Plot below showing ONI -vs- Aqua Channel 5 Temperature from lukewarmplanet (not Tisdale) to illustrate what he is talking about in his upcoming book. – Anthony

Comments on NOAA’s Recent Changes to the Oceanic NINO Index (ONI)
Guest post by Bob Tisdale
As many of you are aware, I’m writing another book. The working title is The Ignored Driver of Global Climate: El Niño- Southern Oscillation. I’m about two-thirds of the way done, I believe. There’s lots of new illustrations (so far about 70% are new), and they should help those who are having trouble understanding the processes of El Niño-Southern Oscillation (ENSO).
I’ve just finished a discussion of NOAA’s recent changes to their Oceanic NINO Index, also known as ONI, in the chapter about ENSO Indices. I believe you’ll find it interesting. (I’ve left the illustration numbers as they presently exist in the book draft.)
NOAA’s Climate Prediction Center (CPC) recently modified their Oceanic NINO Index (ONI). Refer to their Description of Changes to Oceanic NINO Index webpage for a complete write-up. There they note in the opening paragraph:
Due to a significant warming trend in the Niño-3.4 region since 1950, El Niño and La Niña episodes that are defined by a single fixed 30-year base period (e.g. 1971-2000) are increasingly incorporating longer-term trends that do not reflect interannual ENSO variability. In order to remove this warming trend, CPC is adopting a new strategy to update the base period.
NOAA does not attribute the “significant warming trend” to anthropogenic greenhouse gases, but anytime that phrase is used it implies manmade warming to many persons. Unfortunately, what NOAA has actually done with their changes is minimize the impact of the 1976 Pacific Climate Shift on NINO3.4 sea surface temperature anomalies.
I cannot fathom why they would do that when the 1976 Climate Shift is the subject of numerous scientific studies. Google scholar has 176 returns for “1976 climate shift”, in quotes. It is an accepted, well-documented phenomenon.
The Oceanic NINO Index is based on the NOAA ERSST.v3b sea surface temperature dataset. Yup, that’s the dataset that NOAA introduced in 2008 with bias-corrected satellite data and then quickly modified, removing the satellite-based data, when “users” at NOAA discovered that the satellite data made global sea surface temperatures in 1998 warmer than 2003 by a couple hundredths of a deg C. Refer to the discussion of Figure 2-23 in Chapter 2.
Figure 4-21 illustrates the ERSST.v3b-based NINO3.4 sea surface temperature anomalies, on which the Oceanic NINO Index data is based. The data does in fact have a positive linear trend of slightly less than 0.06 Deg C per decade. Note that I’ve highlighted 1976 to point out the Climate Shift.
So let’s look at the data before and after the climate shift.
The ERSST.v3b-based period average sea surface temperature anomalies for the NINO3.4 region from January 1950 to December 1975 and from January 1977 to May 2012 are shown in Figure 4-22. The average sea surface temperature anomalies after the 1976 Pacific Climate Shift are about 0.3 deg C higher than they were before it. By the way, that shift impacted the entire Eastern Pacific Ocean, not just the eastern equatorial Pacific.
And of course the linear trends before and after the climate shift are negative, Figure 4-23, and that implies the climate shift is responsible for a good portion of the overall positive linear trend from 1950 to present.
To “remove” the “significant warming trend” caused in part by the 1976 climate shift in the sea surface temperatures of the NINO3.4 region, NOAA no longer uses a single set of base years (1971-2000) for the anomalies in their Oceanic NINO index. They now use a series of shifting base years. They explain:
ONI values during 1950-1955 will be based on the 1936-1965 base period, ONI values during 1956-1960 will be based on the 1941-1970 base period, and so on and so forth.
The result: NOAA has eliminated the positive trend in what used to be sea surface temperature anomalies of the NINO3.4 region. See Figure 4-24. One can’t even call them sea surface temperature anomalies anymore with the sliding base years. But for now, we’ll treat them as anomalies.
With the changes, NOAA has minimized the difference in the period-average NINO3.4 sea surface temperature “anomalies” before and after the 1976 shift. Based on the “raw” ERSST.v3b data, the climate shift caused NINO3.4 sea surface temperature anomalies to shift up 0.3 deg C, but the “corrections” dropped the shift to about 0.04 deg C, as shown in Figure 2-25.
