Global Cooling is Killing Penguins – Not Global Warming


Contrary to Global Warming, the reality of what is going on is serious and these fakes scientists have distorted the cyclical nature of our world for personal gain that they are leading us down a path of serious destruction. The ice has expanded so much that there is a major catastrophe in the penguin community. All but two Adelie penguin chicks have starved to death in their east Antarctic colony. Nature scientists are calling this breeding season as “catastrophic” because the unusually high amounts of ice late in the season, has made adults penguins travel further for food.

It is the second bad season in five years after no chicks survived in 2015 also because of the expansion in ice. We are headed into a serious decline in temperature and that is when civilization declines significantly. The worst appears to be hitting after 2032. This is really no joke.

Analysis of Global Temperature Trends, September, 2017, what’s really going on with the Climate?


The analysis and plots shown here are based on the following two data series. First NASA-GISS estimates of a global temperature shown as an anomaly (converted to degrees Celsius) as shown in their table Land Ocean Temperature Index (LOTI) and shown in Chart 1 as the red plot labeled NASA the scale for the temperatures is on the left. The NASA LOTI temperatures are shown as a 12 month moving average because of the large monthly variation. Second NOAA-ESRL Carbon Dioxide (CO2) values in Parts Per Million (PPM) which are shown in Chart 1 as a black plot labeled NOAA the scale for CO2 is shown on the right.

NASA published data as stated in the first paragraph is shown as an anomaly, but what is a temperature anomaly?  An anomaly is a deviation from some base value normally an average that is fixed. There were two problems with the system that NASA picked which were number one there is no “actual” global temperature and two since climate is a variable there cannot be a real base to measure from. NASA known for its science and engineering expertise back in the day thought it could get around these issues and created a system to do so. First they developed a computer model which took readings from all over the planet and made required adjustments to them which they called homogenization and came up with the estimated global temperature. Second they picked the period 1950 to 1980 (30 years) and averaged the values found in that period and came up with 14.00 degrees Celsius and make that their base.  Then they took the calculated monthly temperature and subtracted the base from it which gave them the anomaly. The problem is that both are arbitrary.

Now that we have a base to work with we are going to add to Chart 1 three things. The first is a trend line of the growth in CO2 since that is according to the government through NASA and NOAA the entire basis for climate change. That plot is superimposed over the black plot of the actual NOAA CO2 values as the cyan line labeled as the CO2 Model and one can see there is a very good fit to the actual NOAA values so there should be no dispute about its validity.  This plot allows us to make projections to future global temperatures according to the projected level of CO2 .  The second added item is James E. Hansen’s Scenario B data, which is the very core of the IPCC Global Climate models (GCM’s) and which was based on a CO2 sensitivity value of 3.0O Celsius per doubling of CO2. This plot is shown here in lavender and is part of a presentation that Hansen showed to congress in 1988 when the UN was about to set up the International Panel on Climate Change (IPCC) and this plot is labeled as Hansen Scenario B which Hansen stated was the most likely to happen based on his 1979 climate theories’.  The third item is the current plot of the most likely temperature of the planet based on the growth of CO2 published by the IPCC. This plot is shown in Red and is labeled as IPCC AR5 A2 as that is the table where the data was found. This plot is a GCM computer projection of the planets temperature based on the complex relationships developed on the levels of CO2 by the IPCC primarily though NASS and NOAA.

It can be seen in Chart 2 that the lavender plot and the Hansen plot are very close from 1965 to around 2000 after that, from 2000 to 2014, there is a very large and deviation reaching close to .5 degrees Celsius in 2015, which is not an insubstantial number.  Also of note is that there doesn’t seem to be a good correlation between the growth in CO2 and the increase in the planets temperature. The CO2 is going up in a log function and the Temperature was going down until 2015 and then there was a mysterious spike up. That unexplained change in temperature direction appeared to have occurred between 2013 and 2014 and is the subject of this monthly paper.

Next we have Chart 3 which is developed from the raw data from NASS and NOAA as shown in Chart 1.  This plot was made first by adding ten years blocks of temperature and CO2 as indicated in the Chart 1 and diving by 120 to give an average for each.  Then the average Temperature was divided by the average CO2 to give degrees of temperature increase per PPM of CO2. After that was plotted it appeared that there were two different curves. The first was from block 1965-1974 through block 2004-2014 shown as Black Dots and the second was from block 1995-2004 through block 2005-2017 shown as Black Dashes. When trend lines were added they were both almost perfect fits to the raw data and so you cannot see the data points very well on Chart 2.  These blocks were picked to represent the entire period of time where we had both NASA temperature data and NOAA CO2 levels.

On Chart 3 there are two sets of color coded information. The first is Cyan plot and the Cyan box with the equation in it along with the R2 value of 1.0 are for the first series from block 1965-1974 through block 2004-2014. The other is the Red plot and the Red box with the equation in it along with the R2 value of 1.0 which are for the first series from block 1965-1974 through block 2004-2017. We can speculate on how this change happened but it can’t be said that the plot change is not real; however additional data will be required to actually prove that something has changed.

In summary the Cyan data set indicates a diminishing effect of CO2 on global temperature for about 54 years and the Red data set represents an increasing effect of CO2 on global temperature for the past 3 years. Since both data sets have an R2 value of 1.00 the trend lines cannot be in question.

