El Niño-Southern Oscillation Myth 2: A New Myth – ENSO Balances Out to Zero over the Long Term

Guest post by Bob Tisdale

This is the second part in a series of posts about El Niño-Southern Oscillation (ENSO). They address many of the myths and misunderstandings about the tropical Pacific processes that herald themselves during El Niño and La Niña events. In them, I’m simply reproducing chapters from my recently published ebook Who Turned on the Heat?

For almost 4 years, my presentations about the long-term effects of El Niño and La Niña events indicate the global oceans over the past 30+ years have warmed naturally. The long-term impacts of El Niño and La Niña are blatantly obvious. Proponents of anthropogenic global warming apparently have difficulty comprehending that so they use misinformation to try to contradict what’s plainly visible. Many of the myths they’ve created are failed attempts to neutralize strong El Niño and La Niña events—to redirect the observable causes of the warming over the past 3 decades from natural factors to manmade greenhouse gases.

The following discussion is from Chapter 7.3 A New Myth – ENSO Balances Out to Zero over the Long Term.

***

A new myth about ENSO recently appeared in posts at the website SkepticalScience. This year one author there has been writing something to the effect of, El Niño and La Niña events balance out to zero over the long term. That’s nonsense, plain and simple nonsense. There are a number of ways to show the errors with this myth. The best way is to create a running total of NINO3.4 sea surface temperature anomalies.

Wikipedia provides an easy-to-understand explanation of a Running Total:

A running total is the summation of a sequence of numbers which is updated each time a new number is added to the sequence, simply by adding the value of the new number to the running total. Another term for it is partial sum.

The purposes of a running total are twofold. First, it allows the total to be stated at any point in time without having to sum the entire sequence each time. Second, it can save having to record the sequence itself, if the particular numbers are not individually important.

If, over the long term, El Niño and La Niña events balanced out to zero, then a running total of NINO3.4 sea surface temperature anomalies would equal zero. Does it? Refer to Figure 7-10.

El Niño and La Niña events obviously have NOT balanced out to zero over the past 30+ years. That curve of the running total of NINO3.4 data looks surprisingly similar to the global sea surface temperature anomaly curve. It’s really difficult to miss the very obvious increase.

I’ve actually had someone reply in a blog comment that 30 years was not long enough. I then provided a running total of NINO3.4 sea surface temperature anomalies starting in 1900. That early start year is pushing the boundaries when it comes to equatorial sea surface temperature data. The Panama Canal opened in 1914, and before then, equatorial Pacific sea surface temperature data becomes increasingly sparse.

The base years for anomalies would also impact the running total, especially one that long, so we need to pick some. Trenberth (1997) The Definition of El Niño stated that 1950 to 1979 was the best base period for NINO3.4 sea surface temperature anomalies. Trenberth writes:

Figure 1 shows the five month running mean SST time series for the Niño 3 and 3.4 regions relative to a base period climatology of 1950-1979 given in Table 1. The base period can make a difference. This standard 30 year base period is chosen as it is representative of the record this century, whereas the period after 1979 has been biased warm and dominated by El Niño events (Trenberth and Hoar 1996a). Mean temperatures are higher in the Niño 3.4 region than in Niño 3 and its proximity to the Pacific warm pool and main centers of convection is the reason for the physical importance of Niño 3.4.

We’ll use 1950 to 1979 as the base period for anomalies for our NINO3.4 sea surface temperature anomalies.

Figure 7-11 is the running total of HADISST NINO3.4 sea surface temperature anomalies, starting in January 1900 and ending in May 2012. It does not return to zero. However, it really looks like the global temperature anomaly curve.

The similarity between the curve of the running total of HADISST-based NINO3.4 sea surface temperature anomalies and a global temperature anomaly curve is remarkable. Unfortunately, it only works with HADISST-based NINO3.4 data. A running total of NINO3.4 data based on the ERSST.v3b or Kaplan datasets bears no similarities to the global temperature curve. Also, it only works with the base years of 1950-1979. That is, if you were to shift the base years so that they were weighted more toward El Niño events, like the period of 1971 to 2000, you’d wind up with a long-term running-mean curve that looks completely different. That makes the curve illustrated in Figure 7-11 a curiosity. Nothing more—just a curiosity, because I can’t justify the use of the base years of 1950-1979. It should definitely make you think, though.

