Temperature records

This thread is for discussion of climatic temperature records, global and regional.


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Richard C (NZ)
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‘Australian Met Office Accused Of Manipulating Temperature Records’ Date: 23/08/14 Graham Lloyd, The Australian The [Australian] Bureau of Meteorology has been accused of manipulating historic temperature records to fit a predetermined view of global warming. Researcher Jennifer Marohasy claims the adjusted records resemble “propaganda” rather than science. Dr Marohasy has analysed the raw data from dozens of locations across Australia and matched it against the new data used by BOM showing that temperatures were progressively warming. In many cases, Dr Marohasy said, temperature trends had changed from slight cooling to dramatic warming over 100 years. BOM has rejected Dr Marohasy’s claims and said the agency had used world’s best practice and a peer reviewed process to modify the physical temperature records that had been recorded at weather stations across the country. It said data from a selection of weather stations underwent a process known as “homogenisation” to correct for anomalies. It was “very unlikely” that data homogenisation impacted on the empirical outlooks. In a statement to The Weekend Australian BOM said the bulk of the scientific literature did not support the view that data homogenisation resulted in “diminished physical veracity in any particular… Read more »

Richard C (NZ)
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Richard C (NZ)

”The heat is on. Bureau of Meteorology ‘altering climate figures’ — The Australian’ Joanne Nova, August 23rd, 2014 Congratulations to The Australian again for taking the hard road and reporting controversial, hot, documented problems, that few in the Australian media dare to investigate. How accurate are our national climate datasets when some adjustments turn entire long stable records from cooling trends to warming ones (or visa versa)? Do the headlines of “hottest ever record” (reported to a tenth of a degree) mean much if thermometer data sometimes needs to be dramatically changed 60 years after being recorded? One of the most extreme examples is a thermometer station in Amberley, Queensland where a cooling trend in minima of 1C per century has been homogenized and become a warming trend of 2.5C per century. This is a station at an airforce base that has no recorded move since 1941, nor had a change in instrumentation. It is a well-maintained site near a perimeter fence, yet the homogenisation process produces a remarkable transformation of the original records, and rather begs the question of how accurately we know Australian trends at all when the thermometers are seemingly… Read more »

Richard C (NZ)
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Richard C (NZ)

“Star pick” comment at JoNova above:

EternalOptimist #5
August 23, 2014 at 4:53 am · Reply

star comment
Years ago, I used to look at my thermometer to see how warm it was. Now I have to wait 60 years to find out. thats not progress

http://joannenova.com.au/2014/08/the-heat-is-on-bureau-of-meteorology-altering-climate-figures-the-australian/#comment-1545646

Richard C (NZ)
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Richard C (NZ)

‘How Australia’s Bureau of Meteorology is Turning Up The Heat’ Written by Graham Lloyd, Australian on 24 August 2014. When raging floodwaters swept through Brisbane in January 2011 they submerged a much-loved red Corvette sports car in the basement car park of a unit in the riverside suburb of St Lucia. On the scale of the billions of dollars worth of damage done to the nation’s third largest city in the man-made flood, the loss of a sports car may not seem like much. But the loss has been the catalyst for an escalating row that ­raises questions about the competence and integrity of Australia’s premier weather agency, the Bureau of Meteorology, stretching well beyond the summer storms. It goes to heart of the climate change debate — in particular, whether computer models are better than real data and whether temperature records are being manipulated in a bid to make each year hotter than the last. With farmer parents, researcher Jennifer Marohasy says she has always had a fascination with rainfall and drought-flood ­cycles. So, in a show of solidarity with her husband and his sodden Corvette, Marohasy began researching the temperature records… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Heat is on over weather bureau ‘homogenising temperature records’ Written by Dr Jennifer Marohasy on 24 August 2014. EARLIER this year Tim Flannery said “the pause” in global warming was a myth, leading medical scientists called for stronger action on climate change, and the Australian Bureau of Meteorology declared 2013 the hottest year on record. All of this was reported without any discussion of the actual temperature data. It has been assumed that there is basically one temperature series and that it’s genuine. But I’m hoping that after today, with both a feature (page 20) and a news piece (page 9) in The Weekend Australia things have changed forever. I’m hoping that next time Professor Flannery is interviewed he will be asked by journalists which data series he is relying on: the actual recorded temperatures or the homogenized remodeled series. Because as many skeptics have known for a long time, and as Graham Lloyd reports today for News Ltd, for any one site across this wide-brown land Australia, while the raw data may show a pause, or even cooling, the truncated and homogenized data often shows dramatic warming. When I first sent Graham… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Australian Bureau of Meteorology accused of Criminally Adjusted Global Warming’ Written by James Delingpole, Breitbart London on 25 August 2014. The Australian Bureau of Meteorology has been caught red-handed manipulating temperature data to show “global warming” where none actually exists. At Amberley, Queensland, for example, the data at a weather station showing 1 degree Celsius cooling per century was “homogenized” (adjusted) by the Bureau so that it instead showed a 2.5 degrees warming per century. At Rutherglen, Victoria, a cooling trend of -0.35 degrees C per century was magically transformed at the stroke of an Australian meteorologist’s pen into a warming trend of 1.73 degrees C per century. Last year, the Australian Bureau of Meteorology made headlines in the liberal media by claiming that 2013 was Australia’s hottest year on record. This prompted Australia’s alarmist-in-chief Tim Flannery – an English literature graduate who later went on to earn his scientific credentials with a PhD in palaeontology, digging up ancient kangaroo bones – to observe that global warming in Australia was “like climate change on steroids.” But we now know, thanks to research by Australian scientist Jennifer Marohasy, that the hysteria this story generated… Read more »

Richard C (NZ)
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Richard C (NZ)

