Extreme global cooling and global warming are natural phenomenon, which have occurred with regularity - multiple studies have confirmed these extreme climate change events, including a new Iceland study
Read here. Research out of Hvítárvatn, Iceland confirms that over the past 8,000 years, there have been five extreme, natural climate phases: the Roman warming, the Dark Ages cooling, the Medieval warming, the Little Ice Age and the current warming.
The analyzed evidence indicates that the Little Ice Age (LIA) was the coldest period over the last 8,000 years. Since the LIA was the coldest, it would not be unusual for the natural climate rebound to exhibit significant warming, which the Modern Warming period has.
"...the Holocene has experienced alternating multi-century periods of relative cold and warmth, the most recent and repeatable of which sequences is composed of the pre-DACP period (which is typically referred to as the Roman Warm Period), which was followed by the DACP, which was followed by the MWP, which was followed by the LIA, which was followed by the Current Warm Period or CWP...the LIA was the coldest period of the last 8 thousand years, which suggests that starting from such an unprecedented low temperature, it is only natural that the warming that produced the CWP should have been one of the most significant warmings of the current interglacial...it would have been an aberration of natural history if the warming of the past century or so had not occurred as it has..."
The meme that global warming is producing extreme climate change and more severe weather events just does not hold up when the data evidence is scrutinized - over the last 15 years (180 months through August 31, 2012), the HadCRUT global temperature trend continues to be of global cooling (-0.12°C per century)
The IPCC's climate models are notorious for being wrong - a new study of the Karakoram mountain range (the western end of the Himalayan range) finds the glaciers expanding (gaining mass) and not contributing to a rise in sea levels, which again is a confirmation of the troubling inaccuracy of computer model simulations and of the "experts"
Read here. In a nutshell, the meaning of this study:
"Gardelle et al. conclude by stating that their measurements "confirm an anomalous mass balance in the Karakoram region and indicate that the contribution of Karakoram glaciers to sea-level rise was -0.01 mm/year for the period from 1999 to 2008," or "0.05 mm/year lower than suggested before." As for how this complete change of direction in the perceived mass balance history of the Karakoram glaciers could have occurred, Cogley (2012) writes - in a contemporaneous commentary on the work of Gardelle et al. - that "by a quirk of the atmospheric general circulation that is not understood, more snow is being delivered to the mountain range at present, and less heat," which leads one to wonder if there might well be a whole lot of things that are "not understood" about earth's climate ... by even the most brilliant of the world's scientists."
We know that the highest priority assigned to NASA by Obama was to build the self-esteem of Muslims, which clearly hasn't worked out to well - but in the case of NOAA, they are obviously working night and day to meet their Obama objective: "warming the world"...
(click on image to enlarge)
As noted in a previous 'C3' post, NOAA conducts a bizarre torturing of historical empirical measurements that defies rational scientific reason. The data torturing of global temperatures takes place multiple times per month, in pursuit of a single-minded objective.
Warming the world.
This chart is a plot two different NOAA global temperature datasets. The green plot represents the monthly global temperatures that NOAA reported at the end of 2008. And the red plot is the same dataset, but only after the tens of thousands of manipulations NOAA has made during the Obama administration. As can be seen, the red linear trend is steeper, meaning that NOAA has fabricated a warming trend that is faster.
NOAA accomplished this by primarily lowering temperatures prior to 1950 (note the red tips at bottom, left of the blue dotted line). After 1950, global temperatures were primarily adjusted up (note the red tips at the top, to the right of the blue dotted curve).
This continuous changing of past empirical evidence is not a case of NOAA and NCDC correcting previous errors or filling-in-the-gaps, instead it is most likely the case of NOAA utilizing their own specially formulated software to "adjust" the global temperature dataset multiple times per month. Obviously, the result of the software is to methodically increase the global warming trend, which then just happens to better match the "predictions" of the infamously unreliable computer climate models that American taxpayers have been forced to spend billions on.
Conclusion: Under Obama, the blatant anti-science technique of changing data to fit the desired political agenda narrative has dominated NOAA's "climate science." They are the only major climate agency in the world that literally changes 100% of the historical empirical evidence every single month. They do so in a non-random manner to attain an objective of increasing "global warming." In simplicity, Obama can look back at the job the NOAA's scientist-bozos have done and announce with pride: "Mission Accomplished!"
In contrast to the crazed, paranoid, lefty-loon rants of an obviously disturbed, anti-science journalist, what do actual scientists say about global warming....let's summarize with a favorite...
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Read here. It is well known that climate doomsday journalists have a serious aversion to actual empirical evidence and ignore the overwhelming amount of new peer-reviewed studies that seriously challenge their anti-science, green-religion belief system about global warming.
