نتایج جستجو برای: eddy covariance

تعداد نتایج: 44832  

2009
M. Jung M. Reichstein A. Bondeau

Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model M. Jung, M. Reichstein, and A. Bondeau Max Planck Institute for Biogeochemistry, Jena, Germany Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Received: 7 April 2009 – Accepted: 20 May 2009 – Published: 26 May 2009 Correspondence ...

Journal: :Int. J. Applied Earth Observation and Geoinformation 2013
Lorenzo Brilli Marta Chiesi Fabio Maselli Marco Moriondo Beniamino Gioli Piero Toscano Alessandro Zaldei Marco Bindi

We developed and tested a methodology to estimate olive (Olea europaea L.) gross primary production (GPP) combining ground and multi-sensor satellite data. An eddy-covariance station placed in an olive grove in central Italy provided carbon and water fluxes over two years (2010–2011), which were used as reference to evaluate the performance of a GPP estimation methodology based on a Monteith ty...

2015
M. E. Marushchak

This manuscript presents valuable data on CH4 fluxes from the understudied permafrost region of NE Europe. CH4 fluxes were measured on the plot scale by closed chambers and on the landscape scale by the eddy covariance approach. The combination of these two approaches is a particular strength of this study. Furthermore, the authors present interesting data on stable carbon signatures of pore wa...

Journal: :Ecological applications : a publication of the Ecological Society of America 2010
Edward B Rastetter Mathew Williams Kevin L Griffin Bonnie L Kwiatkowski Gabrielle Tomasky Mark J Potosnak Paul C Stoy Gaius R Shaver Marc Stieglitz John E Hobbie George W Kling

Continuous time-series estimates of net ecosystem carbon exchange (NEE) are routinely made using eddy covariance techniques. Identifying and compensating for errors in the NEE time series can be automated using a signal processing filter like the ensemble Kalman filter (EnKF). The EnKF compares each measurement in the time series to a model prediction and updates the NEE estimate by weighting t...

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