‘BOM finally explains! Cooling changed to warming trends because stations “might” have moved!’ by Joanne Nova, August 26th, 2014 It’s the news you’ve been waiting years to hear! Finally we find out the exact details of why the BOM changed two of their best long term sites from cooling trends to warming trends. The massive inexplicable adjustments like these have been discussed on blogs for years. But it was only when Graham Lloyd advised the BOM he would be reporting on this that they finally found time to write three paragraphs on specific stations. Who knew it would be so hard to get answers. We put in a Senate request for an audit of the BOM datasets in 2011. Ken Stewart, Geoff Sherrington, Des Moore, Bill Johnston, and Jennifer Marohasy have also separately been asking the BOM for details about adjustments on specific BOM sites. (I bet Warwick Hughes has too). The BOM has ignored or circumvented all these, refusing to explain why individual stations were adjusted in detail. The two provocative articles Lloyd put together last week were Heat is on over weather bureau and Bureau of Meteorology ‘altering climate figures, which… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Who’s going to be sacked for making-up global warming at Rutherglen?’ By Jennifer Marohasy on August 27, 2014 HEADS need to start rolling at the Australian Bureau of Meteorology. The senior management have tried to cover-up serious tampering that has occurred with the temperatures at an experimental farm near Rutherglen in Victoria. Retired scientist Dr Bill Johnston used to run experiments there. He, and many others, can vouch for the fact that the weather station at Rutherglen, providing data to the Bureau of Meteorology since November 1912, has never been moved. Senior management at the Bureau are claiming the weather station could have been moved in 1966 and/or 1974 and that this could be a justification for artificially dropping the temperatures by 1.8 degree Celsius back in 1913. Surely its time for heads to roll! [See Rutherglen graph] Some background: Near Rutherglen, a small town in a wine-growing region of NE Victoria, temperatures have been measured at a research station since November 1912. There are no documented site moves. An automatic weather station was installed on 29th January 1998. Temperatures measured at the weather station form part of the ACORN-SAT network, so the… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Big adjustments? BOM says Rutherglen site shifted, former workers there say “No” ‘ by Joanne Nova, August 27th, 2014 The hot questions for the Australian Bureau of Meteorology (BOM) mount up. Rutherglen was one of the temperature recording stations that was subject to large somewhat mysterious adjustments which turned a slight cooling trend into a strongly warming one. Yet the official notes showed that the site did not move and was a continuous record. On paper, Rutherglen appeared to be ideal — a rare long rural temperature record where measurements had come from the same place since 1913. The original cooling trend of – 0.35C was transformed into a +1.73C warming after “homogenisation” by the BOM. To justify that the BOM claims that there may have been an unrecorded shift, and it was “consistent” with the old station starting further up the slope before it moved down to the hollow. Today retired scientist Bill Johnston got in touch with Jennifer Marohasy, with me and with Graham Lloyd of The Australian to say that he worked at times at Rutherglen and the official thermometer had not moved. It was always placed where it is… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Uninformed climate amateurs ask professionals to explain their data revision’ by Joanne Nova, August 28th, 2014 David Karoly knew he had to defend the BOM with regard to the hot questions about adjustments to Amberley, Bourke, and Rutherglen data. What he didn’t have were photos of historic equipment, maps of thermometer sites, or quotes from people who took observations. Instead he wielded the magic wand of “peer review” — whereupon questions asked in English are rendered invalid if they are printed in a newspaper instead of a trade-magazine. Prof David Karoly, Climate Professional called people who ask for explanations poorly informed amateurs [hotlink, paywall, see below]. In response, we Poorly Informed Climate Amateurs wonder what it takes to get Climate Professionals to inform us? Instead of hiding behind ‘peer review’, vague complex methods, and the glow of their academic aura, the professionals could act professional and explain exactly what they did to the data? […] The articles by Graham Lloyd on Jennifer Marohasy’s analysis are generating debate. Letters to The Australian [hotlink, see below] 28th August 2014 Bill Johnston, former NSW natural resources research scientist, Cook, ACT……. Michael Asten, School of Earth Atmosphere… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Rewriting the History of Bourke: Part 2, Adjusting Maximum Temperatures Both Down and uP, and Then Changing Them Altogether’

By Jennifer Marohasy on April 6, 2014

“Anyone who doesn’t take truth seriously in small matters cannot be trusted in large ones either.” Albert Einstein.

[…] In a report entitled ‘Techniques involved in developing the Australian Climate Observation Reference Network – Surface Air Temperature (ACORN-SAT) dataset’ (CAWCR Technical Report No. 049), Blair Trewin explains that up to 40 neighbouring weather stations can be used for detecting inhomogeneities and up to 10 can be used for adjustments. What this means is that temperatures, ever so diligently recorded in the olden days at Bourke by the postmaster, can be change on the basis that it wasn’t so hot at a nearby station that may in fact be many hundreds of kilometres away, even in a different climate zone.

Consider the recorded versus adjusted values for January 1939, Table 1. The recorded values have been changed. And every time the postmaster recorded 40 degrees, Dr Trewin has seen fit to change this value to 39.1 degree Celsius. Why?

http://jennifermarohasy.com/2014/04/rewriting-the-history-of-bourke-part-2-adjusting-maximum-temperatures-both-down-and-up-and-then-changing-them-altogether/

Richard C (NZ)
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Richard C (NZ)

Rutherglen

[From ‘Temperatures’ at Jennifer Marohasy’s blog]

NEAR Rutherglen, a small town in a wine-growing region of northeastern Victoria, temperatures have been measured at a research station since November 1912. There are no documented site moves. An automatic weather station was installed on 29th January 1998.

Temperatures measured at the weather station form part of the ACORN-SAT network, so the information from this station is homogenized before inclusion into the official record that is used to calculate temperature trends for Victoria and also Australia.

The unhomogenized/raw mean annual minimum temperature trend for Rutherglen for the 100-year period from January 1913 through to December 2013 shows a slight cooling trend of 0.35 degree C per 100 years, see Figure 1. After homogenization there is a warming trend of 1.73 degree C per 100 years. This warming trend is essentially achieved by progressively dropping down the temperatures from 1973 back through to 1913. For the year of 1913 the difference between the raw temperature and the ACORN-SAT temperature is a massive 1.8 degree C.

Continues >>>>>> (see graphs)

http://jennifermarohasy.com/temperatures/rutherglen/

Richard C (NZ)
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Richard C (NZ)

‘Modelling Australian and Global Temperatures: What’s Wrong?’
Bourke and Amberley as Case Studies

Jennifer Marohasy, John Abbot, Ken Stewart and Dennis Jensen,

Also published in The Sydney Papers Online, Issue 26 following a presentation for the Sydney Institute on 25th June 2014

http://jennifermarohasy.com/wp-content/uploads/2011/08/Changing_Temperature_Data.pdf

Richard C (NZ)
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Richard C (NZ)

‘Hiding something? BOM throws out Bourke’s hot historic data, changes long cooling trend to warming’

JoNova, August 30th, 2014

Hello Soviet style weather service? On January 3, 1909, an extremely hot 51.7C (125F) was recorded at Bourke. It’s possibly the hottest ever temperature recorded in a Stevenson Screen in Australia, but the BOM has removed it as a clerical error. There are legitimate questions about the accuracy of records done so long ago — standards were different. But there are very legitimate questions about the BOMs treatment of this historic data. ‘The BOM has also removed the 40 years of weather recorded before 1910, which includes some very hot times. Now we find out the handwritten original notes from 62 years of the mid 20th Century were supposed to be dumped in 1996 as well. Luckily, these historic documents were saved from the dustbin and quietly kept in private hands instead.