Continuing the analysis of what happened to the NASA data in table LOTI from Chart 3, the following Chart 4 was constructed from the same NASA data. It’s very sad to say but it seems to prove without much doubt that the global temperatures have been manipulated by NASA probably at the request of the federal government such that a case could be made for supporting the COP21 Paris climate conference in December 2015 by showing that the earth was much hotter than it actually was. The dates on the x axis are the date of the NASA LOTI download file. The plots for specific date groupings are set such that one can see what that date range did in each separate NASA download. The proof is shown in Chart 4 below and a discussion will follow below Chart 4 on how Chart 4 was constructed.

At the bottom of Chart 4 is a blue trend line of NASA LOTI temperatures prior to 1950 and starting in2012 the values started going down, getting colder. At the same time the NASA LOTI temperatures from 2012 to the present went up as shown in the red line.  There was no change in the base period, black line. This cannot happen with random variables they will cancel each other out; this could only be caused by specific program changes in the process that NASA and NOAA use, in other words it is intentional. So there can be no other reason but an attempt to support the adoption of the Climate accord agreement by the administration, and they were successful as it was agreed to in Paris at COP21.

How this table was constructed is important so a discussion is needed. As stated in the opening paragraph of this paper NASA publishes a table of the estimated global temperature each month as anomalies from a base of 14 degrees Celsius. This table starts with January 1880 and runs to the current date. The new table typical comes out mid-month with the values for the previous month and for August 2017 there were 1,652 values. The process that is used to create this Table is very complex and is called homogenization. What that means is that the entire table is recreated each month and what that also means is that the temperature value for any given month is a variable.

When I realized the extent of that in 2012 I started to save the printouts of the NASA LOTI tables and I went back and found a few of them from when I started this project in 2007. When I started this project what I did is type in all the values from the NASA table into a spreadsheet each month which was a daunting task and I was very happy when NASA started to publish a csv file along with the text of the LOTI data. Then all I had to do is create a routine in excel that would turn the table format into a column format.  There are now 62 months in the spreadsheet, when I started this method in 2012 there were maybe only a dozen. The values are residing in the spreadsheet as columns going from left to right so that the individual months are lined up side by side. This makes comparison of months very easy. One note is required here, when I started this model in 07 and for several years thereafter all I was doing is adding the current NASA LOTI current months number to the existing file, a single column, and it never occurred to me that the prior numbers were changing. The past was fixed, so I thought. This was also the way I was entering the NOAA CO2 data which doesn’t change over time.

The original goal was to see if the changes were just random or rounding errors. If that was so then they would wash out over time especially if I grouped the monthly data into blocks. I’ve used both 10 year (120 values) and 20 year (240 values) blocks which would be enough to maintain a fixed number if it was random or rounding. What I found was something quite different after I had a dozen or so columns in the spreadsheet, it appeared that NASA was making the past colder and the present warmer. And the purpose of the previous two Charts 3 and 4 is to show the result. Chart 4 is a bit complex but I have not found a better way to show what happened.

From 1880 to 1960 I used four 20 year blocks.  Then I needed the base so there is a 30 year block from 1950 to 1980 and lastly four 10 year blocks from 1980 to the present. The last block is not yet complete as it will run to December 2019. Because the 30 year base block is fixed at 14.0 degrees Celsius there wasn’t much point in charting those individual yearly values even though there was some minor movement in those numbers. That raises an interesting issue for how can the base numbers not change and all the other numbers from 1880 to 2017 can change each month? A note, for each data set of years the plot on Chart 4 should be a straight line from left to right; very minor fluctuation would be OK. For example the plot for 1930 to 1949 (hidden behind the black plot) is what would be normally expected. This is the only plot that doesn’t show major manipulation.

In the four data sets in the 1880 to 1940 blocks in Chart 4 all have moved down probably about a .25 degree Celsius which is not insgnificant. So the bottom line is that NASA made all the values from 1880 to 1940 colder by an average of a quarter of a degree Celsius. So that alone accounts for a high percentage of the supposed global warming that NASA shows. From 1980 to 2009 the data change appears to add another .1 degrees Celsius making the apparent differential between data from early 00’s to the present about .35 degrees greater than it was before 2009. That is not random that is a major change and clearly shows manipulation. I would probably never had caught this is if I hadn’t put the values in column format. Looking at all the data from 2008 to 2014 we find that around 2008 NASA showed that the planet had warmed about .75 degrees, Blue double arrow, from the 19th century. Then in 2014, four years later NASA showed that the planet had warmed about .95 degrees Red double arrow from the 19th century. However it gets a worse after that.

The change started in 2012, Green Oval, and Global temperature jumped almost a quarter of a degree by December 2015 just as the COP21 conference was in session. The temperatures kept going up with an eventual increase in global temperature of about 1.2 degrees Celsius in late 2016. At that point with the pressure off NASA appears to be erasing what they did as the global temperatures have now started back down.  I’m not sure how many know of this blatant manipulation but it is serious. This is not science.

Now we need to consider other factors than CO2 on Climate change.  The fault that occurred in the work that was done in the 1980’s was in assuming that there was an optimum or constant global temperature and therefore any change that was being observed was from the increasing amount of CO2 in the atmosphere.  There may have been correlation but it was never proved that there was causation (high R2 value) between CO2 and global temperatures; Chart 3 clearly shows there is not. With that assumption, which limited options, we moved from true science into the realm of political science.  True science has an open mind and finds relationships that work in matching observations with predictions.  Political science changes history and/or facts to match the desires of the politicians. Since the politicians control the money political science is what we get; which means that what we get may not be technically correct.

