

The green declining trend are moored buoys for the most part in the Pacific with some in the Atlantic beginning around 2000. One should think these would be the most accurate instruments being fixed in position and few in number. Expendible bathyspheres must be relatively inexpensive (read not as reliable/accurate) if they’re expendible and being towed behind a ship presumbly mostly in shipping lanes and avoiding the worst weather and high seas.
In shipping lanes is an important factor because surface vessels don’t care for the kind of severe weather events that suck heat out of the ocean to power them and will go around or delay rather than go through. Many of you probably recall Anthony posting ocean temperature tracks last hurricane season where we could see the trail of cooler water under the hurricane track. It was basically a map of missing energy the hurricane used to power its winds. Buoys on the other hand will stay put through all extreme weather events and not being expendible and fewer in number are likely much higher quality instruments.

BobW in NC
March 26, 2011 1:34 pm

Regarding models…from Hartline, BK; Science 203:246, 1979:
“…the ability to predict is the ultimate test of understanding.”
GISS fails by this criterion.