More>>>>>>>

http://joannenova.com.au/2014/08/hiding-something-bom-throws-out-bourkes-hot-historic-data-changes-long-cooling-trend-to-warming/

Richard C (NZ)
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Richard C (NZ)

‘Newspapers as the guardians of hot history’

By Jennifer Marohasy

[…] I went and checked not only the old newspapers but also the book in the national archive, because, guess what? The Bureau of Meteorology is claiming it was all a clerical error. They have scratched this record made on 3rd January 1909 from the official record for Bourke, which means it’s also scratched from the NSW and national temperature record.

Yep. It never happened. No heatwave back in 1909.

They have also wiped the heatwave of January 1896. This was probably the hottest January on record, not just for Bourke, but Australia-wide. Yet according to the rules dictated by the Bureau, if it was recorded before 1910, it doesn’t count.

http://jennifermarohasy.com/2014/09/newspapers-as-the-guardians-of-hot-history/

‘1953 Headline: Melbourne’s weather is changing! Summers getting colder and wetter’

By Joanne Nova

Once upon a time — before the Great Politicization of Climate Science — CSIRO was able to analyze trends from 1880 to 1910. In 1953 CSIRO scientists were making a case that large parts of Australia had been hotter in the 1880s and around the turn of last century. >>>>>

http://joannenova.com.au/2014/09/1953-headline-melbournes-weather-is-changing-summers-getting-colder-and-wetter/#more-38262

Richard C (NZ)
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Richard C (NZ)

‘Bureau of Meteorology warms to transparency over adjusted records’

Graham Lloyd, The Australian
September 11, 2014 12:00AM [Paywall]

THE Bureau of Meteorology has been forced to publish details of all changes made to historic temperature records as part of its homogenisation process to establish the nation’s climate change trend. Publication of the reasons for all data adjustments was a key recommendation of the bureau’s independent peer review panel which approved the bureau’s ACORN SAT methodology.

http://www.theaustralian.com.au/national-affairs/climate/bureau-of-meteorology-warms-to-transparency-over-adjusted-records/story-e6frg6xf-1227054494820

‘Scientists should know better: the truth was out there’

Graham Lloyd, The Australian
September 11, 2014 12:00AM [Paywall]

IT reflects poorly on key members of Australia’s climate science establishment that tribal loyalty is more important than genuine inquiry. Openness not ad hominem histrionics was always the answer for lingering concerns about what happened to some of the nation’s temperature records under the Bureau of Meteorology’s process of homogenisation.

http://www.theaustralian.com.au/national-affairs/opinion/scientists-should-know-better-the-truth-was-out-there/story-e6frgd0x-1227054494459

Richard C (NZ)
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Richard C (NZ)

‘Understanding adjustments to temperature data’ by Zeke Hausfather Pairwise Homogenization Algorithm (PHA) Adjustments The Pairwise Homogenization Algorithm [hotlink #1 – see below] was designed as an automated method of detecting and correcting localized temperature biases due to station moves, instrument changes, microsite changes, and meso-scale changes like urban heat islands. The algorithm (whose code can be downloaded here [hotlink] is conceptually simple: it assumes that climate change forced by external factors tends to happen regionally rather than locally. If one station is warming rapidly over a period of a decade a few kilometers from a number of stations that are cooling over the same period, the warming station is likely responding to localized effects (instrument changes, station moves, microsite changes, etc.) rather than a real climate signal. To detect localized biases, the PHA iteratively goes through all the stations in the network and compares each of them to their surrounding neighbors. It calculates difference series between each station and their neighbors (separately for min and max) and looks for breakpoints that show up in the record of one station but none of the surrounding stations. These breakpoints can take the form of both… Read more »

Richard C (NZ)
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Richard C (NZ)

>”Following Lund et al. (2007)” Typo, the paper is actually: Lund, R., and J. Reeves, 2002: Detection of undocumented changepoints: A revision of the two-phase regression model. J. Climate, 15, 2547–2554. http://rmgsc.cr.usgs.gov/outgoing/threshold_articles/Lund_Reeves2002.pdf This seems to be the 95th Percentile Matching (PM-95) method that BOM uses for ACORN-SAT except it’s not an X to Y neighbour comparison as in BOM’s method. 2. An Fmax test statistic We start with the simple two-phase linear regression scheme for a climatic series {Xt} considered by Solow (1987), Easterling and Peterson (1995), and Vincent (1998; among others). This model can be written in the form: Xt = [model] (2.1) where {et} is mean zero independent random error with a constant variance. The model in (2.1) is viewed as a classic simple linear regression that allows for two phases. This allows for both step- (u1 ± u2) and trend- (a1 ± a2) type changepoints. Specifically, the time c is called a changepoint in (2.1) if u1 ± u2 and/or a1 ± a2. In most cases, there will be a discontinuity in the mean series values at the changepoint time c, but this need not always be so (Fig. 10… Read more »

Richard C (NZ)
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Richard C (NZ)

Cross-reference to the 7SS k=1/2 vs k=4+ discussion here:

Critical debating points answered – Part 1

https://www.climateconversation.org.nz/2014/11/critical-debating-points-answered-part-1/#comment-1251101

Richard C (NZ)
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Richard C (NZ)

‘Massive Tampering With Temperatures In South America’ By Paul Homewood, January 20, 2015 One of the regions that has contributed to GISS’ “hottest ever year” is South America, particularly Brazil, Paraguay and the northern part of Argentina. In reality, much of this is fabricated, as they have no stations anywhere near much of this area, as NOAA show below. Nevertheless, there does appear to be a warm patch covering Paraguay and its close environs. However, when we look more closely, we find things are not quite as they seem. [See data coverage graph] There are just three genuinely rural stations in Paraguay that are currently operating – Puerto Casado, Mariscal and San Juan. They all show a clear and steady upward trend since the 1950’s, with 2014 at the top, for instance at Puerto Casada: [graph] It could not be more clearcut, could it? However, it all looks a bit too convenient, so I thought I would check out the raw data (which is only available up to 2011 on the GISS site, so the last three years cannot be compared). Lo and behold! [graph] As we so often see, the past has… Read more »

