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2013-08-14
Eddy Covariance: A Practical Guide to Measurement and Data Analysis

Marc Aubinet (Editor), Timo Vesala (Editor), Dario Papale (Editor)


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Publication Date: January 18, 2012 | ISBN-10: 9400723504 | ISBN-13: 978-9400723504 | Edition: 2012


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 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. The book 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.



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2013-8-14 06:59:52
感谢提供好资料
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2013-8-14 07:14:03
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2013-8-14 07:32:01
Thanks
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2013-8-14 07:36:21
好书
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2013-8-14 08:01:08
Eddy Covariance_A Practical Guide to Measurement and Data Analysis_Marc Aubinet_2013
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