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12 <br /> like to provide an"external but insider" assessment and perspective. My perspective is as <br /> a climate researcher that is not involved directly in any of the controversies and issues in <br /> the purloined HADCRU emails, but as one that is familiar with this research, the <br /> surrounding controversies, and many of the individuals who sent these emails. While the <br /> blogosphere has identified many emails that allegedly indicate malfeasance, clarifications <br /> especially from Gavin Schmidt have been very helpful in providing explanations and the <br /> appropriate context for these emails. However, even if the hacked emails from HADCRU <br /> end up to be much ado about nothing in the context of any actual misfeasance that <br /> impacts the climate data records, the damage to the public credibility of climate <br /> research is likely to be significant. In my opinion,there are two broader issues <br /> raised by these emails that are impeding the public credibility of climate research: <br /> lack of transparency in climate data, and "tribalism"in some segments of the <br /> climate research community that is impeding peer review and the assessment <br /> process. <br /> 1. Transparency. Climate data needs to be publicly available and well documented. This <br /> includes metadata that explains how the data were treated and manipulated, what <br /> assumptions were made in assembling the data sets, and what data was omitted and why. <br /> This would seem to be an obvious and simple requirement, but the need for such <br /> transparency has only been voiced recently as the policy relevance of climate data has <br /> increased. The HADCRU surface climate dataset and the paleoclimate dataset that has <br /> gone into the various "hockeystick" analyses stand out as lacking such transparency. <br /> Much of the paleoclimate data and metadata has become available only because of <br /> continued public pressure from Steve McIntyre. Datasets that were processed and <br /> developed decades ago and that are now regarded as essential elements of the climate <br /> data record often contain elements whose raw data or metadata were not preserved (this <br /> appears to be the case with HADCRUT). The HADCRU surface climate dataset needs <br /> public documentation that details the time period and location of individual station <br /> measurements used in the data set, statistical adjustments to the data, how the data were <br /> analyzed to produce the climatology, and what measurements were omitted and why. If <br /> these data and metadata are unavailable, I would argue that the data set needs to be <br /> reprocessed(presumably the original raw data is available from the original sources). <br /> Climate data sets should be regularly reprocessed as new data becomes available and <br /> analysis methods improve. There are a number of aspects of the surface climate record <br /> that need to be understood better. For example, the surface temperature bump ca. 1940 <br /> needs to be sorted out, and I am personally lacking confidence in how this period is being <br /> treated in the HADCRUT analysis. In summary, given the growing policy relevance of <br /> climate data, increasingly higher standards must be applied to the transparency and <br /> availability of climate data and metadata. These standards should be clarified, applied and <br /> enforced by the relevant national funding agencies and professional societies that publish <br /> scientific journals. <br /> 2. Climate tribalism. Tribalism is defined here as a strong identity that separates one's <br /> group from members of another group, characterized by strong in-group loyalty and <br /> regarding other groups differing from the tribe's defining characteristics as inferior. In <br /> the context of scientific research, tribes differ from groups of colleagues that collaborate <br /> and otherwise associate with each other professionally. As a result of the politicization of <br /> climate science, climate tribes (consisting of a small number of climate researchers)were <br />