Richard C (NZ)
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Richard C (NZ)

Delingpole on Paraquay:

‘Forget Climategate: this ‘global warming’ scandal is much bigger’

https://wp.breitbart.com/london/2015/01/30/forget-climategate-this-global-warming-scandal-is-much-bigger/

Richard C (NZ)
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Richard C (NZ)

‘Cooling The Past In Bolivia’

By Paul Homewood, January 30, 2015

https://notalotofpeopleknowthat.wordpress.com/2015/01/30/cooling-the-past-in-bolivia/

Richard C (NZ)
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Richard C (NZ)

From the above post, Paul Homewood’s recent temperature record posts can be accessed:

Recent Posts
How GHCN Keep Rewriting Reykjavik History
Cooling The Past In Bolivia
Cooling The Past In San Diego
Greene Hypocrisy
Higher Snowfalls Due to Change In Measurement, Not Global Warming.
Temperature Adjustments Around The World
Shub Niggurath On The Paraguayan Adjustments

Richard C (NZ)
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Richard C (NZ)

From above: ‘Temperature Adjustments Around The World’ – Paul Homewood https://notalotofpeopleknowthat.wordpress.com/2015/01/29/temperature-adjustments-around-the-world/ It is often claimed that these adjustments are needed to “correct” errors in the historic record, or compensate for station moves. All of which makes the adjustment at Valentia Observatory even more nonsensical [old vs new]. ?w=750&h=507 Valentia Observatory, situated in SW Ireland, is regarded as one of the highest quality meteorological stations in the world, located at the same site since 1892, well away from any urban or other non climatic biases. The Irish Met Office say this:- “Since the setting up of the Irish Meteorological Service, the work programme of the Observatory has greatly expanded and it has always been equipped with the most technologically advanced equipment and instrumentation. The Observatory is well known and very highly regarded by the scientific community. As well as fulfilling its national and international role within Met Éireann it is involved in many projects with other scientific bodies both in Ireland and abroad.” If we cannot get accurate temperature trends in Valentia, we cannot get them anywhere. Yet the GHCN algorithm decides that the actual temperatures measured there do not look right, and lops… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Temperature Adjustments Transform Arctic Climate History’

By Paul Homewood, February 4, 2015

[…] We saw previously how the temperature history for Paraguay, and a large slice of the surrounding region, had been altered as a result of temperature adjustments, which had significantly reduced historic temperatures and changed a cooling trend into a warming one.

I can now confirm that similar “cooling the past” adjustments have been carried out in the Arctic region, and that the scale and geographic range of these is breathtaking. Nearly every current station from Greenland, in the west, to the heart of Siberia (87E), in the east, has been altered in this way. The effect has been to remove a large part of the 1940’s spike, and as consequence removed much of the drop in temperatures during the subsequent cold decades.

See graphs and comments by Trausti Jonsson, senior meteorologist at the Iceland Met Office>>>>>>>
https://notalotofpeopleknowthat.wordpress.com/2015/02/04/temperature-adjustments-transform-arctic-climate-history/

Richard C (NZ)
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Richard C (NZ)

‘Another Smoking Gun That NCDC Temperature Adjustments Are Incorrect’

Posted on February 5, 2015 by Steven Goddard

Yesterday I showed how 100% of US warming since 1990 is due to NCDC filling in fake temperatures for missing data. The actual measured data shows no warming

See gif: Measured vs No Underlying Data

See graph: Percent Of USHCN Final Temperatures Which Are “Estimated” [over 50%]

The next step is to look at the correlation between how much infilling is being done vs. the divergence between estimated temperatures and measured.

See graph

There is a very good correlation between infilling and inflated temperatures. The more fake data they generate, the larger the divergence in temperature vs. measured. This is likely due to loss of data at rural stations, which are now being doubly contaminated by gridded and infilled urban temperatures.

https://stevengoddard.wordpress.com/2015/02/05/another-smoking-gun-that-ncdc-temperature-adjustments-are-incorrect/

Richard C (NZ)
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Richard C (NZ)

‘Cooling The Past In New Zealand’ By Paul Homewood, February 9, 2015 In case you thought widespread temperature adjustments were confined to the Arctic and South America, consider again. Apparently, New Zealand has caught Paraguayan fever! There are five stations currently operational under GHCN in New Zealand and surrounding islands. It will come as no great surprise now to learn that GHCN warming adjustments have been added to every single one. (Full set of graphs below). In all cases, other than Hokitika, the adjustment has been made in the mid 1970’s. This adjustment has been triggered by a drop in temperatures in 1976, as we can see with Gisborne, below. (The algorithm did not spot that temperatures recovered to previous levels two years later!) See graph: Raw Data, Gisborne Aero Was this temperature drop due to some local, non-climatic factor at Gisborne. Apparently not, because the same drop occurred at all eleven of the other NZ stations operating at that time. Below is a comparison of the unadjusted annual temperatures for 1975 and 1976. Station 1975 1976 Change Gisborne 14.37 13.37 -1.00 Napier 14.65 13.69 -0.96 New Plymouth 14.22 13.07 -1.15 Auckland 15.59… Read more »

Richard C (NZ)
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Richard C (NZ)

Gisborne Aero monthly plotted on this page (click graph to zoom in):

http://climate.unur.com/ghcn-v2/507/93292.html

There is no reason for a break between 1974 and 1979. But 1975/76 is only a 0.1 adjustment. There is a progressive cumulative adjustment in 0.1 increments adding to 0.7.

GISS raw monthly data (as plotted):
http://data.giss.nasa.gov/tmp/gistemp/STATIONS/tmp_507932920000_14_0/station.txt

GISS adj monthly data:
http://data.giss.nasa.gov/tmp/gistemp/STATIONS/tmp_507932920000_13_0/station.txt

See metANN column at far right of the data sheets.

At 1963 the cumulative adjustment is 0.7
At 1968 the cumulative adjustment is 0.6
At 1972 the cumulative adjustment is 0.5
At 1975 the cumulative adjustment is 0.4
At 1980 the cumulative adjustment is 0.3
At 1982 the cumulative adjustment is 0.2
At 1986 the cumulative adjustment is 0.1
At 2001 the cumulative adjustment is 0.1
At 2002 the cumulative adjustment is 0.0

There is no valid reason for adjustments of this nature. And there is no resemblance to the BEST adjustments: http://berkeleyearth.lbl.gov/stations/157058

Duplicated at Paul Homewood’s.

