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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This volume reports the data and the metadata of the seven longest European series of temperature and pressure observations, dating back to the 18th century. Data is reported in daily resolution that is fundamental for high frequency climate variability and extreme events analysis. The book includes a CD-ROM that contains the data, providing a unique opportunity to study climate change starting prior to the period of the industrial era. The observational errors of early and modern instruments are discussed in order to apply these results to other case studies, so as to correct errors and inhomogeneities in the long series.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This volume reports the data and the metadata of the seven longest European series of temperature and pressure observations, dating back to the 18th century. Data is reported in daily resolution that is fundamental for high frequency climate variability and extreme events analysis. The book includes a CD-ROM that contains the data, providing a unique opportunity to study climate change starting prior to the period of the industrial era. The observational errors of early and modern instruments are discussed in order to apply these results to other case studies, so as to correct errors and inhomogeneities in the long series.