First, a generic wind stress definition is in order.
surface roughness (i.e., turbulence) as measured by satellite technology, is
referred to as 'wind stress' in climate models. In plain-speak, it is sea surface turbulence, obviously
driven by wind speed and direction, in addition to being impacted by atmospheric density/pressures, sea surface
temperatures, sea buoyancy and currents. Wind stress affects the air-sea heat exchange,
as well as the mixing of carbon/heat stored in the deeper parts of oceans. Wind
stress also has impacts on cloud cover, ocean current circulations and sea ice
In essence, wind stress is a powerful and critical elemental
influence on the world's climate. Thus, to forecast future climate conditions
with any sort of accuracy, it is absolutely necessary to be able to accurately simulate
As this latest peer reviewed scientific research reveals,
all climate "experts" and the IPCC's climate models remain unable to
accurately simulate wind stress on their massively expensive, sophisticated,
complex computer models.
National, regional and local politicians/policymakers, and those unelected bureaucrats, rely on the IPCC's climate models (and other similar simulations) to justify and make plans for vast expenditures of taxpayers' dollars to vanquish climate change.
Unfortunately, as this peer reviewed article finds, the latest climate models are absolutely worthless in regards to rational policy-making and expenditures for future weather/climate.
Intuitively, one would expect that after the gargantuan, multi-billion dollar sums that climate modellers spent, their sophisticated computer simulations would now, at minimum, accurately forecast the impacts of incredibly large weather phenomenon that occur regularly, such as the east Asian monsoons. Not so, as this scientific research clearly documents.
More often than not, the biggest, baddest, most complex and expensive models have a long history at abysmal prediction skill.
Objectively, the models
remain good tools for climate researchers to learn from, but they really
can't predict squat when it comes to future climate reality, and should never be used for that purpose.
The prediction failure rate of the IPCC and global warming alarmists has simply been astounding.
It is highly certain, at least a 95% certainty, that there has never been an organization so inept at predictions.
The latest prediction failure is one that states that as the earth warms, the world's peatlands would release their sequestered CO2. This release would then unleash a climate positive feedback, thus warming the world even further.
As this new study discovered, per the empirical evidence, as the earth warmed, even more CO2 was sequestered in the peatlands - the direct opposite of the IPCC alarmist community prediction. Absolutely zilch positve feedback took place
The taxpayer-funded, billion-dollar black holes known as 'climate models' have been unable to predict squat when it comes to future climate conditions - as with global temperatures, the same holds true for the newer IPCC models predicting Antarctic sea ice extent.....it's the 'same old, same old'
Untold resources have been spent by government bureaucrats in an attempt to improve the dismal performance of the CMIP3 computer climate models. After billions being spent on these IPCC CMIP-class of models one would expect that they would have a confirmed capability to accurately predict Antarctic sea ice reality.
At least that's what 5 climate scientists expected. Wrong.
"The authors write that "Phase 5 of CMIP (CMIP5) will provide the model output that will form the basis of the Fifth Assessment Report (AR5) of the IPCC [Intergovernmental Panel on Climate Change]," and they therefore thought it important to determine how well these models represent reality...examined "the annual cycle and trends in Antarctic sea ice extent (SIE) for 18 models used in phase 5 of the Coupled Model Intercomparison Project that were run with historical forcing for the 1850s to 2005."...report that (1) "the majority of models have too small of an SIE at the minimum in February," that (2) "several of the models have less than two-thirds of the observed SIE at the September maximum," that (3) "in contrast to the satellite data, which exhibit a slight increase in SIE, the mean SIE of the models over 1979-2005 shows a decrease in each month," that (4) "the models have very large differences in SIE over 1860-2005," and that (5) "the negative SIE trends in most of the model runs over 1979-2005 are a continuation of an earlier decline, suggesting that the processes responsible for the observed increase over the last 30 years are not being simulated correctly." [John Turner, Thomas Bracegirdle, Tony Phillips, Gareth Marshall, Scott Hosking 2013: Journal of Climate]
Computer model simulations of complex, chaotic systems often are massive failures producing worthless prediction output.....all the climate models used by the IPCC and the major climate research agencies are no different - with that said, there are times when a simpler and more elegant model approach can produce superior results despite the chaos at hand, and for a fraction of the cost
(click on graphs to enlarge)
Above are plots of several climate models updated with the most current HadCRUT and/or NASA-GISS global temperature observations. As noted in previous 'C3' posts, the traditional, wildly expensive climate agency computer models have done an absolute abysmal job at forecasting climate change and global warming.
Charts 2, 3 and 4 reveal the massive forecasting failure that the billion-dollar climate simulations have delivered. In the face of consistent, very predictable growth in CO2 emissions over the 21st century, each of these models predicted a huge increase in global temperatures, which turned out to be the opposite of climate reality.
Chart #2 deserves special note. This is the NASA/James Hansen model of global temperatures that has been used since 1988 to effectively frighten the public. In 1988, James Hansen predicted that if human CO2 emissions growth continued in a "business as usual" manner then we would face runaway global warming - this outcome is depicted by the bright green curve labeled 'Scenario A' on Chart #2.
When Hansen made this prediction, the human CO2 emissions "business as usual" growth amounted to an approximate 32% increase over the prior 15 years to 1988. In contrast, the 15 years prior to 2013 saw CO2 emissions grow by about 41% - a significantly robust increase over Hansen's "business as usual" scenario.
Yet the actual plotted global temperature results on Chart #2, through June 2013, reveal that global warming has died and world temperatures are well below the NASA "business as usual" scenario. In fact, the actual temperatures are practically below the NASA model's 'Scenario C' (the cyan/aqua curve on chart) that assumes CO2 emissions had been reduced to year 2000 levels.
As the actual, objective empirical evidence clearly documents, the consensus "expert" models are severely flawed.
However, not all models are created equal and the one that produces the best global temperature predictions is also the one that is the most elegant, simplest and least costly. That model's superior performance is shown in Chart #1 (click on to enlarge).
This model was developed by Duke University scientist, Nicola Scafetta. This model's description and results are explained here and here. Needless to say, this model's continuing success is a product of non-consensus thinking, which the IPCC's climate "experts" reject because Scafetta's model is not based on the very obviously crippled CO2-AGW hypothesis.
And that's why the mainstream science/environmental "journalists" have not made this model's success widely known since it inconveniently, and embarrassingly, establishes that all their previous extreme global warming forecast articles per the consensus "experts" were wrong.
Note: If you desire to produce your own Excel chart to compare against Chart #4, download CMIP3 and HadCRUT3 data from here. For 'C3' Excel charts/graphs, this link has the vast majority of datasets used at our site.
The IPCC's climate models and multiple government climate "experts" have proven time and again that they are completely unable to make reliable predictions of global climate attributes - this time, the climate reality wake-up call finds Australian government scientists to be wildly wrong regarding their "accelerating" sea level predictions
(click on image to enlarge, image source, temperature data)
As has now become well established, climate experts and their climate models have done an abysmal job at predicting global temperatures. This spectacular prediction failure has led to even greater failures for predictions of multiple climate attributes, including global sea levels.
A new study has analyzed the sea level prediction capabilities of Australian government experts and found extreme prediction failure, which is another resounding testament to the gigantic waste of climate research billions over the last few decades.
"In view of the data presented, we believe that we are justified to draw the following conclusions:
(1) The official Australian claim of a present sea level rise in the order of 5.4mm/year is significantly exaggerated
(2) The mean sea level rise from Australian tide gauges as well as global tide gauge networks is to be found within the sector of rates ranging from 0.1 to 1.5 mm/year
(3) The claim of a recent acceleration in the rate of sea level rise cannot be validated by tide gauge records, either in Australia or globally. Rather, it seems strongly contradicted
The practical implication of our conclusions is that there, in fact, is no reason either to fear or to prepare for any disastrous sea level flooding in the near future." [Nils-Axel Morner, Albert Parker 2013: Environmental Science]
1. Expert climate model predictions of catastrophic accelerating sea level increases are wildly wrong
2. CO2-centric climate models that focus almost entirely on the impact of human trace emissions of greenhouse gases produce erroneous and unreliable predictions for policymakers
3. The IPCC and large government computer climate models can't predict squat
Note: Chart has 36-month average HadCRUT4 global temperature curve (#7 maroon) superimposed.
The CAGW climate change alarmists and "experts" fill the mainstream media with frightening tales of looming disasters, including crop failures that will lead to mass starvation - but when compared to global warming reality and actual world rice production and yield, the research and empirical evidence show output results are enhanced, not harmed
(click on images to enlarge, data source, rice image source)
The green-religion fundamentalists have a long history of making crop failure and massstarvation predictions. A 2010 study by a group of academia warming alarmists added to the collection of doom prognostications of coming crop failures, due to anthropogenic warming from human CO2 emissions.
As the above chart on the right indicates however, despite the modest global warming since the 1970's, and the massive increase of human CO2 levels, world rice production increased and continues to do so. Why?
Well, certainly better agriculture methods and technology made fools of the green 'Earth Day' fanatics. In addition, the latest research actually documents with irrefutable evidence that rice crop yield benefits from both warmer temperatures and higher CO2 levels.
Roy et al..."the five researchers from the Central Rice Research Institute of India conducted a three-year open-top-chamber field study to observe the effects of elevated as opposed to ambient atmospheric CO2 concentration (550 vs. 390 ppm), as well as elevated temperature (T, 2°C above ambient temperature), on dry matter production, carbon (C) and nitrogen (N) concentrations in plant parts, and their allocation in a tropical rice cultivar...Results of the experiment revealed the following responses in the elevated CO2/elevated temperature treatment: (1) Dry matter accumulation in the aboveground portion of the rice plants was enhanced by 18.1% at maturity. (2) Root biomass, leaf area index and net carbon assimilation rates also increased significantly. (3) Grain yield was significantly higher (19.6%) in the CO2-enriched treatment. (4) The net carbon yield increased by 24.2%. (5) Nitrogen allocation increased significantly in leaf (13%), stem (14%) and panicle (17%) at maturity. [K.S. Roy, P. Bhattacharyy, S. Neogi, K.S. Rao, T.K. Adhya 2012: Field Crops Research]
1. Global warming alarmists' predictions of world hunger and mass deaths should not be believed
2. Green agenda-driven foretelling of crop failure and starvation from higher CO2 levels and warmer temperatures are obviously without much merit
3. Rice crop yield and production improvements will likely continue despite the doomsday predictions
For decades, the mainstream journalists have dutifully reported hysterical alarmism generated by a minority of scientists dedicated to the concept of human CO2-caused catastrophic anthropogenic global warming (CAGW)...this style of sensationalist, tabloid "climate science" journalism however is dependent on either a condition of stuck-on-stupid mentality or a highly biased, politically motivated political agenda, not on scientific empirical evidence
Read here. Adjacent is a chart that depicts the output of climate alarmism of catastrophic global warming scientists, versus scientific reality. Per this empirical evidence, the experts and their wildly expensive, souped-up CAGW spreadsheet models obviously can't predict squat.
