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Thomas Reek, Stephen R. Doty, and Timothy W. Owen

It is widely known that the TD3200 (Summary of the Day Cooperative Network) database held by the National Climatic Data Center contains tens of thousands of erroneous daily values resulting from data-entry, data-recording, and data-reformatting errors. TD3200 serves as a major baseline dataset for detecting global climate change. It is of paramount importance to the climate community that these data be as error-free as possible. Many of these errors are systematic in nature. If a deterministic approach is taken, using empirically developed criteria, many if not most of these errors can be corrected or removed. A computer program utilizing Backus Normal Form structure design and a series of chain-linked tests in the form of encoded rules has been developed as a means of modeling the human subjective process of inductive data review. This objective automated correction process has proven extremely effective. A manual review and validation of 138 stations of a 1300-station subset of TD3200 data closely matched the automated correction process. Applications of this technique are expected to be utilized in the production of a nearly error-free TD3200 dataset.

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Michael Crowe, Thomas Reek, and Robert Mattingly

In January 1987 the National Climatic Data Center introduced automated graphics into its Climatological Data publications. The publications, which are produced for each state and distributed to thousands of subscribers monthly, have, in the past, presented data only in a tabular fashion. Graphics afford the opportunity to put the monthly data into historical and areal perspective. An operational scenario of the graphics subsystem is presented. In addition, selected maps of monthly and seasonal precipitation departures from normal, for stations within the National Weather Service's Cooperative Data network, are presented and discussed.

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