Richard C (NZ)
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Richard C (NZ)

For some reason the GISS Gisborne Aero data sheet URLs return “Not found” sorry. Deleting “http://” works for the adjusted data, but for the raw data start at this page:

http://data.giss.nasa.gov/gistemp/station_data/

Select “after removing suspicious records” and then “Download monthly data as text”

I would point out that over the GISS period of Gisborne Aero dataset adjustments of which there appear to be about 7 in total 1962 – 2002, BEST make no adjustments whatsoever over the same period.

Richard C (NZ)
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Richard C (NZ)

The GISS Gisborne Aero 1973 cumulative adjustment is 0.5 1973 monthly raw (top) vs adjusted (bottom) 19.4 18.5 16.2 14.6 12.7 10.0 8.6 10.5 12.3 14.2 17.2 17.2 18.9 18.0 15.7 14.1 12.2 9.5 8.1 10.0 11.8 13.7 16.7 16.8 0.5 difference for every month The 1974 – 1977 range of common cumulative adjustment is 0.4 1974 monthly raw (top) vs adjusted (bottom) 17.7 20.6 15.1 14.8 11.2 10.1 10.1 8.9 12.1 13.6 15.5 17.8 17.3 20.2 14.7 14.4 10.8 9.7 9.7 8.5 11.7 13.2 15.1 17.4 0.4 difference for every month 1977 monthly raw (top) vs adjusted (bottom) 18.4 18.9 17.8 14.5 10.9 10.1 9.4 10.4 10.2 13.4 14.9 17.5 18.0 18.5 17.4 14.1 10.5 9.7 9.0 10.0 9.8 13.0 14.5 17.2 0.4 difference for every month The 1978 cumulative adjustment is 0.3 1978 monthly raw (top) vs adjusted (bottom) 19.2 19.5 17.6 16.4 12.0 10.0 9.7 10.3 11.3 12.0 16.0 18.0 18.9 19.2 17.3 16.1 11.7 9.7 9.4 10.0 11.0 11.7 15.7 17.7 0.3 difference for every month Apparently, according to GISS (but not BEST), there were 2 distinct 0.1 steps from 1978 to 1977 and from 1974 to 1973. Similarly… Read more »

Richard+C+(NZ)
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Richard+C+(NZ)

Cross-reference to ‘Scandel heating up’:

https://www.climateconversation.org.nz/2015/02/scandal-heating-up/

Covers GISS and BEST adjustments at Puerto Casado, Paraguay and Gisborne Aero, New Zealand along with links to the Climate Etc discussion and a bunch of other stuff.

Richard C (NZ)
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Richard C (NZ)

‘Temperature adjustments in Australia’ by Euan Mearns, March 17, 2015 […] Using the excellent web platform provided by NASA GISS it is possible to access GHCN V2 and GHCN v3 records, compare charts and download the data. It does not take long to find V3 records that appear totally different to V2 and I wanted to investigate this further. At this point I was advised that the way homogenisation works is to adjust records in such a way that a warming trend added in one station is compensated by cooling added to another. This didn’t sound remotely scientific to me but I clicked on Alice Springs in the middle of Australia and recovered 30 V2 and V3 records in a 1000 km radius and set about a systematic comparison of the two. The results are described in detail below. In summary I found that while individual stations are subject to large and what often appears to be arbitrary and robotic adjustments in V3, the average outcome across all 30 stations is effectively zero. At the regional level, homogenisation does not appear to be responsible for adding warming in Australia. But the thing that… Read more »

Richard C (NZ)
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Richard C (NZ)

‘New paper finds a large warming bias in Northern Hemisphere temperatures from ‘non-valid’ station data’ The Hockey Shtick, May 28, 2015 A new paper published in the Journal of Atmospheric and Solar-Terrestrial Physics finds that the quality of Northern Hemisphere temperature data has significantly & monotonically decreased since the year 1969, and that the continued use of ‘non-valid’ weather stations in calculating Northern Hemisphere average temperatures has created a ‘positive bias’ and “overestimation of temperatures after including non-valid stations.” The paper appears to affirm a number of criticisms of skeptics that station losses, fabricated/infilled data, and positively-biased ‘adjustments’ to temperature data have created a positive skew to the data and overestimation of warming during the 20th and 21st centuries. Graphs from the paper below show that use of both valid and ‘non-valid’ station data results in a mean annual Northern Hemisphere temperature over 1C warmer at the end of the record in 2013 as compared to use of ‘valid’ weather station data exclusively. [snip] Extraction of the global absolute temperature for Northern Hemisphere using a set of 6190 meteorological stations from 1800 to 2013 Demetris T. Christopoulos Highlights • Introduce the concept of… Read more »

Richard C (NZ)
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Richard C (NZ)

Interesting trends over regions in the new UAH Version 6.0 data:

http://www.reportingclimatescience.com/typo3temp/pics/d28b843ac4.jpg

NE USA up to NW Canada and Alaska (a little above trendless) completely different to SW USA (warming).

China and Japan only a little above trendless.

Radical warming Australia, Eastern Europe, NE Canada, Africa, Sth America. Arctic.

Vast areas of ocean trendless.

Some cooling across Antarctica.

http://www.reportingclimatescience.com/news-stories/article/new-analysis-brings-uah-temperatures-closer-to-rss.html

Richard C (NZ)
Guest
Richard C (NZ)

‘The Official Iceland Temperature Series – 2015’ January 12, 2016 by Paul Homewood In most parts of Iceland, last year was the coldest since 2000, in marked contrast to 2014. The Iceland Temperature Series below is built up from the seven following sites, which have long running, high quality temperature records back to 1931 and earlier. They also present a reasonable geographic distribution. It is also important to note that the temperature data has been carefully homogenised over the years by the Iceland Met Office, to adjust for station moves, equipment changes etc. (For more detail, see here). Reykjavik Stykkisholmur Akureyri Grimsstadir Storhofoi Teigarhorn Haell […see graph…] The warm years of the 1930’s and 40’s, and much colder ones that followed clearly correlate with the AMO cycle. Although the warmth has been more persistent in the last decade, only one year, 2014, has been warmer than those earlier years. There is no evidence to suggest that temperature trends will increase in the next few years, and much to suggest that Iceland will suffer from a return of a very cold climate once the AMO turns cold again. We can see the same patterns… Read more »

Richard C (NZ)
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Richard C (NZ)

Spectacular NOAA Temperature Fraud In Michigan

February 1, 2016 by tonyheller

Below is plotted all of the currently active individual USHCN stations in Michigan. There is only one station which shows net warming since the 1950s (Mt. Pleasant) and that one appears to have a discontinuity at 1995 causing the problem.

