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Old 10-11-2018, 07:50 PM   #1381
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I'm a white, male, cis-gendered, heterosexual, over 50, non-progressive, US citizen, gainfully employed, taxpaying, individual.

I leave it as an exercise to the reader to determine why I "hate polar bears and poor people".



Oh, one other, Patriots fan, can't forget that. That makes me a classic "scum of the earth" more than any of those other adjectives.
I think you're still good if you're willing to date a trans-female. Go get 'em, tiger!
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Old 10-12-2018, 06:57 AM   #1382
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You don't have to believe in climate change to see the utility of reducing our dependance on fossil fuels for energy.
I'm in favor of increasing fossil fuel production and reducing dependance. What does that make me?
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Old 10-12-2018, 12:59 PM   #1383
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I'm in favor of increasing fossil fuel production and reducing dependance. What does that make me?
Someone with cheaper gas in his plans?


Cheers
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Old 10-12-2018, 02:23 PM   #1384
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Someone with cheaper gas in his plans?


Cheers
That, yes, but also the wealth and productivity of a society is, in large part, dictated by, and limited by, the availability and cost of energy.
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Old 10-12-2018, 07:52 PM   #1385
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UPDATE – BOMBSHELL: audit of global warming data finds it riddled with errors

Just ahead of a new report from the IPCC, dubbed SR#15 about to be released today, we have this bombshell- a detailed audit shows the surface temperature data is unfit for purpose. The first ever audit of the world’s most important temperature data set (HadCRUT4) has found it to be so riddled with errors and “freakishly improbable data” that it is effectively useless.

From the IPCC:

Global Warming of 1.5 °C, an IPCC special report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty.

This is what consensus science brings you – groupthink with no quality control.

HadCRUT4 is the primary global temperature dataset used by the Intergovernmental Panel on Climate Change (IPCC) to make its dramatic claims about “man-made global warming”. It’s also the dataset at the center of “ClimateGate” from 2009, managed by the Climate Research Unit (CRU) at East Anglia University.

The audit finds more than 70 areas of concern about data quality and accuracy.

But according to an analysis by Australian researcher John McLean it’s far too sloppy to be taken seriously even by climate scientists, let alone a body as influential as the IPCC or by the governments of the world.


Main points:

The Hadley data is one of the most cited, most important databases for climate modeling, and thus for policies involving billions of dollars.

McLean found freakishly improbable data, and systematic adjustment errors , large gaps where there is no data, location errors, Fahrenheit temperatures reported as Celsius, and spelling errors.

Almost no quality control checks have been done: outliers that are obvious mistakes have not been corrected – one town in Columbia spent three months in 1978 at an average daily temperature of over 80 degrees C. One town in Romania stepped out from summer in 1953 straight into a month of Spring at minus 46°C. These are supposedly “average” temperatures for a full month at a time. St Kitts, a Caribbean island, was recorded at 0°C for a whole month, and twice!

Temperatures for the entire Southern Hemisphere in 1850 and for the next three years are calculated from just one site in Indonesia and some random ships.

Sea surface temperatures represent 70% of the Earth’s surface, but some measurements come from ships which are logged at locations 100km inland. Others are in harbors which are hardly representative of the open ocean.

When a thermometer is relocated to a new site, the adjustment assumes that the old site was always built up and “heated” by concrete and buildings. In reality, the artificial warming probably crept in slowly. By correcting for buildings that likely didn’t exist in 1880, old records are artificially cooled. Adjustments for a few site changes can create a whole century of artificial warming trends.

Details of the worst outliers

For April, June and July of 1978 Apto Uto (Colombia, ID:800890) had an average monthly temperature of 81.5°C, 83.4°C and 83.4°C respectively.

The monthly mean temperature in September 1953 at Paltinis, Romania is reported as -46.4 °C (in other years the September average was about 11.5°C).

At Golden Rock Airport, on the island of St Kitts in the Caribbean, mean monthly temperatures for December in 1981 and 1984 are reported as 0.0°C. But from 1971 to 1990 the average in all the other years was 26.0°C.

https://wattsupwiththat.com/2018/10/...d-with-errors/
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Who is this self-important instigating douche-bag, anyway?
Dude, Baron has been a valued member of this forum for quite some time.
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Old 10-12-2018, 07:52 PM   #1386
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#DataGate! First ever audit of global temperature data finds freezing tropical islands, boiling towns, boats on land

What were they thinking?

