| https://ads.nipr.ac.jp/vishop/#/extent |
The data now includes all years available from JAXA (1979 to present)
2018/12/21
Arctic Sea ice - December
A December update on Arctic Sea Ice as reported by JAXA.
Some wild swings especially in last few days (problem with measurement??)
The data now includes all years available from JAXA (1979 to present)
The data now includes all years available from JAXA (1979 to present)
2018/12/18
2018/12/07
Latest Consumer prices index: fuel components, monthly figures
Latest figures from UK gov. Show consumer prices index fuel
components up to October 2018
There is a 20% price hike in 2016/17 - is this due to green taxes or profiteering?
There is a 20% price hike in 2016/17 - is this due to green taxes or profiteering?
2018/07/02
2018/05/02
Nenana Ice Classic over for 2018
The clock on the watchtower was stopped at 13:18 on 1st May 2018 by the river ice moving.
the following plots show 3 versions of the same data. The Time from vernal equinox is probably most significant as this relates to solar position and not artificial human time.
Information here .
Going
the following plots show 3 versions of the same data. The Time from vernal equinox is probably most significant as this relates to solar position and not artificial human time.
Information here .
Going
2017/12/09
Asimov - Environmental and Climate Change
Thoughts from January 1989
Part of full lecture (see below) dealing with Global Warming
Part of full lecture (see below) dealing with Global Warming
2017/10/07
2017/09/27
I See No Ships (hurricanes)
Why is everyone trying to minimise the suffering of many thousands of people by claiming there has been a long period of no hurricanes in the Atlantic (adding to hit mainland US). There has been no real lull in the number of hurricanes:
e.g from Roy Spencer:
---------------------------------------
The 11-Year Major Hurricane Drought: Much More Unusual than Two Cat 4 Strikes
September 21st, 2017 by Roy W. Spencer, Ph. D.
e.g from Roy Spencer:
---------------------------------------
The 11-Year Major Hurricane Drought: Much More Unusual than Two Cat 4 Strikes
September 21st, 2017 by Roy W. Spencer, Ph. D.
Weather.com published an article noting that the two Cat 4 hurricane strikes this year (Harvey and Irma) is a new record. Here’s a nice graphic they used showing both storms at landfall...
------------------------------------
Yet from Wiki there are these recorded cat 4 and 5 Atlantic hurricanes:
You have to be blind in more than one eye to miss these
|
2001
|
Iris
|
October 89
|
145 mph (230 km/h)
|
948 hPa
|
|
2001
|
Michelle
|
November 34
|
140 mph (220 km/h)
|
933 hPa
|
|
2002
|
Lili
|
October 23
|
145 mph (230 km/h)
|
938 hPa
|
|
2003
|
Fabian
|
August 31-September 5
|
145 mph (230 km/h)
|
939 hPa
|
|
2003
|
Isabel
|
September 11-14,
|
165 mph (270 km/h)
|
915 hPa
|
|
2004
|
Charley
|
August 13
|
150 mph (240 km/h)
|
941 hPa
|
|
2004
|
Frances
|
August 28-September 2
|
145 mph (230 km/h)
|
935 hPa
|
|
2004
|
Karl
|
September 20-21
|
145 mph (230 km/h)
|
938 hPa
|
|
2004
|
Ivan
|
September 9-14
|
165 mph (270 km/h)
|
910 hPa
|
|
2005
|
Dennis
|
July 810
|
150 mph (240 km/h)
|
930 hPa
|
|
2005
|
Emily
|
July 16,
|
160 mph (260 km/h)
|
929 hPa
|
|
2005
|
Katrina
|
August 2829
|
175 mph (280 km/h)
|
902 hPa
|
|
2005
|
Rita
|
September 21-22,
|
180 mph (285 km/h)
|
895 hPa
|
|
2005
|
Wilma
|
October 19,
|
185 mph (295 km/h)
|
882 hPa
|
|
2007
|
Dean
|
August 18-21,
|
175 mph (280 km/h)
|
905 hPa
|
|
2007
|
Felix
|
September 34,
|
175 mph (280 km/h)
|
929 hPa
|
|
2008
|
Gustav
|
August 30-31
|
155 mph (250 km/h)
|
941 hPa
|
|
2008
|
Ike
|
September 48
|
145 mph (230 km/h)
|
935 hPa
|
|
2008
|
Omar
|
October 16
|
130 mph (215 km/h)
|
958 hPa
|
|
2008
|
Paloma
|
November 8
|
145 mph (230 km/h)
|
944 hPa
|
|
2009
|
Bill
|
August 19-20
|
130 mph (215 km/h)
|
943 hPa
|
|
2010
|
Danielle
|
August 27
|
130 mph (215 km/h)
|
