Sensational images and stories about variations in Earth's climate and their impacts on society are pervasive in the media. The scientific basis for these stories is often not understood by the general public, nor even by those with a scientific background in fields other than climate science. This book is a comprehensive resource that will enable the reader to understand and appreciate the significance of the flood of climate information. It is an excellent non-mathematical resource for learning the fundamentals of climate analysis, as well as a reference for non-climate experts that need to use climate information and data. The focus is on the basics of the climate system, how climate is observed and how the observations are transformed into datasets useful for monitoring the climate. Each chapter contains Discussion Questions. This is an invaluable textbook on climate analysis for advanced students, and a reference textbook for researchers and practitioners.Read more
- Provides a comprehensive introduction to the entire Earth climate system including the atmosphere, oceans, cryosphere, and land surface components
- Includes guidance on the proper use of climate data, with appropriate information to enable further investigation
- Offers a non-mathematical description of the climate system in the main text with appendices that provide mathematical details of selected topics, and is therefore appropriate for students and other readers without advanced mathematical skills, while also supporting the interests of those with these skills
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- Date Published: January 2019
- format: Hardback
- isbn: 9780521896160
- length: 362 pages
- dimensions: 253 x 168 x 23 mm
- weight: 0.94kg
- contains: 38 b/w illus. 14 maps
- availability: In stock
Table of Contents
Foreword Antonio J. Busalacchi, Jr
List of abbreviations and acronyms
1. Earth's climate system
2. Climate analysis: goals and methods
3. Climate analysis: atmospheric instruments, observations, and datasets
4. Climate variability
5. Climate change
6. Temperature: building climate datasets
7. Precipitation: combining in-situ and remotely-sensed observations in constructing climate datasets
8. Ocean climate datasets
10. Land component of the climate system
11. Climate models as information sources and analysis tools
12. Operational climate monitoring and prediction
Appendix A. A short guide to some statistics used in climate analysis
Appendix B. Vorticity/divergence, stream function/velocity potential
Appendix C. Preliminary examination of the data
Appendix D. Components of the mean water budget
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