%0 Journal Article %1 deGoncalves2013Overview %A de Goncalves, Luis G. %A Borak, Jordan S. %A Costa, Marcos H. %A Saleska, Scott R. %A Baker, Ian %A Restrepo-Coupe, Natalia %A Muza, Michel N. %A Poulter, Benjamin %A Verbeeck, Hans %A Fisher, Joshua B. %A Arain, M. Altaf %A Arkin, Phillip %A Cestaro, Bruno P. %A Christoffersen, Bradley %A Galbraith, David %A Guan, Xiaodan %A van den Hurk, Bart J. J. M. %A Ichii, Kazuhito %A Imbuzeiro, Hewlley M. %A Jain, Atul K. %A Levine, Naomi %A Lu, Chaoqun %A Miguez-Macho, Gonzalo %A Roberti, Débora R. %A Sahoo, Alok %A Sakaguchi, Koichi %A Schaefer, Kevin %A Shi, Mingjie %A Shuttleworth, W. James %A Tian, Hanqin %A Yang, Zong-Liang %A Zeng, Xubin %D 2013 %J Agricultural and Forest Meteorology %K brazil euporias %P 111--127 %R 10.1016/j.agrformet.2013.04.030 %T Overview of the Large-Scale Biosphere–Atmosphere Experiment in Amazonia Data Model Intercomparison Project (LBA-DMIP) %U http://dx.doi.org/10.1016/j.agrformet.2013.04.030 %V 182-183 %X Eight observational sites in Amazon were standardized for land surface modeling purposes. A model intercomparison was conducted over the Amazon for understanding of energy, water and carbon exchanges across different tropical ecosystems. Twenty-one parameterizations that model vegetation dynamics, carbon fluxes, energy and water were performed over the Brazilian Amazon. A fundamental question connecting terrestrial ecology and global climate change is the sensitivity of key terrestrial biomes to climatic variability and change. The Amazon region is such a key biome: it contains unparalleled biological diversity, a globally significant store of organic carbon, and it is a potent engine driving global cycles of water and energy. The importance of understanding how land surface dynamics of the Amazon region respond to climatic variability and change is widely appreciated, but despite significant recent advances, large gaps in our understanding remain. Understanding of energy and carbon exchange between terrestrial ecosystems and the atmosphere can be improved through direct observations and experiments, as well as through modeling activities. Land surface/ecosystem models have become important tools for extrapolating local observations and understanding to much larger terrestrial regions. They are also valuable tools to test hypothesis on ecosystem functioning. Funded by NASA under the auspices of the LBA (the Large-Scale Biosphere–Atmosphere Experiment in Amazonia), the LBA Data Model Intercomparison Project (LBA-DMIP) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function. Here an overview of this project is presented accompanied by a description of the measurement sites, data, models and protocol.

@article{deGoncalves2013Overview, abstract = { Eight observational sites in Amazon were standardized for land surface modeling purposes. A model intercomparison was conducted over the Amazon for understanding of energy, water and carbon exchanges across different tropical ecosystems. Twenty-one parameterizations that model vegetation dynamics, carbon fluxes, energy and water were performed over the Brazilian Amazon. A fundamental question connecting terrestrial ecology and global climate change is the sensitivity of key terrestrial biomes to climatic variability and change. The Amazon region is such a key biome: it contains unparalleled biological diversity, a globally significant store of organic carbon, and it is a potent engine driving global cycles of water and energy. The importance of understanding how land surface dynamics of the Amazon region respond to climatic variability and change is widely appreciated, but despite significant recent advances, large gaps in our understanding remain. Understanding of energy and carbon exchange between terrestrial ecosystems and the atmosphere can be improved through direct observations and experiments, as well as through modeling activities. Land surface/ecosystem models have become important tools for extrapolating local observations and understanding to much larger terrestrial regions. They are also valuable tools to test hypothesis on ecosystem functioning. Funded by {NASA} under the auspices of the {LBA} (the {Large-Scale} {Biosphere–Atmosphere} Experiment in Amazonia), the {LBA} Data Model Intercomparison Project ({LBA}-{DMIP}) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function. Here an overview of this project is presented accompanied by a description of the measurement sites, data, models and protocol.}, added-at = {2019-08-14T18:35:35.000+0200}, author = {de Gon\c{c}alves, Luis G. and Borak, Jordan S. and Costa, Marcos H. and Saleska, Scott R. and Baker, Ian and Restrepo-Coupe, Natalia and Muza, Michel N. and Poulter, Benjamin and Verbeeck, Hans and Fisher, Joshua B. and Arain, M. Altaf and Arkin, Phillip and Cestaro, Bruno P. and Christoffersen, Bradley and Galbraith, David and Guan, Xiaodan and van den Hurk, Bart J. J. M. and Ichii, Kazuhito and Imbuzeiro, Hewlley M. and Jain, Atul K. and Levine, Naomi and Lu, Chaoqun and Miguez-Macho, Gonzalo and Roberti, D\'{e}bora R. and Sahoo, Alok and Sakaguchi, Koichi and Schaefer, Kevin and Shi, Mingjie and Shuttleworth, W. James and Tian, Hanqin and Yang, Zong-Liang and Zeng, Xubin}, biburl = {https://www.bibsonomy.org/bibtex/2fa790a8c3d90ea72e9390c980ffc3db1/karinawilliams}, citeulike-article-id = {14368155}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.agrformet.2013.04.030}, comment = {(private-note)http://digitalcommons.unl.edu/nasapub/133}, doi = {10.1016/j.agrformet.2013.04.030}, interhash = {4c4b58290bd4f6fad441f944b12626a9}, intrahash = {fa790a8c3d90ea72e9390c980ffc3db1}, issn = {01681923}, journal = {Agricultural and Forest Meteorology}, keywords = {brazil euporias}, month = dec, pages = {111--127}, posted-at = {2017-06-05 13:46:20}, priority = {2}, timestamp = {2019-08-14T18:35:35.000+0200}, title = {Overview of the {Large-Scale} {Biosphere–Atmosphere} Experiment in Amazonia Data Model Intercomparison Project ({LBA}-{DMIP})}, url = {http://dx.doi.org/10.1016/j.agrformet.2013.04.030}, volume = {182-183}, year = 2013 }