The fate of the planet is at stake, but the key temperature data set used by climate models contains more than 70 different sorts of problems. Trillions of dollars have been spent because of predictions based on this data – yet even the most baby-basic quality control checks have not been done.

Thanks to Dr John McLean, we see how The IPCC demands for cash rest on freak data, empty fields, Fahrenheit temps recorded as Celsius, mistakes in longitude and latitude, brutal adjustments and even spelling errors.

Why. Why. Why wasn’t this done years ago?

So much for that facade. How can people who care about the climate be so sloppy and amateur with the data?



Absurdity everywhere in Hadley Met Centre data

There are cases of tropical islands recording a monthly average of zero degrees — this is the mean of the daily highs and lows for the month. A spot in Romania spent one whole month averaging minus 45 degrees. One site in Colombia recorded three months of over 80 degrees C. That is so incredibly hot that even the minimums there were probably hotter than the hottest day on Earth. In some cases boats on dry land seemingly recorded ocean temperatures from as far as 100km inland The only explanation that could make sense is that Fahrenheit temperatures were mistaken for Celsius, and for the next seventy years at the CRU no one noticed.

Dr McLean audited the HadCrut4 global data from 1850 onwards for his PhD thesis, and then continued it on afterwards til it was complete:

“I was aghast to find that nothing was done to remove absurd values… the whole approach to the dataset’s creation is careless and amateur, about the standard of a first-year university student.”
– John McLean


His supervisor was Peter Ridd, famously sacked for saying that “the science was not being checked, tested or replicated” and for suggesting we might not be able to trust our institutions.

Data is incredibly, brazenly, sparse

The Hadley Met Centre team have not even analyzed this data with a tool as serious as a spell checker.

For two years the entire Southern Hemisphere temperature was estimated from one sole land-based site in Indonesia and some ship data. We didn’t get 50% global coverage until 1906. We didn’t consistently get 50% Southern Hemisphere coverage until about 1950.

McLean’s findings show there is almost no quality control on this crucial data. The Hadley Met Centre team have not even analyzed this data with a tool as serious as a spell checker. Countries include “Venezuala”,” Hawaai”, and the “Republic of K” (also known as South Korea). One country is “Unknown” while other countries are not even countries – like “Alaska”.

The real fault of the modern day institutes is not so much the lack of historic data, but for the way they “sell” the trends and records as if they are highly certain and meaningful.



There are systematic and far reaching problems

The HadCRUT4 dataset is a joint production of the UK Met Office’s Hadley Centre and the Climatic Research Unit of the University of East Anglia.

The CRU data covers 10,295 stations, but 2693 – more than a quarter – don’t meet the criteria for inclusion described in Jones et al 2012, which is considered to the best description of what should and shouldn’t be included.

It is impossible to know exactly which sites are included in the final temperature analysis, and whether a site’s records have been adjusted. (If only we could do our tax returns like this?)

The sub-parts of the datasets contradict each other. The land set and the sea set should combine up to be the global set, but they don’t always match. Which one is right?

“It seems like neither organization properly checked the land or sea temperature data before using it in the HadCRUT4 dataset. If it had been checked then the CRU might have queried the more obvious errors in data supplied by different countries. The Hadley Centre might also have found some of the inconsistencies in the sea surface temperature data, along with errors that it created itself when it copied data from the hand-written logs of some Royal Navy ships.”

– John McLean


Cooling the past one hundred years later?

In probably the worst systematic error, the past is rewritten in an attempt to correct for site moves. While some corrections are necessary, these adjustments are brutally sweeping. Thermometers do need to move, but corrections don’t have to treat old sites as if they were always surrounded by concrete and bricks.

New original sites are usually placed in good open sites. As the site “ages” buildings and roads appear nearby, and sometimes air conditioners, all artificially warming the site. So a replacement thermometer is opened in an open location nearby. Usually each separate national meteorology centre compares both sites for a while and figures out the temperature difference between them. Then they adjust the readings from the old locations down to match the new ones. The problem is that the algorithms also slice right back through the decades cooling all the older original readings – even readings that were probably taken when the site was just a paddock. In this way the historic past is rewritten to be colder than it really was, making recent warming look faster than it really was. Thousands of men and women trudged through snow, rain and mud to take temperatures that a computer “corrected” a century later.

We’ve seen the effect of site moves in Australia in Canberra, Bourke, Melbourne and Sydney. After being hammered in the Australian press (thanks to Graham Lloyd), the BOM finally named a “site move” as the major reason that a cooling trend had been adjusted to a warming one. In Australia adjustments to data increase the trend by as much as 40%.