The NOAA hockey stick in Michigan is completely fake. It has no basis in reality.

http://realclimatescience.com/2016/02/spectacular-noaa-temperature-fraud-in-michigan/

Richard C (NZ)
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Richard C (NZ)

Are land + sea temperature averages meaningful? by Greg Goodman Rate of change in global temperature datasets The rate of change of near surface land air temperature as estimated in the Berkeley “BEST” dataset is very similar to the rate of change in the sea surface temperature record, except that it shows twice the rate of change. Sea water has a specific heat capacity about 4 times that of rock. This means that rock will change in temperature four times more than water for the same change in thermal energy, for example from incoming solar radiation. Since soil, in general, is a mix of fine particles of rock and organic material with a significant water content. The two temperatures records are consistent with the notion of considering land as ‘moist rock’. This also partly explains the much larger temperature swings in desert regions: the temperature of dry sand will change four times faster than ocean water and be twice as volatile as non-desert land regions. This also underlines why is it inappropriate to average land and sea temperatures as is done in several recognised global temperature records such as HadCRUT4 ( a bastard… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Historical Station Distribution’ Climate Audit, 2009 In his comment to How much Estimation is too much Estimation?, Anthony Watts suggested I create a scatter plot showing station distribution with latitude/longitude. It turned out not to be the ordeal I thought it might be, so I have posted some of the results in this thread. I started with 1885 and created a plot every 20 years, ending in 2005. I deliberately ended with 2005 because this is the final year in the GHCN record prior to the US station die-off of 2006. Every dot on a plot represents a station, not a scribal record. Stations may be comprised of multiple records. A blue dot represents a station with an annual average that was fully calculated from existing monthly averages. A red dot represents a station that had missing monthly averages for that year, so the annual average had to be estimated. Stations that had insufficient data to estimate an annual average are not shown. In the case where multiple scribal records exist for a station in the given year, I assigned a blue dot if all records were fully calculated from existing averages, a… Read more »

Richard C (NZ)
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Richard C (NZ)

‘The Great Dying of Thermometers’

JoNova, 2010

It’s like watching the lights go out over the West. Sinan Unur has mapped the surface stations into a beautiful animation. His is 4 minutes long and spans from 1701-2010. I’ve taken some of his snapshots and strung them into a 10 second animation.

You can see as development spreads across the world that more and more places are reporting temperatures. It’s obvious how well documented temperatures were (once) in the US. The decay of the system in the last 20 years is stark.

Continues>>>>>
http://joannenova.com.au/2010/05/the-great-dying-of-thermometers/

Richard C (NZ)
Guest
Richard C (NZ)

‘The ‘Karlization’ of global temperature continues – this time RSS makes a massive upwards adjustment’ Anthony Watts / 7 hours ago March 2, 2016 http://wattsupwiththat.com/2016/03/02/the-karlization-of-global-temperature-continues-this-time-rss-makes-a-massive-upwards-adjustment/ # # # Mears and Wentz aper was rejected by the first Journal where it was submitted. Spencer: “The paper is for MT, not LT…but I think we can assume that changes in one will be reflected in the other when Mears completes their analysis. From what little we have looked at so far, it appears that they did not correct for spurious warming in NOAA-14 MSU relative to NOAA-15 AMSU…see their Fig. 7c. They just leave it in. Since this spurious warming is near the middle of the whole time period, this shifts the second half of the satellite record warmer when NOAA-14 MSU (the last in the MSU series) is handed off to NOAA-15 AMSU (the first in the AMSU series). Why do we think NOAA-14 MSU is at fault? 1) AMSU is supposed to have a “Cadillac” calibration design (that’s the term a NASA engineer, Jim Shiue, used when describing to me the AMSU design, which he was involved in). 2) NOAA-14 MSU requires a… Read more »

Richard C (NZ)
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Richard C (NZ)

‘Comments on New RSS v4 Pause-Busting Global Temperature Dataset’ March 4th, 2016 by Roy W. Spencer, Ph. D. Now that John Christy and I have had a little more time to digest the new paper by Carl Mears and Frank Wentz (“Sensitivity of satellite derived tropospheric temperature trends to the diurnal cycle adjustment”, paywalled here), our conclusion has remained mostly the same as originally stated in Anthony Watts’ post. While the title of their article implies that their new diurnal drift adjustment to the satellite data has caused the large increase in the global warming trend, it is actually their inclusion of what the evidence will suggest is a spurious warming (calibration drift) in the NOAA-14 MSU instrument that leads to most (maybe 2/3) of the change. I will provide more details of why we believe that satellite is to blame, below. Also, we provide new radiosonde validation results, supporting the UAH v6 data over the new RSS v4 data. […] Conclusion The evidence suggests that the new RSS v4 MT dataset has spurious warming due to a lack of correction for calibration drift in the NOAA-14 MSU instrument. Somewhat smaller increases in… Read more »

Richard C (NZ)
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Richard C (NZ)

Annual Mean of the air temperature at Nuuk in West Greenland

comment image

From

The regime shift of the 1920s and 1930s in the North Atlantic – Drinkwater (2006)

https://notalotofpeopleknowthat.wordpress.com/2016/04/20/the-regime-shift-of-the-1920s-and-1930s-in-the-north-atlantic/

# # #

No resemblance to CO2 rise (or GISTEMP) whatsoever.

Richard C (NZ)
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Richard C (NZ)

‘Steaming hot world sets temperature records’

Peter Hannam – SMH

http://www.smh.com.au/environment/climate-change/worse-things-in-store-steaming-hot-world-sets-more-temperature-records-20160419-goaf58.html

# # #

“Steaming hot” now.

Water turns into steam at 100 °C.