That running total was one of the things that sparked my interest in ENSO. I discovered that curious running-total effect in April 2008, and presented it in a post titled Is There A Cumulative ENSO Climate Forcing? (ENSO isn’t a forcing, but that’s neither here nor there.) If you were to include the effects of volcanic aerosols and solar variability, the fit becomes even better. I presented that in a post titled Reproducing Global Temperature Anomalies With Natural Variables.

Regardless, ENSO has been skewed toward El Niño in recent decades. It has been skewed toward La Niña as well—the period from the 1940s to the mid-1970s for example. This is well known. We’ve shown the “skewness” in the preceding chapter using period average sea surface temperatures for the NINO3.4 region.

The myth that “El Niño and La Niña events balance out to zero over the long term” is simply another very obvious attempt to neutralize El Niño and La Niña. It’s a comical attempt that failed.

***

The illustration from a previous chapter I was referring to above was Figure 7-7 from Chapter 7.1 Myth – ENSO Has No Trend and Cannot Contribute to Long-Term Warming.

I’ll present that chapter next.  (Hmm.  Just noticed a typo.  In the book, the illustration is identifed as Figure 5-7.  I’ve corrected it here.)

SOURCES

The sea surface temperature data for Figure 7-10 was downloaded from the NOAA NOMADS website. NOAA uses 1971-2000 as base years. The dataset used in the other graphs is HADISST. It’s available through the KNMI Climate Explorer. There I’ve used the base years of 1950-1979 per the discussion above.

THE REST OF THIS SERIES

The remainder of this series of posts will be taken from the following myths and failed arguments. They’re from Section 7 of my book Who Turned on the Heat? I may select them out of the order they’ve been presented here, and I’ll try to remember to include links to the other posts in these lists as the new posts are published.

ALREADY PUBLISHED

1. El Niño-Southern Oscillation Myth 1: El Niño and La Niña Events are Cyclical. Refer also to the cross post at WattsUpWithThat for comments.

UPCOMING

Myth – ENSO Has No Trend and Cannot Contribute to Long-Term Warming

Myth – The Effects of La Niña Events on Global Surface Temperatures Oppose those of El Niño Events

Failed Argument – El Niño Events Don’t Create Heat

Myth – El Niño Events Dominated the Recent Warming Period Because of Greenhouse Gases

Myth – ENSO Only Adds Noise to the Instrument Temperature Record and We Can Determine its Effects through Linear Regression Analysis, Then Remove Those Effects, Leaving the Anthropogenic Global Warming Signal

Myth – The Warm Water Available for El Niño Events Can Only be Explained by Anthropogenic Greenhouse Gas Forcing

Myth – The Frequency and Strength of El Niño and La Niña Events are Dictated by the Pacific Decadal Oscillation

And I’ll include a few of the failed arguments that have been presented in defense of anthropogenic warming of the global oceans.

Failed Argument – The East Indian-West Pacific and East Pacific Sea Surface Temperature Datasets are Inversely Related. That Is, There’s a Seesaw Effect. One Warms, the Other Cools. They Counteract One Another.

INTERESTED IN LEARNING MORE ABOUT EL NIÑO AND LA NIÑA AND THEIR LONG-TERM EFFECTS ON GLOBAL SEA SURFACE TEMPERATURES?

Why should you be interested? Sea surface temperature records indicate El Niño and La Niña events are responsible for the warming of global sea surface temperature anomalies over the past 30 years, not manmade greenhouse gases. I’ve searched sea surface temperature records for more than 4 years, and I can find no evidence of an anthropogenic greenhouse gas signal. That is, the warming of the global oceans has been caused by Mother Nature, not anthropogenic greenhouse gases.

I’ve recently published my e-book (pdf) about the phenomena called El Niño and La Niña. It’s titled Who Turned on the Heat? with the subtitle The Unsuspected Global Warming Culprit, El Niño Southern Oscillation. It is intended for persons (with or without technical backgrounds) interested in learning about El Niño and La Niña events and in understanding the natural causes of the warming of our global oceans for the past 30 years. Because land surface air temperatures simply exaggerate the natural warming of the global oceans over annual and multidecadal time periods, the vast majority of the warming taking place on land is natural as well. The book is the product of years of research of the satellite-era sea surface temperature data that’s available to the public via the internet. It presents how the data accounts for its warming—and there are no indications the warming was caused by manmade greenhouse gases. None at all.