942 hPa
|
|
2010
|
Earl
|
August 30-September 2
|
145 mph (230 km/h)
|
927 hPa
|
|
2010
|
Igor
|
September 12-17
|
155 mph (250 km/h)
|
924 hPa
|
|
2010
|
Julia
|
September 15
|
140 mph (220 km/h)
|
948 hPa
|
|
2011
|
Katia
|
September 6
|
140 mph (220 km/h)
|
942 hPa)
|
|
2011
|
Ophelia
|
October 2
|
140 mph (220 km/h)
|
940 hPa
|
|
2014
|
Gonzalo
|
October 15-17
|
145 mph (230 km/h)
|
940 hPa
|
|
2015
|
Joaquin
|
October 13
|
155 mph (250 km/h)
|
931 hPa
|
|
2016
|
Nicole
|
October 12-13
|
140 mph (220 km/h)
|
950 hPa)
|
|
2016
|
Matthew
|
October 1,
|
165 mph (270 km/h)
|
934 hPa
|
|
2017
|
Harvey
|
August 25-26
|
130 mph (215 km/h)
|
938 hPa
|
|
2017
|
Jose
|
September 8-10
|
155 mph (250 km/h)
|
938 hPa
|
|
2017
|
Irma
|
September 59,
|
185 mph (295 km/h)
|
914 hPa
|
|
2017
|
Maria
|
September 18-20,
|
175 mph (280 km/h)
|
908 hPa
|
2017/06/02
What Roy Spencer Thinks of Europe
Just seen an exchange of posts on Spencer's Blog
stavro mueller says:
Salvatore Del Prete says: June 2, 2017 at 5:50 AM
Trump you did the right thing ! Excellent president the best we have ever had.
————
Really?
few other leaders have been made the ultimate laughing stock of the rest of the world.
Even Bush and Regan were more respected
stavro mueller says:
Salvatore Del Prete says: June 2, 2017 at 5:50 AM
Trump you did the right thing ! Excellent president the best we have ever had.
————
Really?
few other leaders have been made the ultimate laughing stock of the rest of the world.
Even Bush and Regan were more respected
phew!
2017/05/05
Nenana Ice Classic is over for 2017
The Nenana Ice classic is a non-profit corporation formed
by the residents of Nenana, Alaska, for the purpose of
conducting an annual ice pool contest under special
statutory authority enacted the first state legislature in 1960.
The Association was incorporated by the State of Alaska in
December 1972. Previously it had operated as an
unincorporated association.
The idea is to guess the exact time of the ice break-up on the nenana river
This contest has been running since 1917 and consequently gives an idea of thermal conditions on the river over time. Unless dynamite is used(!) the time of breakup is difficult to contest and calling "Fraud" even more contentious.
Three plots are given 2 timed from the start of the year and one from the vernal equinox (the latter uses a fixed point in solar time).
Looks like the break up occurred at a time predicted by the slope of the average
The idea is to guess the exact time of the ice break-up on the nenana river
This contest has been running since 1917 and consequently gives an idea of thermal conditions on the river over time. Unless dynamite is used(!) the time of breakup is difficult to contest and calling "Fraud" even more contentious.
Three plots are given 2 timed from the start of the year and one from the vernal equinox (the latter uses a fixed point in solar time).
Looks like the break up occurred at a time predicted by the slope of the average
2017/01/23
Arctic Sea Ice to December 2016
First plot shows rate of change per day - Note wild fluctuations from October
Second plot show Extent on day of year - A few have line fits which show that the extent reduction is a reasonable fit to a straight lineThe final plot shows the usual plus a rate of change per year.
2016/05/14
Yet more Hyped up FOI'd Emails - George Mason University
Such invalid posts on blogs and the CEI site:
What is it all about?
CEI
National Campaign led by AG’s to Use RICO Against ‘Climate Skeptics’ will be Revealed in Released E-mails
GWPF
RICO-20 Campaign Against Sceptical Climate Scientists Revealed In Emails
WUWT
BREAKING: CEI Defeats RICO-20 Ringleader Shukla In FOIA Lawsuit – Emails to be are made public
First a look at wuwt:
Watts comment in the editorial (in red)
And from one of his minions (not towing the line)
So what is the correct thing to do go private and "circumvent" foi???