And the changes to the way NOAA calculates sea surface temperature “anomalies” for the Oceanic NINO Index has resulted in more severe negative trends before and after the climate shift. See Figure 4-26.
I won’t speculate about why NOAA would want to minimize the effect of the 1976 Pacific Climate Shift. The reason given for the changes seems odd at best. Consider this though: There are scientific studies where the authors remove the linear effects of ENSO on global surface temperatures by simply scaling and subtracting an ENSO index from global surface temperatures. The authors then mistakenly claim the remaining trend in global surface temperatures is the result of anthropogenic global warming. This faulty method of determining the effects of ENSO on global surface temperature is discussed further in Section 6. Now, because NOAA has flattened the Oceanic NINO index trend, if someone were to use it in one of those misleading scientific studies, the remaining trend in global surface temperature residuals would be a little bit higher than if they had used a sea surface temperature anomaly-based ENSO index.
In summary, because the Oceanic NINO index no longer represents the sea surface temperature anomalies of the NINO3.4 region using a single base period, and because NOAA has minimized the impact of the 1976 Pacific Climate Shift in it, and because that climate shift exists in all sea surface temperature datasets, I, personally, would not use Oceanic NINO index as an ENSO index. Then again, I don’t believe NOAA cares one way or the other if I use their Oceanic NINO index.
INTERESTED IN LEARNING MORE ABOUT THE EL NIÑO-SOUTHERN OSCILLATION AND DON’T WANT TO WAIT FOR MY NEW BOOK?
About one-quarter of my book If the IPCC was Selling Manmade Global Warming as a Product, Would the FTC Stop their deceptive Ads?, Section 6, is about the processes that are part of El Niño and La Niña events. Many of the discussions are rewordings (expansions and simplifications) of my posts here at Climate Observations, so you could save a few bucks and read dozens of posts. But the book provides a single resource and reference for you and includes a very basic, well-illustrated introduction to El Niño, La Niña, and ENSO-neutral conditions written in simple terms. Included in that section are discussions of how La Niña events are not the opposite of El Niño events and how and why certain parts of the global oceans warm in response to certain El Niño AND to the La Niña events that follow them. The El Niño-Southern Oscillation is a marvelous process Mother Nature has devised to enhance or slow the distribution of heat from the tropics to the poles. It is process that naturally varies in intensity, and due to those variations, it is capable of warming or cooling global temperatures over multiyear and multidecadal periods. The individual chapter titles of Section 6 will give you an idea of the topics discussed. See pages 9 and 10 of the introduction, table of contents, and closing of my book in pdf form here.
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ATTN: bob T.
You should check:
The English translation of “Cyclic Climate Changes and Fish Productivity by L.B. Klyashtorin and A.A. Lyubushin which can be downloaded for free thru this link:
http://alexeylyubushin.narod.ru/Climate_Changes__and_Fish_Productivity.pdf?
NB: This mongraph is 224 pages and is not about climate science. The Russian edition was published in 2005. The English translation was published in 2007 and was edited by Gary Sharp, Center for Climate/Ocean Resources Study.
By analyzing numerous time series of empircal data (e.g., temperature records, sediment cores, fish catches, etc), they found that the earth has several global climate cycles with periodicities of 50-70 years and that the average of these cycles is about 60 years which has a cool and warm phase of 30 years each.
The last warm phase began in ca 1970-75 and ended in ca 2000. The global warming from ca 1975 was due in part to this warm phase. A cool phase started in 2000 and their stocastic model predicts that it will last until 2030.
NB: You should bookmark this page. This is _the_ one-stop-shop-until drop store for global warming and climate change info.
The monograph was preceded by: “Climate change and long-term fluctions of commercial catches: the possibilities of forecasting.” by L.B Klyashtorin, FOA Fisheries Technical Paper. No. 410, Rome, FOA, 2001, 86p.
Note the date of publication. Was this report and the mongraph forwarded to the IPCC and cited in AR4?
“On the Coherence between Dymanics of World Fuel Consumption and Global Temperature Anomaly” by L.B. Klyashtorin & A.A. Lyubushin, Energy & Enviroment, Volume 14 No.6 2003.
