Whether sudden or gradual, these changes can introduce inhomogeneities into the long-term temperature time series that distort or even hide the true climatic signal. Uneven spatial sampling because of irregular geographical distribution of weather stations also contaminates the temperature record.
The best-documented example of data contamination is the UHI effect in which data from urban stations are influenced by localised warming because of asphalt and concrete replacing grass and trees. There is a proven close correlation of city population size with urban heating influence on air temperature, which can account for an urban area being as much as 12C warmer than its rural surroundings. Many studies by climatologists have demonstrated that very small changes in population are enough to induce a statistically significant local warming.
The science of climate change depends entirely on reliable data, quality controlled and homogenised rigorously. Adjusting the data to achieve the reliability required is difficult and controversial. There are other problems.
Temperature trends detected are small, usually just a few tenths of one degree Celsius over 100 years, a rate that is exceeded by the data's standard error. Statistically this means the trend is indistinguishable from zero. Moreover, trends and temperature differences justified to one or two decimal places and significant figures are unreliable since the amounts are greater than the accuracy of the data allows, and multiple averaging of measurements does not make it more reliable.
Climate services of various countries provide clients with statistical information on climatic variables that is based on long-term observations at a collection of different weather stations. The importance of this statistical material stems from their widespread use as a major input for a large number of societal design and planning purposes, including setting greenhouse gas emissions policy and the economic consequences that follow. For these reasons it is important that climate services deliver the best estimates possible.
The NZCSET's lawyer summed it up when he told the court the trust was not asserting climate warming did not exist, "we're saying let's at least make sure that evidence of this for New Zealanders is accurate".
Despite the research work undertaken so far, there have been few attempts globally to reassess quantitatively the nature and reliability of homogeneity adjustments to complete national data sets. The High Court case highlights the situation in New Zealand where there have been no peer-reviewed science-based efforts to do this. A court ruling is no substitute.
Argument from authority has no place in science. This was the basis of NZCSET's case. Argument on the scientific facts and methods used in analyses must now take place. The question is: will it?
* Chris de Freitas is an associate professor in the School of Environment at the University of Auckland.
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