A decade ago when I started looking at “climate” change the first thing I did was look at geological temperature changes since it is well known that the climate is not a constant; I learned that 52 years ago in my undergrad geology and climatology courses in 1964. The next paragraph explains currently observed patterns in climate related to this subject and is historical accurate.

Ignoring the last Ice Age which ended some 11,000 years ago when a good portion of the Northern hemisphere was under miles of ice the following observations give a starting point to any serious study on the subject of climate. First, there is a clear up and down movement in global temperatures with a 1,000 some year cycle going back at least 3,000 to 4,000 years; probably because of the apsidal precession of the earth’s orbit of about 20,000 years for a complete cycle. However about every 10,000 years the seasons are reversed making the winter colder and the summer warmer in the northern hemisphere. 10,000 years from now the seasons will be reversed again. Secondly, there are also 60 to 70 year cycles in the Pacific and the Atlantic oceans that are well documented. These are known as the Atlantic Multi Decadal Oscillations (AMO) in the Atlantic and as La Nina and El Nino in the Pacific. Thirdly, we also know that there are greenhouse gases such as carbon dioxide that can affect global temperatures. Lastly the National Academy of Sciences (NAS) estimated that carbon dioxide had a doubling rate of 3.0O Celsius plus or minus 1.5O Celsius in 1979 when there were only two studies available and one for sure and maybe both were not peer reviewed.

The result of looking objectively at the three possible sources of global temperature changes was a series of equations based on these observations that when added together produced a sinusoidal curve that seemed to follow NASA published temperatures very closely when first developed in 2007, and modified a few years later when it was found the short and long cycles were related to multiples of Pi.  Since this curve was based on observed temperature patterns it was called a Pattern Climate Model (PCM) which has been described in previous papers and posts on my blog and since it is generated by “equations” many assume it is some form of least squares curve fitting, which it is not. It does seem to be related to ocean currents where the bulk of the planet’s surface heat is stored.

Chart 5 shows the PCM a composite of two cycles and CO2. There is a long trend, 1036.7 years with an up and down of 1.65O Celsius (.00396O C per year) we in the up portion of that trend. Then  there is a 69.1 year cycle that moves the trend line up and then down a total of 0.29O Celsius and we are now in the downward portion of that trend (-.01491O C per year), which will continue until around ~2035. Lastly, there is CO2 currently adding about .0079O Celsius per year so together they all basically wash out at -.0039O C per year, which matches the current holding pattern we were experiencing until 2014. After about 2035 the short cycle will have bottomed and turn up and all three will be on the upswing again duplicating what was observed in the 1980’s.  Note: the values shown here are only representative from what is in the model.

When using a 12 month running average for global temperatures up until 2014 the PCM model was within +/- .01 degrees of what NASA was publishing in their LOTI table since the early 1960’s as shown in Chart 5. Further the back projection of the PCM plot matched historical records and global temperatures going back past the time of Christ. It should also be considered that geologically CO2 levels have reached levels many times that of the current 400 ppm without destroying the planet so the current hysteria over the current very small numbers can only be explained by political science not real science.

The nest step in this analysis is to put all of the known data and projections into Chart 6 which contains: NASA’s temperatures plot, NOAA’s CO2 plot, the CO2 model plot, the PCM model plot, Hansen’s Scenario B plot, and lastly the IPCC AR5 A2 global temperature plot. With that done we can look at the results and try to make some sense of what is going on with the various arms of the federal government that are promoting that we tax carbon based fuels to eliminate them since they are responsible for the global temperature level  going up.  As previously stated when the government pours money into the sciences the sciences respond with technical papers the support the governments views, this is what I call political science verses real science as was done prior to the 1980’s; money talks and BS walks as everyone on the street knows.

Chart 6 shows a good overview and contains no data manipulation and the only change that was made was to convert the NASA anomalies back to degrees Celsius to make it more readable to lay people.  This is only a change in units and has no bearing on the look.  We also need to understand the NASA homogenization process and its relationship to the 30 year base period. The portion in the black circle contains the NASA base period of 14.00 degrees Celsius and the reason it’s brought up here is that the Homogenization process causes the global temperatures to move around since the entire data base all the way back to 1880 is recalculated each month.  But since the base has to stay at 14.00 degrees Celsius the program must be set to not allow changes in that period of time. I’m sure the programmers have fun with that. Prior work here has shown how this creates a teeter totter effect with the data plots, some of which have recently been significant.

Next Chart 7 looks at the period from 2010 to 2020 so we can see where a change in CO2 of only a few ppm has caused a major change in the global temperature way beyond anything previously shown in any published NASA data. There are two black ovals on Chart 7 one at the top of Chart 7 which is a black oval around the CO2 levels from 2012 to 2016 and part of 2017 and it’s very obvious that there has been very little change, maybe 7 ppm or about 1.9%. Then at the bottom of Chart 7 is another black oval around the NASA global temperature levels for the same period and its very obvious that there has been a large change, almost .50 degrees Celsius or about 3.1%. There has never been such a large increase in temperature from such a small increase in CO2. By contrast the previous comparable period of the last part of 2010 through 2013 shows about the same increase for CO2 at 1.1% but no increase for global temperature but actually small decrease.