Despite this well documented, spectacular and long known failure of the "consensus," "expert" climate models, the stuck-on-stupid tabloid press is just now coming to grips with their own spectacular stupidity (gullibility?).
It would benefit all Americans, and the rest of the world's populace, if everyone just simply ignored the mainstream press in regards to any type of science reporting - if that were to happen, incredibly wasteful dumb policies would not be implemented by an even stupider class of individuals - the politicians.
The IPCC predicted that sea levels would rise to dangerous levels from CO2-induced climate change - satellite data for Hawaii and a new peer reviewed study eviscerates the IPCC's catastrophic global warming hysteria
The image on the left is the main Hawaiian Island with a red circle denoting the coastal region near the community of Captain Cook, Hawaii. The chart on the right is a plot of satellite data of Captain Cook coastal sea surface heights, and monthly atmospheric CO2 levels, since 1992.
Clearly, per the satellite data, the hysterical IPCC prediction that human CO2 emissions would cause dangerous, accelerating sea level rise and swamp Pacific Ocean islands is totally discredited. Not only has human CO2 not unleashed catastrophic sea level rises (i.e. climate change), human emissions have not unleashed rapidly increasing, catastrophic global warming.
Regarding global sea levels, a new peer reviewed study found that both satellite and tide gauge empirical observations indicate that sea levels are driven by a natural 60-year oscillation. Essentially, sea levels will naturally rise and fall regardless of atmospheric CO2 levels.
"Over the last decade," in the words of Chambers et al. (2012), "numerous papers have commented on the appearance of decadal and longer period fluctuations in select tide gauge records... And in their own study of long tide gauge records in every ocean basin, Chambers et al. find that there is, indeed, "a significant oscillation with a period around 60-years in the majority of the tide gauges examined during the 20th century."...they rightly state that the 60-year oscillation does change "our interpretation of the trends when estimated over periods less than one-cycle of the oscillation." And, therefore, they conclude that "although several studies have suggested the recent change in trends of global sea level rise reflects an acceleration, this must be re-examined in light of a possible 60-year oscillation [italics and bold added]," in further support of which contention they note that "there have been previous periods where the rate was decelerating..." [Don P. Chambers, Mark A. Merrifield, R. Steven Nerem 2012: Geophysical Research Letters]
1. Per the empirical satellite data, human CO2 emissions are not causing an accelerating sea level rise that is swamping Pacific Ocean islands, and thus causing a vast migration of climate change refugees (another hysterical IPCC prediction spread by climate liars).
2. Per scientific research, there exists a natural 60-year oscillation of sea surface heights that better explains sea height change than the alarmist CAGW hypothesis.
The ultimate test for the IPCC's catastrophic AGW hypothesis is the existence of the predicted "hotspot" that is a sign of a positive feedback loop for accelerating global warming - newest data show that even after record setting human CO2 emissions the "hotspot" failed to materialize
Per the IPCC's global warming hypothesis, at the very top of the troposphere, above the equator region, is the location (12km, 200hPa @ 20°N - 20°S) that triggers a positive climate feedback, which produces the mythical runaway, tipping point of accelerated, dangerous global warming, which of course is unequivocal and irrefutable, except when it isn't.
This location is often referred to as the tropical "hotspot," supposedly an artifact of modern industrial/consumer human CO2 emissions.
The high climate sensitivity programmed into the IPCC's climate models is entirely dependent of this hotspot of positive feedback - with the hotspot, climate models predict a scary global warming range that spans from 2°C to 6°C.
If there is no tropical upper troposphere hotspot, then there is no positive feedback, and thus, no climate change crisis as predicted by the IPCC. If there is no hotspot, then the IPCC hypothesis of CO2 caused global warming (AGW) is essentially proven false.
Based on accepted physics, without the positive feedback triggered by the hotspot, surface global temperatures from a doubling of pre-industrial CO2 will increase by some +0.5° to 1.5°C. That is the range climate models predict (depending on the given climate model) if the "hotspot" does not exist.
The IPCC's gold-standard for upper troposphere data is the UK's HadAT2 dataset that represents high altitude balloon/radiosonde measurements. These balloons provide a higher resolution of the atmospheric layer temperatures than current satellites can provide. Over time, approximately 28+ million radiosonde measurements have taken place.
A few days ago (2/19/2013), the HadAT2 was finally updated through December 31, 2012 - the previous update of dataset was through 12/31/2011. The above chart plots the latest AT2 dataset and concurrent, well-mixed atmospheric CO2 levels over the last 17 years. (Why 17?)
Conclusions from the chart:
#1.The IPCC's tropical "hotspot" does not exist.
#2. Atmospheric CO2 levels over 350ppm do not cause a hotspot to occur.
#3. The climate sensitivity to CO2 is lower than expert assumptions.
#4. Temporary natural El Nino events do cause a spike in upper troposphere temperatures but then return to a lower temperature state (no positive feedback loop).
#5. The IPCC, its experts and climate models have been wrong about the mythical hotspot since the UN created the IPCC (1988).
#6. The continuing abysmal failure of climate models is likely associated with the lack of the mythical, hypothesized hotspot.
#7. The AGW hypothesis of tipping point, climate positive feedback is proven false after decades of zero empirical evidence supporting it.
#8. Despite all empirical evidence, IPCC scientists and bureaucrats will keep pushing the hotspot, positive feedback hypothesis in order to continue their lucrative taxpayer funding.
Recently, a new 2012 study by Stephen Po-Chedley and Qiang Fu found:
"It is demonstrated that even with historical SSTs as a boundary
condition, most atmospheric models exhibit excessive tropical upper
tropospheric warming relative to the lower-middle troposphere as
compared with satellite-borne microwave sounding unit measurements. It
is also shown that the results from CMIP5 coupled atmosphere–ocean GCMs
are similar to findings from CMIP3 coupled GCMs. The apparent
model-observational difference for tropical upper tropospheric warming
represents an important problem..."
Previous studies have documented the tropical hotspot problem (source for all quotes here):
"Climate models and theoretical expectations have predicted that the
upper troposphere should be warming faster than the surface.
Surprisingly, direct temperature observations from radiosonde and
satellite data have often not shown this expected trend." Sherwood et al 2008.
"On multi-decadal timescales, tropospheric amplification of surface
warming is a robust feature of model simulations, but occurs in only one
observational dataset." Other observations show weak or even negative amplification.” Santer et al 2005
“A recent report of the U.S. Climate Change Science Program (CCSP) identified a ‘potentially serious inconsistency’ between modelled and observed trends in tropical lapse rates.” Santer et al 2008
“Model results and observed temperature
trends are in disagreement in most of the tropical troposphere, being
separated by more than twice the uncertainty of the model mean. In
layers near 5 km, the modelled trend is 100 to 300% higher than
observed, and, above 8 km, modelled and observed trends have opposite signs.” Douglass et al 2007
Update, per a reader's email: First, from the 2nd order draft of the IPCC's AR5, and second, from a comment at Judith Curry's 'Climate Etc.' blog:
"Section 220.127.116.11.2, p. 9-26, lines 31-33: "In Summary, there is a high confidence (robust evidence although only medium agreement) that most, though not all, CMIP3 and CMIP5 models overestimate the warming trend in the tropical troposphere during the satellite period 197902011. The cause of this bias remains elusive.""
"However my working hypothesis is that Santer would have continued to ignore these demonstrations, were it not for the Fu (2011, GRL) paper, which included Syukuro Manabe (godfather of CO2-climate modeling) as co-author also showing disagreement between models and measured temperatures...However, once the Fu 2011 paper came out, it became “establishment” that there was in fact a significant disagreement between models and measured temps. So now after the Fu 2011 paper we have (Thorne, 2011 [JGR], Po-Chedley (2012), Seidel (2012) and Santer (2012) all agreeing that models and measurements for tropical troposphere temperaures cannot be reconciled."
Note 1: A simple
hotspot explanation summarized from this article: Increasing CO2 levels causes atmosphere to warm;
then atmosphere causes Earth's surface to warm; warming of oceans cause
evaporation; increased evaporation leads to more water vapor in the
upper troposphere; water vapor is a powerful greenhouse gas that warms
the atmosphere even more (positive water vapor feedback); the Earth's surface warms
even more; and then auto 'repeat and rinse' until Earth's oceans boil, per an "expert."
Note 2: A scientist discusses the IPCC hotspot issue and dismantles a lame pro-hotspot argument (geesh, talk about alarmists' "scientific" mis-truths).
Note 3: The catastrophic global warming alarmists, be they "scientists" or political hacks, are very alarmed that the "hotspot" never materialized. To cover up this major failure of the AGW hypothesis, they usually attempt excited hand-waving to distract the gullible, including: the disingenuous, circular logic claim that it must exist because the models predict it, thus the measurements must be wrong; or the amazing claim that the hotspot exists but it just doesn't reveal itself to humans (really, trust us, it's hiding).
Billions upon billions have been poured into climate research and the infamous climate computer models - after those untold billions, the newest CMIP5 climate models are still unable to predict global temperatures with any accuracy
Computer models, in general, are essentially worthless as policy tools when the number of variables and complexity of the relationships are beyond easy human comprehension.
Complex, mind-boggling multivariate models more often than not produce a huge surplus of garbage output (see chart) that confuses both policymakers and the public, resulting in poor policy choices and failed implementation strategies and tactics.
Combine that typical outcome with the well known phenomenon of garbage in, garbage out (GIGO) that is inherent to all computer simultations and the likely result is a manifesto for a big fail.
