namnugenot wrote on Aug 6
th, 2012 at 9:12pm:
Reference to dice, the invocation of prayer and the reference to his own data that does not fit as a statistical fluke. Otherwise he does not cite his methodology so it is difficult to tell.
Quote:"It's about rare weather events becoming more common. Pointing to similar events in the past does not counter this argument. We all know these things happened, but why are they happening more frequently today." MOTR
Other than reference to the US 1930's there is nothing in the paper other than speculation going to the frequency of global "rare weather events". He also states that the four mean temperature anomalies for 1934, 1936, 2006 and 2011 are practically indistinguishable. He goes on to say that it is difficult and perhaps unessential to find an "explanation" for either the large 1930's anomalies or the relatively slow upturn in hot upturns for the last few decades. From this he leaps wildly into speculation that because the last few decades in the US were lower than what was expected it will climb even more rapidly. You can't be serious.
This does not address global rare weather events. For Australia it is certainly the case that the weather events at around the beginning of the last century were more pronounced adverse weather was evident, added to which there was not the water usage in anywhere near the current rates for either rural or urban centers.
There are also many parts of the world where there were no records until quite recently so the veracity of such a claim as to the frequency of such events while described as difficult for where there are detailed records (US) are impossible where there are none or where the quality of such data is questionable.
Here is the reference to dice.
Quote:Abstract. The "climate dice" describing the chance of an unusually warm or cool season, relative to the climatology of 1951-1980, have progressively become more "loaded" during the past 30 years, coincident with increased global warming. The most dramatic and important change of the climate dice is the appearance of a new category of extreme climate outliers. These extremes were practically absent in the period of climatology, covering much less than 1% of Earth's surface. Now summertime extremely hot outliers, more than three standard deviations (σ) warmer than climatology, typically cover about 10% of the land area. Thus there is no need to equivocate about the summer heat waves in Texas in 2011 and Moscow in 2010, which exceeded 3σ – it is nearly certain that they would not have occurred in the absence of global warming. If global warming is not slowed from its current pace, by mid- century 3σ events will be the new norm and 5σ events will be common.
Here is the invocation of prayer.
Quote:One of the major candidates in the current Presidential primary in the United States has declared that human-made global warming is a hoax, and he has issued an official Proclamation: " I, Rick Perry, Governor of Texas, under the authority vested in me by the Constitution and Statutes of the State of Texas, do hereby proclaim the three-day period from Friday, April 22, 2011, to Sunday, April 24, 2011, as Days of Prayer for Rain in the State of Texas. I urge Texans of all faiths and traditions to offer prayers on those days for the healing of our land, the rebuilding of our communities and the restoration of our normal way of life."
Science cannot disprove the possibility of divine intervention. However, there is a relevant saying that "Heaven helps those who help themselves."
Science does show that business-as-usual fossil fuel emissions will cause atmospheric CO2 to continue to increase rapidly. The increasing greenhouse gases will cause the rapid global warming of the past three decades to continue, and this warming will cause the climate dice to become more and more loaded with greater and greater extreme events. The probability that this conclusion is wrong is about as close to zero as one can get.
Fortunately, it is not necessary to continue business-as-usual. In a paper that we are working on with a number of distinguished colleagues we argue that an appropriately rising price on carbon emissions could move the world to a clean energy future fast enough to limit further global warming to several tenths of a degree Celsius. Such a scenario is needed if we are to preserve life as we know it.
Here is the statistical fluke.
Quote:The longer time scale is important for the United States, because of the well-known extreme heat and droughts of the 1930s. . . The 48 states cover less than 1.6% of the global area and thus the results are very "noisy". Despite the noise, we can discern that the trend toward hot summers in recent decades is not as pronounced in the United States as it is in hemispheric land area as a whole. Also the extreme summer heat of the 1930s, especially 1934 and 1936, is comparable to the most extreme recent years.
Summer temperature anomalies for the United States are shown in Figure 8, including maps for 1934, 1936, 2006 and 2011. The mean temperature anomalies in these four warm summers (approximately +1°C or +2°F) are practically indistinguishable, as the differences among them are smaller than the uncertainty. Year-to-year variability, which is mainly unforced weather variability, is so large for an area the size of the United States that it is difficult and perhaps unessential to find an "explanation" for either the large 1930s anomalies or the relatively slow upturn in hot anomalies during the past few decades. However, this matter warrants discussion, because, if the absence of a stronger warming in recent years is a statistical fluke, the United States may have in store a relatively rapid trend toward more extreme anomalies.
And his methodology is not difficult to follow. It is a simple statistical analysis of the data found here.
Quote:The Goddard Institute for Space Studies (GISS) surface air temperature analysis (Hansen et al., 2010) is carried out at two spatial resolutions: 1200 km and 250 km. In this paper we use the 250 km analysis, which is well-suited for our objective to illustrate seasonal-mean climate variability on regional spatial scales and investigate the significance of recent extreme events.