What's it all about.
Well it seems to be about supporting a RICO case against corporations (in a similar attack made on tobacco firms who initially denied that nicotine was addictive and claimed tobacco smoking was not harmful)
So where does an attack on climate change dissenters come into this? Its certainly not obvious to me! What it looks like is a way to get corporations to come clean about what they know about climate change and fossil fuels, and to do it under oath facing a judge.
What do those people supporting the RICO case say - which dissenting climate scientists are they trying to muzzle. Let's see an email:
How have some of these dissenters who have NOT been attacked respond:
Strange that it is more like the dissenters are trying to muzzle the RICO 20 right to free speech!
So how is this being taken by the public:
And the hate gets so bad that Prof Jagadish Shukla begins to think he should retract the letter but is convinced he should let it roll:
What is it all about?
The letter in question does not suggest criminalising climate change dissenters.
RICO is a fact finding rather than criminal investigation.
Still if you shout falsehoods loudly enough on the web your words will be heard by millions and repeated as true facts -
RULE BY THE SIZE OF YOUR WEB BLOG READERSHIP not by Democracy.
RULE BY THE SIZE OF YOUR WEB BLOG READERSHIP not by Democracy.
2016/04/25
Nenana Ice Break Up Occurred 2016-04-24 15:39:00
The Annual Nenana Ice Classic is Over for Another Year
this one timed from vernal equinox
Still declining!
The Tanana River officially broke up on 2016-04-24 at 15:39:00
http://www.nenanaakiceclassic.com/
2 plots as usual
one timed from start of year
2 plots as usual
one timed from start of year
this one timed from vernal equinox
Still declining!
2015/08/14
What I cannot understand about Professor Robert Brown of Duke University.
A post at wuwt data fudging / incompetence:
Problematic Adjustments And Divergences (Now Includes June Data)
Rgbatduke June 10, 2015 at 5:52 am [the full entry]
The two data sets should not be diverging, period, unless everything we understand about atmospheric thermal dynamics is wrong. That is, I will add my “opinion” to Werner’s and point out that it is based on simple atmospheric physics taught in any relevant textbook.
This does not mean that they cannot and are not systematically differing; it just means that the growing difference is strong evidence of bias in the computation of the surface record. This bias is not really surprising, given that every new version of HadCRUT and GISS has had the overall effect of cooling the past and/or warming the present! This is as unlikely as flipping a coin (at this point) ten or twelve times each, and having it come up heads every time for both products. In fact, if one formulates the null hypothesis “the global surface temperature anomaly corrections are unbiased”, the p-value of this hypothesis is less than 0.01, let alone 0.05. If one considers both of the major products collectively, it is less than 0.001. IMO, there is absolutely no question that GISS and HadCRUT, at least, are at this point hopelessly corrupted.
One way in which they are corrupted with the well-known Urban Heat Island effect, wherein urban data or data from poorly sited weather stations shows local warming that does not accurately reflect the spatial average surface temperature in the surrounding countryside. This effect is substantial, and clearly visible if you visit e.g. Weather Underground and look at the temperature distributions from personal weather stations in an area that includes both in-town and rural PWSs. The city temperatures (and sometimes a few isolated PWSs) show a consistent temperature 1 to 2 C higher than the surrounding country temperatures. Airport temperatures often have this problem as well, as the temperatures they report come from stations that are deliberately sited right next to large asphalt runways, as they are primarily used by pilots and air traffic controllers to help planes land safely, and only secondarily are the temperatures they report almost invariably used as “the official temperature” of their location. Anthony has done a fair bit of systematic work on this, and it is a serious problem corrupting all of the major ground surface temperature anomalies.
The problem with the UHI is that it continues to systematically increase independent of what the climate is doing. Urban centers continue to grow, more shopping centers continue to be built, more roadway is laid down, more vehicle exhaust and household furnace exhaust and water vapor from watering lawns bumps greenhouse gases in a poorly-mixed blanket over the city and suburbs proper, and their perimeter extends, increasing the distance between the poorly sited official weather stations and the nearest actual unbiased countryside.
