Eddy Covariance A Practical Guide to Measurement and Data Analysis

About this book

This highly practical handbook is an exhaustive treatment of eddy covariance measurement that will be of keen interest to scientists who are not necessarily specialists in micrometeorology. The chapters cover measuring fluxes using eddy covariance technique, from the tower installation and system dimensioning to data collection, correction and analysis. With a state-of-the-art perspective, the authors examine the latest techniques and address the most up-to-date methods for data processing and quality control.

The chapters in Eddy Covariance: A Practical Guide to Measurement and Data Analysis provide answers to data treatment problems including data filtering, footprint analysis, data gap filling, uncertainty evaluation, and flux separation, among others. The authors cover the application of measurement techniques in different ecosystems such as forest, crops, grassland, wetland, lakes and rivers, and urban areas, highlighting peculiarities, specific practices and methods to be considered.

Eddy Covariance: A Practical Guide to Measurement and Data Analysis also covers what to do when you have all your data, summarizing the objectives of a database as well as using case studies of the CarboEurope and FLUXNET databases to demonstrate the way they should be maintained and managed. Policies for data use, exchange and publication are also discussed and proposed. This one compendium is a valuable source of information on eddy covariance measurement that allows readers to make rational and relevant choices in positioning, dimensioning, installing and maintaining an eddy covariance site; collecting, treating, correcting and analyzing eddy covariance data; and scaling up eddy flux measurements to annual scale and evaluating their uncertainty.

Contents

Preface

Chapter 1 : The eddy covariance method
Chapter 2 : Measurement set-up
Chapter 3 : Data Acquisition and Flux Calculations
Chapter 4 : Corrections and data quality control
Chapter 5 : Night time Flux correction
Chapter 6 : Data gap filling
Chapter 7 : Uncertainty quantification
Chapter 8 : Footprint analysis
Chapter 9 : Partitioning of net fluxes
Chapter 10 : Disjunct eddy covariance method
Chapter 11 : Eddy covariance measurements over forests
Chapter 12 : Eddy covariance measurements over crops
Chapter 13 : Eddy covariance measurements over grasslands
Chapter 14 : Eddy covariance measurements over wetlands
Chapter 15 : Eddy covariance measurements over lakes
Chapter 16 : Eddy covariance measurements over urban areas
Chapter 17 : Database maintenance, data sharing policy, collaboration

Customer Reviews