Overview of the large-scale biosphere-atmosphere experiment in amazonia data model intercomparison project (LBA-DMIP)

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

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)111-127
Number of pages17
JournalAgricultural and Forest Meteorology
StatePublished - Dec 15 2013


  • Amazonia
  • Energy, water and carbon budget
  • Land surface modeling
  • Model intercomparison

ASJC Scopus subject areas

  • Forestry
  • Agronomy and Crop Science
  • Global and Planetary Change
  • Atmospheric Science


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