Richard C (NZ)
Guest
Richard C (NZ)

‘Mind Blowing Temperature Fraud In Boulder’

Posted on May 11, 2016 by tonyheller

Measured minimum temperatures in Boulder, CO show a strong cooling trend over the last 60 years, but NOAA massively tampers with the data to turn it into a warming trend.

http://realclimatescience.com/wp-content/uploads/2016/05/2016-05-11165016-1.gif

The adjustments are as much as 7.8 degrees F. [4.33 C]

http://realclimatescience.com/wp-content/uploads/2016/05/2016-05-11171342.png

If we look at daily temperatures for December, 1957 it becomes clear how wildly fraudulent NOAA adjustments are………

Continues>>>>>>

http://realclimatescience.com/2016/05/mind-blowing-temperature-fraud-in-boulder/

# # #

Ya gotta see this. In comments ColA says:

“That means that when I was born in 1956 my body temperature was 91F not 98F?”

Richard C (NZ)
Guest
Richard C (NZ)

‘Can Both GISS and HadCRUT4 be Correct? (Now Includes April and May Data)’ justthefactswuwt / June 16, 2016 Guest Post by Werner Brozek, Excerpted from Professor Robert Brown from Duke University, Conclusion by Walter Dnes and Edited by Just The Facts: [see graph: HadCRUT4 vs GISTEMP 1960 – 1979] […] The two anomalies match up almost perfectly from the right hand edge to the present. They do not match up well from 1920 to 1960, except for a brief stretch of four years or so in early World War II, but for most of this interval they maintain a fairly constant, and identical, slope to their (offset) linear trend! They match up better (too well!) — with again a very similar linear trend but yet another offset across the range from 1880 to 1920. But across the range from 1960 to 1979, Ouch! That’s gotta hurt. Across 20 years, HadCRUT4 cools Earth by around 0.08 C, while GISS warms it by around around 0.07C. […] Finally, there is the ongoing problem with using anomalies in the first place rather than computing global average temperatures. Somewhere in there, one has to perform a subtraction.… Read more »

Richard C (NZ)
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Richard C (NZ)

For the record, Gavin Schmidt’s prediction of a temperature record:

Gavin Schmidt ‏@ClimateOfGavin

“With Apr update, 2016 still > 99% likely to be a new record (assuming historical ytd/ann patterns valid).”

Graph: Predicting the 2016 GISTEMP LOTI mean anomaly
comment image

https://twitter.com/ClimateOfGavin/status/731599988141248512

# # #

About 1.3 C (1.15 – 1.45).

Richard C (NZ)
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Richard C (NZ)

Schmidt’s “> 99% likely” 1.3 C is already dodgy. Even the 1.15 lower limit looks iffy.

LOTI Mean to end of June was 1.095 C

http://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.txt

Richard C (NZ)
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Richard C (NZ)

Schmidt predicts a 1.3 C anomaly for 2016 (plus or minus) but his graph uses a “Pre-industrial baseline (1880-1889)”. This is NOT the GISTEMP LOTI baseline.

Schmidt’s graph has 2015 at 1.1 C. GISS LOTI data sheet has 0.87 C for 2015. Schmidt’s 2016 prediction is 0.2 C higher than 2015. So from the LOTI data sheets 0.87 + 0.2 = 1.07 C for 2016. This is only a fraction below the YTD mean (1.095) with 6 months of data still to come in and La Nina cooling.

LOTI Annual
2013 0.65 ENSO-neutral
2014 0.74
2015 0.87
2016 1.07 Schmidt prediction in LOTI terms
http://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.txt

LOTI Monthly
http://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.txt

Year Jan Feb Mar Apr May Jun
2016 114 133 129 109 93 79

0.54 C drop in 4 months Feb to Jun. Only another 0.23 C drop in 6 months and the 2016 mean would equal the 2015 mean (0.87). ENSO-neutral is about 0.65 and conditions will cross ENSO positive to negative this year i.e. neutral at some point before the end of the year.

Richard C (NZ)
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Richard C (NZ)

Schmidt\s playing with different anomaly baselines and baseline data has reached absurdity in this Wash Post article:

‘July was ‘absolutely’ Earth’s hottest month ever recorded’
By Jason Samenow, August 16
https://www.washingtonpost.com/news/capital-weather-gang/wp/2016/08/16/july-was-absolutely-earths-hottest-month-ever-recorded/?tid=sm_tw#comments

In the top graph (scary) he uses a 1980-2015 baseline which I assume (doesn’t say) is in respect to each specific month rather than all months (i.e. different baseline for each month – I think). July anomaly is over 2 C (scary).

But in the next LOTI map the anomaly, from normal 1951-1980 all months mean baseline, is only 0.83 C (yawn).

July isn’t even the hottest LOTI month in 2016, February was.

Richard C (NZ)
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Richard C (NZ)

With LOTI July now in at 0.83 C, the YTD LOTI mean only has to fall another 0.189 C over the next 5 months and Schmidt’s “> 99% chance” of a new record is toast.

But he’ll just point to one of his other graphs (the one that suits is story best like in Wash Post above) with different baseline criteria that provides him with the greatest anomaly departure.

Remains to be seen but enough cooler months will foil that plan too. In terms of LOTI, I think Schmidt must be sweating.

Simon
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Simon

It might be time for you all to shift to Australia and vote One Nation:
https://twitter.com/QandA/status/765155774234439680

Andy
Guest
Andy

Yes I saw that clip and the rather lacklustre performance from Brian Cox. He doesn’t exactly inspire me as a physicist, celebrity or otherwise

Andy
Guest
Andy

Rock star-scientist Brian Cox confused on more than global temperatures
http://www.onlineopinion.com.au/view.asp?article=18459

Richard C (NZ)
Guest
Richard C (NZ)

>”move to Australia …..” [Re Malcolm Roberts, One Nation] No need. Let my fingers do the walking (and talking) at JoNova. Raked over (in detail) there: ‘Malcolm Roberts on Q & A : 1 skeptic against 6 who believe the consensus’ http://joannenova.com.au/2016/08/malcolm-roberts-on-q-a-right-now/ Neither Cox nor Roberts addressed the IPCC’s primary climate change criteria. (I did at #17 – 10 “likes”. 19 ‘”likes” at #12.1.2 re CO2 disconnect). I doubt either of them have even the vaguest idea. But in terms of temperature series, a useful resource to call up in the future. Way down at #30.1.1 I placed a comment re GISS “adjustments” to Gisborne Aero NZ. That comment, and others nearby, cross links to Judith Curry’s Climate Etc, Paul Homewood’s notalotofpeopleknowthat, Euan Mearns’ Energy Matters, Climate$you, and back to ‘Temperature Records’ here at CCG from Paul Homewood’s post. Further down other GISS and BEST “adjustment” case studies e.g. Puerto Casado. Zeke Hausfather did a runner on that one #30.1.1 http://joannenova.com.au/2016/08/malcolm-roberts-on-q-a-right-now/#comment-1827020 Also: ‘Brian Cox thinks 17,000 employees at NASA always produce perfect graphs. NASA employees disagree. Who to believe?’ http://joannenova.com.au/2016/08/brian-cox-thinks-17000-employees-at-nasa-always-produce-perfect-graphs-nasa-employees-disagree-who-to-believe/ GISTEMP is rubbish and provably so but at least it’s a devil we… Read more »