Some recent public examples of computer complex simulation fiascoes include: computer models causing a 2-year delay in finding the black box from Air France Flight 474; the hysterical computer projections about potential bird flu deaths; the abysmal computer prediction regarding Obama's "stimulus" affect on unemployment; and, of course, the Federal Reserve's 2007 econometric model prediction that completely missed the soon-to-be 'Great Recession' - and don't forget the recent gargantuan fail of these type of "expert" computer models.
So it should come as no surprise that computer attempts at predicting outcomes for the incredibly complex, chaotic world's climate are bound to fail.
To that point, it has been recently observed that past climate model forecasts have been spectacular failures due to bad assumptions and a fanatical blind loyalty to a very weak (lame?) AGW hypothesis. And as the above chart indicates, the newest CMIP5 climate simulations appear to be not much better.
Thus, it is a safe bet that proposing trillion-dollar climate solutions based on the outputs of these new models will prove to be another common sense (no computer needed) predictable disaster. However, that will again be in hindsight for the political elites and mainstream journalists.
Simply stated, the Obama Administration and leading Democrats refuse to be honest with the American public - the empirical evidence and climate scientists now confirm that real global warming and climate change will be significantly less than predicted, making the politician lies even more troubling
As previously discussed, the consensus regarding future global warming and climate change has fallen apart.
Essentially, the climate research agencies programmed their computer models with an extremely high sensitivity to atmospheric CO2 levels. As a result, these computer climate simulations predicted outlandishly high future temperatures.
These alarmist, catastrophic temperature simulations were portrayed to the public by the mainstream media, the United Nations and Obama's big government advocates as gospel truth, when in fact they were nothing more than hypothetical speculations with no empirical foundation.
The above two charts provide further proof that computer model simulations were spectacularly wrong.
The IPCC chart on the left has a mauve curve that represents future temperatures if CO2 emissions were held constant at 2000 levels. This chart also has two red lines of actual observed HadCRUT global temperature trends (red lines) when projected out to 2100AD.
Clearly, observed temperature trends are predicting a future temp that resembles the IPCC projection if CO2 was held constant - the actual trends are multiple times below the "runaway" and "accelerating" global warming that Obama and the IPCC still push.
The second chart on the right plots the IPCC's different CO2 scenarios that the world may follow. A close examination of this chart reveals that actual CO2 emissions continue to follow the 'business as usual' scenario (A1F1), which the IPCC and Obama state is the cause of "runaway" global warming and climate change.
Since the "runaway" and "accelerating" scenarios have been ginormous scientific failures, as previously discussed, AGW scientists and alarmists/advocates are having to seriously re-think the basic assumptions of catastrophic global warming.
As is usually the case though, the now proven bad, anti-science is not stopping Obama and his Democrat comrades in their attempts to perpetrate a new tax Americans on carbon usage.
Via the IPCC's gold-standard temperature dataset, it has become undisputed fact that global warming isn't - experts and pundits alike are searching for the reasons why and how this gross prediction failure took place, with most concurring (even the NY Times) that climate models' sensitivity to a doubling of CO2 levels was severely exaggerated - go figure
Multiple outlets, including the NY Times, have recently written about new research that is finding climate models' programmed sensitivity to CO2 levels being pegged too high. Sample articles explaining the underlying problem with climate sensitivity research can be found here, here , here, here, and here.
The adjacent chart points to the serious problem with the original high sensitivity estimates from the IPCC and others. (The gold-standard HadCRUT global and CET temperature datasets are plotted.)
In the case of the IPCC, they published a flat-out fear-mongering sensitivity that in computer simulations would produce a temperature increase of +6.4°C (pink line) by 2100AD, if CO2 emissions were not stabilized. This incredibly high computer output was designed to scare policymakers and the mainstream media into action.
And, there are even higher published estimates of sensitivity, which will never happen in the real-world, but are touted as potential realistic threats (climate science gospel) to the gullible with deep pockets and a pennant for government intrusion. Case in point:
“...one of them stated quite openly in a meeting I attended a few years ago that he deliberately lied in these sort of elicitation exercises (i.e. exaggerating the probability of high sensitivity) in order to help motivate political action..." quote from climate modeler, AGW proponent James Annan
As a reminder, this description of a scientist's behavior comports with the incredible level of climate scientist fraud, deception and falsehoods revealed by the embarrassing publication of the Climategate emails. Venal, corrupt anti-science attitudes continue to run blatant and deep in the climate science community.
Back to the chart...in reality, CO2 emissions have not stabilized, they are growing in a 'business as usual' manner yet the impact on global temperatures has been minimal. As the chart depicts, over the last 15 years global warming is increasing at a 0.17°C per century rate, a sliver-fraction of the IPCC absurd sensitivity simulated outcome. Other straight red lines on the chart tell the same story - the IPCC's climate sensitivity produces temperature predictions out-of-touch with this real-world empirical observational evidence.
"But the point stands, that the IPCC’s sensitivity estimate cannot
readily be reconciled with forcing estimates and observational data. All
the recent literature that approaches the question from this angle
comes up with similar answers. By failing to meet this problem head-on,
the IPCC authors now find themselves in a bit of a pickle." quote from climate modeler, AGW proponent James Annan
The same story holds true for the chart's plot of Central England Temperatures (CET) (green curve and lines). Over the last 15-years, the CET century trend is a surprisingly minus 3.8°C. That is a significant cooling trend (in contrast, the last 15 years has the U.S. at a minus 0.94°C trend) that should not happen in a high sensitivity, tipping-point type of warming world.
#1. There is no scientific consensus about the correct climate sensitivity to CO2 levels.
#2. A scientific consensus is building though regarding the IPCC and other climate model agencies having exaggerated the sensitivity in the past, and a need to lower the models' said sensitivity to better match reality.
#3. Past real-world global warming (see jagged red chart curve) is not dangerous, nor accelerating - instead, it is presently flat with an equal possibility of becoming a cooling trend, or resuming its non-alarming warming trend
#4. CO2 levels would appear to have a weak influence on both global and regional temperatures.
The United Nations IPCC climate agency has a gold-standard dataset used since 2007 to make global climate predictions - the HadCRUT3 gold-standard confirms that the predicted dangerous global warming is non-existent, and unequivocally, that CO2 is not the world's thermostat
Taxpayer-funded climate scientists and ideologue politicians have continuously predicted that the globe will suffer from dangerous global warming; and they claimed that human CO2 emissions acted as the world's climate thermostat.
As the adjacent chart reveals, the IPCC's own temperature gold-standard (HadCRUT3) refutes the "experts" and "elites" hysterical, anti-science prognostications:
#1. The global temperature dataset clearly indicates that the world has exhibited a slight global cooling trend since the spike in temps from the super El Niño of 1997/98. That's 180 months (15 years) of non-dangerous global warming.
#2. The chart's thin black line is a plot of the monthly changes in CO2 levels. The correlation between monthly temperature and CO2 changes ranges from slim to none - this supposed thermostat relation of CO2 to temperatures has a ludicrously low R2 of 0.01. CO2 is not only not a "thermostat," it's likely not even a major climate forcing, per the actual data.
#3. While global temperatures have been slightly cooling, the global changes in monthly CO2 levels have been slightly increasing (note smooth grey curve - a 2nd order fit).
#4. Simply stated, this actual IPCC gold-standard empirical evidence robustly refutes all the anti-science predictions/claims of climate "experts" and alarmist "elites."
And, as we are currently witnessing, the green-sharia, anti-human fanatics are now having to do some serious crawling-back from their previous anti-CO2 agenda and bogus-science blinders to the climate reality.
Taxpayers have spent billions on CO2-driven climate model "science," which the empirical evidence now suggests was like pouring money down a rat-hole....the abysmal prediction failure of CO2-centric models is simply fact - are there actual scientific models that can replace this current wasteland of biased AGW climate research?
As major mainstreamnewsoutlets are starting to report, global warming has essentially disappeared, replaced with a slight cooling trend in recent years. Taxpayer-funded climate scientists are finally being forced to go on record stating the obvious - their global warming predictions were incorrect.
Their favorite euphemism to describe what is happening is that global warming is at a "standstill." Even the most infamous climate reality denier has started using that terminology to describe a decade of non-existent warming - he can't quite yet bring himself to say global cooling.
Three of the above charts (top-left, top-right and bottom-left) represent the state-of-the-art models used by the "consensus" climate experts. As seen, all three have been spectacularly wrong through the end of 2012.
These three models (World Climate Research Programme, NASA-GISS and the IPCC) are CO2-centric climate models - global warming and climate change are primarily driven by levels of atmospheric CO2. As a result, they have long predicted dangerous and accelerating global warming for Earth's atmosphere, oceans and land surfaces - and it bears repeating, they have been spectacularly wrong.
The majority of scientists now agree that these "consensus" science models are flawed (at least 97% of scientists would agree ;-) and are incapable of accurately predicting global temperatures. Thus, newer models based on non-CO2 drivers of climate are starting to see the light of day, so-to-speak.
One such newer model is represented by the bottom-right chart above. This model appears to have better global temperature prediction capabilities, which also happens to verify that CO2 is not the principal climate driver, as scientists on the taxpayer dole claim (and misrepresent).
The atmospheric humidity levels that NOAA researchers publish continue to trend lower than climate model predictions - however, the mythical runaway global warming that catastrophic global warming (CAGW) alarmists promulgate requires atmospheric humidity to increase
The IPCC, and its legion of green-sharia scientists on the taxpayer dole, have publicly stated that the climate sensitivity to atmospheric CO2 levels is high, with a predicted result of dangerous accelerated warming - the NOAA global temperature dataset proves that climate sensitivity is likely a fraction of IPCC's estimate
The UN's IPCC continues to claim that the climate is highly sensitive to CO2 levels. This high sensitivity, in combination with the mythical positive feedbacks, will thus supposedly increase global warming some 4 to 6 degrees centigrade by year 2100.
However, the actual temperature data do not support this speculative AGW hypothesis. If the climate was highly sensitive to CO2, then the adjacent plot of data would look substantially different.
Because of the huge increase over the 50 years ending 2012, the global temperature increase should be significantly larger than the previous 50-year period ending 1962. Clearly, levels of atmospheric CO2 are not as all powerful as the IPCC fear-mongering would have us believe.