Who Turned on the Heat?was introduced in the blog post Everything You Every Wanted to Know about El Niño and La Niña… …Well Just about Everything. The Updated Free Preview includes the Table of Contents; the Introduction; the beginning of Section 1, with the cartoon-like illustrations; the discussion About the Cover; and the Closing. The book was updated recently to correct a few typos.

Please buy a copy. (Credit/Debit Card through PayPal. You do NOT need to open a PayPal account. Simply scroll down past where they ask you to open one.). It’s only US$8.00.

VIDEOS

For those who’d like a more detailed preview of Who Turned on the Heat? see Part 1 and Part 2 of the video series The Natural Warming of the Global Oceans. Part 1 appeared in the 24-hour WattsUpWithThat TV (WUWT-TV) special in November 2012. You may also be interested in the video Dear President Obama: A Video Memo about Climate Change.

Get notified when a new post is published.
Subscribe today!
0 0 votes
Article Rating
121 Comments
Inline Feedbacks
View all comments
December 11, 2012 10:12 am

I bought Bob Tisdale’s book and the ressemblance of this post : striking!

Steveta_uk
December 11, 2012 10:20 am

Perhaps the only issue is the definition of “long term”.
Perhaps if we had a few thousand years of ENSO records, it would “Balances Out to Zero over the Long Term”.

Tom in Indy
December 11, 2012 10:54 am

Steveta_uk says: December 11, 2012 at 10:20 am
If that’s true, then the current warming trend will soon reverse and become a cooling trend. That means we reach the same conclusion as Bob. The current warming trend that has been attributed to CO2 is natural instead.

FrankK
December 11, 2012 11:06 am

Bob and All,
I bought the book and its a fascinating read. It takes more than one sitting to finish it but well worth the effort. Thanks Bob.

Editor
December 11, 2012 11:14 am

A piece of a comment of mine in Tips & Notes is happy here. The ENSO figure picked up Monday morning displays as zero on the ENSO meter on the right side nav bar.
From http://wattsupwiththat.com/tips-and-notes/#comment-1169382 :
data from 00Z26SEP2012 to 00Z10DEC2012
“———-”
0.266848
0.214593
0.221214
0.38753
0.633406
0.500188
0.493784
0.656908
0.406625
0.276114
0.0417955

HM
December 11, 2012 11:18 am

Just a question from an ignoramus, re Fig 7-10 and 7-11: How do we know that El Niño 3.4 anomalies do not reflect the combined effect of ENSO plus general trends in SST? Are El Niño anomalies net of general trends in SST? If the seas were generally warming (naturally or due to human factors), the region of the Pacific Ocean covered by the El Niño 3.4 anomalies would show a rising temperature trend even if ENSO’s ups and downs cancel out.

December 11, 2012 11:20 am

@- Steveta_uk
“Perhaps if we had a few thousand years of ENSO records, it would “Balances Out to Zero over the Long Term”.”
We do.
http://www.ncdc.noaa.gov/paleo/recons.html
About halfway down the page. Most are for the last ~500 years but a couple are for over a thousand.
Of course these are proxy records, based on SST from corals and rainfall patterns from sediments. If you want to throw out proxy records you also have to abandon any evidence for the MWP, Roman or Minoan warm period and in fact any evidence for ice-ages or climate variation before the instrumental era.
Most scientists accept proxy data, with the known limitations of resolution and showing variation or anomalies from an indeterminate absolute value. But that still enables useful science to be done. for instance the relationship between the PDO and ENSO is observable in the longer paleoclimate record.
http://www.agu.org/journals/abs/2006/2005GL025052.shtml
“…. phase changes in the PDO have a propensity to coincide with changes in the relative frequency of ENSO events, where the positive phase of the PDO is associated with an enhanced frequency of El Niño events, while the negative phase is shown to be more favourable for the development of La Niña events. “

jorgekafkazar
December 11, 2012 11:25 am

Steveta_uk says: “Perhaps the only issue is the definition of “long term”. Perhaps if we had a few thousand years of ENSO records, it would “Balances Out to Zero over the Long Term”.”
Only “zero” might not be zero. And we don’t know where zero is. The completely different mechanisms for El Nino and La Nina result in an unpredictable and aperiodic oscillation. ENSO is like an enclosed grandfather’s clock with a mouse running up and down the pendulum. Only the mouse knows where zero lies, and he’s not telling.

