Guest essay by Eric Worrall
NASA researcher Mark Richardson has completed a study which compares historical observations with climate model output, and has concluded that historical observations have to be adjusted, to reconcile them with the climate models.
The JPL Press Release;
A new NASA-led study finds that almost one-fifth of the global warming that has occurred in the past 150 years has been missed by historical records due to quirks in how global temperatures were recorded. The study explains why projections of future climate based solely on historical records estimate lower rates of warming than predictions from climate models.
The study applied the quirks in the historical records to climate model output and then performed the same calculations on both the models and the observations to make the first true apples-to-apples comparison of warming rates. With this modification, the models and observations largely agree on expected near-term global warming. The results were published in the journal Nature Climate Change. Mark Richardson of NASA’s Jet Propulsion Laboratory, Pasadena, California, is the lead author.
The Arctic is warming faster than the rest of Earth, but there are fewer historic temperature readings from there than from lower latitudes because it is so inaccessible. A data set with fewer Arctic temperature measurements naturally shows less warming than a climate model that fully represents the Arctic.
Because it isn’t possible to add more measurements from the past, the researchers instead set up the climate models to mimic the limited coverage in the historical records.
The new study also accounted for two other issues. First, the historical data mix air and water temperatures, whereas model results refer to air temperatures only. This quirk also skews the historical record toward the cool side, because water warms less than air. The final issue is that there was considerably more Arctic sea ice when temperature records began in the 1860s, and early observers recorded air temperatures over nearby land areas for the sea-ice-covered regions. As the ice melted, later observers switched to water temperatures instead. That also pushed down the reported temperature change.
Scientists have known about these quirks for some time, but this is the first study to calculate their impact. “They’re quite small on their own, but they add up in the same direction,” Richardson said. “We were surprised that they added up to such a big effect.”
These quirks hide around 19 percent of global air-temperature warming since the 1860s. That’s enough that calculations generated from historical records alone were cooler than about 90 percent of the results from the climate models that the Intergovernmental Panel on Climate Change (IPCC) uses for its authoritative assessment reports. In the apples-to-apples comparison, the historical temperature calculation was close to the middle of the range of calculations from the IPCC’s suite of models.
Any research that compares modeled and observed long-term temperature records could suffer from the same problems, Richardson said. “Researchers should be clear about how they use temperature records, to make sure that comparisons are fair. It had seemed like real-world data hinted that future global warming would be a bit less than models said. This mostly disappears in a fair comparison.”
NASA uses the vantage point of space to increase our understanding of our home planet, improve lives and safeguard our future. NASA develops new ways to observe and study Earth’s interconnected natural systems with long-term data records. The agency freely shares this unique knowledge and works with institutions around the world to gain new insights into how our planet is changing.
For more information about NASA’s Earth science activities, visit:
Read more: http://www.jpl.nasa.gov/news/news.php?feature=6576
The abstract of the study;
Reconciled climate response estimates from climate models and the energy budget of Earth
Climate risks increase with mean global temperature, so knowledge about the amount of future global warming should better inform risk assessments for policymakers. Expected near-term warming is encapsulated by the transient climate response (TCR), formally defined as the warming following 70 years of 1% per year increases in atmospheric CO2 concentration, by which point atmospheric CO2 has doubled. Studies based on Earth’s historical energy budget have typically estimated lower values of TCR than climate models, suggesting that some models could overestimate future warming2. However, energy-budget estimates rely on historical temperature records that are geographically incomplete and blend air temperatures over land and sea ice with water temperatures over open oceans. We show that there is no evidence that climate models overestimate TCR when their output is processed in the same way as the HadCRUT4 observation-based temperature record3, 4. Models suggest that air-temperature warming is 24% greater than observed by HadCRUT4 over 1861–2009 because slower-warming regions are preferentially sampled and water warms less than air5. Correcting for these biases and accounting for wider uncertainties in radiative forcing based on recent evidence, we infer an observation-based best estimate for TCR of 1.66 °C, with a 5–95% range of 1.0–3.3 °C, consistent with the climate models considered in the IPCC 5th Assessment Report.