HadCRUT does not correct in any way for UHI. If it did, the correction would be the more or less uniform subtraction of a trend proportional to global population across the entire data set. This correction, of course, would be a cooling correction, not a warming correction, and while it is impossible to tell how large it is without working through the unknown details of how HadCRUT is computed and from what data (and without using e.g. the PWS field to build a topological correction field, as UHI corrupts even well-sited official stations compared to the lower troposphere temperatures that are a much better estimator of the true areal average) IMO it would knock at least 0.3 C off of 2015 relative to 1850, and would knock off around 0.1 C off of 2015 relative to 1980 (as the number of corrupted stations and the magnitude of the error is not linear — it is heavily loaded in the recent past as population increases exponentially and global wealth reflected in “urbanization” has outpaced the population).
GISS is even worse. They do correct for UHI, but somehow, after they got through with UHI the correction ended up being neutral to negative. That’s right, UHI, which is the urban heat island effect, something that has to strictly cool present temperatures relative to past ones in unbiased estimation of global temperatures ended up warming them instead. Learning that left me speechless, and in awe of the team that did it. I want them to do my taxes for me. I’ll end up with the government owing me money.
However, in science, this leaves both GISS and HadCRUT (and any of the other temperature estimates that play similar games) with a serious, serious problem. Sure, they can get headlines out of rewriting the present and erasing the hiatus/pause. They might please their political masters and allow them to convince a skeptical (and sensible!) public that we need to spend hundreds of billions of dollars a year to unilaterally eliminate the emission of carbon dioxide, escalating to a trillion a year, sustained, if we decide that we have to “help” the rest of the world do the same. They might get the warm fuzzies themselves from the belief that their scientific mendacity serves the higher purpose of “saving the planet”. But science itself is indifferent to their human wishes or needs! A continuing divergence between any major temperature index and RSS/UAH is inconceivable and simple proof that the major temperature indices are corrupt.
Right now, to be frank, the divergence is already large enough to be raising eyebrows, and is concealed only by the fact that RSS/UAH only have a 35+ year base. If the owners of HadCRUT and GISSTEMP had the sense god gave a goose, they’d be working feverishly to cool the present to better match the satellites, not warm it and increase the already growing divergence because no atmospheric physicist is going to buy a systematic divergence between the two, as Werner has pointed out, given that both are necessarily linked by the Adiabatic Lapse Rate which is both well understood and directly measurable and measured (via e.g. weather balloon soundings) more than often enough to validate that it accurately links surface temperatures and lower troposphere temperatures in a predictable way. The lapse rate is (on average) 6.5 C/km. Lower Troposphere temperatures from e.g. RSS sample predominantly the layer of atmosphere centered roughly 1.5 km above the ground, and by their nature smooth over both height and surrounding area (that is, they don’t measure temperatures at points, they directly measure a volume averaged temperature above an area on the surface. They by their nature give the correct weight to the local warming above urban areas in the actual global anomaly, and really should also be corrected to estimate the CO_2 linked warming, or rather the latter should be estimated only from unbiased rural areas or better yet, completely unpopulated areas like the Sahara desert (where it isn’t likely to be mixed with much confounding water vapor feedback).
RSS and UAH are directly and regularly confirmed by balloon soundings and, over time, each other. They are not unconstrained or unchecked. They are generally accepted as accurate representations of LTT’s (and the atmospheric temperature profile in general).
The question remains as to how accurate/precise they are. RSS uses a sophisticated Monte Carlo process to assess error bounds, and eyeballing it suggests that it is likely to be accurate to 0.1-0.2 C month to month (similar to error claims for HadCRUT4) but much more accurate than this when smoothed over months or years to estimate a trend as the error is generally expected to be unbiased. Again this ought to be true for HadCRUT4, but all this ends up meaning is that a trend difference is a serious problem in the consistency of the two estimators given that they must be linked by the ALR and the precision is adequate even month by month to make it well over 95% certain that they are not, not monthly and not on average.
If they grow any more, I would predict that the current mutter about the anomaly between the anomalies will grow to an absolute roar, and will not go away until the anomaly anomaly is resolved. The resolution process — if the gods are good to us — will involve a serious appraisal of the actual series of “corrections” to HadCRUT and GISSTEMP, reveal to the public eye that they have somehow always been warming ones, reveal the fact that UHI is ignored or computed to be negative, and with any luck find definitive evidence of specific thumbs placed on these important scales. HadCRUT5 might — just might — end up being corrected down by the ~0.3 C that has probably been added to it or erroneously computed in it over time.
rgb
==========================================
What I would like RGB to answer is:
He is basically stating that all major providers of temperature series of either
1 being incompetent
2 purposefully changing the data to match their belief.