And now comes a new study by a huge international team of scientists, Niu et al, that points out an inconvenient scientific truth. The world's ecosystems (plants, animals and microbes) indeed prosper within warmer climate regimes - they successfully adapt and evolve with higher temps.
"In introducing their huge collaborative study, the sixty-eight authors say "it is well documented that plants, animals and microbes acclimate and/or adapt to prevailing environmental conditions in a way that can optimize their functioning under varying temperatures, which is collectively termed optimality...say they found that "the temperature response of NEE followed a peak curve, with the optimum temperature (corresponding to the maximum magnitude of NEE) being positively correlated with annual mean temperature over years and across sites," and they say that "shifts of the optimum temperature of NEE were mostly a result of temperature acclimation of gross primary productivity (upward shift of optimum temperature)...they indicate that "extended growing seasons, increased nitrogen mineralization, and enhanced root growth may also have contributed to the increased CO2 uptake under higher temperatures, leading to the upward shift in the optimum temperature of gross primary productivity in warmer years."" [Shuli Niu, Yiqi Luo, Shenfeng Fei, Wenping Yuan, David Schimel, Beverly E. Law, Christof Ammann, M. Altaf Arain, Almut Arneth, Marc Aubinet, Alan Barr, Jason Beringer, Christian Bernhofer, T. Andrew Black, Nina Buchmann, Alessandro Cescatti, Jiquan Chen, Kenneth J. Davis, Ebba Dellwik, Ankur R. Desai, Sophia Etzold, Louis Francois, Damiano Gianelle, Bert Gielen, Allen Goldstein, Margriet Groenendijk, Lianhong Gu, Niall Hanan, Carole Helfter, Takashi Hirano, David Y. Hollinger, Mike B. Jones, Gerard Kiely, Thomas E. Kolb, Werner L. Kutsch, Peter Lafleur, David M. Lawrence, Linghao Li, Anders Lindroth, Marcy Litvak, Denis Loustau, Magnus Lund, Michal Marek, Timothy A. Martin, Giorgio Matteucci, Mirco Migliavacca, Leonardo Montagnani, Eddy Moors, J. William Munger, Asko Noormets, Walter Oechel, Janusz Olejnik, Kyaw Tha Paw U, Kim Pilegaard, Serge Rambal, Antonio Raschi, Russell L. Scott, Günther Seufert, Donatella Spano, Paul Stoy, Mark A. Sutton, Andrej Varlagin, Timo Vesala, Ensheng Weng, Georg Wohlfahrt, Bai Yang, Zhongda Zhang and Xuhui Zhou 2012: New Phytologist]
'C3' Conclusions: So, who you going to believe about global warming? The anti-science, lefty-loon doomsday fanatics like Al Gore and David Appell, or 68 expert scientists regarding thermal optimality and our favorite optimist, Bobby McFerrin? We conclude the latter group to be a better indication of climate reality and outlook. The green anti-science zealots really need to stop and smell the roses every once in a while, and be thankful how both life and climate have improved since the Little Ice Age - a suggested therapy for their miserable attitudes should include listening to "Don't Worry, Be Happy" at least 3 times per day, which will hopefully dull the catastrophic-fear paranoia edge they continuously live on.
Since the Obama "science" team took office, the corruption of science has become an administration mantra - whether it's the green energy science scandals like Solyndra or the bogus climate science of NOAA, it has meant science credibility being dragged through the mud, needlessly - speaking of which....
(click on image to enlarge)
These 2 charts are plots of NOAA's historical global temperature record for the month of October 1899 and May 2011. NOAA has reported 27 different temperatures for each month since January 1, 2012.
Of the 1,529 months included in the entire NOAA temperature dataset, these two months have had the largest change reported during the year 2012.
And it's not just these two months that have experienced retroactive temperature adjustments - every single month in the entire dataset has been adjusted at least 27 times during 2012. Again, that's just for 2012, with the same level of revisionist fabrications occurring in years 2011, 2010 and 2009.
Another bizarre attribute of officially sanctioned revisionism is that most of the months prior to 1950 having cooling "adjustments" similar to the blue curve; and, most of the months post 1950 have warming "adjustments," similar to the red curve. These attributes, when combined, proves that 'Obama-warming' is a phenomenon that NOAA/NCDC scientists alone have discovered (created?).