Briefly, they found no correlation between rising world fuel consumption and the global temperature anomaly over the interval 1961-2000.
The Russian have demolished the IPCC years ago. When their works become more well-known, the People will storm the UN and universities, capture the bureaucrats (i.e, con men) at the IPPC and climate scientists (i.e, the white-coated wiseguys) at the universities, douse’em with sweet Diesel and burn them all at the stake!.
ATTN: All
RE: “NB: You should bookmark this page. This is _the_ one-stop-shop-until drop store for global warming and climate change info,” in previous post
This refers to Alan Cheetam’s ” Global Warming Science at:
http://www.appinsys.com/globalwarming.
He does an analysis and shows the earth has a general 60 year climate cycle.
I forgot to mention that the Russians don’t speculate as to the cause of the 60 year climate cycle.
Several years ago my only source of market information was the BBC World Service. Almost every day, it would tell me that sterling was down a touch against the euro. This was at a time when the pound was rising against the euro. Eventually I realised that the pound was being compared to its peak during the trading day, and therefore would almost always be lower in spite of the fact that over longer periods It was higher. What is the use of an index which misinforms?
rabbit says:
June 5, 2012 at 12:31 pm
“The Ignored Driver of Global Climate: El Niño- Southern Oscillation”
That’s a little clunky even for a working title.
How about a simple inversion:
“El Niño- Southern Oscillation: The Ignored Driver of Global Climate”
or alternatively
“el Nino and La Nina: climate for boys and girls”.
ferd berple says:
June 5, 2012 at 9:09 pm
A tax on CO2 is first and foremost a tax on coal.
— — —
British Columbia, Canada has a Carbon (CO2) tax but uses little to no coal for energy use. Natural gas to warm our homes and gasoline to move our vehicles are the primary taxed fossil fuels. Our electricity comes from hydro dams and sometimes from natural gas.
Dang, going off topic again. I’m making amends by studying this post more intensely than I otherwise would, and other related topics that are your specialty Bob.
p.s.
The Burrard Generating Station is a 950 MW conventional natural gas-fired generating station. It plays an important role to provide back-up for the hydroelectric system during low water years, and also to provide transmission support and electrical supply security for the Lower Mainland (i.e. it provides supplementary power at peak demand periods and during interruptions in the grid). It may also be run steadily during periods when natural gas prices are relatively low, in order to save water storage at the dams for when electricity prices are higher.
ONI values during 1950-1955 will be based on the 1936-1965 base period, ONI values during 1956-1960 will be based on the 1941-1970 base period, and so on and so forth.
So…. forth …
ONI values during 2000-2005 are now based on the 1986 – 2015 base period.
And current ONI values are based on the 1996-2025 base period.
I see they got their shipment of the new crystal balls…
Bob Tisdale says: “I extended the El Nino Modoki Index from Ashok et al (2007) back to 1870 (the start of the HADISST dataset) and compared the results to NINO3.4 SST anomalies here:”
Thank you.
“I haven’t analyzed it.”
That’s okay, I just ask these questions whenever the subject of ENSO comes up, hoping someone will have an answer. So far, nobody has. Maybe the secret is in the Modoki Index! I’ll check.
Water temperatures are what they are. ENSO is not a water temperature. It is an oscillation in atmospheric currents. These oscillations are not directly dependent on changes in water temperatures. The relationship is relative.
For example: in warmer times, a temperature of ‘x’ in the Nino 3.4 region may be an indication that an El Nino is in progress. In cooler times, x minus 0.5 or x minus 1 could be an indication of an El Nino identical in strength to the one that produced the ‘x’ in warmer times.
The ONI is an index designed to identify ENSO strength. The strength of the ENSO phase is not a direct function of the Nino 3.4 water temperature, but, in part, a function of the Nino 3.4 water temperature relative to the rest of the environment.
Since the purpose of the index is to identify the strength of the ENSO event to help predict possible weather conditions in the seasons ahead, I can understand the need to adjust the baseline temperatures of the Nino 3.4 region. Without the adjustment, the strength of an El Nino or La Nino would be reported incorrectly, resulting in a less accurate seasonal forecast.
