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Tellus B: Chemical and Physical Meteorology Volume 56, 2004 - Issue 2
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Original Articles

Optimal determination of the parameters controlling biospheric CO2 fluxes over Europe using eddy covariance fluxes and satellite NDVI measurements

Tuula AaltoFinnish Meteorological Institute, Air Quality Research, Sahaajankatu 20E, 00880 Helsinki, Finland;Correspondence[email protected]
,
Philippe CiaisLaboratoire des Sciences du Climat et de l’Environnement, UMR CEA-CNRS 1572, F-91198 Gif-sur-Yvette cedex, France;
,
Anne ChevillardDPRE/SERGD/LEIRPA, CEA Fontenay-aux-Roses, 18, Rue du Panorama (BP6), 92265Fontenay-aux-Roses, France
&
Cyril MoulinLaboratoire des Sciences du Climat et de l’Environnement, UMR CEA-CNRS 1572, F-91198 Gif-sur-Yvette cedex, France;
Pages 93-104 | Received 17 Jul 2002, Accepted 20 Oct 2003, Published online: 18 Jan 2017

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Yanlian Zhou, Weimin Ju, Xiaomin Sun, Zhongmin Hu, Shijie Han, T. Andrew Black, Rachhpal S. Jassal & Xiaocui Wu. (2014) Close relationship between spectral vegetation indices and Vcmax in deciduous and mixed forests. Tellus B: Chemical and Physical Meteorology 66:1.
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D. P. Turner, W. D. Ritts, J. M. Styles, Z. Yang, W. B. Cohen, B. E. Law & P. E. Thornton. (2006) A diagnostic carbon flux model to monitor the effects of disturbance and interannual variation in climate on regional NEP. Tellus B: Chemical and Physical Meteorology 58:5, pages 476-490.
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Articles from other publishers (8)

Menghui Wang, Sergey Venevsky, Chao Wu, Sergey Berdnikov, Vera Sorokina & Valerii Kulygin. (2020) Description of local carbon flux from large scale gridded climate data by a global dynamic vegetation model at variable time steps: example of Euroflux sites. Science of The Total Environment, pages 143492.
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Zhonghua He, Zhao-Cheng Zeng, Liping Lei, Nian Bie & Shaoyuan Yang. (2017) A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations. Remote Sensing 9:3, pages 251.
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Jarmo Mäkelä, Jouni Susiluoto, Tiina Markkanen, Mika Aurela, Heikki Järvinen, Ivan Mammarella, Stefan Hagemann & Tuula Aalto. (2016) Constraining ecosystem model with adaptive Metropolis algorithm using boreal forest site eddy covariance measurements. Nonlinear Processes in Geophysics 23:6, pages 447-465.
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M. Chen, Q. Zhuang, D. R. Cook, R. Coulter, M. Pekour, R. L. Scott, J. W. Munger & K. Bible. (2011) Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data. Biogeosciences 8:9, pages 2665-2688.
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Manuela Balzarolo, Karen Anderson, Caroline Nichol, Micol Rossini, Loris Vescovo, Nicola Arriga, Georg Wohlfahrt, Jean-Christophe Calvet, Arnaud Carrara, Sofia Cerasoli, Sergio Cogliati, Fabrice Daumard, Lars Eklundh, Jan A. Elbers, Fatih Evrendilek, Rebecca N. Handcock, Jörg Kaduk, Katja Klumpp, Bernard Longdoz, Giorgio Matteucci, Michele Meroni, Lenoardo Montagnani, Jean-Marc Ourcival, Enrique P. Sánchez-Cañete, Jean-Yves Pontailler, Radoslaw Juszczak, Bob Scholes & M. Pilar Martín. (2011) Ground-Based Optical Measurements at European Flux Sites: A Review of Methods, Instruments and Current Controversies. Sensors 11:8, pages 7954-7981.
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M. Chen, Q. Zhuang, D. R. Cook, R. Coulter, M. Pekour, R. L. Scott, J. W. Munger & K. Bible. (2011) Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data. Biogeosciences Discussions 8:2, pages 2721-2773.
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W. Ju, S. Wang, G. Yu, Y. Zhou & H. Wang. (2010) Modeling the impact of drought on canopy carbon and water fluxes for a subtropical evergreen coniferous plantation in southern China through parameter optimization using an ensemble Kalman filter. Biogeosciences 7:3, pages 845-857.
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C. Geels, M. Gloor, P. Ciais, P. Bousquet, P. Peylin, A. T. Vermeulen, R. Dargaville, T. Aalto, J. Brandt, J. H. Christensen, L. M. Frohn, L. Haszpra, U. Karstens, C. Rödenbeck, M. Ramonet, G. Carboni & R. Santaguida. (2007) Comparing atmospheric transport models for future regional inversions over Europe – Part 1: mapping the atmospheric CO<sub>2</sub> signals. Atmospheric Chemistry and Physics 7:13, pages 3461-3479.
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