Clarification is needed here as the plot seems to show the jump in temperature in 2016 not 2015; this is a result of the large jump in temperature shown by NASA. Since we are using a 12 month moving average and the increase occurred in only a few months it actually shifted the curve into 2016. The raw data for December 2015 showed the temperature at 15.12 degrees Celsius compared to December 2014 where it was 14.78 degrees Celsius. The actual peak was in February 2016 at 15.35 degrees Celsius.   With the global temperature over 15.0 Celsius at COP21 the climate accord was approved and the manipulation was a success. After COP21 the need for Fake Warming was no longer needed and so we are now seeing a downward trend developing.

In summary, the IPCC models were designed before a true picture of the world’s climate was understood. During the 1980’s and 1990’s CO2 levels were going up and the world temperature was also going up so there appeared to be correlation and causation. The mistake that was made was looking at only a ~20 year period when the real variations in climate all move in much longer cycles of decades and centuries.  Those other cycles can be observed in the NASA data but they were ignored for some reason.  By ignoring those actual geological trends and focusing only on CO2 the Global Climate Models will be unable to correctly plot global temperatures until they are fixed.

In summary we have Chart 8 which shows why CO2 is not increasing the temperature of the planet by any meaningful amount. The problem, intentional or not, goes back to physics and how we show information. It’s critical that when we talk to nonscientists that information is properly displayed. And nowhere is this more important than when we are discussing temperature.  When we talk about weather and local temperatures its going be in Celsius (C) in the EU or degrees Fahrenheit (F) in America e.g. for the base temperature that NASA uses it’s 14.00 C or 57.20 F; but these are both relative measures and do not tell us how much heat (thermal energy) is there. To know that we must use Kelvin (K) and that would be 287.150 K and all three of those numbers 14.00 C, 57.20 F, and 287.150 K are exactly the same temperature, just using a different base. But if the current temperature is 15.00 C that is a 7.1% increase in C, a 3.1% increase in F and a .35% increase in K; so which one is real? The answer is .35% because Kelvin is the only one that measures the total energy!

To show this graphically Chart 8 was constructed by plotting CO2 as a percentage increase from when it was first measured in 1958 the Black plot, the scale is on the left and it shows CO2 going up 28.3% by August of 2017. That is a large change as anyone would agree.  Now how about temperature, well when we look at the percentage change in temperature using the proper units Kelvin we find that the changes in global temperature are almost unmeasurable. The red plot, also starting in 1958, shows that the thermal energy in the earth’s atmosphere has varied by less than +/- .17%; while CO2 has increased by 28.3% which is over 80 times that of increase in temperature. So is there really a problem here?

Lastly, Chart 9 shows what a plot of the PCM model, in yellow, would look like from the year 1400 to the year 2900. This plot matches reasonably well with recorded history and fits the current NASA-GISS table LOTI data, in red, very closely, despite homogenization.  I do understand that this PCM model is not based on physics but it is also not some statistical curve fitting. It’s based on observed reoccurring patterns in the climate. These patterns can be modeled and when they are, you get a plot that works better than any of the IPCC’s GCM’s. If the real conditions that create these patterns do not change and CO2 continues to increase to 800 ppm or even 1000 ppm then this model will work well into the foreseeable future.  150 years from now global temperatures will peak at around 15.750 to 16.000 C and then will be on the downside of the long cycle for the next ~500 years.

The overall effect of CO2 reaching levels of 1000 ppm or even higher will be about 1.50 C which is about the same as that of the long cycle.  The Green plot on Chart 9 shows the observed pattern with no change in CO2 from the pre-industrial era of ~280 ppm. CO2 cannot affect global temperatures more than 1.500 C +/- no matter what the ppm level of CO2 is. The reason being that the CO2 sensitivity value is not 3.00 per doubling of CO2 but less than 1.00 C per doubling of CO2 as shown in more current scientific work and it’s a logistics curve not a log curve.

The purpose of this post is to make people aware of the errors inherent in the IPCC models so that they can be corrected. 

The Obama administration’s “need” for a binding UN climate treaty with mandated CO2 reductions in Europe and America was achieved as predicted at the COP12 conference in Paris in December 2015. To support this endeavor NASA was forced to show ever increasing global temperatures that will make less and less sense based on observations and satellite data which will all be dismissed or ignored.  Within a few years the manipulation will be obvious even to those without knowledge in the subject, but by then it will be to late the damage to the reputation of science will have been done.

In closing keep this in mind. The current panic generated by the government using political science is that the current global temperature of around 15.0O Celsius is an increase of 7.14% from the 1960’s when the global temperature was 14.0O Celsius; and that does seem like a lot. However those views would be in error as the actual increase in thermal energy, as measured by temperature, would be only .35% because we must use Kelvin not Celsius when working with heat energy. When we use kelvin the temperature goes from 287.15O K to 288.15O K which is only .35% not 7.14% about 1/20 of what is implied by the IPCC. What the IPCC shows is not technically wrong as much as it is extremely misleading to anyone without a very strong science background.

 

Sir Karl Raimund Popper (28 July 1902 – 17 September 1994) was an Austrian and British philosopher and a professor at the London School of Economics. He is considered one of the most influential philosophers for science of the 20th century, and he also wrote extensively on social and political philosophy. The following quotes of his apply to this subject.

