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Retrieval and validation of forest background reflectivity from daily Moderate ...
Pisek, Jan; Erb, Angela; Korhonen, Lauri; Biermann, Tobias; Carrara, Arnaud; Cremonese, Edoardo; Cuntz, Matthias; Fares, Silvano; Gerosa, GiacomoInformation about forest background reflectance is needed for accurate biophysical parameter retrieval from forest canopies (overstory) with remote sensing. Separating under- and overstory signals would enable more accurate modeling of forest carbon and energy fluxes. We retrieved values of the normalized difference vegetation index (NDVI) of the forest understory with the multi-angular Moderate Resolution Imag...
Retrieval and validation of forest background reflectivity from daily Moderate ...
Pisek, Jan; Erb, Angela; Korhonen, Lauri; Biermann, Tobias; Carrara, Arnaud; Cremonese, Edoardo; Cuntz, Matthias; Fares, Silvano; Gerosa, GiacomoInformation about forest background reflectance is needed for accurate biophysical parameter retrieval from forest canopies (overstory) with remote sensing. Separating under- and overstory signals would enable more accurate modeling of forest carbon and energy fluxes. We retrieved values of the normalized difference vegetation index (NDVI) of the forest understory with the multi-angular Moderate Resolution Imag...
Climate control of terrestrial carbon exchange across biomes and continents
Yi, Chuixiang; Li, Runze; Wolbeck, John; Xu, Xiyan; Nilsson, Mats B.; Aires, Luis Miguel Igreja; Albertson, John D.; Ammann, ChristophUnderstanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate-carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2exchange with the atmosphere across biomes and continents are lacking. Here we present ...
Biosphere-atmosphere exchange of CO2 in relation to climate: A cross-biome anal...
Stoy, Paul C.; Richardson, Andrew D.; Baldocchi, Dennis D.; Katul, Gabriel George; Stanovick, John S.; Mahecha, Miguel D.; Reichstein, MarkusThe net ecosystem exchange of CO2 (NEE) varies at time scales from seconds to years and longer via the response of its components, gross ecosystem productivity (GEP) and ecosystem respiration (RE), to physical and biological drivers. Quantifying the relationship between flux and climate at multiple time scales is necessary for a comprehensive understanding of the role of climate in the terrestrial carbon cycle....
Climate control of terrestrial carbon exchange across biomes and continents
Yi, Chuixiang; Ricciuto, Daniel; Li, Runze; Wolbeck, John; Xu, Xiyan; Nilsson, Mats; Aires, Luis; Albertson, John D.; Ammann, Christof; Arain, M. AltafUnderstanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate-carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2exchange with the atmosphere across biomes and continents are lacking. Here we present ...
Climate control of terrestrial carbon exchange across biomes and continents
Yi, Chuixiang; Ricciuto, Daniel; Li, Runze; Wolbeck, John; Xu, Xiyan; Nilsson, Mats; Aires, Luis; Albertson, John D.; Ammann, Christof; Arain, M. AltafUnderstanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate–carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2 exchange with the atmosphere across biomes and continents are lacking. Here we present...
Implications of carbon cycle steady state assumption for biogeochemical modelin...
Carvalhais, Nuno; Reichstein, Markus; Seixas, Júlia; Collatz, G.James; Pereira, João Santos; Berbigier, Paul; Carrara, Arnaud; Granier, AndréWe analyze the impacts of the steady state assumption on inverse model parameter retrieval from biogeochemical models. An inverse model parameterization study using eddy covariance CO2 flux data was performed with the Carnegie Ames Stanford Approach (CASA) model under conditions of strict and relaxed carbon cycle steady state assumption (CCSSA) in order to evaluate both the robustness of the model’s structure f...