Richard C (NZ)
Guest
Richard C (NZ)

NASA GISS temperature is topical (Brian Cox v Malcolm Roberts on Q & A). Suggest this Google search:

nasa giss iceland adjustments reykjavik
https://www.google.co.nz/webhp?complete=0&hl=en&gws_rd=cr&ei=2Fe1V9bXBsKx0gTO-Z6ABg#complete=0&hl=en&q=nasa+giss+iceland+adjustments+reykjavik

Start reading.

Gavin Schmidt is ‘flummoxed’ by Roberts apparently:

‘Malcolm Roberts leaves NASA ‘flummoxed’ with Q&A climate claims’
http://www.smh.com.au/environment/climate-change/malcolm-roberts-leaves-nasa-%27flummoxed%27-with-q&a-climate-claims-20160815-gqt9a4.html

Doesn’t appear to realize NASA provides space platforms for temperature monitoring that contradict GISTEMP (Or that NASA is – National Aeronautics and Space Administration).

Richard C (NZ)
Guest
Richard C (NZ)

‘Rock star-scientist Brian Cox confused on more than global temperatures’ By Jennifer Marohasy – posted Thursday, 18 August 2016 […. 3 pages….click “ALL” at bottom……] Cox may not care too much for facts. He is not only a celebrity scientist, but also a rock star. Just the other day I was watching a YouTube video of him playing keyboard as the lead-singer of the band screamed, “We don’t need a reason”. There was once a clear distinction between science – that was about reason and evidence – and art that could venture into the make-believe including through the re-interpretation of facts. This line is increasingly blurred in climate science where data is now routinely remodeled to make it more consistent with global warming theory. For example, I’m currently working on a 61-page expose of the situation at Rutherglen. Since November 1912, air temperatures have been measured at an agricultural research station near Rutherglen in northern Victoria, Australia. The data is of high quality, therefore, there is no scientific reason to apply adjustments in order to calculate temperature trends and extremes. Mean annual temperatures oscillate between 15.8°C and 13.4°C. The hottest years are 1914… Read more »

Richard C (NZ)
Guest
Richard C (NZ)

Cox flashed this GISS graph: Global Mean Estimates based on Land and Ocean Data [Mouse-over for annual anomaly values] http://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.html Apart from the estimate being merely “based on” data (i.e. not actual data), and that the 1998 El Nino relativity has been erased, there is a further eye teaser concerning the LOWESS smoothing (red line) at the end point 2015. In other words, the red line guides the eye but not the brain. 2004 to 2011 is the “hiatus/pause” in the red line. After 2011 the red line hikes up abruptly due to the El Nino spike. 2013 (0.66) was ENSO-neutral, GISS appear to be assuming, given Gavin Schmidt’s 2016 prediction and reasoning (see Tweets), that the red line will continue upwards to a new record high (anomaly 0.87+) as per 1998 in the graph rather than return to neutral (anomaly 0.66 ish) and a continued “hiatus”. I’m guessing, given the monthly data trajectory, that instead of continuing upwards what we will see in a couple of years is just a spike in the red line smoothing, but time will tell. Basically, what I’m getting at is that the LOWESS smoothing (red line)… Read more »

Richard C (NZ)
Guest
Richard C (NZ)

Schmidt’s July update Tweet:

Gavin Schmidt ‏@ClimateOfGavin

“July data are out, and what do you know, still 99% chance of a new annual record in 2016.”

Graph: Predicting the 2016 GISTEMP LOTI mean anomaly
comment image

https://twitter.com/ClimateOfGavin/status/765237770839269378

Richard C (NZ)
Guest
Richard C (NZ)

‘More On The NOAA Africa Fraud’

Posted on September 21, 2016 by tonyheller

As I reported earlier, NOAA shows Angola as their hottest month ever in August. [see chart]

Amazing, since NOAA doesn’t actually have any thermometer readings in Angola – which is almost twice the size of Texas. [see chart]

The RSS TLT August anomaly for central Angola was 0.53, slightly above average and nowhere near a record. There has been almost no trend in Angola temperatures since the start of records in 1978 [see chart]

NOAA and NASA are defrauding the American people and the world with their junk science, which is used as the basis for policy.

http://realclimatescience.com/2016/09/more-on-the-noaa-africa-fraud/

Richard C (NZ)
Guest
Richard C (NZ)

‘NASA Joins In The NOAA African Fraud’

Posted on September 21, 2016 by tonyheller

NOAA claimed yesterday that Angola and Namibia had their hottest month ever last month, even though they don’t have any thermometers there.

Continues at length >>>>>>
http://realclimatescience.com/2016/09/nasa-joins-in-the-noaa-african-fraud/

Analysis: NASA’s ‘record heat’ in SW Africa is based on one tampered station, located next to asphalt in middle of rapidly growing city’
http://www.climatedepot.com/2016/09/21/analysis-nasas-record-heat-in-sw-africa-is-based-on-one-tampered-station-located-next-to-asphalt-in-middle-of-rapidly-growing-city/

Tim
Guest
Tim

Hello all

I am looking for an old televised climate change debate, but I cannot find it. I thought it was about 10 years old and that John Campbell was the moderator…….but nothing is popping up in Google so I must have this wrong.

From memory it was a debate between two experts/scientists. An early exchange was an expert showed a graph of rising temperatures. The opposing expert then explained that recent data was purposely excluded because it did not follow the trend.

Is there any chance someone knows the debate I’m thinking of, or who was in it?

Tim
Guest
Tim

I’ve been advised that the climate change debate I’m looking for happened more like 20 years ago, and was between David Wratt and Chris de Freitas on TV1. If someone knows what show that was on, or has a copy of the debate, that would be great. Cheers.