In fact, despite an increase of CO2 levels that was 4 times larger than the previous 50-year period, the global temperatures ending 2012 increased less, suggesting that the climate sensitivity to CO2 ranges from lame to very weak.
This is not the only evidence that the IPCC's exaggerated claim of high sensitivity is scientifically suspect: see here, here, here and here.
The IPCC predicted that global warming would result from increased atmospheric CO2 levels - however, since the beginning of the 1997 Super El Nino, global cooling has been the result
(click on image to enlarge)
The RSS satellite global temperature measurements indicate that the 1997-98 Super El Niño started from the low of April 1997. From that point, and all the way through July 2012, the global atmosphere has cooled - a total of 184 months. This cooling trend took place during a significant increase of atmospheric CO2 levels.
This slight cooling trend is opposite of what the IPCC (and NASA's James Hansen) predicted for global temperatures.
The IPCC prediction of rapid global warming is based on the hypothesis that human CO2 emissions would increase atmospheric CO2 greenhouse gas levels; the increase of greenhouse gases would allow more radiated heat to be retained; the retained heat would warm the atmosphere; and, the atmosphere would then warm the world's oceans and land surfaces. Such predicted warming would set in motion a "runaway tipping point" that would produce catastrophic climate disasters and a doomsday for civilization.
Instead, as the adjacent chart indicates, the lower atmosphere since 1997 (per the RSS satellite measurements) has actually been exhibiting a cooling trend, versus the the obvious warming trend for the January 1980 to April 1997 period (red curve on chart).
Like the RSS dataset, the HadCRUT global temperatures also exhibit almost the same warming/cooling dichotomy. What is very apparent in both datasets is that the '97-98 Super El Niño shifted temperatures up to a new level, which then global temperatures resumed their normal variation around. Subsequent to this temperature range shift, growing CO2 emissions have not caused the long predicted "global warming."
#1. Satellite measurements reveal both a modest global warming and very slight global cooling period since 1980.
#2. Levels of atmospheric CO2 appear to have no consistent influence on global temperatures since 1980.
#3. Global warming is not "irrefutable," "unequivocal," "rapidly increasing," "accelerating," "incontrovertible," "indisputable," "unquestionable" nor "unprecedented." It's quite the opposite of all these qualifiers.
#4. Any IPCC scientist, climate researcher, academic, government bureaucrat, journalist and pundit who states and/or implies that any 'qualifier' in point #3 is the 'truth,' is, quite honestly, a serious liar. The empirical evidence is the scientific truth, not a person's blatant verbal misrepresentation.
#5. Politicians and celebrities who state and/or imply that any 'qualifier' in point #3 is the 'truth' is at best, stuck-on-stupid. Unfortunately, that seems to be the dominating characteristic of individuals involved in the political, sports and entertainment worlds. (Although, with politicians it may not be the case of being stupid, instead it may be more of a case of being criminally corrupt in order to enrich himself via "green" projects - think Solyndra.)
#6. As the satellite data show, the hot summer in the U.S. was not a result of global warming (as suggested by many covered by points #5 and #6) since global atmospheric temperatures during May, June and July were not extreme nor unusual.
Climate doomsday alarmists often fabricate extreme climate change scenarios that have no basis in reality - one such scenario is that global warming, from rising CO2 emissions, will make U.S. East Coast winter storms worse
Read here. The vast majority of climate disaster scenarios, which climate doomsday scientists and pundits predict, are never realized. The increasing intensity and frequency of severe storms is one such failed prediction.
The IPCC's political-agenda scientists, and most Hollywood celebrities concurred, that the supposed global warming from human CO2 emissions would produce more severe winter storms ('nor'easters') on the U.S. East Coast resulting in untold devastation and human misery.
Researchers decided to analyze the empirical evidence to determine if the Hollywood and IPCC "scientists" were correct. As this included chart reveals, over the last 55 years, there is no evidence that storm intensity increased despite the huge increase in CO2 Emissions.
"The authors write that "East Coast Winter Storms (ECWS), commonly known as nor'easters, are among the most severe weather phenomena to impact the Northeastern United States,"...defined an ECWS as an area of low pressure with a closed circulation, moving in a general south-southwest to north-northeast direction and containing winds greater than 10.3 m/sec during at least one 6-hour period,"... they calculated the speeds of all ECWS over the 55-year period 1951-2006...researchers report that "the speed of ECWS during their passage over or near the east coast of the United states varied substantially from storm to storm, month to month, and season to season." However,...over the entire time period of their study, Bernhardt and DeGaetano rightly declare "there was no clear trend in ECWS speed."" [Jase E. Bernhardt and Arthur T. DeGaetano 2012: Natural Hazards]
Conclusions: The long predicted extreme climate change from CO2 levels and global warming has not happened. There has not been an increase/decrease of East Coast severe winter storms that would indicate a noteworthy change in existing natural climate variation.
The IPCC's (and NASA's) CO2-centric climate models are completely unable to predict global temperatures with any degree of accuracy - scientists now confirm that increases in atmospheric CO2 actually follow increases in global temperatures, which is opposite of what climate models assume
Read here. It is common knowledge that global temperatures have not increased over the last 15 years despite massive new amounts of human CO2 emissions. And it is well known that the IPCC climate "experts" have been massively befuddled by this.
The current global climate models are dominated by the the greenhouse gas CO2 input. As the IPCC explains, their models can't accurately predict temperatures without knowing the atmospheric CO2 levels. Of course, recent experience clearly demonstrates the lack of models' temperature predictive skill even when the levels of CO2 are known.
It is now obvious that the climate models' assumption that CO2 levels dictate global warming/cooling is seriously amiss.
The European team of Humlum et al. has examined both the CO2 and temperature datasets and has determined that temperature changes actually occur before the corresponding CO2 level change. This is depicted in the adjacent chart of dataset plots.
"An important new paper published today in Global and Planetary Change finds that changes in CO2 follow rather than lead global air surface temperature and that "CO2 released from use of fossil fuels have little influence on the observed changes in the amount of atmospheric CO2" The paper finds the "overall global temperature change sequence of events appears to be from 1) the ocean surface to 2) the land surface to 3) the lower troposphere," in other words, the opposite of claims by global warming alarmists that CO2 in the atmosphere drives land and ocean temperatures." [Ole Humlum, Kjell Stordahl, Jan-Erik Solheim 2012: Global and Planetary Change] Scientist Ole Humlum's climate web site
Conclusions: The lack of predictive skill of the IPCC's climate models is likely due to their being dominated by atmospheric CO2 level inputs (CO2-centric). The actual empirical evidence indicates that changing CO2 levels are more a result of global temperature changes than changes in human CO2 emissions.
The overall global temperature change sequence of events appears to be from 1) the ocean surface to 2) the land surface to 3) the lower troposphere.
Changes in global atmospheric CO2 are lagging about 11–12 months behind changes in global sea surface temperature.
Changes in global atmospheric CO2 are lagging 9.5-10 months behind changes in global air surface temperature.
Changes in global atmospheric CO2 are lagging about 9 months behind changes in global lower troposphere temperature.
Changes in ocean temperatures appear to explain a substantial part of the observed changes in atmospheric CO2 since January 1980.
CO2 released from use of fossil fuels have little influence on the observed changes in the amount of atmospheric CO2, and changes in atmospheric CO2 are not tracking changes in human emissions.
IPCC climate doomsday advocates predict all sorts of calamitous, extreme climate change events from human CO2 emissions that seemingly fail to materialize - the lack of increased heavy precipitation events across the U.S. is another one of those failed predictions
Read here. Climate scientists again reviewed the empirical weather evidence to determine if there has been a surge of heavy precipitation events, as predicted by the IPCC and its climate models.
Per the IPCC and its climate doomsday acolytes, human CO2 emissions causes increased warming that causes greater water evaporation, which in turn will increase the frequency and volume of rainfall incidents. Obviously, the increase in heavy rainfall would then likely lead to an increase in flooding disaster incidents. The IPCC's climate models have been programmed to follow that assumption.
Yet when researchers actually check the climate model predictions against weather reality, the IPCC models are rarely correct. Mahajan et al. just determined that to be the case for the IPCC's heavy rainfall prediction.
"Noting that "extreme events of precipitation have a potential for impacting our social and economic activities,"...state that it is "essential to determine if there has been a systematic change in the extremes over the past years and what awaits us in the future owing to global warming," especially in light of the fact that "climate model projection studies suggest that intense precipitation would be on the rise as global temperatures increase due to increased greenhouse gas forcings in the future..."trends in monthly heavy precipitation, defined by a return period of one year, are assessed for statistical significance in observations and Global Climate Model (GCM) simulations over the contiguous United States...report that trends estimated from the two data sources they employed "straddle the margin of statistical significance, and hence a definitive answer to the question of increasing trend of heavy precipitation over the US cannot be arrived at by looking at observational data." And with nearly half (9 out of 20) of the GCMs employed in their study predicting trends that are "significantly different from the observations," they are forced to conclude that "the GCMs are not yet fully capable of simulating extremes of precipitation at a regional level,"" [Salil Mahajan, Gerald R. North, R. Saravanan, Marc G. Genton 2012: Climate Dynamics]
Conclusion: Human CO2 emissions, and the supposed global warming, are not causing an increase in heavy precipitation events across the U.S. as predicted. The IPCC's climate models again fail a crucial test when their output is compared to actual weather reality.
Read here. The vast majority of scientific research using actual climate evidence continues to disprove the doomsday predictions of the IPCC's climate modelers. The hypothesized catastrophic climate disasters that would be considered outside normal climate variation are just not happening.
The latest study confirming the failed predictions of the IPCC was completed by Tramblay et al. regarding extreme rainfall incidents in Morocco.