Read more (paywalled): http://www.nature.com/nclimate/journal/vaop/ncurrent/full/nclimate3066.html
Frankly I don’t know why the NASA team persist with trying to justify their increasingly ridiculous adjustments to real world observations – they seem to be receiving all the information they think they need from their computer models.
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Let see if I can help.
One problem they have is that they use hadcrut
hadcrut does not use all the data that is available for the poles.
Remember HADCRUT uses anomalies. So they cannot use data that starts after 1990. ( Like CRN)
or like some of the data that is available for the interior of greenland.
Consequently Hadcrut misses some of the accelerated warming in the arctic.
BUT.. and here is what a smart skeptic would note..
EVEN IF you use a global series that does have better arctic coverage, the models STILL warm the poles too fast
http://static.berkeleyearth.org/graphics/figure52.pdf
Steven
?w=720
Next you will be telling us that skeptics photo shopped this picture.
There are other photos like this. You should add the date when this was taken though, as that’s important.
Catcracking
Mosh and his ilk are trying as hard as they can to push the warming in to a trend that matches the models, they can’t in any way have the warming in the 30s and 40s be as great as the warming now and allow the cooling in the 50s 60s and 70s so they want everyone to believe that they keep finding things that prove the warming happened later not earlier. Mosh will scream that all the raw adjustments actually make the trend cooler not warmer that is true but they also flatten out the warming in the 30s and 40s. I used to think that he was a credible source but the in the last year it has become more and more apparent that he is not and that he is agenda driven and fight to keep his pay check.
I think you guys missed the, for want of a better word or phrase, olive branch Steve partially extended:
Early in the comments, it was ask by Phillip Bratby why is JPL doing climate research, Dudey responded:
“JPL is a captive FFRDC (Federally Funded Research and Development Center) for NASA. See https://en.wikipedia.org/wiki/Federally_funded_research_and_development_centers”
OK, but that still asks the question, why is NASA (the National Aeronautics and Space Administration) doing climate research? Shouldn’t all of this be NOAA, the National OCEANIC and ATMOSPHERIC Administration? NOAA should be contracting NASA to build, launch and maintain the satellites, but the research should be headed by NOAA.
I know the answer, everyone wants a piece of the pie. But I just wanted to point out the obvious.
MikeH,
Not unlike the US Geological Survey, which now has a large contingency of biologists on its staff, studying polar bears and fish among other things. Despite the name, it is being turned into the US BS.
MikeH almost all of the federal alphabet soup of agencies do duplicate and triplicate and quadruple the work that should be done only once by once agency. How else can you get $19.3 trillion in debt?
Thank God the models are wrong. They’d all be out of work.
EXPLAINING THE TRICK
(yes, oranges are being compared to apples)
The claim is made that the past temperature data has certain flaws that lower global warming predictions. Then it is said if those flaws are applied against the models then suddenly the predictions of the models lower to match the predictions of the past temperature data.
(The conclusion being that only if you deliberately apply flaws to the models do they predict wrongly.)
The trick is that the models have totally different flaws than the supposed flaws in the temperature data.
They are actually making AN ARBITRARY GLOBAL CORRECTION (even though they claim to find their value in past temperature data) to the models that in no sense corrects for THE ENTIRELY DIFFERENT FLAWS THAT MAKE THE MODELS WORTHLESS
There is absolutely no proof here that the models are correct. There is plenty of proof that the people who wrote this paper are idiots.
And they are comparing oranges to apples. The flaws in the temperature data are oranges. The flaws in the models are apples. They can’t be used against one another.
Thank you, Eugene.
MOD — Would you replace what I wrote just above with this. What I wrote above, though not wrong, is a confused mess. Sometimes you can’t find the words. Below is a simpler explanation. If you can or can’t, thankyou. EWRG
EXPLAINING THE TRICK
The claim is made that the past temperature data has certain flaws that lower global warming predictions. Then it is said if those flaws are applied against the temperature data used in the models then suddenly the predictions of the models lower to match the predictions of the past flawed temperature data.
The conclusion drawn being that only if you deliberately apply flaws to the models do they predict wrongly.
The first trick is that the models have totally different flaws than the supposed flaws in the temperature data.
The models are assumed to be perfect and their flaws and failure to mimic reality are not addressed.
