Modelling Climate AlarmismPosted: August 15, 2013
“The data doesn’t matter. We’re not basing our recommendations on the data. We’re basing them on the climate models.” – Prof. Chris Folland, Hadley Centre for Climate Prediction and Research
“The models are convenient fictions that provide something very useful.” – Dr David Frame, climate modeler, Oxford University
98% 99% of climate models say that 97% of climate scientists are wrong.
Dr Roy Spencer:
STILL Epic Fail: 73 Climate Models vs. Measurements, Running 5-Year Means
June 6th, 2013 by Roy W. Spencer, Ph. D.
In this case, the models and observations have been plotted so that their respective 1979-2012 trend lines all intersect in 1979, which we believe is the most meaningful way to simultaneously plot the models’ results for comparison to the observations.
In my opinion, the day of reckoning has arrived. The modellers and the IPCC have willingly ignored the evidence for low climate sensitivity for many years, despite the fact that some of us have shown that simply confusing cause and effect when examining cloud and temperature variations can totally mislead you on cloud feedbacks (e.g. Spencer & Braswell, 2010). The discrepancy between models and observations is not a new issue…just one that is becoming more glaring over time.
It will be interesting to see how all of this plays out in the coming years. I frankly don’t see how the IPCC can keep claiming that the models are “not inconsistent with” the observations. Any sane person can see otherwise. Keep reading »
Even with the best models, warmest decades, most CO²: Models are proven failures:
This beautiful graph was posted at Roy Spencer’s and WattsUp, and no skeptic should miss it. I’m not sure if everyone appreciates just how piquant, complete and utter the failure is here. There are no excuses left. This is as good as it gets for climate modelers in 2013.
John Christy used the best and latest models, he used all the models available, he has graphed the period of the fastest warming and during the times humans have emitted the most CO2. This is also the best data we have. If ever any model was to show the smallest skill, this would be it. None do. Keep reading »
Climate modeling EPIC FAIL – Spencer: ‘the day of reckoning has arrived’
I was aware of this story yesterday, but I didn’t like the original plot, (see at the end of this post) since use of straight line linear trends doesn’t accurately reflect the reality of the observation data. While it is often hard to find any reality in climate models, linear trend lines mask the underlying variance. Today, Dr. Spencer has produced a graph that I feel is representative and very well worth sharing, because it does in fact convey an EPIC FAIL speaking directly to the accuracy of an ensemble of climate models. – Anthony Keep reading »
‘Forecasting’ Climate Alarmism with 73 IPCC CMIP5 state-of-the-art, billion dollar climate models:
Using overheated climate models in scientific studies, to generate climate forecasts and outcomes, creates a problem of accuracy as projections are based on unverifiable predictive models which do not accord with observed reality. Findings are invariably exaggerated by a warming bias leading to panic and costly climate policy overreach.
Media outlets like the Guardian and BBC, promulgating the CO²-centric global warming scare, take full advantage of the warming bias with often catastrophic and alarmist headlines:
Heatwave deaths in New York city could rise by up to 22%, study shows ~ New temperature norms under climate change will increase weather-related deaths in metropolitan areas in coming decades. New York city could experience up to 22% more deaths from extreme summertime heat in the coming decade under global warming, according to a study of the impact of climate trends. Keep reading »
73 ‘overheated’ climate models predict within 87 years, most of America will be ‘partially’ underwater:
Since that forecast was made in 1979, tide gauges in California show 0.00 cm of sea-level-rise. Schneider was only off by a factor of infinity.
Geologist Dr. Don Easterbrook debunks ‘absurd’ new warmist study claiming 1,700 U.S. cities will be below sea level by 2100 — Easterbrook: ‘The rate used by [Lead Author] Strauss for his predictions is more than 10 times the rate over the past century!’
Easterbrook: ‘The accelerated rise is based on postulated accelerated warming but there has been no warming in the past 15 years and, in fact, the climate has cooled during that time. So no climatic warming means no accelerated sea level rise as postulated by Strauss…the huge rise of sea level rates proposed by Strauss are absurd and that the maximum sea level rise by 2100 will be less than one foot’ Keep reading »
WARNING: Using a different computer could change the climate catastrophe
How bad are these global forecast models?
When the same model code with the same data is run in a different computing environment (hardware, operating system, compiler, libraries, optimizer), the results can differ significantly. So even if reviewers or critics obtained a climate model, they could not replicate the results without knowing exactly what computing environment the model was originally run in. Keep reading »
By P Gosselin on 6. August 2013
Hard fact: global temperature has not risen as the models predicted – not even close! Conclusion: models are fundamentally flawed. Watch the following well-done video:
Climate Models cannot explain why global warming has slowed
Finally climate scientists are starting to ask how the models need to change in order to fit the data. Hans von Storch, Eduardo Zorita and authors in Germany pointedly acknowledge that even at the 2% confidence level the model predictions don’t match reality. The fact is, the model simulations predicted it would get warmer than it has from 1998-2012. Now some climate scientists admit that there is less than a 2% chance that the models are compatible with the 15-year warming pause, according to the assumptions in the models. Keep reading »
From the Institute for Energy Research:
It is this second class of models, the economic/climate hybrids called Integrated Assessment Models, that Pindyck discusses. Pindyck’s paper is titled, “Climate Change Policy: What Do the Models Tell Us?” Here is his shocking answer, contained in the abstract:
Very little. A plethora of integrated assessment models (IAMs) have been constructed and used to estimate the social cost of carbon (SCC) and evaluate alternative abatement policies. These models have crucial flaws that make them close to useless as tools for policy analysis: Keep reading »
Climate Model: resolution still too coarse to provide useful predictions
From the National Academy of Sciences report A National Strategy for Advancing Climate Modeling:
Computer models that simulate the climate are an integral part of providing climate information, in particular for future changes in the climate. Overall, climate modeling has made enormous progress in the past several decades, but meeting the information needs of users will require further advances in the coming decades.
The fundamental science of greenhouse gas-induced climate change is simple and compelling. However, genuine and important uncertainties remain (e.g., the response of clouds,
ecosystems, and the polar regions) and need to be considered in developing scientifically based strategies for societal response to climate change.
As climate change has pushed climate patterns outside of historic norms, the need for detailed projections is growing across all sectors, including agriculture, insurance, and emergency preparedness planning. A National Strategy for Advancing Climate Modelingemphasizes the needs for climate models to evolve substantially in order to deliver climate projections at the scale and level of detail desired by decision makers, this report finds. Despite much recent progress in developing reliable climate models, there are still efficiencies to be gained across the large and diverse U.S. climate modeling community. Evolving to a more unified climate modeling enterprise-in particular by developing a common software infrastructure shared by all climate researchers and holding an annual climate modeling forum-could help speed progress. Keep reading »