Over at JunkScience.com Steve Milloy writes:
Skeptic Setback? ‘New’ CRU data says world has warmed since 1998 But not in a statistically significant way.
Gerard Wynn writes at Reuters:
Britain’s Climatic Research Unit (CRU), which for years maintained that 1998 was the hottest year, has published new data showing warmer years since, further undermining a sceptic view of stalled global warming.
The findings could helpfully move the focus from whether the world is warming due to human activities – it almost certainly is – to more pressing research areas, especially about the scale and urgency of human impacts.
After adding new data, the CRU team working alongside Britain’s Met Office Hadley Centre said on Monday that the hottest two years in a 150-year data record were 2005 and 2010 – previously they had said the record was 1998.
None of these findings are statistically significant given the temperature differences between the three years were and remain far smaller than the uncertainties in temperature readings…
And Louise Gray writes in the Telegraph: Met Office: World warmed even more in last ten years than previously thought when Arctic data added
Some of the change had to do with adding Arctic stations, but much of it has to do with adjustment. Observe the decline of temperatures of the past in the new CRU dataset:
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UPDATE: 3/21/2012 10AM PST – Joe D’Aleo provides updated graphs to replace the “quick first look” one used in the original post, and expands it to show comparisons with previous data sets in short and long time scales. In the first graph, by cooling the early part of the 20th century, the temperature trend is artificially increased.In the second graph, you can see the offset of CRUtemp4 being lower prior to 2005, artificially increasing the trend. I also updated my accidental conflation of HadCRUT and CRUTem abbreviations.
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Data plotted by Joe D’Aleo. The new CRUTem4 is in blue, old CRUTem3 in red, note how the past is cooler (in blue, the new dataset, compared to red, the new dataset), increasing the trend. Of course, this is just “business as usual” for the Phil Jones team.
Here’s the older CRUTem data set from 2001, compared to 2008 and 2010. The past got cooler then too.
On the other side of the pond, here’s the NASA GISS 1980 data set compared with the 2010 version. More cooling of the past.
And of course there’s this famous animation where the middle 20th century got cooler as if by magic. Watch how 1934 and 1998 change places as the warmest year of the last century. This is after GISS applied adjustments to a new data set (2004) compared with the one in 1999
Hansen, before he became an advocate for protest movements and getting himself arrested said:
The U.S. has warmed during the past century, but the warming hardly exceeds year-to-year variability. Indeed, in the U.S. the warmest decade was the 1930s and the warmest year was 1934.
Source: Whither U.S. Climate?, By James Hansen, Reto Ruedy, Jay Glascoe and Makiko Sato — August 1999 http://www.giss.nasa.gov/research/briefs/hansen_07/
In the private sector, doing what we see above would cost you your job, or at worst (if it were stock data monitored by the SEC) land you in jail for securities fraud. But hey, this is climate science. No worries.
And then there’s the cumulative adjustments to the US Historical Climatological Network (USHCN)
Source: http://cdiac.ornl.gov/epubs/ndp/ushcn/ts.ushcn_anom25_diffs_urb-raw_pg.gif
All up these adjustments increase the trend in the last century. We have yet to witness a new dataset release where a cooling adjustment has been applied. The likelihood that all adjustments to data need to be positive is nil. This is partly why they argue so fervently against a UHI effect and other land use effects which would require a cooling adjustment.
As for the Arctic stations, we’ve demonstrated recently how those individual stations have been adjusted as well: Another GISS miss: warming in the Arctic – the adjustments are key
The two graphs from GISS, overlaid with a hue shift to delineate the “after adjustment” graph. By cooling the past, the century scale trend of warming is increased – making it “worse than we thought” – GISS graphs annotated and combined by Anthony Watts
And here is a summary of all Arctic stations where they cooled the past:. The values are for 1940. and show how climate history was rewritten:
CRU uses the same base data as GISS, all rooted in the GHCN, from NCDC managed by Dr. Thomas Peterson, who I have come to call “patient zero” when it comes to adjustments. His revisions of USHCN and GHCN make it into every global data set.
Watching this happen again and again, it seems like we have a case of:
Those who cool the past are condemned to repeat it.
And they wonder why we don’t trust them or their data.
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![1998changesannotated[1]](http://wattsupwiththat.files.wordpress.com/2012/03/1998changesannotated1.gif?resize=500%2C355)
![ts.ushcn_anom25_diffs_urb-raw_pg[1]](http://wattsupwiththat.files.wordpress.com/2012/03/ts-ushcn_anom25_diffs_urb-raw_pg1.gif?resize=640%2C494)


Hi Folks,
The Excel graph published above is from thegwpf.
