Papers and Publications

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Munger, J. W., Loescher, H. W. & Luo, H. The Eddy Covariance Handbook, Eds. M. Aubinet, T. Vesala, D. Papale. 22-53 (Springer Verlag Pub, 2012).
Metzger, S. Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations. Agricultural and Forest Meteorology (2017). doi:10.1016/j.agrformet.2017.08.037
Metzger, S. et al. eddy4R: A community-extensible processing, analysis and modeling framework for eddy-covariance data based on R, Git, Docker and HDF5. Geoscientific Model Development Discussions 1 - 26 (2017). doi:10.5194/gmd-2016-318
Metzger, S. et al. eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5. Geoscientific Model Development 10, 3189 - 3206 (2017).
Metzger, S. et al. Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H2O and CO2. Atmospheric Measurement Techniques 9, 1341 - 1359 (2016).
Metzger, S. et al. Optimization of a gas sampling system for measuring eddy-covariance fluxes of H2O and CO2. Atmospheric Measurement Techniques Discussions 8, 10983 - 11028 (2015).
McNeil, J. & Jones, M. A. Data Management using National Ecological Observatory Network’s (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis. Teaching Issues and Experiments in Ecology 13, (2018).
Mayor, S. J. et al. Increasing phenological asynchrony between spring green-up and arrival of migratory birds. Scientific Reports 7, (2017).
Mahecha, M. D. et al. Detecting impacts of extreme events with ecological in-situ monitoring networks. Biogeosciences Discussions (2017). doi:10.5194/bg-2017-130
Mahecha, M. D. et al. Detecting impacts of extreme events with ecological in situ monitoring networks. Biogeosciences 14, 4255 - 4277 (2017).
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