In theory, a thermometer in a paddock in 1860 should be comparable to a thermometer in a paddock in 1980. But the experts deem the older one must be reading too high because someone may have built a concrete tarmac next to it forty or eighty years later. This systematic error, just by itself, creates a warming trend from nothing, step-change by step-change.

Worse, the adjustments are cumulative. The oldest data may be reduced with every step correction for site moves. Ken Stewart found some adjustments to old historic data in Australia wipe as much as 2C off the earliest temperatures. We’ve only had “theoretically” 0.9C of warming this century.

While each national bureau supplies the “preadjusted” data. The Hadley Centre is accepting them. Does it check? Does it care?

No audits, no checks, who cares?

As far as we can tell this key data has never been audited before. (What kind of audit would leave in these blatant errors?) Company finances get audited regularly but when global projections and billions of dollars are on the table climate scientists don’t care whether the data has undergone basic quality-control checks, or is consistent or even makes sense.

Vast areas of non-existent measurements

In May 1861 the global coverage, according to the grid-system method that HadCRUT4 uses, was 12%. That means that no data was reported from almost 90% of the Earth’s surface. Despite this it’s said to be a “global average”. That makes no sense at all. The global average temperature anomaly is calculated from data that at times covers as little as 12.2% of the Earth’s surface”, he says. “Until 1906 global coverage was less than 50% and coverage didn’t hit 75% until 1956. That’s a lot of the Earth’s surface for which we have no data.” – John McLean

Real thermometer data is ignored

In 1850 and 1851 the official data for the Southern Hemisphere only includes one sole thermometer in Indonesia and some random boats. (At the time, the ship data covers about 15% of the oceans in the southern half of the globe, and even the word “covers” may mean as little as one measurement in a month in a grid cell, though it is usually more.) Sometimes there is data that could be used, but isn’t. This is partly the choice of all the separate national meteorology organisations who may not send in any data to Hadley. But neither do the Hadley staff appear to be bothered that data is so sparse or that there might be thermometer measurements that would be better than nothing.

How many heatwaves did they miss? For example, on the 6th of February, 1851, newspaper archives show temperatures in the shade hit 117F in Melbourne (that’s 47C), 115 in Warnambool, and 114 in Geelong. That was the day of the Black Thursday MegaFire. The Australian BOM argues that these were not standard officially sited thermometers, but compared to inland boats, frozen Caribbean islands and 80 degree months in Colombia, surely actual data is more useful than estimates from thermometers 5,000 to 10,000km away? Seems to me multiple corroborated unofficial thermometers in Melbourne might be more useful than one official lone thermometer in Indonesia.

While the Hadley dataset is not explicitly estimating the temperature in Melbourne in 1850 per se, they are estimating “the Southern Hemisphere” and “The Globe” and Melbourne is a part of that. By default, there must be some assumptions and guesstimates to fill in what is missing.

How well would the Indonesian thermometer and some ship data correlate with temperatures in Tasmania, Peru, or Botswana? Would it be “more accurate” than an actual thermometer, albeit in the shade but not in a Stevenson screen? You and I might think so, but we’re not “the experts”.

Time the experts answered some hard questions.

The full report

The 135-page audit with more than 70 findings is available for $8 from Robert Boyle Publishing. You can help support months of work that should have been done by official agencies years ago.

Main points:

The Hadley data is one of the most cited, most important databases for climate modeling, and thus for policies involving billions of dollars.
McLean found freakishly improbable data, and systematic adjustment errors , large gaps where there is no data, location errors, Fahrenheit temperatures reported as Celsius, and spelling errors.
Almost no quality control checks have been done: outliers that are obvious mistakes have not been corrected – one town in Colombia spent three months in 1978 at an average daily temperature of over 80 degrees C. One town in Romania stepped out from summer in 1953 straight into a month of Spring at minus 46°C. These are supposedly “average” temperatures for a full month at a time. St Kitts, a Caribbean island, was recorded at 0°C for a whole month, and twice!
Temperatures for the entire Southern Hemisphere in 1850 and for the next three years are calculated from just one site in Indonesia and some random ships.
Sea surface temperatures represent 70% of the Earth’s surface, but some measurements come from ships which are logged at locations 100km inland. Others are in harbors which are hardly representative of the open ocean.
When a thermometer is relocated to a new site, the adjustment assumes that the old site was always built up and “heated” by concrete and buildings. In reality, the artificial warming probably crept in slowly. By correcting for buildings that likely didn’t exist in 1880, old records are artificially cooled. Adjustments for a few site changes can create a whole century of artificial warming trends.

