Archives par mot-clé : Manipulation

The Climate Scaremongers: BBC Admits It Lied About Vanishing Polar Bears

by P. Homewood, Nov 22, 2024 in ClimateChangeDispatch


polar bear mother and cub
In August, the BBC published a news item about a Canadian worker killed by two polar bears. [emphasis, links added]

The article claimed: ‘There are about 17,000 polar bears living in the country – making up around two-thirds of the global population of the species, according to the Canadian government.

The species is in decline, and scientists attribute it to the loss of sea ice caused by global warming – leading to shrinking of their hunting and breeding grounds.’

No doubt in BBC World, they actually believe that polar bears are dying out. It is, after all, an article of faith for the global warming cult.

However, far from declining, the world’s population of polar bears has tripled since the 1960s, thanks to the ban on hunting in 1973.

Source

The BBC has now formally upheld the complaint I submitted at the time, and has posted this on their Complaints Page:

News Outlet Relies On Flawed ‘Attribution Studies’ To Blame Climate Change For Extreme Weather

by A. Watts, Nov 19,2024 in ClimateChaneDispatch


On Monday, November 18, The Guardian published an “explainer” piece titled “How do we know that the climate crisis is to blame for extreme weather?” This is false. [emphasis, links added]

Actual data on extreme weather does not support their claim, and the claim is mostly based on flawed “attribution studies.”

The narrative that severe weather events are worsening due to climate change has become a mainstay in today’s media. However, a closer look at the data and the science behind these claims often reveals inconsistencies that should give us pause.

Attribution studies, which are widely used to link specific extreme weather events to climate change, frequently lack rigorous peer review and are published hastily to garner headlines, raising significant concerns about their reliability.

Attribution studies work by using climate models to simulate two different worlds: one influenced by human-caused climate change and another without it. These models then assess the likelihood of extreme weather events in each world.

Yet the validity of such studies is only as good as the models and assumptions underpinning them.

This methodology is prone to overestimating risks because climate models often reflect overheated worst-case scenarios rather than actual observations.

Moreover, these studies are often published without proper peer review. Climate Realism has documented how media outlets run stories based on these model-driven studies, ignoring real-world data that often contradicts the alarming conclusions.

For example, articles frequently cite reports that heatwaves, floods, or hurricanes are “worsening” without disclosing that these claims rely on theoretical simulations rather than measured evidence.

Empirical data does not support claims of worsening severe weather. In fact, long-term trends for many extreme weather events have remained stable or even declined.

According to Climate at a Glance, heatwaves in the United States were most severe in the 1930s, with temperatures and frequency outstripping recent records.

The number of strong hurricanes making landfall in the United States has not increased either. The country even experienced a record 12-year lull in major hurricanes between 2005 and 2017.

Additionally, droughts have not intensified in the U.S. The nation saw historically low levels of drought in recent years, with 2017 and 2019 setting records for the smallest percentage of the country affected by drought. These data points highlight a crucial disconnect between what is reported and what is actually happening.

Junk Science Alert: Met Office Set to Ditch Actual Temperature Data in Favour of Model Predictions

by C. Morrison, Dec 23, 2023 in WUWT


The alternative climate reality that the U.K. Met Office seeks to occupy has moved a step nearer with news that a group of its top scientists has proposed adopting a radical new method of calculating climate change. The scientific method of calculating temperature trends over at least 30 years should be ditched, and replaced with 10 years of actual data merged with model projections for the next decade. The Met Office undoubtedly hopes that it can point to the passing of the 1.5°C ‘guard-rail’ in short order. This is junk science-on-stilts, and is undoubtedly driven by the desire to push the Net Zero collectivist agenda.

In a paper led by Professor Richard Betts, the Head of Climate Impacts at the Met Office, it is noted that the target of 1.5°C warming from pre-industrial levels is written into the 2016 Paris climate agreement and breaching it “will trigger questions on what needs to be done to meet the agreement’s goal”. Under current science-based understandings, the breaching of 1.5°C during anomalous warm spells of a month or two, as happened in 2016, 2017, 2019, 2020 and 2023, does not count. Even going above 1.5°C for a year in the next five years would not count. A new trend indicator is obviously needed. The Met Office proposes adding just 10 years’ past data to forecasts from a climate model programmed to produce temperature rises of up to 3.2°C during the next 80 years. By declaring an average 20-year temperature based around the current year, this ‘blend’ will provide ”an instantaneous indicator of current warming”.

