John Dodders Profile picture
Feb 4, 2022 60 tweets 16 min read Read on X
Massive adjustments to the Vestmannaeyjar (Iceland) temperature record by NASA GISS:
Yet almost every adjustment cools the past and warms the present:
data.giss.nasa.gov/gistemp/histor…
"Starting in the 1990s, the methodology eliminated or corrected unrealistic outliers"

Who decides if they are unrealistic?
"The net effects of the adjustments [to NASA GISS] made since May 2008 are to generate a more smoothly increasing global temperature since 1880"
https://t.co/ETZNnx4f97climate4you.com
And you still trust NASA? I don't. Reading this makes me more sceptical. It's a story of data adjustments to fit Dr Hansen's "concerns".

data.giss.nasa.gov/gistemp/histor…
" A temperature record which keeps on changing the past hardly can qualify as being correct"

The temporal stability of global air temperature estimates is documented here:
climate4you.com
Every where you look, long term stations (late 1800s to present) have massive adjustments to remove multi-decadal variability. Here's Richfield, California:
Cool the past
Cooling the past
Deleting the past
Valentia Observatory, Ireland. Seems legit.
Cooling the past in Pakistan
Cooling the past in Rocha, Uruguay
Cooling the past in Cedar Lake, Indiana.
San Antonio, Argentina, cooling the past to create warming.
Removing multi-decadal variability in Trelew, Argentina
Cooling the past in Deer Lake, Newfoundland, Canada.
Cooling the past at Resolution Island, Canada.
@Daniel_Marbella Because
1. Most of the adjustments gradually cool the past by increasing amounts
2. This removes multidecadal variability
3. It looks like the temp record is being adjusted to fit a theory.
Tromsolangnes, Norway; deleting the 1920-1960 warm period.
It's strange that it's very hard to find a Russian station in this dataset that shows unadjusted temperature, only 'final' homogenised data. Why is the raw unadjusted data largely unavailable for Russia? And who has done the homogenisation, if not NASA?
How to turn a long term cooling trend into a warming trend, in Nelson New Zealand
Cooling the past, warming the present in Aukland, New Zealand. This one has a BI of 30, so effected by urbanisation, yet late 20thC temps are adjusted upwards, not down as they should be.
Cooling the past at Ithaca University, New York
Cooling the past to create a warming trend in Binghamton, New York state.
Cooling the past to manufacture warming in Erfurt, Germany
Cooling the past in Ajiro, Japan. Note, this has a BI of 10 = recent warming due to UHI effect.
Hachijojima, Japan. Unadjusted = no trend; adjusted = steep warming. Seems legit.
Welcome to the adjustocene.
Paso De Los Toros, Uruguay. Cooling the past to manufacture warming.
Saint Johnsbury, Vermont. Cooling the past to create warming since 1880.
0.2degC of global warming is from retrospective adjustments made since 2008. Cool the past (1910), warm the present (2000):
Phil Jones to Mike Mann & Gavin Schmidt, April 2007:

NOAA likely to "raise recent temps and also reduce earlier temps (pre -1940) for reasons that aren't that clear".

"Upshot is that their trend will increase"

https://t.co/jqb1s6M7EGsealevel.info/FOIA/0121.txt
More cooling the past at Poronajsk, Sakhalin Island, Russia.
Cooling the past to manufacture warming in Cornwall, Vermont, US:
Tromso, northern Norway. Should have adjustments to cool the recent due to significant UHI effect (BI of 89), yet the past is cooled to manufacture warming.
Gradually cooling the past to create warming in Nome, Alaska. BI is 39, so the recent uptick is likely Urban Heat Island effect.
Cooling the past to create a strong warming trend, in Zurich, Switzerland:
Only slight warming in Mahackala, Dagestan, Russia, until adjustments cool the past to create strong warming trend:
Massive adjustments to cool the past and remove multi-decadal variability in Luqa, Malta (BI 33 = recent uptick is UHI effect).
Manufacturing a warming trend in San Carlos De Bariloche, Argentina:
How is this not fraud? Raoul Island, New Zealand.
Manufacturing a warming trend in Ono I Lau, Fiji.
Manufacturing a steeper warming trend by cooling the past in Rotuma, Fiji:
Cooling the past in Nanning, China:
@Daniel_Marbella Stations with data from 1900-2022:
Victoria Gonzales Heights, Canada, no warming prior to adjustments:
No warming in Pendleton, Oregon, United States, before adjustments:
Deleting multi-decadal variability to create warming at Calhoun Research Station, Louisiana, US:
Manufacturing warming in Makedonia, Greece (BI 24 so recent uptick is UHI effect).
Cooling the past and removing natural variability to create a warming trend in Larissa, Greece (BI 25 = some recent UHI effect).
Cooling the past in Palmerville, Queensland, Australia.
Cooling the past to create warming in Rutherglen, Victoria, Australia:
Another one: Alice Springs, Northern Territory, Australia.
Boulder, Colorado, US: cooling the past and removing the mid-20thC warm period. Recent warming is UHI effect (BI 37).
Gradually cooling the past to create a steeper warming trend in Bamberg, Germany.
Manufactured warming at Bahia Blanca Aero, Argentina.