Bob Shapiro
December 11, 2012 11:39 am

Hi Bob,
I’m not convinced of the value of a running total of any anomaly series.
Depending on the base taken, the individual anomalies will differ by a constant. If we then take running totals for different base values, they will differ by a straight line. So, if we choose a base value that is 1 lower than the previous base, the 1st anomaly running sum value will be 1 higher, the 2nd will be 2 higher, the 100th value will be 100 higher, etc.
There is a single value of the base which can cause the running sum to zero out. All other values will show either a rising trend or a falling trend, by this is just an artifact. BTW, choosing a zeroing base for your graph shouldn’t change the shape; all it should do is reorient it downward.
This is not my area of expertise, so I could be wrong – but I don’t think so.

john robertson
December 11, 2012 11:43 am

Izen11:20 We need proxies for the Medieval and Roman periods?
Human history is not good enough for climatology?
Your buddies on the team didn’t do so good with their proxies, when they diapered both.

john robertson
December 11, 2012 11:44 am

Disappeared.Mind you maybe the baby reference fits.

Editor
December 11, 2012 12:18 pm

HM says: “Just a question from an ignoramus, re Fig 7-10 and 7-11: How do we know that El Niño 3.4 anomalies do not reflect the combined effect of ENSO plus general trends in SST?”
Good question. Because the NINO3.4 sea surface temperature anomalies that serve as the basis for Figure 7-10 do not have a warming trend:
http://i46.tinypic.com/2a79xra.jpg
And the HADISST SST-based NINO3.4 data that serves as the basis for Figure 7-11 has not warmed since 1900:
http://i48.tinypic.com/10ef0vd.jpg

Editor
December 11, 2012 12:24 pm

Steveta_uk says: “Perhaps if we had a few thousand years of ENSO records, it would ‘Balances Out to Zero over the Long Term’.”
I deal primarily with the satellite era, the last 30 years. If the manmade global warming hypothesis does not work during that period, and it does not, then there’s no reason to believe it works in others.

GW
December 11, 2012 12:45 pm

So Bob,
Would you be willing to speculate that the Little Ice Age may have been induced by a multicentury period dominated by La Nina’s, and the gradual warming since the end of the LIA has been brought about by a greater frequency of El Nino’s ? Have you examined the data (proxy) for tropical SST’s from those centuries, and does it support (or not) such speculation ?
GW

Editor
December 11, 2012 12:53 pm

Bob Shapiro says: “There is a single value of the base which can cause the running sum to zero out.”
As I mentioned in the post, the resulting curve of the running total is dependent on the base years. Typically, a 30-year term is selected as base years for anomalies, so for a NINO3.4 dataset starting in 1900, you’ve got 80+ choices for 30-year windows.
However, to achieve a curve that returns to zero, all you have to do is neuter El Niño and La Niña. You can do that by using the entire term of the data as the base years for anomalies. But why would you attempt to neuter El Niño and La Niña events? Have El Niño events been stronger since 1976? Yup. Even Trenberth acknowledges that in the paper linked above. He selected 1950-1979 as the 30-year period for base years, because the stronger El Niños since 1976 biased the data.

RobertInAz
December 11, 2012 12:55 pm

Hi Bob,
Just to reiterate I love your work.
1). To clarify, I assume that the notion of balancing means that the heat added to the Pacific during a La Niña is balanced by the heat released by the Pacific during an El Niño
If balance means something else in this context, then nothing below is relevant.
2) I think I am agreeing with Bob Shapiro at 11:39 am in that the running total of temperature in the Nino3.4 box does not tell us anything about heat update and release in the corresponding events.
Indeed, I think the notion that the events balance does not further the alarmist cause. They would want La Niña to dominate with the excess (aka missing) heat disappearing into the depths of the pacific ocean. And a measurable portion of the of that heat is due to down welling IR (I know, you address this in your book).
I think the response to the balanced argument is more nuanced and you lay an excellent foundation in your book:
– There is no physical basis that causes them to be balanced.
– You show the migration of accumulated heat following a La Niña to be complex and not remaining in the Pacific.
– I cannot think of a way to set up a boundary for energy flows over which the notion of La Niña and El Niño being balanced makes sense. I suppose one could take the Pacific as a whole and define balance to include all atmospheric and oceanic energy flows and allocate all ENSO neutral conditions to an adjacent La Niña or El Niño but now I have established a tautology.