IF 1. How can so many intelligent educated people be so incompetent. This seems very unlikely. Have he approached the scientists concerned and shown them where they are in error. If not, Why not?
IF 2. This is a serious accusation of scientific fraud. As such have he approached any of the scientists involved and asked for an explanation? If not, why not? he is part of the same scientific community.
Can he give reasons why he thinks scientists over the whole globe would all be party to the same fraud. Do climate scientists live in luxury mansions taking expensive family holidays - perhaps he could provide proof?. What manages to keep so many scientists in line - are there families/careers/lives threated to maintain the silence. why is there no Julian Assange or Edward Snowden, willing to expose them?
Problematic Adjustments And Divergences (Now Includes June Data)
Rgbatduke June 10, 2015 at 5:52 am [the full entry]
The two data sets should not be diverging, period, unless everything we understand about atmospheric thermal dynamics is wrong. That is, I will add my “opinion” to Werner’s and point out that it is based on simple atmospheric physics taught in any relevant textbook.
This does not mean that they cannot and are not systematically differing; it just means that the growing difference is strong evidence of bias in the computation of the surface record. This bias is not really surprising, given that every new version of HadCRUT and GISS has had the overall effect of cooling the past and/or warming the present! This is as unlikely as flipping a coin (at this point) ten or twelve times each, and having it come up heads every time for both products. In fact, if one formulates the null hypothesis “the global surface temperature anomaly corrections are unbiased”, the p-value of this hypothesis is less than 0.01, let alone 0.05. If one considers both of the major products collectively, it is less than 0.001. IMO, there is absolutely no question that GISS and HadCRUT, at least, are at this point hopelessly corrupted.
One way in which they are corrupted with the well-known Urban Heat Island effect, wherein urban data or data from poorly sited weather stations shows local warming that does not accurately reflect the spatial average surface temperature in the surrounding countryside. This effect is substantial, and clearly visible if you visit e.g. Weather Underground and look at the temperature distributions from personal weather stations in an area that includes both in-town and rural PWSs. The city temperatures (and sometimes a few isolated PWSs) show a consistent temperature 1 to 2 C higher than the surrounding country temperatures. Airport temperatures often have this problem as well, as the temperatures they report come from stations that are deliberately sited right next to large asphalt runways, as they are primarily used by pilots and air traffic controllers to help planes land safely, and only secondarily are the temperatures they report almost invariably used as “the official temperature” of their location. Anthony has done a fair bit of systematic work on this, and it is a serious problem corrupting all of the major ground surface temperature anomalies.
The problem with the UHI is that it continues to systematically increase independent of what the climate is doing. Urban centers continue to grow, more shopping centers continue to be built, more roadway is laid down, more vehicle exhaust and household furnace exhaust and water vapor from watering lawns bumps greenhouse gases in a poorly-mixed blanket over the city and suburbs proper, and their perimeter extends, increasing the distance between the poorly sited official weather stations and the nearest actual unbiased countryside.
HadCRUT does not correct in any way for UHI. If it did, the correction would be the more or less uniform subtraction of a trend proportional to global population across the entire data set. This correction, of course, would be a cooling correction, not a warming correction, and while it is impossible to tell how large it is without working through the unknown details of how HadCRUT is computed and from what data (and without using e.g. the PWS field to build a topological correction field, as UHI corrupts even well-sited official stations compared to the lower troposphere temperatures that are a much better estimator of the true areal average) IMO it would knock at least 0.3 C off of 2015 relative to 1850, and would knock off around 0.1 C off of 2015 relative to 1980 (as the number of corrupted stations and the magnitude of the error is not linear — it is heavily loaded in the recent past as population increases exponentially and global wealth reflected in “urbanization” has outpaced the population).
GISS is even worse. They do correct for UHI, but somehow, after they got through with UHI the correction ended up being neutral to negative. That’s right, UHI, which is the urban heat island effect, something that has to strictly cool present temperatures relative to past ones in unbiased estimation of global temperatures ended up warming them instead. Learning that left me speechless, and in awe of the team that did it. I want them to do my taxes for me. I’ll end up with the government owing me money.
