I'm seeing a few articles on Government-sponsored science lately that seem particularly applicable to the climate change research:
A short review of Economic Laws of Scientific Research links to an overview of the area, particularly the Cato Institute
Scientists may love government money, and politicians may love the power its expenditure confers upon them, but society is impoverished by the transaction.
Another in a similar vein on medical research reminds me of Craig Venter's decoding
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Kenskingdom demonstrates again the wisdom of 'trust, but verify':
I compared the adjusted [Australian Temperature] data with the raw data of these 34 stations.
Here are the results, and they are perplexing.
* I was expecting to find a stronger warming trend in the urban data than the 100 non-urban sites. WRONG.
* I was expecting to find BOM correcting for UHI, that is, reducing the trend. PARTLY RIGHT. But less often than with the non-urban sites.
* I was expecting the urban
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From Roger Pielke Sr:
Writing in 2005, Hansen, Willis, Schmidt et al. suggested that GISS model projections had been verified by a solid decade of increasing ocean heat (1993 to 2003). This was regarded as further confirmation the IPCC’s AGW hypothesis. Their expectation was that the earth’s climate system would continue accumulating heat more or less monotonically. Now that heat accumulation has stopped (and perhaps even reversed), the tables have turned. The same criteria used to
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Published drought paper here and preprint here.
Citation:
Stockwell, David R.B., 2010. Critique of Drought Models in the Australian Drought Exceptional Circumstances Report (DECR), Energy & Environment, 21:5, 425-436, DOI:10.1260/0958-305X.21.5.425, Link:http://multi-science.metapress.com/content/L4870G0N8Q064377
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In 2009, the Queensland Climate Change Centre of Excellence prepared a series of reports detailing projected climate changes for 13 regions throughout Queensland. The reports provide a high-level summary of projected changes and an accessible overview of the potential impacts to a wide audience, including:
# a tendency for less rainfall, particularly in central and southern regions throughout winter and spring;
# more severe droughts, occurring with increasing frequency;
CO2 Science reviews
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More evidence of worthless model predictions from CO2 Science:
All of the future flow-rates calculated by Steynor et al. exhibited double-digit negative percentage changes that averaged -25% for one global climate model and -50% for another global climate model; and in like manner the mean past trend of four of Lloyd's five stations was also negative (-13%). But the other station had a positive trend (+14.6%). In addition, by "examination of river flows over the past 43 years in the Breede River
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Matt Ridley's article sensibly concludes that the likely outcome is very mild AGW.
So I have concluded that global warming will most probably be a fairly minor problem - at least compared with others such as poverty and habitat loss - for nature as well as people.
After watching the ecologically and economically destructive policies enacted in its name (biofuels, wind power), I think we run the risk of putting a tourniquet around our collective necks to stop a nosebleed.
He suggests the
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A recipe for more reliable climate correlations with solar factors - use long temperature records such as Portugal for 140 years (from 1865 to 2005). Another study showing around half of decadal to centennial variations in temperature can be attributed to Cosmic Ray Flux.
Monthly averaged temperature series have been analyzed together with monthly North-Atlantic Oscillation (NAO) index data, sunspot numbers (W) and cosmic ray (CR) flux intensity. The absolute values of the correlation coefficients
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Another example today of an upper atmosphere trough (note the kink in the isobars and the embedded high in the centre) dragging in tropical moisture at altitude. This is a major source of widespread rains.
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The latest paper by Roy Spencer claiming negative feedback from AGW really has the alarmists choking on their baguettes, so I thought I would try to explain it with an analogy.
Feedbacks represent a secondary effect, but its not that much harder to understand with the following analogy.
Imagine the atmosphere as a bucket. Short-wave solar radiation pours in the top (yellow arrow), some splashes out (orange arrow), and long wave radiation out a hole in the bottom (red arrow). The level
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On the comparisons of Climate Models from Douglass et al here is a table showing how well(?) the CSIRO Mark 3 model performed.
In layers near 5 km, the modelled trend is 100 to 300% higher than observed, and, above 8 km, modelled and observed trends have opposite signs.
The raw data are from http://www.pas.rochester.edu/~douglass/papers/Published%20JOC1651.pdf (2007).
Table II. (a). Temperature trends for 22 CGCM Models with 20CEN forcing. The numbered models are fully identified in Table
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