Breaking News! Climategate comes to the United States! Meet the two men who have dug through several layers of computer codes to uncover manipulation of the world temperature data to support the claims of global warming. This is a major climate scandal involving United States government agencies.
John Coleman, KUSI Meteorologist
A computer programmer named E. Michael Smith and a Certified Consulting Meteorologist named Joseph D'Aleo join the program to tell us about their breakthrough investigation into the manipulations of data at the NASA Goddard Science and Space Institute at Columbia University in New York and the NOAA National Climate Data Center in Ashville, North Carolina.
I'd like to thank SPPI (Science and Public Policy Institute) for supporting the study by Smith and D'Aleo. A full report will be posted soon on scienceandpublicpolicy.org and icecap.us.
Watch the complete video of Global Warming: The Other Side.
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Reader Comments
Beyond Belief
This is monumental news, or so would you think. I find it hard to believe that this has not been aired on any of the main news channels in the UK, which I follow closely. It was exactly the same in December with East Anglia, next to coverage in the media.
It is incredibly annoying that the powers that be continue to run wild, with their own set of rules doing as they please along the way. While we have to simply put up with it, most of the time oblivious to it due to the lack of mainstream coverage.
It is only by finding sites such as this that you can begin to start putting the pieces of the jigsaw together. Keep it up SOTT, you are doing a fantastic job bringing these subjects to the fore!
This is monumental news, or so would you think. I find it hard to believe that this has not been aired on any of the main news channels in the UK, which I follow closely. It was exactly the same in December with East Anglia, next to coverage in the media.
It is incredibly annoying that the powers that be continue to run wild, with their own set of rules doing as they please along the way. While we have to simply put up with it, most of the time oblivious to it due to the lack of mainstream coverage.
It is only by finding sites such as this that you can begin to start putting the pieces of the jigsaw together. Keep it up SOTT, you are doing a fantastic job bringing these subjects to the fore!
Like spoiled kids in a candy store
Perhaps we can blame it on psychopathic tendencies of genetic addiction, but in the end it doesn't matter how, but why and how it affects all of the rest of us.
Perhaps we can blame it on psychopathic tendencies of genetic addiction, but in the end it doesn't matter how, but why and how it affects all of the rest of us.
I'm a little dubious
There's a difference between removing stations in the climatological record over time and using a different set of stations in the baseline, but keeping the same set of stations in the climatology. Let's say there were 6000 stations in the 1950-1980 mean. As long as the number of stations used in the annual climatology time series remains constant, there's nothing "wrong" with using a baseline that used more stations. Yes, it will show a warmer global average difference if, on average, more stations were eliminated from higher elevations and latitudes, but the year-on-year change in temperature is really what you want to look at.
It's when you're comparing this data set with others stretching further back in time that you need to do a calibration. So, for example, if you have tree ring data going back another 200 years you take the 1950-1980 average tree ring temperature and calibrate it with the station data. Then you adjust all the time series tree ring data by this calibration offset, thus eliminating any perceived warming by the station data.
There's a difference between removing stations in the climatological record over time and using a different set of stations in the baseline, but keeping the same set of stations in the climatology. Let's say there were 6000 stations in the 1950-1980 mean. As long as the number of stations used in the annual climatology time series remains constant, there's nothing "wrong" with using a baseline that used more stations. Yes, it will show a warmer global average difference if, on average, more stations were eliminated from higher elevations and latitudes, but the year-on-year change in temperature is really what you want to look at.
It's when you're comparing this data set with others stretching further back in time that you need to do a calibration. So, for example, if you have tree ring data going back another 200 years you take the 1950-1980 average tree ring temperature and calibrate it with the station data. Then you adjust all the time series tree ring data by this calibration offset, thus eliminating any perceived warming by the station data.
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