However, in science, this leaves both GISS and HadCRUT (and any of the other temperature estimates that play similar games) with a serious, serious problem. Sure, they can get headlines out of rewriting the present and erasing the hiatus/pause. They might please their political masters and allow them to convince a skeptical (and sensible!) public that we need to spend hundreds of billions of dollars a year to unilaterally eliminate the emission of carbon dioxide, escalating to a trillion a year, sustained, if we decide that we have to “help” the rest of the world do the same. They might get the warm fuzzies themselves from the belief that their scientific mendacity serves the higher purpose of “saving the planet”. But science itself is indifferent to their human wishes or needs! A continuing divergence between any major temperature index and RSS/UAH is inconceivable and simple proof that the major temperature indices are corrupt.
Right now, to be frank, the divergence is already large enough to be raising eyebrows, and is concealed only by the fact that RSS/UAH only have a 35+ year base. If the owners of HadCRUT and GISSTEMP had the sense god gave a goose, they’d be working feverishly to cool the present to better match the satellites, not warm it and increase the already growing divergence because no atmospheric physicist is going to buy a systematic divergence between the two, as Werner has pointed out, given that both are necessarily linked by the Adiabatic Lapse Rate which is both well understood and directly measurable and measured (via e.g. weather balloon soundings) more than often enough to validate that it accurately links surface temperatures and lower troposphere temperatures in a predictable way. The lapse rate is (on average) 6.5 C/km. Lower Troposphere temperatures from e.g. RSS sample predominantly the layer of atmosphere centered roughly 1.5 km above the ground, and by their nature smooth over both height and surrounding area (that is, they don’t measure temperatures at points, they directly measure a volume averaged temperature above an area on the surface. They by their nature give the correct weight to the local warming above urban areas in the actual global anomaly, and really should also be corrected to estimate the CO_2 linked warming, or rather the latter should be estimated only from unbiased rural areas or better yet, completely unpopulated areas like the Sahara desert (where it isn’t likely to be mixed with much confounding water vapor feedback).
RSS and UAH are directly and regularly confirmed by balloon soundings and, over time, each other. They are not unconstrained or unchecked. They are generally accepted as accurate representations of LTT’s (and the atmospheric temperature profile in general).
The question remains as to how accurate/precise they are. RSS uses a sophisticated Monte Carlo process to assess error bounds, and eyeballing it suggests that it is likely to be accurate to 0.1-0.2 C month to month (similar to error claims for HadCRUT4) but much more accurate than this when smoothed over months or years to estimate a trend as the error is generally expected to be unbiased. Again this ought to be true for HadCRUT4, but all this ends up meaning is that a trend difference is a serious problem in the consistency of the two estimators given that they must be linked by the ALR and the precision is adequate even month by month to make it well over 95% certain that they are not, not monthly and not on average.
If they grow any more, I would predict that the current mutter about the anomaly between the anomalies will grow to an absolute roar, and will not go away until the anomaly anomaly is resolved. The resolution process — if the gods are good to us — will involve a serious appraisal of the actual series of “corrections” to HadCRUT and GISSTEMP, reveal to the public eye that they have somehow always been warming ones, reveal the fact that UHI is ignored or computed to be negative, and with any luck find definitive evidence of specific thumbs placed on these important scales. HadCRUT5 might — just might — end up being corrected down by the ~0.3 C that has probably been added to it or erroneously computed in it over time.
rgb
==========================================
What I would like RGB to answer is:
He is basically stating that all major providers of temperature series of either
1 being incompetent
2 purposefully changing the data to match their belief.
IF 1. How can so many intelligent educated people be so incompetent. This seems very unlikely. Have he approached the scientists concerned and shown them where they are in error. If not, Why not?
IF 2. This is a serious accusation of scientific fraud. As such have he approached any of the scientists involved and asked for an explanation? If not, why not? he is part of the same scientific community.
Can he give reasons why he thinks scientists over the whole globe would all be party to the same fraud. Do climate scientists live in luxury mansions taking expensive family holidays - perhaps he could provide proof?. What manages to keep so many scientists in line - are there families/careers/lives threated to maintain the silence. why is there no Julian Assange or Edward Snowden, willing to expose them?
2015/07/26
Lightning Photos
Best storm for decades (that I have seen) - about 4 hours of rapid strikes from midnight on 3rd July 2015 near Great Yarmouth
| 1st strike after forks |
1st strike after forks coloured green
All pictures taken using same zoom from a video
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