If we are uncritical we shall always find what we want: we shall look for, and find, confirmations, and we shall look away from, and not see, whatever might be dangerous to our pet theories.

Whenever a theory appears to you as the only possible one, take this as a sign that you have neither understood the theory nor the problem which it was intended to solve.

… (S)cience is one of the very few human activities — perhaps the only one — in which errors are systematically criticized and fairly often, in time, corrected.

 

Oyster, Clams & Mussels Produce Massive Global Warming Gas


 

Well, you can help save the planet by eating more oysters, clams, and mussels since it has been discovered that they produce 8 times more Global Warming gasses than even cows, that the EU wanted to regulate cow farting. A new study now blames these creatures for putting out gasses significantly more given their size.

The new study from Sweden reports that these creatures produce “ridiculous” levels of climate-warming gasses. Obviously, the solution to saving the planet is killing all the cows and drink almond milk, give up your job and live off of welfare as the government wants in Canada, eat as many oysters, clams, and mussels as you can, if you have to absolutely have sex use condoms to reduce the population in the industrialized world at least, and government should do its part and impose a permit to have sex and tax it.

Politicians Start to Run Away from Global Warming


Politicians have been confronted with the real cost of their support for global warming. France has suddenly come out in support of diesel because of the jobs that could be lost. The diesel crisis may have started in Germany, but there are more diesel car owners in Europe as a whole.

Suddenly, when confronted with the loss of jobs, the politicians are turning against global warming and revealing that the scientists have been WRONG on their timing. The actual study claims we will need another 30 years to reach a level of carbon to raise the temperature by 1.5 degrees C. It still only addresses the level of carbon in the air to raise the temperature and does not address that carbon has been significantly higher historically before cars. It simply employs linear analysis and assumes whatever trend is in motion will remain in motion. They ignore even the laws of thermodynamics.

Indeed, the politicians were eager to jump on the global warming theory because they have been able to raise taxes without providing a corresponding cost. The estimated cost to the private sector for global warming has reached about $1 trillion globally. The price of everything from electricity to gasoline has risen due to global warming taxes. Not to mention, it is driving the cost of meat and dairy products higher with claims that cows, the second-leading culprit behind cars, produce damaging gas to the environment. Look at the taxes on air travel. On average, 50% of the price goes toward taxes.

We are starting to now see more and more articles in the major press exposing that global warming is a fraud (see Sun; Independent; Australian; National Geographic).

Ice Core Samples Prove CO2 Levels Lag Behind Temperature Increases


QUESTION: Are you saying there is no direct correlation between CO2 and a rise in temperature?

ANSWER: Correct. We have data going back 800,000 years that was gathered from drilling core samples from deep underneath the ice sheets of Greenland and Antarctica. Detailed information on air temperature and CO2 levels disproves that a rise in CO2 will cause a rise in temperature. The core samples from EPICA Dome C ice core on the Antarctic Plateau establish that temperature rises first and CO2 level follow in a lagging manner. All of this was well before human kind (see ScientifAmerican). So is it the chicken or the egg? Which comes first?

Data has also established that the cooling of the Earth seemingly begun 200 years ago in the North before it spread to the South. Changes in the ocean currents appear to have been the catalyst for the major ice ages.

Climate Change & Economic Activity


QUESTION: Hi Martin,

I was wondering why a cold period would result in a commodity rise?
Thank you in advance for your time.
MG

ANSWER: When the climate turns cold, that is when food shortages takes place. When the climate turns warm, that is when economic activity starts and empires expand. The cold period we are entering will be on time for the shift in empires going forward.

global-warming-cyclical

All the great empires expanded during warming periods – not cold.

Climate Change on the Horizon


QUESTION: Marty,

I’ve been looking at the Year Without a Summer on Wikipedia and read that there was a cooling trend prior to the winter-like conditions during the summer of 1816. It mentioned that it affected the northeast. Also that the reason for the cooling trend is associated with the volcanic activity prior to and including 1816 and the reduction in solar output. The article also mentions that from 1628-1626BC that there was another climate disturbance, Minoan eruption of Santorini. Looking at 1628BC to 1816AD and using 3141.592 days/cycle results in 400.13 cycles. Using 1628BC and projecting it 424 cycles puts us around 2021.42. Knowing from history how this climate disturbance affected the Northeast, is that one of the reasons why you moved from New Jersey to sunny Florida, besides the hunt for taxes in NJ?

ANSWER: Yes, Add the 300 year cycle in the energy output of the sun and we see that we are headed into a cold period. This should also result in a commodity cycle boom going in the next 8.6 year wave into 2024.

Climate Change Scientists Backtracking On New Data At Last


The headline in the London Times: “We were wrong — worst effects of climate change can be avoided, say experts Scientists admit that world is warming more slowly than predicted.” The analysis of Global Warming has been the one of the greatest absurd propositions of modern times. With a tiny fraction of data on climate from 1850 forward, the argument that man has created global warming is as absurd as looking at the Dow Jones Industrial Index for one month and concluding that it only rises.   There has been a climate cycle to the arctic that has been reported all along. There was a warming period in 1939 and again in 1952 reported in newspapers of how Greenland was melting. They there have been periods of expansion of ice as we have see this past year. The bottom line – it’s just a cycle and we lack the ability to alter the climate of the earth. Pollution is a separate and distinct issue. Creating smog or polluting a lake is certainly within our capacity. But changing the climate of the earth is far removed from the ability of humankind. Even nuclear bombs and accidents do not alter the climate.

