Climate Observations: Data Quality Control and Time Series Homogenization pulls together the different phases of the production of high-quality climatic datasets, allowing interested readers to obtain a coherent picture on the complexity and importance of this task. There are several new methods of time series homogenization, each very complex and fast developing. The thematic discussion of the production of high quality climatic datasets provides the opportunity to reduce errors, including the careful installation of meteorological instruments, the application of strict observing rules and inspections, and the use of sophistically developed statistical software to detect and remove errors or biases.
This book is intended for professionals working on climate data management at the national meteorological services, for the users of observed climatic data, and for students and researchers studying atmospheric and climate science.
Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.
1. Introduction - p. xi 2. Chapter 1. Land surface observations - p. 1 3. Chapter 2. Upper air observation and remote sensing - p. 31 4. Chapter 3. Data quality control and dataset development - p. 59 5. Chapter 4. Homogenization task and its principal approaches - p. 83 6. Chapter 5. Relative homogenization: The basis - p. 105 7. Chapter 6. Relative homogenization: Optional tools - p. 131 8. Chapter 7. Relative homogenization: Special problems - p. 159 9. Chapter 8. A selection of statistical homogenization methods - p. 191 10. Chapter 9. Accuracy of homogenization results - p. 219 11. Chapter 10. Use of quality controlled and homogenized data - p. 253 12. Appendix: Basic statistical concepts - p. 271 13. Index - p. 285
Climate Observations: Data Quality Control and Time Series Homogenization pulls together the different phases of the production of high-quality climatic datasets, allowing interested readers to obtain a coherent picture on the complexity and importance of this task. There are several new methods of time series homogenization, each very complex and fast developing. The thematic discussion of the production of high quality climatic datasets provides the opportunity to reduce errors, including the careful installation of meteorological instruments, the application of strict observing rules and inspections, and the use of sophistically developed statistical software to detect and remove errors or biases.
This book is intended for professionals working on climate data management at the national meteorological services, for the users of observed climatic data, and for students and researchers studying atmospheric and climate science.
Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.
1. Introduction - p. xi 2. Chapter 1. Land surface observations - p. 1 3. Chapter 2. Upper air observation and remote sensing - p. 31 4. Chapter 3. Data quality control and dataset development - p. 59 5. Chapter 4. Homogenization task and its principal approaches - p. 83 6. Chapter 5. Relative homogenization: The basis - p. 105 7. Chapter 6. Relative homogenization: Optional tools - p. 131 8. Chapter 7. Relative homogenization: Special problems - p. 159 9. Chapter 8. A selection of statistical homogenization methods - p. 191 10. Chapter 9. Accuracy of homogenization results - p. 219 11. Chapter 10. Use of quality controlled and homogenized data - p. 253 12. Appendix: Basic statistical concepts - p. 271 13. Index - p. 285