X Anomaly
December 11, 2012 12:55 pm

“ERSST.v3b or Kaplan datasets bears no similarities to the global temperature curve. Also, it only works with the base years of 1950-1979.”
WHY!!!
Can you play around with the base years and make those other datasets work, surely the difference lies in the base years as you have alluded to? Or maybe just make them more “positive” so the sums go sky ward?
ps. Bob, did you just falsify man made global warming? lol !!
A scatter plot with temp correlation would be nice…. The human eye often tricks you into what you want….I’m guessing while it looks good, the relationship is probably not so good?

RobertInAz
December 11, 2012 12:59 pm

…..that the running total of temperature anomalies in the Nino3.4 box does not tell us anything about heat update and release in the corresponding events.
I think the same is true for the original form of the statement – but I want you to know that I understood the figure.

Editor
December 11, 2012 1:04 pm

GW says: “Would you be willing to speculate that the Little Ice Age…”
I don’t speculate. I report on data. My posts deal primarily with the last 30 years of sea surface temperature data—the satellite era. Paleoclimatological data is make-believe data.
Here’s a comparison graph of NINO3 sea surface temperatures from Cook (2003) and Mann (2000), both datasets found on the NOAA paleoclimatological webpage. Both datasets were smoothed with 31-year filters:
http://i46.tinypic.com/2n1szl.jpg
There are no similarities between the two reconstructions. They would have no value in a study of the impacts of ENSO on global temperatures.

Editor
December 11, 2012 1:10 pm

Ric Werme says: “A piece of a comment of mine in Tips & Notes is happy here. The ENSO figure picked up Monday morning displays as zero on the ENSO meter on the right side nav bar.”
And you may be interested in the full November 2012 sea surface temperature update:
http://bobtisdale.wordpress.com/2012/12/10/november-2012-sea-surface-temperature-sst-anomaly-update/

Deco79
December 11, 2012 1:13 pm

I have a hypothesis. My hypothesis seems to only hold true for one part of one ocean from one set of data narrowed down to one time series. I see this could be a problem. Having to ignore vast swathes of other measurements with poor or even no justification doesn’t help it either. Reading back over my work I realise I have suggested that my special interest area is THE ONLY influence on SSTs by saying, “If, over the long term, El Niño and La Niña events balanced out to zero, then a running total of NINO3.4 sea surface temperature anomalies would equal zero”. Again I realise I have left out any justification for this and it further makes me question my hypothesis and objectivity. Then I look at my graphs and realise my hypothesis violates the 1st Law of Thermodynamics which tells me that I must minus the work done on the atmosphere and land by the ocean from the OHC. They cannot ALL warm. Now I’m thinking my hypothesis must be wrong and leads me to think that there has to be an energy imbalance in there somewhere. I jump on google scholar and after a few seconds I can see hundreds of papers with satellite measurements showing this imbalance I just hypothesised does exist. I re-evaluate my hypothesis to include this ‘new’ information.

December 11, 2012 1:24 pm

jorgekafkazar writes “ENSO is like an enclosed grandfather’s clock with a mouse running up and down the pendulum. Only the mouse knows where zero lies, and he’s not telling.”
Nice analogy. Yes, its far more likely that ENSO is a non-balanced process itself and “the rest” of the atmospheric and oceanic processes do “the rest” of the balancing.

Duster
December 11, 2012 1:30 pm

Bob Tisdale says:
December 11, 2012 at 1:04 pm
***. Paleoclimatological data is make-believe data. ***

The data is real enough. The interpretations are where the make believe begins to appear. Though when you start to look at “corrections” and “adjustments” that modern data is being subjected to, I would begin to worry about “post-normal” data processing.

Editor
December 11, 2012 1:32 pm

Deco79 says: “I have a hypothesis. My hypothesis seems to only hold true for one part of one ocean from one set of data narrowed down to one time series.”
We do not know what YOUR hypothesis is. What’s your point?

Editor
December 11, 2012 1:37 pm

X Anomaly: “Bob, did you just falsify man made global warming? lol !!”
Did you miss the intent of the post? Did you read the post? Did you understand the post? Apparently not is the answer for all three questions.

1 2 3 5