The second trick is that when you blow off the bullshit what the author’s are really saying is that the temperature data they use in their models is correct — and the measured real world temperature data is incorrect and must be altered to match the temperature data already being used in the models. In other words, real world data must be altered so that when it is plugged into the models it gives the modelers the answers they want. The models are perfect — it is the real world data that is wrong. (That, of course, is the main pillar of climate science — the real world data is wrong.)
There is absolutely no proof here that the models are correct. There is plenty of proof that the people who wrote this paper are grifters.
Eugene WR Gallun
“water warms less than air”
Don’t they mean that water warms less quickly than air? It does take longer to raise the temperature of water than it does air. But the way it is worded implies that a container of cool water placed in a room that is set to a fixed warm temperature would never ever warm to the same temperature as the air in the room. Did this come from scientists?
The headline is simply wrong.
“NASA: Global Warming Observations Need a Further 19% UPWARD Adjustment”
OK, somebody quote the bit in the paper or abstract where they talk about changing observations by 19%. It simply doesn’t exist in the paper or abstract.
Simple as that. Outright rubbish. There can’t have been much skeptical thinking went into that claim, and yet here it is. If it isn’t an deliberate misrepresentation, then at the very least it calls into question the competency of the author to understand the paper in question.
Either way, it is a shame to see such low quality work published here.
I agree.
So with all the massive adjustments, we have a sensitivity of 1.66C per doubling?
That’s great news – they’ve completely discredited the fraudulent and absurd upper-end predictions of 4C per doubling. With no possibility of CO2 doubling that means we can expect no more than about 1C this century, right? That should take us close to the 2C that peer reviewed science ™ tells us is net positive for the world.
“they’ve completely discredited the fraudulent and absurd upper-end predictions of 4C per doubling.”
No, you have mixed up Transient Climate Response, their 1.66, with Equilibrium Climate Sensitivity.
Nick Stokes
no you are rewriting history otherwise the C in CAGW would never have been there.
It seems NASA, once a bastion of hard science, has forgotten its raison d’etre. Imagine running a Moon Mission on the basis below – as the astronuats passed Mars outbound to Alpha Centauri, no doubt the technicians in the control room would be saying that the Solar System and galaxy needed to be adjusted to fit the “Computer Modelling”….Talk about regression to Flat Earth thinking.
It’s almost funny. But it will get funnier when they discover that the models are seriously flawed. They are, because they have a much to high climate forcing by CO2 built in.
So, when they discover the error they will be faced with this dillemma: how to re-adjust the now adjusted earlier adjustments. It will come straight out of a Monty Python script.
It beggars belief that they say they can new take new observational measurements IN THE FUTURE and correlate them with models NOW! – “With this modification, the models and observations largely agree on expected near-term global warming”. That’s astrology, *not* science!
Does this mean that every single Climate Model generated up until this point is wrong?
(Retorical question)
Yes, Nick Stokes –
The study applied the quirks in the historical records to climate model output and then performed the same calculations on both the models and the observations to make the first true apples-to-apples comparison of warming rates. With this modification, the models and observations largely agree on expected near-term global warming.
________________________________________
short :
applied the quirks in the historical records to climate model output and then performed the same calculations on both the models and the observations.
With this modification, the models and observations largely agree on expected near-term global warming.
________________________________________
gives :
: performing calculations to historical records, climate models, climate models output,
: AND real world observations
: finally do the trick.
________________________________________
You’re the one to do them all right!
[ can’t help, mod, in german that’s spelled ‘Arschkriecher’ ]
http://www.google.at/search?site=&source=hp&ei=n-CVV7zSIIzPgAaSy6awDw&q=er+m%C3%B6ge+mich+im+arsche+k%C3%BCssen+&oq=er+m%C3%B6ge+mich+im+arsche+k%C3%BCssen+&gs_l=mobile-gws-hp.12…5133.40588.0.42962.30.30.0.7.7.0.1165.5878.0j27j4-1j0j1j1.30.0….0…1c.1.64.mobile-gws-hp..0.19.3495.3..0j41j0i3j0i22i30j0i19j0i13i30i19j0i22i30i19j30i10.q094h5RYtgg
I would like to see a survey article compiling all the ‘adjustments’ that have been made to the raw data and the adjustments to the adjusted (and readjusted) data. I suspect that there is a continuing growth in the size of the adjustments.