Analysis of Global Temperature Trends, August, 2017, what’s really going on with the Climate?


The analysis and plots shown here are based on the following two data series. First NASA-GISS estimates of a global temperature shown as an anomaly (converted to degrees Celsius) as shown in their table Land Ocean Temperature Index (LOTI) and shown in the following Chart as the red plot labeled NASA. This plot is shown as a twelve month moving average to minimize the large monthly swings and better show trends; the scale for the temperatures is on the left. Second NOAA-ESRL Carbon Dioxide (CO2) values in Parts Per Million (PPM) which are shown in the following Chart as a black plot labeled NOAA. This plot is shown exactly as the data from NOAA is presented and there is no need for a moving average the scale for CO2 is shown on the right.

NASA published data as stated in the first paragraph is shown as an anomaly, but what is a temperature anomaly?  An anomaly is a deviation from some base value normally an average that is fixed. There were two problems with the system that NASA picked which were number one there is no “actual” global temperature and two since climate is a variable there cannot be a real base to measure from. NASA known for its science and engineering expertise back in the day thought it could get around these issues and created a system to do so. First they developed a computer model which took readings from all over the planet and made significant adjustments to them called homogenization and came up with the estimated global temperature. Second they picked the period 1950 to 1980 (30 years) and averaged the values and came up with 14.00 degrees Celsius and make that their base.  Then they took the calculated temperature and subtracted the base from it which gave them the anomaly. The problem is that both the base and the anomaly are arbitrary.

Now that we have a base to work with we are going to add to the previous Chart three things. The first is a trend line of the growth in CO2 since that is the entire basis for climate change according to the government through NASA and NOAA. That plot is superimposed over the black plot of the actual NOAA CO2 values as the cyan line labeled as the CO2 Model and one can see there is a very good fit to the actual NOAA values so there should be no dispute about its validity.  This plot allows us to make projections to future global temperatures according to the projected level of CO2 .  The second added item is James E. Hansen’s Scenario B data, which is the very core of the IPCC Global Climate models (GCM’s) and which was based on a CO2 sensitivity value of 3.0O Celsius per doubling of CO2. This plot is shown here in lavender and is part of a presentation that Hansen showed to congress in 1988 when the UN was about to set up the International Panel on Climate Change (IPCC) and this plot is labeled as Hansen Scenario B which Hansen stated was the most likely to happen based on his theories’.  The third item is the current plot of the most likely temperature of the planet based on the growth of CO2 published by the IPCC. This plot is shown in Red and is labeled as IPCC AR5 A2 as that is the table where the data was found. This plot is a GCM computer projection of the planets temperature based on the complex relationships developed on the levels of CO2 by the IPCC primarily though NASS and NOAA.

It can be seen in this Chart that the lavender plot and the Hansen plot are very close from 1965 to around 2000 after that, from 2000 to 2014, there is a very large and growing deviation reaching close to .5 degrees Celsius in 2014, which is not an insubstantial number.  Also of note is that there doesn’t seem to be a good correlation between the growth in CO2 and the increase in the planets temperature. The CO2 is going up in a log function and the Temperature was going down in a log function until recently where it reversed in 2015 and is now going up in a log function. That unexplained and major change in temperature direction appeared to have occurred between 2013 and 2014 and is the subject of this monthly paper.

The next Chart is developed from the raw data from NASS and NOAA as shown in the first Chart.  This plot was made first by adding ten years blocks of temperature and CO2 as indicated in the Chart and diving by 120 to give an average for each.  Then the average Temperature was divided by the average CO2 to give degrees of temperature increase per PPM of CO2. After that was plotted it appeared that there were two different curves. the first was from block 1965-1974 through block 2004-2014 shown as Black Dots and the second was from block 1995-2004 through block 2005-2016 shown as Black Dashes. When trend lines were added they were both almost perfect fits to the raw data and so you cannot see the data points very well on the Chart.  These blocks were picked to represent the entire period of time where we had both NASA temperature data and NOAA CO2 levels.

On the following Chart are two sets of color coded information. The first is Cyan plot and the Cyan box with the equation in it along with the R2 value of 1.0 are for the first series from block 1965-1974 through block 2004-2014. The other is the Red plot and the Red box with the equation in it along with the R2 value of 1.0 which are for the first series from block 1965-1974 through block 2004-2016. We can speculate on how this change has happened but it cannot be said that the plot change is not real; however additional data over the next few years will be required to actually prove that something has changed.

In summary the Cyan data set indicates a diminishing effect of CO2 on global temperature for about 54 years and the Red data set represents an increasing effect of CO2 on global temperature for the past 2 years. Since both data sets have an R2 value of 1.00 the trend lines cannot be in question.

Before we get into a possible explanation to the drastic change from the Cyan data to the Red data that occurred in 2014 we need to consider other factors than CO2 on Climate change.  The fault that occurred in the work that was done in the 1980’s was in assuming that there was an optimum or constant global temperature and therefore any change that was being observed was from the increasing amount of CO2 in the atmosphere.  There may have been correlation but it was never proved that there was causation (high R2 value) between CO2 and global temperatures. With that assumption, which limited options, we moved from true science into the realm of political science.  True science has an open mind and finds relationships that work in matching observations with predictions.  Political science changes history and/or facts to match the desires of the politicians. Since the politicians control the money political science is what we get; which means that what we get may not be technically correct.