NASA GISS v2 (2011) vs v4

Dwark, India (BI 0 = no UHI effect).

Heavy adjustments that cool the past, remove multi-decadal variability and create a steep warming trend.

NASA GISS v2 (2011) and v4 (current)

Cooling the past in Vladivostok, Russia.

GISS v2 (2011) and v4 (current):

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More from @Dodders75

Mar 30, 2025
Thread on @BBCNews articles, before it pushed the man-made climate change and Net Zero agenda.

March 2003: Greenland is significantly cooler now than it was 40 years ago, due to natural cycles.

news.bbc.co.uk/1/hi/sci/tech/…Image
Jan 2001: Global warming 'not clear cut'

Professor David Unwin, an environmental scientist at Birkbeck College, London - the IPCC was guilty of glossing over many of the uncertainties in climate science.

news.bbc.co.uk/1/hi/sci/tech/…Image
Dec 2000: Fossils nag at carbon's climate role.

But our data conflict with a temperature reconstruction using an energy balance model that is forced by reconstructed atmospheric CO2 concentrations. 

news.bbc.co.uk/1/hi/sci/tech/…Image
Read 12 tweets
Apr 29, 2024
The long-term rural/suburban stations in the US show a similar trend (blue curve), but homogenisation (orange curve) has reversed it:
Image
Here's a list of the 74 long-term rural/suburban stations in the US that l can locate:
Image
Image
Data source is here. What is apparent when you download the individual station data, is the large number of months deleted and then infilled by the homogenisation algorithm.
@narrocracy @TonyClimate

data.giss.nasa.gov/gistemp/statio…
Read 7 tweets
Nov 1, 2023
Relative sea level change was higher in the 1940-50s. Image
Aberdeen tide guage data runs from 1860 Image
Read 22 tweets
Sep 16, 2023
The administrative adjustments to the historical record are gradual and systematic:

1890 to 1909: minus 1.5degC
1910 to 1929: minus 1.2 degC
1950 to 1969: minus 0.8 degC
1970 to 1989: minus 0.6 degC
1990 to 2009: minus 0.4 degC
Image
Here are all the stations so far that meet the criteria: 120 globally. Image
Correction.
1890-1909: -1.5
1910-1929: -1.2
1930-1949: -1.1
1950-1969: -0.8
1970-1989: -0.6
1990-2009: -0.4 Image
Read 9 tweets
Sep 2, 2023
2006 position after Gore's film: there is a problem, we should do something about it.

2016 position after reading the climategate emails: the problem has been exaggerated and is likely benign.

2023 position after analysing the raw data: the problem has been manufactured.
Everyone should start by looking at the raw data and not by listening to stupid activists and the biased media. And definitely not by listening to the government.
The whistleblower's “readme” manifesto explains why it is important that scientific malpractice be exposed. He (or she) was motivated by his understanding of the tragic cost of climate disinformation. He wrote:

sealevel.info/FOIA/README.tx…
Read 13 tweets
Aug 24, 2023
The published versus real uncertainty in the surface temperature measurements up to 1980.

@tan123: "How do they get away with this?"

Patrick Frank: "Pal review"
Image
Uncertainty intervals for various temperature measuring devices. Note the ship engine intakes.

The overall uncertainty is greater than the supposed temperature anomaly: Image
It gets worse. This is all the uncertainties combined. Image
Read 6 tweets

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