Gory details of the worst outliers

For April, June and July of 1978 Apto Uto (Colombia, ID:800890) had an average monthly temperature of 81.5°C, 83.4°C and 83.4°C respectively.
The monthly mean temperature in September 1953 at Paltinis, Romania is reported as -46.4 °C (in other years the September average was about 11.5°C).
At Golden Rock Airport, on the island of St Kitts in the Caribbean, mean monthly temperatures for December in 1981 and 1984 are reported as 0.0°C. But from 1971 to 1990 the average in all the other years was 26.0°C.

Abbreviations

HadCRUT4 is a global temperature dataset, providing gridded temperature anomalies across the world as well as averages for the hemispheres and the globe as a whole. CRUTEM4 and HadSST3 are the land and ocean components.

http://joannenova.com.au/2018/10/fir...boats-on-land/



https://robert-boyle-publishing.com/...t-mclean-2018/
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Who is this self-important instigating douche-bag, anyway?
Dude, Baron has been a valued member of this forum for quite some time.
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Old 10-12-2018, 09:21 PM   #1387
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Once you decide that your data is going to include some time frame or data set in a report, it must be complete. If it isn't complete it throws the entire result into question. Ofttimes issues like this are caused by getting data from various sources and not having a way to resolve the issues.

They will never resolve the data. It will never be trustworthy.

Imaging trying to resolve temperature numbers from around the globe, for time frames that are historical with some collecting the data that have an agenda?

There is no world where anyone can reliably trust the data. There is no world where the conclusion isn't suspect.

YMMV
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Old 10-15-2018, 12:46 PM   #1388
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Originally Posted by subroc View Post
Once you decide that your data is going to include some time frame or data set in a report, it must be complete. If it isn't complete it throws the entire result into question. Ofttimes issues like this are caused by getting data from various sources and not having a way to resolve the issues.

They will never resolve the data. It will never be trustworthy.

Imaging trying to resolve temperature numbers from around the globe, for time frames that are historical with some collecting the data that have an agenda?

There is no world where anyone can reliably trust the data. There is no world where the conclusion isn't suspect.

YMMV
Except for maybe the unmassaged satellite data.
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Who is this self-important instigating douche-bag, anyway?
Dude, Baron has been a valued member of this forum for quite some time.
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Old 11-03-2018, 12:11 PM   #1389
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More scare tactics by the UN and the IPCC
This is a good read

link

Quote:
The UN’s Terrifying, But Ever-Receding, Human-Caused Climate Catastrophe
By Caleb Rossiter
October 31, 2018

Just in time for Halloween, the United Nations’ Intergovernmental Panel on Climate Change has released yet another in a 30-year stream of spooky stories: Global Warming of 1.5 Degree Celsius, an IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels.

Like its five predecessors, it makes terrifying predictions about human-caused climate catastrophes that are always just about to occur, unless governments reduce the level of the harmless trace gas carbon dioxide in the atmosphere from its current four-hundredths of one percent to the three hundredths it was before industrialization.

Notice that the title chosen by the UN gives the game away. It presents correlation as causation by implying that all the warming since pre-industrial times has been caused by industry. There’s no room here for a natural oscillation back from the well-documented lows of the 1700s, which themselves were rebounds from a higher temperature period in the 1400s. (See this NOAA chart).

So how will the UN engender so much fear that the public will agree to stop using fossil-fueled electricity to halt “climate change?” After all, the phrase in itself is benign and natural. With enough repetition as images of hurricanes play on the screen, however, climate change has come to be short-hand for fossil-fueled, civilization-threatening storms, droughts, and destruction of coastal cities and islands, a dubious hypothesis on which we are hilariously told “the debate is over.”

For years I assigned statistics students to pick any apocalyptic climate claim in the media and trace it back through the UN reports to its genesis in a scientific study. I knew they would discover that these reports are not scientific documents based on the peer review process, but political documents “approved by governments” and intended to scare the public into supporting constraints on the production and use of energy.

A powerful publicity machine magnifies the alarm, bombarding citizens with exaggerations and claims of certainty that are proven wrong as you dig down to their underlying scientific studies:

· Public figures, news editors, and commentators make claims that are more alarmist than what individual IPCC authors say at the release of the report.