A decade ago when I started looking at “climate” change the first thing I did was look at geological temperature changes since it is well known that the climate is not a constant; I learned that 52 years ago in my undergrad geology and climatology courses in 1964. The next paragraph explains currently observed patterns in climate related to this subject and is historical accurate.

Ignoring the last Ice Age which ended some 11,000 years ago when a good portion of the Northern hemisphere was under miles of ice the following observations give a starting point to any serious study on the subject of climate. First, there is a clear up and down movement in global temperatures with a 1,000 some year cycle going back at least 3,000 to 4,000 years; probably because of the apsidal precession of the earth’s orbit of about 20,000 years for a complete cycle. However about every 10,000 years the seasons are reversed making the winter colder and the summer warmer in the northern hemisphere. 10,000 years from now the seasons will be reversed again. Secondly, there are also 60 to 70 year cycles in the Pacific and the Atlantic oceans that are well documented. These are known as the Atlantic Multi Decadal Oscillations (AMO) in the Atlantic and as La Nina and El Nino in the Pacific. Thirdly, we also know that there are greenhouse gases such as carbon dioxide that can affect global temperatures. Lastly the National Academy of Sciences (NAS) estimated that carbon dioxide had a doubling rate of 3.0O Celsius plus or minus 1.5O Celsius in 1979 when there were only two studies available and one for sure and maybe both were not peer reviewed.

The result of looking objectively at the three possible sources of global temperature changes was a series of equations based on these observations that when added together produced a sinusoidal curve that seemed to follow NASA published temperatures very closely when first developed in 2007.  Since this curve was based on observed temperature patterns it was called a Pattern Climate Model (PCM) which has been described in previous papers and posts on my blog and since it is generated by “equations” many assume it is some form of least squares curve fitting, which it is not. It does seem to be related to ocean currents where the bulk of the planet’s surface heat is stored.

The following Chart shows the PCM which is a composite of two cycles and CO2. There is a long trend, 1036.7 years with an up and down of 1.65O Celsius (.00396O C per year) also observed in the NASA data as the base. Then  there is a 69.1 year cycle that moves the trend line up and then down a total of 0.29O Celsius and we are now in the downward portion of that trend (-.01491O C per year) which will continue until around ~2035.  This short cycle is clearly observed in the raw NASA data in the LOTI table going back to 1880. Lastly, there is CO2 currently adding about .0079O Celsius per year so together they all basically wash out at -.0039O C per year, which matched the current holding pattern we were experiencing until 2014. After about 2035 the short cycle will have bottomed and turn up and all three will be on the upswing again duplicating what was observed in the 1980’s.  Note: the values shown here are only representative as the actual model uses many more places than what are shown here.

When using the 12 month running average for global temperatures up until 2014 the PCM model was within +/- .01 degrees of what NASA was publishing in their LOTI table since the early 1960’s as shown in the next Chart. Further the back projection of the PCM plot matched historical records and global temperatures going back past the time of Christ. It should also be consider that geologically CO2 levels have reached levels many times that of the current 400 ppm without destroying the planet so the current hysteria over the current small numbers can only be explained by political science not real science.

The nest step in this analysis is to put all of the known data and projections into one Chart which will contain: NASA’s table LOTI global temperature estimates, NOAA’s actual CO2 values, the CO2 model projections, the PCM model global temperature plot, Hansen’s Scenario B 1988 global temperature plot, and lastly the IPCC AR5 A2 global temperature plot. With that done we can look at the results and try to make some sense of what is going on with the various arms of the federal government that are promoting that carbon based fuels be eliminated since they are responsible for the global temperature level  going up.  As previously started when the government pours money into the sciences the sciences respond with technical papers the support the governments views, this is what I call political science verses real science as was done prior to the 1980’s; money talks and BS walks as everyone on the street knows.  This Chart views a good overview of the current situation showing all the facts and all the projections.

This Chart contains no manipulation of the data and the only change that was made was to convert the NASA anomalies back to degrees Celsius to make it more readable to lay people.  This is only a change in units and has no bearing on the look.  A subject not broached here is that of the NASA homogenization process itself and the base period from 1950 to 1980. The portion in the black circle contains the NASA base period of 14.00 degrees Celsius and the reason it’s brought up here is that the Homogenization process causes the global temperatures to move around since the entire data base all the way back to 1880 is recalculated each month.  But since the base has to stay at 14.00 degrees Celsius the program must be set to not allow changes in that period of time. I’m sure the programmers have fun with that. Prior work here has shown how this creates a teeter totter effect with the data plots, some of which have recently been significant.

The next Chart will be a look at the period from 2010 to 2020 so we can see the detail of the past few years where a change in CO2 of only a few ppm has caused a major change in the global temperature way beyond anything previously shown in any published NASA data. There are two black ovals on the Chart one at the top of the Chart which is a black oval around the CO2 levels for 2012, 2013, 2014, 2015 and part of 2016 and it’s very obvious that there has been very little change, maybe 7 ppm or about 1.9%. Then at the bottom of the Chart is another black oval around the NASA global temperature levels for 2012, 2013, 2014, 2015 and part of 2016 and its very obvious that there has been a very large change, almost .50 degrees Celsius or about 3.1%. There has never been such a large increase in temperature from such a small increase in CO2.

