منابع مشابه
Constraining ecosystem model with Adaptive Metropolis algorithm using boreal forest site eddy covariance measurements
We examined parameter optimization in JSBACH ecosystem model, applied for two boreal forest sites (Hyytiälä and Sodankylä) in Finland. We identified and tested key parameters in soil hydrology and forest water and carbon exchange related formulations and optimized them using the Adaptive Metropolis algorithm (AM) for Hyytiälä with a five year calibration period (2000–2004) followed by a four ye...
متن کاملSSA of eddy covariance data
Characterizing ecosystem-atmosphere interactions from short to interannual time scales M. D. Mahecha, M. Reichstein, H. Lange, N. Carvalhais, C. Bernhofer, T. Grünwald, D. Papale, and G. Seufert Max-Planck-Institute for Biogeochemistry, Jena, Germany Norwegian Forest and Landscape Institute, Ås, Norway Environmental System Analysis Group, New University of Lisbon, Portugal Deptartment of Meteor...
متن کاملSub-tropical seagrass ecosystem metabolism measured by eddy covariance
The metabolism of seagrass ecosystems was examined at 4 sites in south Florida, USA, using the eddy covariance technique under in situ conditions. Three sites were located across a phosphorus-driven productivity gradient to examine the combined effects of dynamic variables (irradiance, flow velocity) and state variables (sediment phosphorus and organic content, seagrass biomass) on ecosystem me...
متن کاملThe REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data
Fox, A., Willaims, M., Richardson, A. D., Cameron, D., Gove, J. H., Quaife, T., Ricciuto, D., Reichstein, M., Tomelleri, E., Trudinger, C. M. and Van Wijk, M. T. (2009) The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data. Agricultural and Forest Meteorology, 149 (10). pp. 1597-1615. ISSN 0168-1923...
متن کاملGlobal Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations
Gross Primary Production (GPP) is the largest flux in the global carbon cycle. However, large uncertainties in current global estimations persist. In this study, we examined the performance of a process-based model (Integrated BIosphere Simulator, IBIS) at 62 eddy covariance sites around the world. Our results indicated that the IBIS model explained 60% of the observed variation in daily GPP at...
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ژورنال
عنوان ژورنال: Biogeosciences
سال: 2012
ISSN: 1726-4189
DOI: 10.5194/bg-9-3757-2012