"Morocco is a North African country highly vulnerable to extreme precipitation events. In the present study, past trends in extreme precipitation and future projections using an ensemble of regional climate models (RCM) are evaluated." [Yves Tramblay, Wafae Badi, Fatima Driouech, Salaheddine El Adlouni, Luc Neppel, Eric Servat 2012: Global and Planetary Change]
"The authors write that "climate change is likely to produce more extreme precipitation events,"...they say that "for the Mediterranean basin, several studies indicate a possible amplification of precipitation extremes associated with a decrease of precipitation totals...which "could lead to an increased probability of occurrence of events inducing both floods and droughts"...employed data for ten measuring stations - Casablanca, Rabat, Larache and Tanger (Atlantic coast), Tetouan, Al Hoceima, Nador and Oujda (Mediterranean region), and Fes and Ifrane (Atlas mountainous area) - which they carefully analyzed for signs of the predicted precipitation-related phenomena..."Quoting the six scientists who performed the work, "the Mann-Kendall test indicates no significant trends in the data series for all the stations at the 5% significance level," and in like manner they report that "the Deviance test results between stationary generalized extreme value [GEV] models and non-stationary GEV models with time as covariate [also] indicate no evidence of trends in extreme precipitation for all the Moroccan stations.""
'C3' Editor Conclusions: The IPCC predicted extreme climate change as represented by severe precipitation events is not happening. This research out of Morocco seems to corroborate previous research done across the globe indicating a lack of discernible trend for severe precipitation events.
Good news, the global warming science facts and reality prevail - the scary, dangerous rising sea level predictions are essentially a myth
(click images to enlarge)
#1. The actual sea level rise has just been a fraction of the scary Hollywood movie disaster scenarios
#2. Climate doomsday scientists, such as James Hansen, Heidi Cullen and Stefan Rahmstorf, predicted mythically high ocean levels, not because of science reality, but instead to emulate what Hollywood was doing to attract greater public attention
#3. Per the advanced satellite technology and ocean science, the real empirical evidence points to a sea level increase by 2100 that will literally be chump change, not the envisioned Hollywood (or Hansen et al.) mega-disaster
Since late 1992, satellites have been monitoring ocean levels constantly. The chart on the left plots the actual sea level rise (using inches instead of millimeters) in contrast to the IPCC's predicted sea level rise by 2100 AD, and common predictions of doomsday experts. The dotted aqua line is where sea levels will be if the current trend continues until 2100.
When the current sea level trend (+0.12 inch/year) is put into the context of the mega-scary predicted levels, the hysterical concerns about coastal flooding disasters are rationally reduced, dramatically. But to keep those irrational concerns high, here's how government-funded scientists portray the same sea level increase since 1992.
The chart on the top right compares the IPCC and other alarmist predictions, from the end of 2006 to April 2012, the most recent satellite measurement available. The blue bar is the actual amount the sea levels have increased, versus what the IPCC predicted increase for sea levels by April 2012. IPCC predicted sea level. The chart's higher red bars show increases by April 2012 for the often made alarmist predictions that the mainstream press reports uncritically (as gospel).
[Note: Why 2006? The IPCC 2007 report based its sea level prediction on measurements prior to 2007. We used the December 2006 satellite measurement as the base month, then calculated the April 2012 sea level increase (actual and all predicted values) from that 2006 base month. We first converted all measurements to inches then calculated each month's average sea level from multiple monthly measurements - satellites measure ocean levels 2-4 times per month.]
Conclusions: The high technology of satellite measurements produces some very clear global warming science facts. Since 1992, rising sea levels are on a very modest upward trend. Since the IPCC report of 2007, actual sea level increases are significantly below all "expert" predictions. The empirical evidence clearly points to future sea level increases that are very moderate (less than 1 foot by 2100) and can easily be adapted to by every government.
The IPCC's climate doomsday scientists have been predicting that modern global warming would cause extreme climate change leading to an increase of severe weather events - new EU-Netherlands research proves the alarmists wrong
Read here. The Dutch are use to stormy weather and have a long history of recording such events. A researcher decided to investigate the records going back 101 years to determine if severe weather incidents had increased.
"In another blow to the alarmist fallacy that climate change is causing more extreme weather, a paper published today in the journal Climatic Change finds that windstorm damage in the Netherlands is presently the lowest over the entire 101 year period of study...The resulting windstorm loss time-series for the Netherlands contains some interesting features. Annual losses are stable over the whole period and have a dominant cycle with a period of about 50 years. The Netherlands is currently experiencing the minimum aggregate storm damage of the past 100 years, though only slightly lower than a quiet period of 50 years ago. Both of these minima are driven primarily by lowered rates of occurrence of damaging storms." [Stephen Cusack 2012: Climatic Change]
Conclusion: As this new peer reviewed study demonstrates, human CO2 emissions are not causing extreme climate change in the EU region of the Netherlands. Previous studies have also found severe weather incidents not increasing over the modern era, around the world.
Read here. New discoveries and new extraction techniques in recent years have made fools of those experts spewing the 'peak oil' mantra.
The actual evidence reveals how spectacularly wrong the consensus was:
"1. Contrary to what most people believe, oil is not in short supply and oil supply capacity is growing worldwide at such an unprecedented level that it might outpace consumption. From a purely physical point of view, there are huge volumes of conventional and unconventional oils still to be developed, with no “peak-oil” in sight.
2. The shale/tight oil boom in the United States is not a temporary bubble, but the most important revolution in the oil sector in decades.
3. In the aggregate, conventional oil production is also growing throughout the world...Huge parts of the world are still relatively unexplored for conventional oil
4. Over the next decades, the growing role of unconventional oils will make the Western hemisphere the new center of gravity of oil exploration and production."
A new study by climate doomsday scientists came to the conclusion that the penguins would become extinct because climate models predicted warmer temperatures and less ice in Antarctica - however, the actual empirical evidence finds climate models to be wrong
Read here and here. The IPCC's global and regional climate models are based on a high climate sensitivity to a doubling of CO2 levels. As a result, the models predict a warmer Antarctica with a loss of sea ice.
Using the IPCC models' output as input, another computer model thus predicted the extinction of Antarctica's penguins. Essentially, to be blunt, this is crappy science based on the familiar data processing concept known as 'GIGO'.
To the surprise of no one, with the exception of most lame stream science reporters, the GIGO penguin study has now been harpooned by actual empirical evidence and Antarctica climate reality.
"Twenty-year-old models which have suggested serious ice loss in the eastern Antarctic have been compared with reality for the first time - and found to be wrong, so much so that it now appears that no ice is being lost at all..."Previous ocean models ... have predicted temperatures and melt rates that are too high, suggesting a significant mass loss in this region that is actually not taking place,"...The team’s results show that water temperatures are far lower than computer models predicted ...
"According to a statement from the American Geophysical Union, announcing the new research: "It turns out that past studies, which were based on computer models without any direct data for comparison or guidance, overestimate the water temperatures and extent of melting beneath the Fimbul Ice Shelf. This has led to the misconception...that the ice shelf is losing mass at a faster rate than it is gaining mass, leading to an overall loss of mass."
Conclusions: Incredibly crappy penguin study based solely on GIGO computer simulations dies on the harpoon of actual empirical evidence. Antarctica and the surrounding seas are not appreciably warming from human CO2 emissions as predicted by the IPCC's climate models.
Read here. The United Nation's IPCC has been extremely open about their perversion of climate science and how the political agenda rules the roost (the UN's Rio conference being the next).
A key means to manipulate the world's policymakers and the public is to wildly exaggerate potential catastrophic disasters inferring a high likelihood. A favorite IPCC "disaster" is the rising seas caused by human CO2 emissions. A rise so high that will consume low-lying tropical islands and their cultures. But does that "looming" disaster have real merit?
Nope. Coastal tide gauges from around the world, documented in study after study, show that the current sea level rise is very modest and might reach a measly 3 to 7 inches by 2100.
But what about the vulnerable natives of Pacific island atolls? A recent peer reviewed article describes the situation of Tarawa of the Gilbert Islands.
"These common images of flooded homes and waves crashing across the causeways—collected during an anomalous event on islets susceptible to flooding due in part to local modifications to the environment—can provide the false impression that Tarawa is subject to constant flooding because of sea level rise...Many individual observations of erosion, flooding, or groundwater salinization, recorded in community consultations for internationally funded climate change adaptation programs, are thus attributed to climate change without scientific analysis...These events are presented as examples of climate change impacts in promotional materials and at international events...The failure to consider the contribution of natural variability and direct human modifications can lead to misattribution of flooding events or shoreline changes to sea level rise...Instead of incorrectly attributing individual flood events or shoreline changes to global sea level rise, scientists and climate communicators can use such occurrences to educate the public about the various natural and human processes that affect sea level, the shoreline, and the shape of islands."
Conclusion: The IPCC climate change reports include wild exaggerations about potential climate disasters. There is no empirical evidence supporting these looming disasters from human CO2 emissions. The United Nations promulgates these non-scientific claims as fact at UN-sponsored conferences in order to promote their wealth redistribution political agenda. A classic example of this misrepresentation is the fraud that Pacific islands will be swamped by an extraordinary sea level rise, exclusively from human CO2 emissions.
The IPCC predictions of severe weather events, such as droughts, floods, storms and etc. due to global warming has been a rather embarrassing failure - and another study confirms that extreme climate change is not happening as result of warming
Read here. The UN, the IPCC and a group of climate doomsday scientists continue to predict an increase of severe weather from modern warming (which has gone missing for the last 15 years), plus constantly claim that any recent drought or flood or storm or whatever is the result of CO2 emissions and associated warming.
Unfortunately for them, their actual proof is literally non-existent - they have no empirical evidence to stand on, other than anecdotal stories and/or singular, one-off events. Instead, they base their predictions and their foolish claims on computer simulations. Of course, what they always fail to mention is that the climate models were programmed by the climate model "scientists" to produce severe weather event predictions from...wait...take a guess...yes!, from global warming.
However, as a plethora of studies before it, the Buntgen et al. research again finds that severe precipitation weather events have not increased in number or intensity as modern global warming took place.
"The authors state that anthropogenically-induced climate change is projected by climate models to increase the frequency, severity and probability of extreme meteorological phenomena; and many climate alarmists claim that we have been experiencing this effect of global warming...the nine researchers analyzed 11,873 annually-resolved and absolutely-dated ring-width measurement series from living and historical fir trees that had been sampled across France, Switzerland, Germany and the Czech Republic, and which continuously spanned the AD 962-2007 period...discovered there was "a fairly uniform distribution of hydroclimatic extremes throughout the Medieval Climate Anomaly, Little Ice Age and Recent Global Warming,"...extreme hydroclimatic phenomena were found to not be amplified in either number or strength in response to global warming, which leads one to suspect that the same likely holds true for other portions of the planet, in contradiction of vociferous climate-alarmist claims to the contrary." [Ulf Büntgen, Rudolf Brázdil, Karl-Uwe Heussner, Jutta Hofmann, Raymond Kontic, Tomáš Kyncl, Christian Pfister, Kateřina Chromá, Willy Tegel 2011: Quaternary Science Reviews]
Conclusion: Extreme climate change, in the form of increased and more powerful severe weather events, is not occurring as a result of modern global warming. The actual empirical evidence as presented in peer reviewed studies does not support the catastrophic weather predictions of the IPCC and climate doomsday scientists.