Someone like Steve Goddard (Tony Heller) is probably well suited for this. He’s been tracking these ‘adjustments’ and calling them out for a long time. It would be good to have a group of non-alarmist folk compile all these with Paul into a blistering report to be send to all major governments, including the new UK Secretary for Industry, Energy & Business, Greg Clark.
They key question to ask now of course, is “does man’s CO2 emissions have *any* effect on temperature or climate?”. All the real-world observational evidence seems to be pointing to ‘zero effect’ (or anything too small to reliably measure, and so is just noise).
Paul Homewood on July 24, 2016 at 8:24 am
Rather than commenting about how easy it can be to misunderstand information about the relations between models and real data, I prefer to react on comments about wrong assumptions on real data.
The Arctic is no warmer now than the 1930s
This, Paul, is a wrong assumption. One of its many origins is a plot shown by Climate4you:
http://www.climate4you.com/images/MAAT%2070-90N%20HadCRUT4%20Since1900.gif
The plot in itself is correct, as is the data it shows.
1. A better estimate of the temperatures there during the last century nevertherless you will obtain by processing NOAA’s unadjusted GHCN land station record, and averaging the data produced between january 1880 and today by all stations located above 70° N.
Suddenly you discover that neither today’s tempeatures nor even those of your golden 1930ies were the highest! A descending sort of the warmest months shows like this for the first twenty:
1909 8
1905 8
1886 7
1896 7
1905 7
1915 7
1882 8
1894 8
1886 8
1888 7
1888 8
1904 8
1896 8
1890 7
1890 8
1901 7
1887 7
1911 7
1898 7
1882 7
2. But the main problem with Climate4you’s plot is elsewhere: it shows only data for the regions above 70° N, whereas the Arctic regions in fact start with 60° N (look for example at the understanding of polar regions published by the satellite-driven measurements in the troposphere, UAH and RSS).
The descending sort of the warmest months above 60° N shows like this for the first twenty:
1915 7
1894 7
1927 7
2010 7
1901 7
2005 7
2003 7
1896 7
1916 7
2007 7
2012 7
1911 7
1919 7
2013 7
1908 7
1913 7
1925 7
1920 7
2011 7
1899 7
And suddenly you discover that among these twenty warmest months, one of the first five, four of the first ten and seven of the twenty belong to years… following 2000!!! An you will be disappointed: none of the 1930 era is present in the list.
3. This rather dramatic change in the top 20 ranking list certainly will be interpreted ba anybody as a hint on the latitude stripe 60° N – 70° N being much more subject to warming than is the stripe above it. An indeed: restricting the averaging process to stations located therein gives you the following list:
2010 7
2003 7
2005 7
2012 7
1927 7
2007 7
1915 7
2013 7
2011 7
2014 7
2004 7
1894 7
2006 7
2008 7
1925 7
1994 7
2001 7
1936 7
1938 7
1901 7
Full podium for the years after 2000, eight of them within the ten warmest, and thirteen within the top 20. Solely two years of the 1930 era appear at positions 18 and 19.
4. A sort by ascending order gives you for the twenty coldest months since january 1880 for the region 60° N – 90° N :
1982 1
1979 2
1966 1
1972 1
1969 1
1985 2
1971 1
1966 2
1968 1
1989 1
1974 1
1975 1
1970 1
1976 2
1979 1
1967 1
1951 1
1965 2
1980 1
1987 1
All coldest months between 1880 and 2016 lie in the period 1950-1990.
5. Warming rate for this Arctic region since january 1979: 0.83 ± 0.49 °C per decade.
6. Data source for the unadjusted GHCN record:
http://www1.ncdc.noaa.gov/pub/data/ghcn/v3/ghcnm.tavg.latest.qcu.tar.gz
A “detail” I forgot: to mention that this warming since 1979 (the satellite era) should not hide the fact that the region nevertheless has a cooling trend when considered since 1880: -0.35 ± 0.07 °C.
as usual the attempt to eliminate the warming in the 30s to try and flatten out the trend line, this is getting ridiculous.
Bob Boder on July 25, 2016 at 11:33 am
as usual the attempt to eliminate the warming in the 30s to try and flatten out the trend line, this is getting ridiculous.
