This book, "Eddy Covariance: A Practical Guide to Measurement and Data Analysis," is a comprehensive resource for practitioners and researchers in the field of eddy covariance measurements. It was edited by Marc Aubinet, Timo Vesala, and Dario Papale, and published by Springer Atmospheric Sciences. The book aims to provide a standardized and updated guide to the theoretical and practical aspects of eddy covariance measurements, from site installation to data analysis. The content is structured into 17 chapters, covering various aspects of eddy covariance methods and applications. Key topics include: 1. **Theoretical Foundations**: Chapters 1 and 2 provide an overview of the theoretical basis and technical requirements for eddy covariance setups, including tower design, sensor placement, and calibration. 2. **Data Acquisition and Flux Calculations**: Chapter 3 discusses the general procedure for obtaining "uncorrected" fluxes and the pros and cons of different computation methods. 3. **Corrections and Data Quality Control**: Chapter 4 focuses on various corrections necessary to improve the quality of flux data and the methods for data quality analysis. 4. **Nighttime Flux Correction**: Chapter 5 addresses the issue of underestimation of nighttime fluxes and proposes screening and correction procedures. 5. **Data Gap Filling**: Chapter 6 explains when and how to perform data gap filling and compares different methods. 6. **Uncertainty Quantification**: Chapter 7 identifies and quantifies the uncertainties in flux measurements and how they combine during scaling up. 7. **Footprint Analysis**: Chapter 8 describes footprint models and their application in identifying sources and sinks of fluxes. 8. **Partitioning of Net Fluxes**: Chapter 9 presents methods for partitioning net fluxes into ecosystem respiration and gross ecosystem photosynthesis. 9. **Disjunct Eddy Covariance Method**: Chapter 10 discusses the disjunct eddy covariance technique, which is useful for capturing tracer gases. 10. **Specific Ecosystems**: Chapters 11-16 cover specific ecosystems such as forests, grasslands, croplands, wetlands, lakes, and urban environments, providing detailed guidelines for measurements and data analysis in these contexts. 11. **Database Maintenance and Data Sharing**: Chapter 17 addresses the importance of maintaining and managing databases, along with policies for data sharing and publication. The book is a valuable resource for both beginners and experienced researchers in the field of eddy covariance, offering a wealth of practical information and insights.This book, "Eddy Covariance: A Practical Guide to Measurement and Data Analysis," is a comprehensive resource for practitioners and researchers in the field of eddy covariance measurements. It was edited by Marc Aubinet, Timo Vesala, and Dario Papale, and published by Springer Atmospheric Sciences. The book aims to provide a standardized and updated guide to the theoretical and practical aspects of eddy covariance measurements, from site installation to data analysis. The content is structured into 17 chapters, covering various aspects of eddy covariance methods and applications. Key topics include: 1. **Theoretical Foundations**: Chapters 1 and 2 provide an overview of the theoretical basis and technical requirements for eddy covariance setups, including tower design, sensor placement, and calibration. 2. **Data Acquisition and Flux Calculations**: Chapter 3 discusses the general procedure for obtaining "uncorrected" fluxes and the pros and cons of different computation methods. 3. **Corrections and Data Quality Control**: Chapter 4 focuses on various corrections necessary to improve the quality of flux data and the methods for data quality analysis. 4. **Nighttime Flux Correction**: Chapter 5 addresses the issue of underestimation of nighttime fluxes and proposes screening and correction procedures. 5. **Data Gap Filling**: Chapter 6 explains when and how to perform data gap filling and compares different methods. 6. **Uncertainty Quantification**: Chapter 7 identifies and quantifies the uncertainties in flux measurements and how they combine during scaling up. 7. **Footprint Analysis**: Chapter 8 describes footprint models and their application in identifying sources and sinks of fluxes. 8. **Partitioning of Net Fluxes**: Chapter 9 presents methods for partitioning net fluxes into ecosystem respiration and gross ecosystem photosynthesis. 9. **Disjunct Eddy Covariance Method**: Chapter 10 discusses the disjunct eddy covariance technique, which is useful for capturing tracer gases. 10. **Specific Ecosystems**: Chapters 11-16 cover specific ecosystems such as forests, grasslands, croplands, wetlands, lakes, and urban environments, providing detailed guidelines for measurements and data analysis in these contexts. 11. **Database Maintenance and Data Sharing**: Chapter 17 addresses the importance of maintaining and managing databases, along with policies for data sharing and publication. The book is a valuable resource for both beginners and experienced researchers in the field of eddy covariance, offering a wealth of practical information and insights.