The global warming science facts continue to robustly challenge the "consensus" global warming hypothesis - despite prodigious amounts of CO2 emissions, a global cooling trend exists
(click on image to enlarge)
Here is the typical plot of the impact of CO2 emissions on global temperatures. As a change in pace, a different depiction of "global warming" is adjacent.
The left side of this chart reveals the current 15-yr per century global temperature change trend (-0.12 degree), as of April 2012 - the blue bar near the bottom. The grey bar represents the massive amount of human CO2 emissions released into the atmosphere over the last 15 calendar years.
In contrast, for the previous 15 years ending April 1997, the red bar represents the per century temperature change trend (+1.08 degree) and partially hidden grey bar the total human CO2 emissions released during the calendar year span of 1982 - 1996.
The data portrayed in this chart, when combined, represents the last 30 years (360 consecutive months, starting May 1982 and ending April 2012) of human CO2 emissions and global temperature change.
Conclusions: The global warming science facts do not support the IPCC's catastrophic AGW hypothesis that is continuously promulgated by bureaucrats and paid-off scientists. A global cooling trend has developed despite the IPCC's climate model predictions and the immense human CO2 emissions over the last 15 years (a 1.7 times increase over the 15-yr period ending in 1996) . Catastrophic, dangerous, unequivocal, accelerating and unprecedented global warming are non-existent as of April 2012. In summary, the data strongly and irrefutably suggest that human CO2 emissions are not a powerful greenhouse gas and that, instead, natural climate forces are the likely primary drivers of global temperature changes.
The IPCC, and its grumpy band of Climategate alarmist scientists, predicted extreme climate change from human caused global warming - specifically, they predicted more frequent and more severe hurricane landfalls - they were wrong
Read here. The adjacent chart reveals the number of days between landfalls of a major hurricane striking the U.S. Since the last Category 3, 4 or 5 hurricane strike, it's been 2,412 days and counting.
Since 1900, that is the longest span ever between major landfalls. And this significant climate science factoid is contrary to the IPCC "experts" whose consensus prediction categorically claimed that these large devastating storms would be more intense and more frequent, due to the increasing human CO2 emissions and global warming.
As is obvious to even the most fanatical believer in the CAGW religion, the scientific, empirical evidence readily documents that the CO2-alarmist "experts" have been spectacularly wrong.
With that said, the U.S. is long overdue for a major severe hurricane strike and it could well happen in 2012. Then again, it might not. Either way, the IPCC has proven to be incapable of any scientific predictive skill.
The EPA, the IPCC and the USGCRP bureaucrats have erroneously predicted, per their global climate models, that southwest U.S. would become drier with more droughts - the latest research finds that these predictions are result of climate modeling failure
Read here. Climate alarmist scientists and multi-agency bureaucrats continue to produce erroneous assessments and misguided advice for policymakers based on global climate models. Computer models, and especially the global climate variety, have been a fountain of bogus predictions for years.
In a new study, experts documented another case of failed of global computer simulations that confirms why these hugely expensive 'big picture' models are pretty much worthless. Counter to the EPA and IPCC's predictions, the southwest USA is actually less likely to suffer from droughts, water shortages, forest fires, agriculture crop failure or insect infestations based on new research.
Why were the tax-payer sucking, big government agencies, soooo wrong? The global climate modelers forgot to tell the bureaucrats that the models did not include the impact of mountains on the climate and the bureaucrats were too stupid and/or lazy to ask - doh!
"A research team...[Gao et al.]...investigated that the differences between how large-scale global climate models and finer-scale regional climate models handled the characteristics of moisture flow in the atmosphere over the southwestern U.S...The regional climate models (RCMs) include much finer scale processes than are included in the global climate models (GCMs). In the Southwest, this includes a finer representation of the complex, mountainous terrain which plays a key role in the regional precipitation processes...compared how the RCMs handled the processes that lead to precipitation across the Southwest compared to how the processes were simulated in GCMs. They generally found that the better representation of the terrain by the RCMs allowed them to generate more future rainfall...result from Gao et al. showing that RCMs generated more future precipitation than GCMs in the Southwestern U.S...RCMs allowed them to better simulate the snow accumulation and ablation at high elevations and consequently “runoff in the Colorado River Basin is less susceptible to a warming climate in RCMs than in GCMs.”" [Yanhong Gao, L. Ruby Leung, Eric P. Salathé Jr., Francina Dominguez, Bart Nijssen, Dennis P. Lettenmaier 2012: Geophysical Research Letters]
Conclusion: Global climate modeling failure is the rule rather than the exception in regards to the computer simulations that EPA & IPCC bureaucrats and policymakers rely on. New research regarding a regional climate in the U.S. substantiates the failed predictive capability of global climate models. As a result, these global climate models guarantee massive amounts of government investments being wasted on erroneous climate change impacts, such as more droughts in the southwest U.S..
Read here. The predicted "accelerating" sea level rise has been a fearmongering staple of the IPCC's global warming alarmists and the mainstream press for decades. For pure hysteria sake, nothing beats the image of flooding populous coastal areas with the intent to frighten the public.
Unfortunately for the alarmists, the empirical evidence does not support their grossly speculative predictions from discredited climate models.
Firstly, the "accelerating" global sea level rise has not taken place as multiple research studies have documented.
Secondly, the alarmist creed that the melting of Greenland's glaciers would cause devastating ocean rises has been completely debunked by a new peer reviewed study on some 200+ glaciers on the world's largest island.
"...titled “21st Century Evolution of Greenland Outlet Glacier Velocities” [Moon et al.] examined the flow characteristics from nearly 200 glaciers across Greenland for the period 2000-2010 as analyzed using synthetic aperture radar data collected from various satellites...And what they found...was that the patterns of flow rate changes across Greenland were complex, both in space and time. Glaciers that were accelerating during a few years were found to be decelerating in others. Some accelerating glaciers were found in close proximity to other glaciers that were decelerating..."Finally, our observations have implications for recent work on sea level rise...Our wide sampling of actual 2000 to 2010 changes shows that glacier acceleration across the ice sheet remains far below these estimates, suggesting that sea level rise associated with Greenland glacier dynamics remains well below the low-end scenario (9.3 cm [3.7 inches] by 2100) at present...Our result is consistent with findings from recent numerical flow models."" [Twila Moon, Ian Joughin, Ben Smith, Ian Howat 2012: Science]
Conclusion: Accelerating global sea level rise from melting glaciers is not happening as predicted. The retreat of Greenland's glaciers is not a major contributor to sea level increases and there exists no empirical evidence that this will change by year 2100.
An expert tide gauge station analysis out of New Zeland confirms the obvious - current global sea level rise is barely noticable, which is complete contradiction of IPCC predictions over past 2 decades
Read here. New empirical evidence from New Zealand scientists document the lack of "accelerating" global sea level levels. The island nation in the southern Pacific has not been swamped by the rising seas and the confirmed trend indicates only a 7 inch rise by 2100.
The New Zealand documented trend is similar to those established by other research done by sea level experts.
"With respect to the South Pacific Ocean, the authors indicate that there are few reliable tide gauge records with data predating 1950...In an attempt to improve this data-sparse situation, Hannah and Bell say that "an investigation was undertaken to determine whether historical data from other tide gauge sites could provide additional spatial coverage of relative sea level trends around New Zealand."...the two New Zealand scientists report that "the average relative sea level rise calculated from the six newly derived trends was 1.7 ± 0.1 mm/year," a result that they say "is completely consistent with the far more rigorous and conventional analyses previously undertaken for the four main ports using long-term tide gauge records." And they write that "in a global context, this average trend in relative sea level rise is also consistent with the results of Church and White (2011), who find a global average linear trend in secular sea level rise of 1.7 ± 0.2 mm/year from 1900-2009."" [Jonh Hannah, Robert Bell 2012: Journal of Geophysical Research, Oceans]
Conclusion: Tide gauge station analysis confirms global sea level rise is modest and not dangerously accelerating as long predicted by the IPCC's climate models and its "experts."
It's another connect the dots moment - climate model failure is standard operating procedure for NASA's James Hansen as empirical evidence confirms his abysmal failure at global warming predictions
(click on images to enlarge)
This first chart establishes that the actual growth of CO2 emissions has not only continued as 'business as usual' since 1988, it in fact has exceeded the BAU growth rate handsomely during recent years.
This second chart plots the actual observed annual temperatures (NASA/GISS & HadCRUT) versus the climate model predictions of global warming made by James Hansen of NASA. Even to the casual observer, the abysmal failure of climate model predictions is staggering.
The green curve is the 'business as usual' NASA global warming prediction if 1988 levels of CO2 emission growth continued (Scenario 'A'). The green dots represent actual NASA annual global temperatures. The red dot is what Hansen predicted for 2011 temperatures - the gap between the green and red 2011 dots represent the huge prediction error.
The aqua curve represents Hansen's Scenario 'C' for global temperatures if the world had completely restricted CO2 emission growth by year 2000 - that never happened as CO2 growth went beyond BAU growth since 1988.
This third chart is a plot of the HadCRUT global temperatures over the last 15 years through March 2012. The HadCRUT dataset is the IPCC's 'gold standard.' Clearly, global temperatures over the last 180 months have not warmed as predicted by NASA's climate model (nor as predicted by any other "consensus" climate model). Huge global warming prediction errors will continue as long as computer models that are primarily based on levels of CO2 emissions are utilized.
Conclusion: Connect the dots climate model failure is not a 'roll of the dice' - it is a known, glaring global warming prediction bias that is significantly robust. Since this is a 'known known,' as a precautionary principle decision, James Hansen et al. should be retired from NASA's climate modeling research unit. Why?
