Overview of the Large-Scale Biosphere–Atmosphere Experiment in Amazonia Data Model Intercomparison Project (LBA-DMIP) Academic Article uri icon

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abstract

  • 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.

authors

  • de Gonçalves, Luis Gustavo Gonçalves
  • Borak, Jordan S
  • Costa, Marcos Heil
  • Saleska, Scott R
  • Baker, Ian
  • Restrepo-Coupe, Natalia
  • Muza, Michel Nobre
  • Poulter, Benjamin
  • Verbeeck, Hans
  • Fisher, Joshua B
  • Arain, Muhammad Altaf
  • Arkin, Phillip
  • Cestaro, Bruno P
  • Christoffersen, Bradley
  • Galbraith, David
  • Guan, Xiaodan
  • van den Hurk, Bart JJM
  • Ichii, Kazuhito
  • Imbuzeiro, Hewlley M Acioli
  • Jain, Atul K
  • Levine, Naomi
  • Lu, Chaoqun
  • Miguez-Macho, Gonzalo
  • Roberti, Débora R
  • Sahoo, Alok
  • Sakaguchi, Koichi
  • Schaefer, Kevin
  • Shi, Mingjie
  • Shuttleworth, W James
  • Tian, Hanqin
  • Yang, Zong-Liang
  • Zeng, Xubin

publication date

  • December 2013