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Improved Understanding of Past Climatic Variability from Early Daily European Instrumental Sources

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Table of Contents

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    Book Overview
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    Chapter 1 Improved Understanding of Past Climatic Variability from Early Daily European Instrumental Sources
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    Chapter 2 History of the Long Series of Daily Air Temperature in Padova (1725–1998)
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    Chapter 3 Corrections of Systematic Errors and Data Homogenisation in the Daily Temperature Padova Series (1725–1998)
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    Chapter 4 Daily Milan Temperature and Pressure Series (1763–1998): History of the Observations and Data and Metadata Recovery
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    Chapter 5 Daily Milan Temperature and Pressure Series (1763–1998): Completing and Homogenising the Data
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    Chapter 6 Daily Meteorological Observations in Cadiz — San Fernando. Analysis of the Documentary Sources and the Instrumental Data Content (1786–1996)
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    Chapter 7 Daily Air Temperature and Pressure Series for Stockholm (1756–1998)
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    Chapter 8 Daily Air Temperature and Pressure Series for Uppsala (1722–1998)
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    Chapter 9 The Daily Temperature Record for St. Petersburg (1743–1996)
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    Chapter 10 The Long-Term Daily Central Belgium Temperature (CBT) Series (1767–1998) and Early Instrumental Meteorological Observations in Belgium
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    Chapter 11 Calibration and Instrumental Errors in Early Measurements of Air Temperature
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    Chapter 12 Errors in Early Temperature Series Arising from Changes in Style of Measuring Time, Sampling Schedule and Number of Observations
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    Chapter 13 Trends of Extreme Temperatures in Europe and China Based on Daily Observations
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Title
Improved Understanding of Past Climatic Variability from Early Daily European Instrumental Sources
Published by
Springer Netherlands, January 2002
DOI 10.1007/978-94-010-0371-1
ISBNs
978-9-40-103908-6, 978-9-40-100371-1
Editors

Dario Camuffo, Phil Jones

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Student > Ph. D. Student 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Earth and Planetary Sciences 2 40%
Environmental Science 1 20%
Mathematics 1 20%
Engineering 1 20%