What is here really ridiculous, Bob Boder, is that you suspect something but in fact aren’t even able to prove anything to be wrong.
So go on work, Bob Boder, and
– download the unadjusted GHCN dataset from the URL
http://www1.ncdc.noaa.gov/pub/data/ghcn/v3/ghcnm.tavg.latest.qcu.tar.gz
– select records out of the data file, according to criteria you need (a latitude stripe, a country like e.g. USA or Greenland, etc)
– write a piece of software to average the monthly data in the selected subset
– verify and validate your software using Excel or whatever else beyond any suspicion against errors
– produce the output according to your selection.
And when you happen to generate anything differing from what I did, come back here and we clarify who was right. Until you reach that point I propose you simply shut up.
isn’t this just a very long way of saying that the HadCRUT4 index lacks sufficient information to be used as a proxy for global temperature?
So they admit their models are off by 19%. That they think otherwise shows just how despicably evil and stupid they are.
Nick Stokes,
“It’s true that the press release reflects a journalist’s shaky grasp of the paper. So when he says, for example, that warming was “missed by historical records”, that is a muddled rendition of the main issue in the paper, which is the limited coverage of the HADCRUT set.”
Is Mr. Stokes implying that the NASA scientists who produced the paper have no say in the press release issued by their employer? I cannot believe that any scientist with a shred of integrity would not insist on a correction if the press release relating to their work was not accurate and conveyed a false impression.
You could for example measure the discrepancy between the title of
http://www.nasa.gov/feature/goddard/nasa-study-mass-gains-of-antarctic-ice-sheet-greater-than-losses
and its contents.
It’s amazing.
This reflects something I’ve tried to explain to people who trust in ‘institutions’ – and it’s even worse with ‘scientific’ institutions, which lay-people too-often regard as ‘objective’ – the thing is that they are made up of human beings and are only as reputable as the people currently occupying positions within them. And no organization is immune to human failings.
And , in many ways, scientific organizations are MORE susceptible. Consider that we live in a world where Catholic priests – supposedly the very standard of morality – have predated on children. So why would a scientific body – who have jettisoned morality in favor of ethic, be beyond reproach?
There is the discipline of science and then there are those who practice it – institutions like NASA are made up of these. And I daresay, the current crop makes too many of these once-reputable bodies something less than they were.
This article by Dr. Tim Ball I think expresses the fundamental problem with climate science, as a symptom of the wider problem in science and science education: https://wattsupwiththat.com/2016/07/24/credibility-loss-in-climate-science-is-part-of-a-wider-malaise-in-science/
“If we make these adjustments to create fake data that agrees with our models, then our data agrees with our models, ergo we have proven our models.”
Circular logic from NASA’s corrupt group of cargo cult scientists.
How far NASA has fallen.
Its shameful.
Sean, but please don’t think for a second that the fall was accidental, due to incompetence, or any such things; the fall of NASA was deliberate and issue driven to satisfy the rank politicians and thereby to grab their bags full of taxpayer money.
I wonder if NASA is having problems recruiting astronauts? Who in their right mind would want to ride any of their rockets considering how they view reality?
For example: “Oops–looks like our rocket will miss Mars by a million miles; I guess we’ll just have to move Mars a million miles so our mission isn’t a complete failure.”
Science is in full retreat at this point with agency militias taking full advantage of the institutional collapse and bullying the occupied community.
So Mother Nature is wrong and the models, which ever one chooses to use. are correct. Hence all measurement data should be thrown out all together. The world can save a lot of money by no longer taking weather measurements but instead relying 100% on computer simulations. One may see that it is raining outside but if the models say it is dry then it is dry no matter how wet one may get outside.
I am confused by climate science – especially the “science of adjustments.” So, the arctic air temperatures are warming faster than the rest of the world. There is less ice cover in the arctic. Ice acts as an insulator that prevents the arctic ocean from transferring heat to the arctic air, thereby trapping the “hidden heat,” right? With less ice cover, wouldn’t that mean that the arctic air temperatures are rising because a lot more heat is being lost by the arctic ocean to the arctic air and then to outer space? Wouldn’t that imply that the arctic SYSTEM is cooling? Just really confused.