When known failed climate scientist(s) begets known bad climate science that then leads to known bad economic and energy policies, then a humane precautionary principle is required to remove the failed scientist(s) prior to a tipping point of economic damage to society being reached. Or, in other words, fire the hysterical idiot - he's responsible for an incredible misallocation of science research resources since the 80's, and more recently, the incredibly crippling regulation/energy policies of the Obama administration.
Since Bill McKibben urges everyone to connect-the-dots, share the link to this 'C3' article with all your Facebook, Twitter, email and LinkedIn friends and contacts.
Runaway greenhouse effect facts (or lack thereof) - while James Lovelock recently admits to hyping global warming alarmism, James Hansen still does crazy fearmongering - on video he predicts boiling oceans
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Look closely at the above - this is what "boiling" oceans look like after some 1.3 trillion tons of CO2 emissions poured into the atmosphere since 1850. As this tropical island paradise indicates, the long held belief of CO2 caused global warming is not supported by the tropic's data in the least, let alone supporting NASA's Hansen's recent crazy prediction of boiling oceans.
At the 2:12 minute mark of this recent video, Hansen does his crazy "boiling ocean" hype - it's a total disregard of facts and plausibility. Despite this craziness, there are scads of American coastal elites and lazy (stupid? gullible?) mainstream media types that buy into Hansen's ludicrous, catastrophic warming "science" predictions.
Still think there are runaway greenhouse effect facts that would lend credence to boiling oceans? Think again - expert tropical sea temperature measurements are conclusive - it ain't happening.
The Cook Island sea surface temperature data are another factual reality check - the tipping point of runaway global warming is not taking place and, without question, should be heavily ridiculed by all the legitimate science community and an objective press as the bogus scare hype it represents.
Runaway greenhouse effect facts: "Tipping point" global warming is not supported by the evidence; it's not even remotely plausible per the empirical data from the tropics; the world is not going to end from human-caused boiling oceans; and, NASA's James Hansen is possibly crazy, with fame, fortune and the drooling love of the MSM press lapdogs.
Note: Black dots in both charts above represent monthly CO2 levels. Sea surface temperatures plotted represent the longest continuous monthly measurements (without any monthly gaps) for both island locations.
Read here. Will the world's populace suffer from increasingly weird ear problems, more infections and aches due to global warming and climate change? How about more respiratory allergies or non-respiratory seizures?
Ask the IPCC "scientists" and the answer would be 'yes.' Why? Because their computer models told them so, thank you very much....Hmmm...remember how accurate the computer models were at predicting the predicting the swine flu apocalypse a few years back?
Fortunately for the world, the computer models used by the IPCC are again wrong. The impact of climate change on health has been nil and appears not to be highly correlated with most infections and diseases.
"The three US authors [Miller et al.] - who hail, respectively, from the David Geffen School of Medicine at the University of California at Los Angeles, Harvard Medical School, and Brigham and Women's Hospital in Boston -- say "there is concern that climate change may affect hay fever and other allergic conditions by impacting pollen amount, pollen allergenicity, pollen season, and plant and pollen distribution," because "allergy and atopic disease rates are rising, and global warming has been implicated as a possible cause."...annual prevalence data for frequent otitis media (defined as three or more ear infections per year), respiratory allergy, and non-respiratory seizures in children were extracted from the US National Health Interview Survey for 1998 to 2006, while average annual temperatures for the same period were obtained from the US Environmental Protection Agency...report that regression analysis found that (1) "annual temperature did not influence the prevalence of frequent otitis media," (2) "annual temperature did not influence prevalence of respiratory allergy," and (3) "annual temperature and sex did not influence seizure prevalence." [Mia E. Miller, Nina L. Shapiro, Neil Bhattacharyya 2012: American Journal of Otolaryngology - Head and Neck Medicine and Surgery]
Conclusion: The impact of climate change on health appears to be of little significance, according to health research experts, and, of course, contrary to the UN's highly publicized hysteria published by it climate politics agency, the IPCC.
The latest agriculture research on climate change effects clearly prove that IPCC climate model predictions of looming crop failures are bogus - wheat study result opposite of IPCC fabricated myth
Read here. Without doing any original empirical agriculture research, the IPCC "scientists" programmed their computers to predict that agriculture crop output would decline with increasing levels of CO2 and global warming. Their reasoning behind this prediction was that increased warming would cause evaporation of soil moisture thus producing looming crop failures. The IPCC computer models were wrong, again.
Chinese scientists (Xiao et al.) studying climate change effects on crops performed original agricultural research on winter wheat that grows in two different semi-arid regions. Their results debunked the agriculture myths promulgated by the IPCC.
"...grew wheat in China at several different relatively high elevation sites (1,798 m at Tongwei and 2,351 m at LuLu Mountain), and the artificially increased the temperature up to 2.2ºC. At the Tonwei site, the elevated temperatures increased grain output by over 3% and by up to 6% at LuLu Mountain. Not surprisingly, they write “These findings indicate that an increase in temperature will improve the winter wheat yield at two different altitudes.”...“The results of this study revealed that a 0.6–2.2°C increase in temperature improved the water use efficiency (WUE) of winter wheat plants at both elevations evaluated.”...“It is expected that by 2030 warming temperatures and changes in rainfall will have led to the increase of 3.1% in wheat yields at a low altitudes and of 4.0% in wheat yields at high altitude in semiarid northwestern China, and that by 2050, there will have been the additional increase of 2.6% and 6.0%, respectively, at these altitudes”" [Guoju Xiaoa, Qiang Zhangb, Yu Lib, Runyuan Wangb, Yubi Yaob, Hong Zhaob, Huzhi Baib 2010: Agricultural Water Management]
Conclusions: Climate change effects of increasing levels of CO2 and global warming will enhance agriculture output for many crops, such as winter wheat. In addition, IPCC climate modeling, 'guesstimating,' for global warming impacts has little basis in actual science.
Read here. The evidence continues to pour in discrediting the IPCC's fabricated disaster claims of catastrophic sea level rises. Researchers from the around the world have documented that the predicted "accelerating" and "dangerous" sea level increases are not happening.
The latest research by Albrecht et al. focuses on sea levels near the Jutland peninsula (the German Bight). These EU researchers were unable to discern the "unprecedented" sea level increases from the actual empirical evidence, which is evidence that the mainstream media and the IPCC alarmists conveniently ignore.
"Focusing on regional mean sea level (RMSL) changes in the North Sea and, more precisely, in the German Bight, Albrecht et al. developed an index time series for the RMSL employing two different approaches...basing their work on homogenized annual mean sea level data covering the period 1843-2008 that were acquired by 15 tide gauges...suggesting that "regional mean sea level increased at rates between 1.64 and 1.74 mm/year with a 90% confidence range of 0.28 mm/year in each case." As for whether or not there was an acceleration in RMSL rise within the past few decades, they note that in terms of 20-year trends, the most recent rates are "relatively high." However, they report that these rates "are not unusual and that similar rates could also be identified earlier in the record."...they go on to note that "the same conclusion concerning a possible acceleration in the recent past was drawn by Haigh et al. (2009) for the North Sea region of the English Channel.""[Frauke Albrecht, Thomas Wahl, Jürgen Jensen, Ralf Weisse 2011: Ocean Dynamics]
Conclusion: EU scientists prove, using tide gauge station data, that the long predicted catastrophic sea level rise has not happened despite the global warming that has taken place since the Little Ice Age end.
Researchers analyzing data for extreme climate change risk continue to discover evidence that the predicted results are not happening - lack of extreme rainfall in the Himalayas is most recent example
Read here. The "scientists" associated with the UN's IPCC had predicted severe weather events would increase both in frequency and intensity due to global warming. Unique areas of the world, such as the Himalayas, were considered to be especially vulnerable to these events.
To assess the extreme climate change risk that the Himalayas faced, researchers set out to document the severe rainfall events that were long predicted.
"Nandargi and Dhar decided to present "a brief review of the available information and data for extreme rainfall events that were experienced in different sectors of the Himalayas during the last 137 years" in an attempt to determine "the impact of climate change on the extreme one-day rainfall of the Himalayan region, in the context of rising temperatures."...Working with data obtained from 475 measurement stations...said that there is an increase in the frequencies of extreme rainfall events from the 1951-1960 decade onwards," but only until "there was a sudden decrease in the frequency of extreme rainfall events in all the four categories in the recent period of 2001-2007...concluding words of the two scientists, "it is somewhat baffling as to whether climate change has any impact on extreme rainfall events in the entire Himalayan region..." [S. Nandargia, O. N. Dhara 2011: Hydrological Sciences Journal]
Conclusion: The extreme climate change risk promulgated by the big global insurance companies and their scientific minions has proven to be without merit when the actual empirical evidence is closely scrutinized.
Climate modeling failure remains a major embarrassment for the UN's IPPC's "climate science" efforts - this time their models failed at predicting the 'Siberian Highs' that dominate Northern Hemisphere weather
Read here. The 'Siberian High' (SH) is a major winter condition that drives much of the weather conditions throughout the Northern Hemisphere. It is a natural high pressure atmospheric climate phenomenon that varies from year to year, located principally across the Eurasian land mass.
The IPCC's climate modeling systems predicted that global warming would cause a significant reduction in the intensity of the SH. However, new peer reviewed research proves that the climate models were wrong - over the last two decades the SH intensity increased.
"In a study designed to determine to what degree the temporal SH intensity simulations of these models mimic reality, Jeong et al. employed two observational gridded sea level pressure (SLP) data sets...the seven scientists revealed "a pronounced declining trend of the SH intensity from the late 1960s to the early 1990s," which would appear to mesh well with GCM simulations presented in the IPCC AR4...However, they report that in the real world, the declining SH intensity trend "was sharply replaced by a fast recovery over the last two decades." And they thus make a strong point of noting that "this feature has not been successfully captured by the GCM simulations..."an improvement in predicting the future climate change in regional scale is desirable."" [Jee-Hoon Jeong, Tinghai Ou, Hans W. Linderholm, Baek-Min Kim, Seong-Joong Kim, Jong-Seong Kug, Deliang Chen 2011: Journal of Geophysical Research]
Conclusion: Climate modeling failure is the standard operating procedure for the immensely expensive virtual simulations that the IPCC and associated climate agencies have poured billions into. They remain unable to provide accurate predictions that policymakers can rely on.