It will do no such thing. In the supplementary notes to the paper, the authors disclose that they have used a computer model ‘pathway’, RCP4.5, that allows for a possible rise in temperatures of up to 3.2°C within 80 years. Given that global warming has barely risen by much more than 0.2°C over the last 25 years, this is a ludicrous stretch of the imagination. Declaring the threshold of 1.5°C, a political target set for politicians, has been passed based on these figures and using this highly politicised method would indicate that reality is rapidly departing from the Met Office station.

Junk Science Alert: Met Office Set to Ditch Actual Temperature Data in Favour of Model Predictions

by C. Morrison, Dec 24, 2023 in WUWT


The alternative climate reality that the U.K. Met Office seeks to occupy has moved a step nearer with news that a group of its top scientists has proposed adopting a radical new method of calculating climate change. The scientific method of calculating temperature trends over at least 30 years should be ditched, and replaced with 10 years of actual data merged with model projections for the next decade. The Met Office undoubtedly hopes that it can point to the passing of the 1.5°C ‘guard-rail’ in short order. This is junk science-on-stilts, and is undoubtedly driven by the desire to push the Net Zero collectivist agenda.

In a paper led by Professor Richard Betts, the Head of Climate Impacts at the Met Office, it is noted that the target of 1.5°C warming from pre-industrial levels is written into the 2016 Paris climate agreement and breaching it “will trigger questions on what needs to be done to meet the agreement’s goal”. Under current science-based understandings, the breaching of 1.5°C during anomalous warm spells of a month or two, as happened in 2016, 2017, 2019, 2020 and 2023, does not count. Even going above 1.5°C for a year in the next five years would not count. A new trend indicator is obviously needed. The Met Office proposes adding just 10 years’ past data to forecasts from a climate model programmed to produce temperature rises of up to 3.2°C during the next 80 years. By declaring an average 20-year temperature based around the current year, this ‘blend’ will provide ”an instantaneous indicator of current warming”.

It will do no such thing. In the supplementary notes to the paper, the authors disclose that they have used a computer model ‘pathway’, RCP4.5, that allows for a possible rise in temperatures of up to 3.2°C within 80 years. Given that global warming has barely risen by much more than 0.2°C over the last 25 years, this is a ludicrous stretch of the imagination. Declaring the threshold of 1.5°C, a political target set for politicians, has been passed based on these figures and using this highly politicised method would indicate that reality is rapidly departing from the Met Office station.

HadCRUT Data Manipulation Makes 2000-2014 Warming Pause Vanish


by K. Richard, Jan 12, 2023 in PrincipiaScientifIntern


The Met Office and the Climate Research Unit are at it again, making adjustments to the temperature records to increase the claimed rate of warming.

From 2009 to 2019, there were 90 peer-reviewed scientific papers published on the global warming “pause” or “hiatus” observed over the first 15 years of the 21st century.

The HadCRUT3 global temperature trend was recorded as 0.03°C per decade during the global warming hiatusyears of 2000-2014 (Scafetta, 2022).

This was increased to 0.08°C per decade by version 4, as the overseers of the HadCRUT data conveniently added 0.1°C to 0.2°C to the more recent anomalies.

Today, in HadCRUT5, the 2000-2014 temperature trend has been adjusted up to 0.14°C per decade when using the computer model-infilling method.

So, within the last decade, a 15-year temperature trend has been changed from static to strong warming.

See more here notrickszone.com

Activist Scientists Have Now Officially Changed A -0.5°C Global Cooling Trend Into A Warming Trend

by K. Richard, Aug 15, 2022 in NotricksZone


Back in the days when data manipulation was still strictly forbidden, scientists reported the globe cooled significantly for decades even as CO₂ concentrations increased.

