Posted on 01/16/2007 5:06:47 AM PST by oldtimer2
That was about the same odds Rick Pitino went with to take the Celtics job and get Tim Duncan in draft lottery.
Like they predicted the 2006 hurricane season?
A hurricane season is not climate. The models are climate models.
" if you plug in the initial conditions resulting from the eruption of Mt. Pinatubo (1991), the models correctly predict the amount and duration of the resulting global cooling."
That's the first I've heard of that claim; is this from a published study or another source?
BTW, how much global cooling was there and what years did it last?
Both. He is a climate research professor at UW-Madison. He works off of federal grants to build computer models to test "global warming" theory. Part of that effort includes building local and regional models that are integrated into the global models.
This is the standard procedure for testing models, because you already have the data and you already have the outcome.
My point was that the models did not predict the effect of the Pinatubo eruption on global temperatures. The models were built to fit the data, not predict the outcome. If Pinatubo were to erupt today, the models would not be able to predict the eruption's effect on global temperatures beyond a day or two into the future.
I read in a Smithsonian article at least 10 years ago that global warming models cannot predict anthing because the scientists creating the model have to make thousands of assumptions - each with some degree of innacuracy.
Bull. Modeling weather is far less complex with fewer variables and less unknowns than modeling climate, about which we understand very little.
One thing that ought to be taken into account is that warming winters wiil work to reduce fuel use for heating buildings and automatically reduce CO2 output as well.
"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus
A Lego isn't a set; but if you collect one Lego a year for a number of years, you will have a set.
It's silly to try and divorce climate from weather; since the study of climate is based on observations of weather.
If everybody could just reduce his energy use by 10% we could know far better what the influence is.
This is the standard procedure for testing models, because you already have the data and you already have the outcome. Otherwise it would take far too long to verify a model's accuracy.
No. I have developed hydro-dynamic computer models at the National Labs and in Industry for many years and have worked closely with experimentalist while trying to validate the models. Comparisons with existing data are only for qualitative purposes or maybe to try and infer the value of unknown coefficients. However, a models predictive capabilities are *only* based on its ability to predict outcomes apriori (before the measurement)
The type of testing you are refer to only appropriate for semi-emperical models. These are models which are always done after the fact and use experimental inputs as part of the model as a means to try and understand process corelations in a system that is beyond our ability to fully model. These are NOT predictive models.
"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus
"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus
"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus
Thanks for the post that clearly shows a very high correlation that CO2 levels and global temperatures track each other very well.
You just showed that the Hypothesis is probably correct !!!
Not that humans cause Global Warming but, Rising CO2 levels cause Global Warming.
But, It is also an undeniable fact that we humans are dumping billions of tons of CO2 in the air and atmospheric CO2 levels have risen quite dramatically over the last 100-150 years.
Thanks for the post that clearly shows a very high correlation that CO2 levels and global temperatures track each other very well.
Actually you miss the point of that graph by a wide margin. Temperature leads the change in CO2 for the most part in that data. As temperature rises, CO2 is released into the atomosphere from the oceans, and biosphere. It is an effect not a cause of temperature change insofar as it relates to icecore studies such as in depiction #11. Note that each pixel of that graph is around 1kys worth of information and still it demonstrates an extreme lag in change of CO2 concentrations.
- "(1) correlation does not prove causation, (2) cause must precede effect, and (3) when attempting to evaluate claims of causal relationships between different parameters, it is important to have as much data as possible in order to weed out spurious correlations.
***
Consider, for example, the study of Fischer et al. (1999), who examined trends of atmospheric CO2 and air temperature derived from Antarctic ice core data that extended back in time a quarter of a million years. Over this extended period, the three most dramatic warming events experienced on earth were those associated with the terminations of the last three ice ages; and for each of these climatic transitions, earth's air temperature rose well in advance of any increase in atmospheric CO2. In fact, the air's CO2 content did not begin to rise until 400 to 1,000 years after the planet began to warm. Such findings have been corroborated by Mudelsee (2001), who examined the leads/lags of atmospheric CO2 concentration and air temperature over an even longer time period, finding that variations in atmospheric CO2 concentration lagged behind variations in air temperature by 1,300 to 5,000 years over the past 420,000 years."[ see also: Indermuhle et al. (2000), Monnin et al. (2001), Yokoyama et al. (2000), Clark and Mix (2000) ]
- "Other studies periodically demonstrate a complete uncoupling of CO2 and temperature "
[see: Petit et al. (1999), Staufer et al. (1998), Cheddadi et al., (1998), Raymo et al., 1998, Pagani et al. (1999), Pearson and Palmer (1999), Pearson and Palmer, (2000) ]
- "Considered in their entirety, these several results present a truly chaotic picture with respect to any possible effect that variations in atmospheric CO2 concentration may have on global temperature. Clearly, atmospheric CO2 is not the all-important driver of global climate change the climate alarmists make it out to be."
Global warming and global dioxide emission and concentration:
a Granger causality analysis
- "We find, in opposition to previous studies, that there is no evidence of Granger causality from global carbon dioxide emission to global surface temperature. Further, we could not find robust empirical evidence for the causal nexus from global carbon dioxide concentration to global surface temperature.
You cannot entirely divorce what a writer says from his level of expertise when he is commenting on a highly technical subject. And all I did was ask what the writer's expertise was.
Global warming predictions are more like these aggregate sort of statistics. For example, let's say that there are indeed 100 GW variables and we can predict each with an accuracy of 99% but we only have to get 90 of the 100 variables right to correctly predict some global warming threshold. The chances of getting 90 of the 100 correct is about 99.9999993744482%. Betting against global warming would be like buying lottery tickets, a sucker's bet.
As a person who's skeptical about global warming hype, I hate being tarnished by association with arguments like Lewis makes.
There are two things:
1. global warming;
2. Global Warming.
The second one is the real one.
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