· Individual IPCC authors make claims at the release of the report that are more alarmist than what the official press release says.

· The official press release makes claims that are more alarmist than what the report’s summary for policy-makers says.

· The summary for policy-makers makes claims that are more alarmist than the various chapters of the reports.

· The chapters of the report make claims that are more alarmist than the studies they reference in the footnotes.

The studies referenced in the footnotes are often actually peer-reviewed and generally make cautious claims about a possible trend spotted in one or a small number of locations or in a global computer model.

Both types of studies are more speculative than definitive because, as they always acknowledge in the fine print, they are based on highly-uncertain measurements of highly-complex phenomena with many interacting causes, of which warming gasses generated by human activity are only one, and often a minor component.

For governments to make policy on such a hierarchy of exaggeration brings to mind James Madison’s warning: “A popular Government, without popular information, or the means of acquiring it, is but a Prologue to a Farce or a Tragedy; or perhaps both.”

The serial release of UN reports obscures the fact that the climate catastrophes they predict never occur. As the data contained deep in the bowels of this latest report again acknowledge, Mother Nature is simply not cooperating with the UN There has been no positive trend in hurricanes, floods, and droughts as carbon dioxide levels continue to rise.

Even the average global temperature (whose rise is supposed to increase disasters) has barely budged, only rising a third of the amount that has been repeatedly been predicted by the IPCC computer models.

Sea levels, which are very difficult to measure due to human use of land and even to the natural rise and fall of land itself, chugs along at the same inch-per-decade that it has for thousands of years – not the terrifying 10 feet in a century warned about in previous reports. The islands and polar ice that we were repeatedly told would be gone by now are still there, and no closer to destruction.

The UN’s response to its failed predictions is simply to move the goal-posts, and make new dire predictions for some future date – in this case 2030. There is no reason to believe that this speculation will be any more accurate the ones that predicted human-induced climate catastrophes by certain dates, now passed.

But don’t be too frightened: the same governments who authorize the UN reports never take the steps needed to reduce the supposedly horrifying carbon dioxide level. Hidden behind their teeth-chattering fear of fossil fuels is their awareness that oil, gas, and coal have helped bring dramatic improvements in health, welfare, and life expectancy, and that alternative methods of generating power are currently available only at unacceptable economic (and hence political) cost.

Happy Halloween!

Caleb Rossiter, Ph.D., is the director of the American Exceptionalism Media Project, a fellow at The Texas Public Policy Foundation, and a former professor of statistics at American University.
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Old 11-15-2018, 07:31 AM   #1390
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Headline-Grabbing Global Warming Study Suffers From A Major Math Error

The media fawned over a recent global warming study that had a major math error, researchers found.

It turns out, the math error made it appear as if oceans warmed more than previously thought.

Major media outlets uncritically covered the study, sounding the alarm on global warming.


The recent headline-grabbing study that claimed global warming was heating the oceans up faster than expected suffers from a major math error, according to two researchers.

The study, which was published in a prestigious scientific journal at the end of October, put forward results suggesting global warming was much worse than previously believed. The media ate the results up.

Independent scientist Nic Lewis found the study had “apparently serious (but surely inadvertent) errors in the underlying calculations.” Lewis’ findings were quickly corroborated by another researcher.

Numerous media outlets uncritically highlighted the study’s findings. The Washington Post, for example, reported the work suggested “Earth could be set to warm even faster than predicted.”

The Post’s coverage of the “startling” climate study was echoed by The New York Times, which claimed the study suggested global warming “has been more closely in line with scientists’ worst-case scenarios.”

The BBC warned “[t]his could make it much more difficult to keep global warming within safe levels this century.”

However, Lewis found the new paper’s findings stemmed from a math error. Lewis said “a quick review of the first page of the paper was sufficient to raise doubts as to the accuracy of its results.”

“Just a few hours of analysis and calculations, based only on published information, was sufficient to uncover apparently serious (but surely inadvertent) errors in the underlying calculations,” Lewis wrote in a blog post published on climate scientist Judith Curry’s website.

Lewis found the study’s authors, led by Princeton University scientist Laure Resplandy, erred in calculating the linear trend of estimated ocean warming between 1991 and 2016. Lewis has also criticized climate model predictions, which generally over-predict warming.

Resplandy and her colleagues estimated ocean heat by measuring the volume of carbon dioxide and oxygen in the atmosphere. The results: the oceans took up 60 percent more heat than previously thought. The study only sent alarm bells ringing, especially in the wake of the United Nations’ latest climate assessment.