How unusual are the frequency of these adjustments? For comparison sake, the HadCRUT global temperature dataset has not been revised once in 2012, and its monthly temperatures go back to 1850 (although, HadCRUT will at some point in the near future change to a new Version 4 dataset); for the two major satellite datasets (UAH and RSS), there have been no adjustments made to their entire monthly temperature record in 2012; and finally, the NASA/GISS dataset has had one occurrence in 2012 of an entire dataset revision, plus every month the GISS folks do seem to "adjust" more recent monthly records with some frequency.
So, for the record, NOAA is the only major climate research agency that feels compelled by some agenda, to not only "adjust" temperatures on a monthly basis, but to do so multiple times within each and every month for their entire dataset going back to January 1880. And to corroborate that some sort of agenda is driving all these adjustments, NOAA's end result is always an enhancement of the 'Obama-warming' phenomenon.
Speaking of January 1880, NOAA has also reported 27 different temperatures for that month in 2012. This single example of the bizarre fabrication of global temperatures simply makes a mockery of climate science and the historical evidence, which is cause enough for any sane person to conclude that the "global warming" that NOAA scientists speak of is essentially a bunch of bullshit.
One last thought. There are those who attempt to justify the ludicrous level of adjustments to the historical measurements as a "quality control" process being rigorously conducted by NOAA researchers. Rest assured though, the above two charts (red and blue) are actual proof that NOAA "scientists" must exist in some bizarro 'QC' world that is at the level of Six Sigma weirdness (in a bad way).
In conclusion, the blatant and politically-driven temperature adjustments being performed by NOAA/NCDC on a monthly basis provides even further ammunition as to why the world needs to move to a better and more accurate methodology towards temperature measurement and reporting. Ironically, it is NOAA itself that has already conducted a large experiment, and in doing so, proving their monthly bizarre battle with the empirical evidence is truly unnecessary and superfluous.
Note: 'C3' has downloaded 27 different NOAA global temperature datasets from the NOAA web server during 2012. There actually could have been more than 27 since 'C3' may have missed several revisions over the course of 2012.
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."
Conclusions:
#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.
Catastrophic global warming skeptics have long said that climate research agencies and the IPCC were overstating the amount of global temperature increase due to the Urban Heat Island (UHI) effect - skeptics were just proven correct in a new Turkish study
Read here. This image portrays the impact that dense urban areas can have on local temperatures. This is the UHI effect, which can literally stretch for miles causing regional temperatures to be higher. The UHI effect has nothing to do with greenhouse gases (e.g. CO2 emissions).
One means to determine the impact of UHI, plus confirm the influence of greenhouse gases, is to analyze and compare the minimum daily temperatures for urban areas versus the rural areas. If greenhouse gases have little impact on temperatures, than the rural daily minimum temperatures should reveal a a zero to slight increasing trend.
Turkish scientists, Ozdemir et al., did this type of comparison for temperature readings across the Anatolian Peninsula.
"Focusing on cities having over half a million inhabitants representative of urban conditions and much smaller towns representative of rural conditions - all of which also possessed continuous high-quality temperature data from 1965 to 2006 - the authors studied the four-decade trends in daily minimum air temperature at each location...the eight researchers report that "statistical analysis of daily minimum temperatures for the period between 1965 and 2006 suggest that there is no statistically significant increase in rural areas." However, they say that all of the urban sites, as well as the differences between urban and rural pairs, show significant increases in temperature, indicative of a strong urban heat island (UHI) effect over the region. In fact, as they describe it, the average "urban station is over 4°C warmer than rural."" [Huseyin Ozdemir, Alper Unal, Tayfun Kindap, Ufuk Utku Turuncoglu, Zeynep Okay Durmusoglu, Maudood Khan, Mete Tayanc, Mehmet Karaca 2012: Theoretical and Applied Climatology]
'C3' Conclusions: This Turkish study confirms what previous UHI effect studies have found: rural areas are not experiencing an increase in temperatures due to greenhouse gases. Because the dataset used to calculate global temperatures is dominated by urban and airport locations, overstating global warming has been the result. The UHI effect has never been adequately removed so as to provide an accurate picture of CO2-induced global warming. Simply put, to accurately determine actual global warming from greenhouse gases, only rural climate stations, based on the state-of-the-art USCRN technology and standards, should be used for the land surface global temperature dataset.
During 2012, the U.S. experienced a hot and dry summer with climate doomsday scientists and pundits claiming it was the most severe ever, and a sure sign of hhuman caused extreme climate change - ooops, wrong again, per NOAA
A select group of climate scientists and weather experts are forever trying to explain each severe weather event as a result of global warming from human CO2 emissions. They, and the usual parade of fame-seeking climate doomsday activists, then state "this is what extreme climate change looks like."
Although 2012 has been a warm year in the U.S. (probably not the warmest based on accurate temperature measurements,though), the claim of the U.S. being in the most severe drought condition ever is blatantly wrong and purposefully deceiving.