Climate modeling failure by the IPCC's past climate models is huge and well documented - the newest climate models are no better
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Read here. Expert analyst Bob Tisdale performs a close scrutiny of the new IPCC climate models and discovers they still do an abysmal job at predicting the past ('hindcast' of) global temperatures.
Despite billions of dollars of climate modeling expenditures and millions of person-hours of software efforts by model programmers since 2007, the latest and greatest computer simulations still cannot accurately portray the known past.
Adding misery to an already abysmal failure, the newest models' predictive outputs are barely different than the older models. Just as a reminder of the worthlessness of IPCC computer simulations, there is not a single past climate model that predicted this massive change in climate.
Conclusion: Climate modeling failure will always be significant and will never provide accurate climate predictions until they are finally cleansed of the CO2-biased parameters imposed/dictated by the UN's own IPCC's political-agenda.
For years the public wondered "Is global warming happening?" as the IPCC climate models predicted - instead the HadCRUT temperature dataset clearly shows global temps cooling off
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The adjacent chart documents the facts on the ground, so-to-speak, and easily answers the question: Is global warming happening?
The simple answer from the empirical observations is 'No.'
The IPCC climate models, using the business-as-usual CO2 emissions scenario A1F1 predicted a best estimate of global temperature increase of +4.0 degrees by year 2100. That prediction was based on year 2000 being the starting point.
Thus, per the IPCC model(s), by February 2012 the global temperatures should have already increased to 14.75 degrees C (pink dotted line) based on a 12-month moving average. Instead, since 2000, the HadCRUT global temperature has only slightly increased (red dotted line).
Below is a synopsis of linear trends of the model prediction and actual observations:
IPCC predicted: +4.0°C increase by year 2100
Since 1/1/1990 actual: +1.3°C increase by year 2100
Since 1/1/2000 actual: +0.4°C increase by year 2100
Since 1/1/2002 actual: -0.7°C decrease by year 2100
Despite human CO2 emissions continuing to grow in a 'business-as-usual' manner (grey curve, black dots), global warming has stopped and is currently declining, as the blue columns of the chart indicate. The blue fitted trend curve reveals the current direction of global temperatures - 'global cooling' would be the more accurate description for the last 10 years.
Conclusion: Is global warming happening?
Global warming has monotonously creeped to a point of global cooling since the 1998 peak temperatures. CO2 levels appear to have little, if any, direct impact on direction or magnitude of changes in global temperatures.
Why has global warming turned to cooling or, as some prefer, "stalled"? For the confusion that reigns over that issue read here.
[Note: To calculate rolling 12-month average of HadCRUT absolute temperatures, 'C3' used the HadCRUT global monthly anomalies plus the monthly absolutes found here. 'By year 2100' increases/decrease calculated using the 12-mth moving average absolutes. Although the A1F1 scenario starts in year 2000, the above Excel chart includes data back to 1990 to provide a visual context. Additional info on emission scenarios.]
The IPCC scientists and global warming alarmists predicted that increasing CO2 emissions would lead to a catastrophic permafrost tipping point, unleashing gigatons of methane gas - they were wrong
Read here. The Fakegate global warming alarmists and the IPCC's Climategate scientists are enraptured with the doom and gloom of climate change "tipping points." A favorite tipping point is that greater levels of CO2 emissions would cause a global warming that thaws the permafrost in northern latitude regions (tundra regions), such as Siberia, thus releasing gigatons of the powerful greenhouse gas methane into the atmosphere.
This is referred to as the global warming permafrost tipping point that results in runaway temperature increases. A new peer reviewed study finds that is not happening.
"Focusing on the massive seasonally-frozen ground region of Eurasia, Frauenfeld and Zhang employed a database of soil temperature profiles obtained at 423 stations to estimate the maximum annual soil freezing depth at 387 sites, which they did for the period 1930-2000, with an extension to 2008...Except for warming during the 1970s and 80s, northern Eurasian temperatures appear to have remained fairly stable. And of that warming, Frauenfeld and Zhang state that "the strong decrease in seasonal freeze depths during the 1970s to 1990s was likely the result of strong atmospheric forcing from the North Atlantic Oscillation during that time period." Thus, their work provides little to no evidence for any significant warming of this massive portion of earth's land mass over the past two decades, and absolutely no evidence for recent CO2-induced warming." [Oliver W Frauenfeld, Tingjun Zhang 2011: Environmental Research Letters]
Conclusion: The permafrost tipping point does not endanger the world since the thawing of northern global regions has stabilized since the 1990's, despite the huge increase in CO2 emissions.
AGW alarmist climate scientists predicted that increasing human CO2 emissions would cause an increase in water vapor with the result being a global warming tipping point - empirical evidence completely discredits that prediction
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Read here. Very simply, for the IPCC's climate models predicted runway global warming to happen, there has to be a positive feedback from atmospheric CO2 that pushes the climate to a "tipping point." The positive feedback in the IPCC's computer models is an ever increasing atmospheric water vapor level (greenhouse gas) due to rising temperatures from CO2.
In the real world though, that positive feedback has not happened, as the adjacent chart of relative humidity (atmospheric water vapor) and global temperatures shows. And now, a new peer reviewed study in the prestigious Journal of Climate is confirming that the global warming tipping point hypothesis is without any empirical merit.
"A paper published today in the Journal of Climate finds that relative humidity has been decreasing 0.5% per decade across North America during the 62 year period of observations from 1948-2010. Computer models of AGW show positive feedback from water vapor by incorrectly assuming that relative humidity remains constant with warming while specific humidity increases....."Over 1/4 billion hourly values of temperature and relative humidity observed at 309 stations located across North America during 1948-2010 were studied...The averages of these seasonal trends are 0.20 C/decade and 0.07 hPa/decade which correspond to a specific humidity increase of 0.04 g/kg per decade and a relative humidity reduction of 0.5%/decade."" [V. Isaac and W. A. van Wijngaarden 2012: Journal of Climate]
Conclusion: The IPCC alarmist global warming tipping point does not exist over the long term - instead, over periods less than a decade, the climate will likely return to an equilibrium position due to built-in negative feedbacks.
The catastrophic prediction that the world's major glaciers, including those of the Himalayas, were melting to nothingness turns out to be spectacularly wrong - global warming scientists & MSM press literally stunned by real world facts
Read here and here. During a week where honest scientists and the gullible mainstream press were again whacked in the head by the infamous 2x4 of global warming alarmist corruption, new research based on empirical evidence continues to reveal that the IPCC's alarmist predictions are bogus, if not terminally corrupt.
New satellite evidence shows that the Himalayan glaciers have lost zero ice for the last 10 years, which is the exact opposite of what the IPCC, Greenpeace, the World Wildlife Federation and U.S. climate scientists have predicted, and claimed to actually be happening.
As one of the world's major 'Big Green' propaganda alarmist tools, the UK's Guardian had to be stunned itself to write this about the Himalayan glaciers and the related 'stunned' climate scientists.
"The Himalayas and nearby peaks have lost no ice in past 10 years, study shows"..."The world's greatest snow-capped peaks, which run in a chain from the Himalayas...have lost no ice over the last decade, new research shows...The discovery has stunned scientists, who had believed that around 50bn tonnes of meltwater were being shed each year and not being replaced by new snowfall."
As the sordid fakery and fabrications of a major global warming alarmist scientist, Peter Gleick, continues to embarrassingly unravel, the mainstream press also has to cope with real world climate facts - the world is not dangerously warming and causing all the exaggerated global warming catastrophes they previously reported (predicted).
The runaway global warming scenarios of the IPCC climate models are based exclusively on a hypothesized positive climate feedback - satellite data reveal a powerful negative cloud feedback instead
Read here. The IPCC claims of a positive feedback mechanism that would cause runaway global warming, and a climate change tipping point, have never been validated as being climate science reality. Yet the IPCC's climate models all employ this phantom positive feedback, resulting in their infamous predictions of catastrophic climate events.
Unfortunately for the IPCC, its "consensus" climate models are all wrong regarding positive feedbacks. Instead, the latest satellite empirical evidence points to a significant negative cloud feedback that is the likely cause of the lack of global warming over the last 15 years.
"A new paper just published in Geophysical Research Letters by Roger Davies and Mathew Molloy of the University of Auckland finds that over the past decade the global average effective cloud height has declined and that “If sustained, such a decrease would indicate a significant measure of negative cloud feedback to global warming.”...The average global cloud height is linked to the average global temperature—generally, the higher the average cloud height, the higher the average surface temperature, and vice versa...A point well-recognized by Davies and Molloy when they write “Changes in cloud properties in response to rising surface temperatures represent some of the strongest, yet least understood, feedback processes in the climate system.“..."If sustained, such a decrease would indicate a significant measure of negative cloud feedback to global warming, as lower cloud heights reduce the effective altitude of emission of radiation to space with a corresponding cooling effect on equilibrium surface temperature."...According to the calculations of Davies and Molloy, the negative climate forcing from a decrease in the average global cloud amount during the past 10 years has more than offset the positive forcing from an increase in greenhouse gases from human activities." [Roger Davies, Mathew Molloy 2012: Geophysical Research Letters]
The professional green CAGW alarmists predicted that global warming would bring climate change to Sierra Mtns. in the form of decreased snowfall levels - empirical evidence proves prediction to be without merit
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Read here. Another 'Big Green' climate change prediction. Another climate change prediction fail.
As the adjacent chart shows, the snowfall trend for the California Sierra region has not been impacted by human CO2 emissions or the modern global warming since the late 1800's.
"The analysis of snowfall data from as far back as 1878 found no long-term trend in how much snow falls in the state, especially in the critical western slope of the Sierra Nevada mountains...There isn’t a trend significantly different from zero for the whole period,...just the past 50 years and there is no trend over this recent stretch either."..."Monthly snowfall totals from over 500 stations in California, some of which date back to 1878, are examined. Most data were accessed through the NOAA archive...For those regions characterized by consistent monitoring and with the most robust statistical reproducibility, we find no statistically significant trends in their periods-of-record (up to 133 years) nor in the most recent 50 years. This result encompasses the main snowfall region of the western slope of the Sierra Nevada Mountains." [John R. Christy 2012: Journal of Hydrometeorology]