Also it is CRUTEM4 NOT HADCRUT4 as the gwpf make quite clear. It’s land only.
http://thegwpf.org/the-observatory/5225-crutem4-global-warming-and-the-arctic.html
Is this right?
(1) All of the major non-satellite datasets, including GISS, HadCrut and Best, rely on adjustments made to individual stations made by NCDC.
(2) NCDC alter historical data without telling anyone who altered the data, or why.
(3) NCDC is headed by Dr Tom Peterson of “It’s a knife fight” fame and who’s views on climate and Climategate were shown by Anthony in:
http://wattsupwiththat.com/2011/01/16/ncdcs-dr-thomas-peterson-its-a-knife-fight/
(4) There is no oversight or accountability of the process.
Yeesh! Put me in charge of economic data for the Havana Greater Development Region, yet…
Hmm. Feel sorry for the Team now as they have to “re calibrate” their models to match less warming from the years leading to 1960 and higher warming after. Of course we have to flip the effect of CO2 saturation to make all of this work but hey, its just Team physics!
Also think of the carbon footprint these redo calculations are going to leave! By the way, do they have an error bar adjustment term built in to their models (ideologically driven to take an exponential form and ,from a self interest perspective, be a function of Funding Cycle and time to next IPCC Assessment Report)?
“Between 1998 and 2010, temperatures rose by 0.11C, 0.04C more than previously estimated.”
Fantastic you couldn’t make this up they did. 🙂
Steve, so predictable, so that makes it ok to change history?
It has NEVER been about the science.
Regards,
Steamboat Jack (Jon Jewett’s evil twin)
Odd how it always goes ‘their’ way!
My, they must be laughing into their tenured beers tonight.
But pride comes before a fall, as they say.
Am I going senile, or did I read last year that they were in the process of removing some Arctic Stations to raise the average temperature.
Meanwhile, global sea ice extent continues it’s upward trend.
Here is the BBC report-http://www.bbc.co.uk/news/science-environment-17432194
They call this sciences… I call this a fraud.
Can we apply these algorithms to the stock market?
The fact is, their data machining does not have any significant impact on temperatures diverging from multi-model mean. What about taking that mean as baseline and displaying those data as anomalies from it? I gues that’d be an interesting view despite all the adjustments…
This has certainly undermined my view of stalled global warming while bolstering my view of steadily increasing past global cooling.
Phil Jones – nudge, nudge, wink, wink
Thought you might like this
Changing data arbitrarily is just another form of book burning.
We must be getting close to peak travesty.
Talk about observer bias!
Its not surprising that when you add more Northern Latitude data that the present warms.
This has been shown before. It’s pretty well known.
As you add SH data you will also cool the past. This is especially true in the 1930-40 period as well as before.
More data. Folks used to clamor for more data. Here is a clue. If you look at the distribution of places that were not measured in the past ( and in the present) and if you understand polar amplification, it should be pretty clear that as you add data you can expect the past to cool.
And as you add more current data from the extreme high latitude you can expect the present to warm. The changes won’t be huge, but just looking at the distribution of “unsampled” places and the fact of polar amplification, would clue most people in.
Note: there is more data out there that has yet to be digitized. prior to 1950 data. wanna bet what it will show?
If at first you don’t succeed… lie, lie again…
Steven Mosher says:
The only problem with the GHCN is bad story is that I dont use it and I get the same answer.
That is not a problem with the GHCN is bad story, unless you are holding up yourself and the data you use as infallible.
Yours is the same logic that says “Mann’s work is right because Wahl’s work agrees, which is right because it agrees with Briffa’s, which is right because it agrees with Mann’s”. Sorry, but no
http://news.bbc.co.uk/1/hi/7139797.stm
Here’s a prediction from some of these wonderful climate scientists, courtesy of modern day Pravda stating that the ice in the Arctic will be gone by summer 2013 – well not long before this will be another failed computer model.
I really hope we can get some traction exposing these failed predictions.
If these guys can just make stuff up and change the past; why don’t we ask them to change the present to what we want? Could you please make Central Florida a little less hot next August? (I need to save on the A/C bill)
How can we believe anything that the CRU says, after climategate 1 and 2 they are a joke. Even if they are right and their facts are correct, no one is going to believe them anyway.
Forget about the Global use the CET
As Lord Monckton says the CET is a good proxy for the global temperatures.
http://www.vukcevic.talktalk.net/CETGNH.htm
I’ve just compared my old CET file from 2008 to the current MetOffice file, the past data are identical.