The adjacent NOAA/NCDC images (as of August) are of current drought conditions versus the severe droughts of 1988 and 1934. Clearly, the 2012 drought is less severe and less widespread than the previous droughts.
Droughts in the U.S. are not unusual - in fact, almost every year there are bad drought conditions in some region of the U.S. The 2012 drought is no exception and remains well within the normal weather variation experienced before.
Indeed, both the U.S. and the rest of the world have well documented periods of very severe weather in the past that makes the bad weather of 2012 pale in comparison, and such is the case for the summer of 2012.
Conclusions: Any climate "scientist" or weather "expert" who claims that typical severe weather events are examples of human-caused extreme climate change is, simply stated, a liar. The most recent U.S. severe drought is likely not a result of extreme climate change, but instead typical weather variation that the U.S. experiences, which NOAA and the mainstream press have long documented.
Most global warming skeptics believe that humans have some measurable impact on global temperatures and the climate, but that natural climate forces, over longer periods, will overwhelm the human influence...in addition, skeptics believe that the human influence will not result in the hysterical catastrophic climate disasters presented by doomsday pundits...
(click image to enlarge, image source of one, two, three)
...and finally, global warming skeptics believe, for a multitude of reasons, human errors/mistakes/failings have caused late 20th century global warming to be significantly overstated.
This article addresses this last point. What if the climate experts conducted an actual experiment that would prove whether the global warming skeptics were right or wrong about world-wide warming being overstated?
Well, NOAA has actually conducted said experiment by building their U.S. Climate Reference Network (USCRN), which precisely, and automatically, measures temperature and weather conditions across the U.S. The USCRN effort is based on the concept that the best way to measure the impact of greenhouse gases on global temperatures is to place state-of-the-art climate stations in pristine rural areas that are little impacted by people, buildings, vehicles, equipment, asphalt and etc.
An example of one of NOAA's pristine climate measurement stations is the top image (Image #1). And the middle image depicts the location of each pristine station - there are currently 114 of them, and clearly they are well dispersed providing good U.S. coverage.
By carefully planning and maintaining these pristine stations and by using the best technology available, this large-scale experiment eliminates the following problems with the older weather measurement network:
There are no observer or transcription errors to correct.
There is no time of observation bias, nor need for correction of it.
There is no broad scale missing data, requiring filling in data from potentially bad surrounding stations. (FILNET)
There are no needs for bias adjustments for equipment types since all equipment is identical.
There are no need for urbanization adjustments, since all stations are rural and well sited.
There are no regular sensor errors due to air aspiration and triple redundant lab grade sensors. Any errors detected in one sensor are identified and managed by two others, ensuring quality data.
Due to the near perfect geospatial distribution of stations in the USA, there isn’t a need for gridding to get a national average temperature.
So, what has this NOAA experiment found? The bottom image (Image #3) tells that story - when compared to measurements from the old, inaccurate, non-pristine network, temperature "warming" in the U.S. is being overstated anywhere from +0.5°C on average, up to almost +4.0°C (+0.9°F to +7.2°F) in some locations during the summer months.
To clarify, this range of overstatement depends on the given new and old stations being compared. However, when the new network versus old network results are examined in total, for the recent summer heat wave in the U.S., the old stations were reporting bogus warming during July that amounted to some +2.1°F higher than the actual temperatures.
What does this mean? Within the climate science realm, the old climate/weather station system had long been considered the best and most complete measurement network in the world. But when pitted against a brand new climate measurement system that has the best qualities that science can provide, we find that the traditional U.S. methodology is significantly overstating the "global warming" phenomenon. This means that if other countries replaced their own low quality network with NOAA's greatest and latest technology, with the best location site standards applied, we would discover that world-wide temperature increases have been wildly overstated also.
Conclusions: A large-scale NOAA experiment has proven that global warming skeptics were correct: temperature warming in the U.S. has been significantly overstated in recent decades. This NOAA experiment should be expanded to other continents and countries since it is now obvious that the combined older technology and substandard weather station sites have well overstated the global warming phenomenon. Before any further dollars are spent on climate change adaptation and/or mitigation, the world needs to upgrade their global weather/climate reporting network to the USCRN standard so that policymakers have correct temperature change mesurements to base their decisions on.
The recent evidence is overwhelming that climate models are completely ineffective at predicting global temperatures, and newer research confirms they have serious problems properly simulating major component/regions of the globe's environment
(click image to enlarge)
Read here. New research on the accuracy of climate models regarding the modeling of the Southern Ocean region reveals major issues.