The global cooling amplitude was -0.5°C from 1960-1965, and 1976 was reported to be the coldest year of any year measured since 1958 (Angell and Korshover, 1978).

Today these recorded 1960-1965 and 1958-1963 cooling trends have been fully erased and replaced with a slight warming or pause.

Magically correcting Australia’s thermometers from 1,500 kilometers away

by JoNova, Oct 8, 2020


The Australian Bureau of Meteorology uses “surrounding” thermometers to adjust for odd shifts in data (caused by things like long grass, cracked screens, or new equipment, some of which is not listed in the site information). The Bureau fishes among many possible sites to find those that happen to match up or , err “correlate” during a particular five year period. Sometimes these are not the nearest site, but ones… further away. So the BOM will ignore the nearby stations, and use further ones to adjust the record.

These correlations, like quantum entanglements, are mysterious and fleeting. A station can be used once in the last hundred years to “correct” another, but for all the other years it doesn’t correlate well — which begs the question of why it had these special telediagnostic powers for a short while, but somehow lost them? Or why a thermometer 300km away might show more accurate trends than one 50km away.

One of the most extreme examples was when Cobar in NSW was used to adjust the records at Alice Springs –almost 1500km away (h/t Bill Johnston). That adjustment was 0.6°C down in 1932 (due to a site move, we’re told). This potentially matters to larger trends because Alice Springs is a long running remote station — the BOM itself says that Alice Springs alone contributes about 7-10 % of the national climate signal.[1] Curiously Cobar itself was adjusted in 1923 by a suite of ten stations including Bendigo Prison which is another 560 km farther south in a climate zone pretty close to Melbourne. In 1923 Cobar official temperatures were adjusted down by a significant 1.3 °C. No reason is given for this large shift — a shift larger than the entire (supposed) effect of CO2 in the last hundred years.

HIGHEST U.S. TEMPERATURES ON RECORD BY STATE

by Cap Allon, July 12, 2020 in Electroverse


Historical documentation destroys the man-made global warming theory.

While those in control of the temperature graphs are all too happy to fraudulently increase the running average, what they haven’t (yet) had the balls to do is rewrite the history books.

As Tony Heller uncovers on his site realclimatescience, NASA routinely cools the past and heats the present, so to give the illusion of a greater warming trend — and comparisons between old and new graphs instantly reveals this fraud:

In 1999, NASA’s James Hansen reported 0.5C US cooling since the 1930’s:

By 2016, the same NASA graph has eliminated that 1930-1999 cooling:

Adjusted “Unadjusted” Data: NASA Uses The “Magic Wand Of Fudging”, Produces Warming Where There Never Was

by P. Gosselin, June 25, 2019 in NoTricksZone


By Kirye
and Pierre Gosselin

It’s been long known that NASA GISS has been going through its historical temperature data archives and erasing old temperature measurements and replacing them with new, made up figures without any real legitimate reason.

This practice has led to the formation of new datasets called “adjusted” data, with the old datasets being called “V3 unadjusted”. The problem for global warming activists, however, was that when anyone looks at the old “V3 unadjusted” – i.e. untampered data – they often found a downward linear temperature trend. Such negative trends of course are an embarrassment for global warming alarmists, who have been claiming the planet is warming up rapidly.

The adjusted “unadjusted” data

So what to do? Well, it seems that NASA has decided to adjust its “V3 unadjusted datasets” and rename them as “V4 unadjusted”. That’s right, the adjusted data has become the new V4 “unadjusted” data.

And what kind of trend does the new “V4 unadjusted” data show?

You guessed it. The new V4 unadjusted data are now yielding warmed up trends, even at places where a cooling trend once existed.

This is how NASA uses its magic wand of fudging to turn past cooling into (fake) warming.

6 examples of scandalous mischief by NASA

What follows are 6 examples, scattered across the globe and going back decades, which demonstrate this scandalous mischief taking place at NASA.

No. 1

Punta Arenas, Chile. Here we see how a clear cooling trend has been warmed up by NASA to produce a slight cooling trend:

 

giss.nasa.gov/cgi-bin/gistemp/stdata_show_v3

giss.nasa.gov/cgi-bin/gistemp/stdata_show_v4