By contrast the previous comparable period of the last part of 2010 through 2013 shows about the same increase for CO2 at 1.1% but no increase for global temperature but actually small decrease. Worse it appears that this current strange upward trend will continue as the values shown here are based on a 12 month moving average and the current values being published by NASA were unusually high starting in 2014 and therefore I expected the NASA plot to be well over 15.00 Celsius before the end of 2015 and that is exactly what happened. After COP21 the need for Fake Warming was no longer needed and so we are now seeing a downward trend developing. With the new administration we may see the end of data manipulation from NOAA and NASA and a return to real science political science.

In summary, the IPCC models were designed before a true picture of the world’s climate was understood. During the 1980’s and 1990’s CO2 levels were going up and the world temperature was also going up so there appeared to be correlation and causation. The mistake that was made was looking at only a ~20 year period when the real variations in climate all move in much longer cycles of decades and centuries.  Those other cycles can be observed in the NASA data but they were ignored for some reason.  By ignoring those trends and focusing only on CO2 the models will be unable to correctly plot global temperatures until they are fixed.

Lastly, the next chart shows what a plot of the PCM model, in yellow, would look like from the year 1400 to the year 2900. This plot matches reasonably well with recorded history and fits the current NASA-GISS table LOTI data, in red, very closely, despite homogenization.  I understand that this model is not based on physics but it is also not true curve fitting. It’s based on observed reoccurring patterns in the climate. These patterns can be modeled and when they are, you get a plot that works better than any of the IPCC’s GCM’s. If the conditions that create these patterns do not change and CO2 continues to increase to 800 ppm or even 1000 ppm than this model will work well into the foreseeable future.  150 years from now global temperatures will peak at around 15.750 to 16.000 C and then will be on the downside of the long cycle for the next ~500 years.

The overall effect of CO2 reaching levels of 1000 ppm or even higher will be about 1.50 C which is about the same as that of the long cycle.  The Green plot on the Chart shows the observed pattern with no change in CO2 from the pre-industrial era of ~280 ppm. CO2 cannot affect global temperatures more than 1.500 C +/- no matter what the ppm level of CO2 is. The reason being that the CO2 sensitivity value is not 3.00 per doubling of CO2 but under 1.00 C per doubling of CO2 as shown in more current scientific work.

The purpose of this post is to make people aware of the errors inherent in the IPCC models so that they can be corrected. 

The Obama administration’s “need” for a binding UN climate treaty with mandated CO2 reductions in Europe and America was achieved as predicted at the COP12 conference in Paris in December 2015. To support this endeavor NASA was forced to show ever increasing global temperatures that will make less and less sense based on observations and satellite data which will all be dismissed or ignored.  Within a few years the manipulation will be obvious even to those without knowledge in the subject, but by then it will be to late the damage to the reputation of science will have been done.

In closing keep this in mind. The current panic generated by the government using political science is that the current global temperature of around 15.0O Celsius is an increase of 7.14% from the 1960’s when the global temperature was 14.0O Celsius; and that does seem like a lot. However those views would be in error as the actual increase in thermal energy, as measured by temperature, would be only .35% because we must use Kelvin not Celsius when working with heat energy. When we use kelvin the temperature goes from 287.15O K to 288.15O K which is only .35% not 7.14% about 1/20 of what is implied by the IPCC.

 

Sir Karl Raimund Popper (28 July 1902 – 17 September 1994) was an Austrian and British philosopher and a professor at the London School of Economics. He is considered one of the most influential philosophers for science of the 20th century, and he also wrote extensively on social and political philosophy. The following quotes of his apply to this subject.

If we are uncritical we shall always find what we want: we shall look for, and find, confirmations, and we shall look away from, and not see, whatever might be dangerous to our pet theories.

Whenever a theory appears to you as the only possible one, take this as a sign that you have neither understood the theory nor the problem which it was intended to solve.

… (S)cience is one of the very few human activities — perhaps the only one — in which errors are systematically criticized and fairly often, in time, corrected.

Global Warming & Storms


While some of the news coverage was interjecting global warming as the cause of the storm, in fact it tends to work in the opposite direction. This has been a sharply declining period of temperature. I wrote about how this was the year without an Arctic Summer.  This has been the coldest summer in Europe and even in the States on the East Coast during August to early September. I went to visit family in August and had to buy a coat in New Jersey. In Australia there has been the coldest night on record in New South Wales. The warm water colliding with cooler air tends to make for bigger storms.

One of the major news stations was attributing Miami sinking into the water to Global Warming claiming this was PROOF of rising sea levels.  Pictured here is Wildwood New Jersey which was famous in the 60s with Bobby Rydell’s song. I use to go there as a kid. The piers were once upon a time actually in the water. You could go on a pier and fish.

The beach has risen so much it is well beyond the piers today. Is this PROOF that sea levels are falling? No! So the fact that Miami is sinking is by NO MEANS PROOF of Global Warming. The sea coast rises and falls with the storms, which change the under water topography offshore. Ever since Sandy hitting New Jersey, there are parts of Long Beach Island that now flood in a rain storm.

It is NOT Global Warming that is to blame for Miami sinking. It is the simple fact that the beaches always change. I have lived on the beach for probably 30 years. It is like watching a movie. It is constantly changing. The sand rises and falls. It does not remain unchanged. Welcome to mother nature.