The Weijer et al. team identified the following concerns:
"The nine researchers state that "the CCSM4 has varying degrees of accuracy in the simulation of the climate of the Southern Ocean when compared with observations," some of which we list as follows: (1) "the seasonally ice-covered regions are mildly colder (ΔSST > -2°C) than observations," (2) "sea ice extent is significantly larger than observed," (3) "north of the seasonal ice edge, there is a strong (-4°C < ΔSST < -1°C) cold bias in the entire Pacific sector south of 50°S and in the western Australian-Antarctic Basin," (4) "positive biases (1° < ΔSST < 4°C) are found in the Indian and Atlantic sectors of the Southern Ocean," (5) "significant differences are found in the Indian and Pacific sectors north of the ACC, with the CCSM4 model being too cold (< -2°C) and fresh (<-0.3 psu)," (6) "AABW adjacent to the Antarctic continent is too dense," (7) "North Atlantic Deep Water is too salty (>0.2 psu)," (8) "in the Indian and Pacific sectors of the Southern Ocean, north of 50°S and below 3000 meters, the too-salty AABW penetrates northward, resulting in a denser-than-observed abyssal ocean in CCSM4," (9) "the model underestimates the depth of the deep winter mixed layers in the Indian and eastern Pacific sectors of the Southern Ocean north of the ACC," (10) "in the southern Tasman Sea and along the eastern Indian Ocean boundary ... the model mixed layer depth is deeper than observed by more than 400 meters," (11) "in all sectors of the Southern Ocean, Model CFC-11 concentrations in the lower thermocline and intermediate waters are lower than observed," (12) "model CFC-11 concentrations in the deep ocean (below 2000 meters) are lower than observed in the basins adjacent to the Antarctic continent," (13) "model surface CFC-11 concentrations are higher than observed," (14) "the production of overflow waters in the Ross Sea is too low by about a factor of 2 relative to the limited observations," (15) "the depth at which the product water settles was also shown to be too shallow by about a factor of 2," (16) "the subtropical gyre of the South Atlantic is too strong by almost a factor of 2, associated with a strong bias in the wind stress," (17) the mean position of the BMC is too far south in the CCSM4," and (18) "the model variability in the position of the BMC is significantly less than observations."
[Wilbert Weijer, Bernadette M. Sloyan, Mathew E. Maltrud, Nicole Jeffery, Matthew W. Hecht, Corinne A. Hartin, Erik van Sebille, Ilana Wainer, Laura Landrum 2012: Journal of Climate]
Conclusions: The IPCC climate models can't simulate the reality of observed climate conditions. Climate models and computer simulations are incapable of producing credible climate predictions and forecasts due to the lack of understanding that scientists have about all the interactions within the climate system.
Obama's green fundamentalists took control over the EPA and have since been on a jihad to destroy the coal industry and other fossil fuel sectors - but like so many religious fanatics, Obama's extremists ignore the actual science
Read here. As has been clearly demonstrated with empirical evidence, recent global warming (or lack of) is not the result of increasing atmospheric CO2 levels.
So, if CO2 is not the principal driver of global temperature changes, then what is?
The adjacent chart is a plot of daytime high temperatures and solar radiation. The very visible close relationship between solar energy and the maximum temperatures is very obvious, and is irrefutable - it's the sun, stupid!
With most scientists now recognizing that the jihad against CO2 emissions was not really supportable by the empirical evidence, new scientific efforts are being conducted to determine what are the major factors influencing global warming/cooling. And, the solar influence now appears to be the major culprit.
In the realm of the political climate, both Romney and Ryan should be constantly bashing Obama and the Democrats over their destruction of the coal industry, and the anti-science green, fanatic jihad unleashed on the American economy. Driving the coal industry to bankruptcy and curtailing oil drilling across the U.S. was a completely needless hatchet attack on economic growth by Obama's EPA.
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.
Read here. More confirmation that climate doomsday alarmists are completely incapable of conducting honest, impartial scientific research.
"The pressure is ramping up on Stephan Lewandowsky at quite a rate of knots. The illusion that his paper was a bona fide contribution to the academic literature has faded away with the news that his headline - linking denial of the US moon landing and AGW scepticism - was not even supported by his data. The first allegations of academic fraud have been made."
The credibility and reputation of the entire science community continues to be sacrificed by "scientists" with a political agenda, especially any scientist who is a proponent/advocate of catastrophic global warming and climate change.
The level of science misconduct alleged in the Lewandowsky affair again establishes why there needs to be 'freedom of information acts' that allow the public to discover the truth. And in fact, a 'FOIA' has been filed in this case. This should get very interesting.
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.