Archive for the ‘willie soon’ Category
“There are no scientific forecasts of dangerous global warming” shouts a new article in the Financial Post. Readers of this blog know that already, but will likely want to read what the op-ed titled “Climate forecast: All’s well, despite what the IPCC says” by Kesten Green, Scott Armstrong, and Willie Soon has to say about the implications for government policy. It has already attracted lively discussion. The article is here.
The authors claim to provide the only scientific forecast of long-term climate, namely the naive no-change or no-trend forecast that is the basis of Professor Armstrong’s notional bet with Mr Gore. The forecast was originally published in 2009, and the International Journal of Forecasting article can be found here. The authors’ current working paper investigating possible improvements to climate forecasting for policy makers is here.
The Nongovernmental International Panel on Climate Change (NIPCC) has released a new report on the science of climate change: Climate Change Reconsidered II: Physical Science. The key takeaway messages are (1) the human impact on climate is very small and (2) any change in temperatures that might be occurring or will occur in the future is so small that it will not be noticed against the climate’s entirely natural variability.
As part of the NIPCC’s process for preparing this volume, scores of scientists from around the world evaluated the most up-to-date research on the physical science of climate change. This report is at least as comprehensive and authoritative as the reports of the United Nations-funded Intergovernmental Panel on Climate Change (IPCC) … and the NIPCC report is faithful to the scientific method. Whereas the mission of the IPCC is to find a human impact on climate change and thus justify government control of greenhouse gas emissions and our economy, the NIPCC has no agenda other than discovering the truth about climate change.
Section 1.1.1 of the report addresses forecasting principles and methods, and was co-authored by J Scott Armstrong and Kesten C Green. It is on p.14 of the Chapter 1 of the report, which is available here.
The Doctors for Disaster Preparedness Conference in Houston (July 12 to 15 2013) featured several talks related to the dangerous manmade global warming alarm, including one from theclimatebet.com’s Professor Scott Armstrong. A video of his talk, “Evidence-Based Forecasting for Global Warming”, is available here. Willie Soon’s talk, “Five or more failed experiments in measuring global sea level change”, is available here, and Antony Watts’s talk, “Ten tests to determine whether you should be concerned about global warming” is available here.
Scott Armstrong and Willie Soon both spoke on long-term climate forecasting—Armstrong on temperatures and Soon on sea levels—on 13 and 14 July 2014 at the Doctors for Disaster Preparedness Meeting in Houston, Texas. Scott Armstrong’s talk was titled “Evidence-based forecasting for global warming” and the slides are available here. Willie Soon’s talk was titled “Five or more failed experiments in measuring global sea level change” and a video recording of it is available, here.
Both scientists describe how alarming forecasts have been derived for these poorly understood situations using complex mathematical models with many variables and judgmental adjustments. These procedures violate The Golden Rule of Forecasting, which requires forecasters to be conservative, especially in the presence of great uncertainty.
After spiking in January, temperatures in April were again well below the 2007 average that is Scott Armstrong’s forecast. (See the updated chart to the right for the state of the bet.) Over the duration of the 64 months to date of the bet, temperatures have been greater than Mr Gore’s IPCC-based warming forecast for 15 months or less than 23% of the time. In contrast, temperatures have been less than Professor Armstrong’s evidence-based forecasts for 36 months or more than 56% of the time. None of the forecasts was exactly equal to the actual temperature. The results support the contention that Mr Gore and the IPCC’s dangerous warming forecasts are insufficiently conservative given the state of knowledge about climate, and that the Green, Armstrong, and Soon (2009) no-change model provides a better representation of the considerable uncertainty that exists.
Bob Carter, Willie Soon, and William Briggs describe the evidence that changes in radiation from the Sun are the major source of changes in the Earth’s climate in a new article in Quadrant. The claim may seem uncontroversial, but global warming alarmists argue that human emissions of carbon dioxide have such a big effect that they dominate solar changes and are inexorably and dangerously boosting global mean temperatures. The Climate Bet is a test of these hypotheses, with Scott Armstrong “betting” on unpredictable changes in solar radiation and Al Gore on CO2-induced warming… and you know how that has been going.
Of the first 60 months of the 120 month (10 year) Climate Bet, Scott Armstrong’s naive model forecast* of no change in global average temperatures has been closer to the actual temperature than Al Gore’s IPCC-orignated 3°C per century warming forecast for 40 months. The updated Climate Bet Graph is to the right.
Mr Gore and much of the media are concerned about global warming. They should be relieved to learn that over the last five years (2008 to 2012) temperatures were flat or down from the previous month for 62% of months. The year 2012 ended with the global mean temperature for December the same as for the base year for the bet, 2007.
We calculate from the Hadley Center’s global average annual temperature estimates from 1850 to 2012 that the next five years would have to witness a rate of annual average temperature increase greater than 78% of previous five-year sequences in order for Mr Gore to win the bet. Perhaps, like the UK Met Office, he would like to reconsider his forecast.
*To learn more about the naive model, and the performance of no-change forecasts compared to the IPCC’s “forecasts”, see these papers:
Green, K. C., Armstrong, J. S., & Soon, W. (2009). Validity of climate change forecasting for public policy decision making. International Journal of Forecasting, 25, 826–832.
Green, K. C., Soon, W., & Armstrong, J. S. (2013). Evidence-based forecasting for climate change. [Working paper - not for citation].
The warming alarmist Met Office’s own figures, released without fanfare last week, show no global warming for 16 years. Does that mean we have had 16 years of “dangerous manmade global equilibrity”? Or should that be, 16 years of “beneficial manmade global temperateness”? Who’d have guessed? As readers of these pages will know, this is just what Kesten Green, Scott Armstrong, and Willie Soon found to be the best forecast of global mean temperatures in their paper titled “Validity of climate change forecasting for public policy decision making“: No change. This is also the forecast that Scott Armstrong has issued to challenge Al Gore’s forecast of alarming manmade warming. The Mail‘s article is here, and their temperature graph is below. Further discussion is provided by the Global Warming Policy Foundation, here.
In a 6 September piece in The Washington Times, Willie Soon and William Briggs bring the long history of research on the connection between solar activity and Earthly temperatures up-to-date. We have reproduced the chart that appears in the article, below. For more on the relationship between the solar radiation hitting the Earth and maximum daytime temperatures, see the article, here. It is not obvious that carbon dioxide, the gas behind Al Gore and the IPCC’s dangerous manmade global warming alarmism, could explain any more of the variation in temperatures than is apparently already explained by the Sun.
Test your climate forecasting skills: It’s anonymous, and fun!
To learn about the latest developments in climate forecasting, read the draft paper by Kesten Green, Scott Armstrong, and Willie Soon from the recent International Symposium on Forecasting in Boston (June 2012). The link to the paper is here, and supporting materials are towards the bottom of the page.