The index, with its floating baseline for Nino 3.4 temperatures, is not designed for global climate study and can not be used as a factor in determining changes in global temperature. Theoretically, the index would not even show a transition to the next ice age. It is up to those studying climate change to realize that they need to use the actual data and not the index to make any climate calculations.
Good article Bob,
you could illustrate the point even better by doing the same thing to global mean temps. If we use a similar shifting baseline we should be able to get rid of 1970-1998 warming trend and we can all forget about climate.
Seriously, doing that would point out how stupid and pointless any record of “anomalies” is when measured against a shifting baseline.
From Bob Tisdale on June 6, 2012 at 1:56 am:
(excerpts out of order)
Somewhat more important than that. From the Abstract of the original Thermostat Hypothesis post (also a peer reviewed published paper):
Thus it describes a truly global method of temperature regulation for the entire planet. ENSO operates in the Pacific tropics with effects that extend globally.
It influences where and when. If an area of water is too cold, the second phase of heat dumping to space by thunderstorm might not occur. In any case, there is enough solar radiation available to roast the Earth if clouds didn’t reflect about a third of it. ENSO would have to be causing some very cold water to prevent the first stage of sun-shielding cumulus cloud formation.
But the thunderstorms are self-generating and, more importantly, self-sustaining. Once they take off, the trade winds and their effect on the evaporation rate are hardly significant.
Ah heck with it. Let’s just write this off as a difference of perspective.
RE: Book title
Bob, how about just shortening it a bit: “Driving Global Climate: The El Nino Southern Oscillation”
Jim Clarke says: “Since the purpose of the index is to identify the strength of the ENSO event to help predict possible weather conditions in the seasons ahead, I can understand the need to adjust the baseline temperatures of the Nino 3.4 region. Without the adjustment, the strength of an El Nino or La Nino would be reported incorrectly, resulting in a less accurate seasonal forecast.”
What is the evidence that the seasonal weather forecast skill is improved by doing this? What is the evidence that the relative strength of ENSO events (compared to a temporally “local” baseline) is a better weather predictor than absolute ENSO magnitude?
kadaka (KD Knoebel) says: “Let’s just write this off as a difference of perspective.”
Bingo.
Jim Clarke says: “Water temperatures are what they are. ENSO is not a water temperature. It is an oscillation in atmospheric currents. These oscillations are not directly dependent on changes in water temperatures. The relationship is relative.”
ENSO is a coupled ocean-atmosphere process. Sea surface temperatures, convection, trade wind strength, etc., are inter-reliant.
Jim Clarke says: “For example: in warmer times, a temperature of ‘x’ in the Nino 3.4 region may be an indication that an El Nino is in progress. In cooler times, x minus 0.5 or x minus 1 could be an indication of an El Nino identical in strength to the one that produced the ‘x’ in warmer times.”
There is no global warming signal (“warmer times”) along the eastern equatorial Pacific, where the NINO3.4 sea surface temperature anomalies are determined for ONI:
http://i56.tinypic.com/2ag0u2u.jpg
Sea surface temperatures there are primarily determined by the upwelled subsurface waters, with an occasional El Niño to raise them. Consider also, the entire Eastern Pacific Ocean, from pole to pole, has not warmed in 30 years.
http://bobtisdale.files.wordpress.com/2012/05/3-east-pacific.png
Jim Clarke says: “The ONI is an index designed to identify ENSO strength.”
The heading of the ONI webpage disagrees with you. It reads “Cold & Warm Episodes By Season”. Strength is not mentioned on that webpage.
Regards
Harold Pierce Jr: Thanks for the links. The basic time period of my research is the satellite era.
No, don’t mealy-mouth it. Logically, it means the shift is responsible for ALL of the positive trend.
Funny thing these NASA-GISS/NCDC/NOAA (etc!) so-called “science” agencies and writers have about “flat-line” averages (that they “require” be steady across time – regardless of whatever they are pretending to measure) … Made only worse by their equal “requirement” that – if there is a change that they can plot or extrapolate – that linear trend “must” remain in place for the next 1000 years.
Or else, their Greenland ice cap will never melt.
Malaria can’t continue to increase.
Global temperatures cannot continue to expand the next 500 years the way they did for a brief period between 1973 and 1998.
The Arctic Ocean cannot boil away.
The hurricanes cannot keep increasing.