“The planet warmed more than we thought. It was hidden from us just because we didn’t sample it right. But it was there. It was in the ocean already,” Resplandy told The Post at the end of October.

After correcting for the error, however, Lewis found the paper’s ocean warming rate “is about average compared with the other estimates they showed, and below the average for 1993–2016.”

Lewis’ results were replicated by University of Colorado professor Roger Pielke, Jr., who shared his analysis via Twitter on Tuesday.




These "accidents" are always on one side, and they always get published, and always get reported. Seems like maybe there might be a lack of scientific method and peer review in the industry. Note that I said "industry", not "field of science". That's what it is. That's why the errors will not be reported in the press, and the study will continue to be used as if it is factual and scientific...because it is a religion, not a science.

Pielke confirmed the linear trends reported by Resplandy and her colleagues stemmed from “a big error at the core of paper’s findings.”




Resplandy and her co-authors hoped their study would resolve problems many scientists have with measuring ocean temperatures before the use of Argo floats in 2007. Before then, scientists patched together data from boat engine intakes, buckets and buoys to measure ocean heat.

However, Resplandy did not respond to Lewis about the errors he found in her paper.

“To date I have had no substantive response from her, despite subsequently sending a further email containing the key analysis sections from a draft of this article,” Lewis wrote on Tuesday.




Neither Resplandy nor co-author Ralph Keeling responded to The Daily Caller News Foundation’s request for comment.

Thou shalt not question Global Warming! HEATHENS!

https://dailycaller.com/2018/11/07/g...-oceans-error/
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Old 11-19-2018, 12:22 PM   #1391
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Climate Scientists Discover Error in Major Ocean-Warming Study

Two researchers have been forced to issue a major correction to a recent study indicating oceans have been warming at a significantly higher rate than previously thought due to climate change.
The paper, published October 31 in the scientific journal Nature, suggested ocean temperatures have risen roughly 60 percent higher than estimated by the UN Intergovernmental Panel on Climate Change (IPCC). But, after errors in the authors’ methodology were identified, they realized their findings were roughly in line with those of the IPCC, after all.
The researchers’ alarming findings were uncritically reported by numerous mainstream-media outlets but Nic Lewis, a mathematician and popular critic of the consensus on man-made climate change, quickly identified errors.

“The findings of the . . . paper were peer reviewed and published in the world’s premier scientific journal and were given wide coverage in the English-speaking media,” Lewis wrote in a critique of the paper. “Despite this, a quick review of the first page of the paper was sufficient to raise doubts as to the accuracy of its results.”

Ralph Keeling, a climate scientist at the Scripps Institution of Oceanography who co-authored the paper, said he and his partner, Laure Resplandy of Princeton, quickly realized the implications of their mistake once Lewis pointed it out. “When we were confronted with his insight it became immediately clear there was an issue there,” he said. “We’re grateful to have it be pointed out quickly so that we could correct it quickly.”

After correcting their mistake, Keeling said their research indicates oceans are warming only slightly faster than previously thought, not dramatically faster as they initially reported. Keeling said the miscalculation was made when they were calculating their margin of error, which had a larger range (10 to 70 percent) than they initially believed.
“Our error margins are too big now to really weigh in on the precise amount of warming that’s going on in the ocean,” Keeling said. “We really muffed the error margins.”

The IPCC released a report last month calling on governments to take drastic action to combat climate change. According to the report, global carbon emissions must be cut by 20 percent by 2030 and completely eliminated by 2075 in order to prevent temperatures from rising two degrees above pre-industrial levels, at which point coastal areas would be completely flooded and hundreds of millions of people would be in danger of starvation.
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Old 11-19-2018, 12:53 PM   #1392
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It appear everything coming out of the IPCC is flawed, incorrect, misleading or intentionally false for anyone to put any stock in their reports.
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Old 11-19-2018, 01:41 PM   #1393
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Old 11-19-2018, 01:49 PM   #1394
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It appear everything coming out of the IPCC is flawed, incorrect, misleading or intentionally false for anyone to put any stock in their reports.
That's what you get when oyu mix politics and science. It's a variation of mixing religion with science....just a different religion.

They even use the same language.
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Old 11-19-2018, 01:57 PM   #1395
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Yea, no need to fret about any of this.......

https://www.nbcnews.com/news/us-news...damage-n937396
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