B11J:
Quantifying Uncertainties and Merging Observations, Experiments, and Models for Improving Estimation, Mapping, and Forecasting of Terrestrial Ecosystem Dynamics I

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Session ID#: 15452

Session Description:
Terrestrial Biosphere Models (TBMs) are crucial tools in global carbon cycle studies, but the ecosystem processes they represent are many and complex, therefore being among the greatest uncertainty sources in future climate projections. Evaluating and improving these important TBM processes requires both data from ecosystem scale experiments (e.g. CO2 and temperature manipulation) and specific statistical methods to incorporate that data into the models (e.g. Bayesian data assimilation). Both of these aspects are important and can rarely be separated from each other as the experimental data determines the appropriate mathematical approach.

This session focuses on novel insights into TBM processes gained from both experimentals and the numerical techniques used to assimilate the data in to the models. We encourage submissions that address the challenge of improving model representation of ecosystems through both experimental data and advanced numerical methods, although studies focusing on just experiments or mathematical methods are also welcomed.

Primary Convener:  Cove Sturtevant, National Ecological Observatory Network, Battelle, Boulder, United States
Conveners:  Toni Viskari1, John L Campbell2 and Michael Dietze1, (1)Boston University, Boston, MA, United States(2)US Forest Service, Northern Research Station, Durham, United States
Chairs:  Toni Viskari, Boston University, Boston, MA, United States, Ankur R Desai, University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, Ruth D. Yanai, SUNY College of Environmental Science and Forestry, Syracuse, NY, United States and Chabbi Abad, INRA Institut National de la Recherche Agronomique, Paris Cedex 07, France
OSPA Liaison:  Cove Sturtevant, National Ecological Observatory Network, Battelle, Boulder, United States
Index Terms:

0430 Computational methods and data processing [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0452 Instruments and techniques [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Why Quantify Uncertainty in Ecosystem Studies: Obligation versus Discovery Tool? (Invited) (163456)
Mark E. Harmon, Oregon State University, Corvallis, OR, United States
High-Resolution Precipitation Mapping in a Mountainous Watershed: Ground Truth for Evaluating Uncertainty in a National Precipitation Dataset (Invited) (125688)
Christopher Daly1, Melissa E. Slater2, Joshua A Roberti2, Stephanie H. Laseter3 and Lloyd W. Swift3, (1)PRISM Climate Group, College of Engineering, Oregon State University, Corvallis, United States, (2)National Ecological Observatory Network, Boulder, CO, United States, (3)Coweeta Hydrologic Laboratory, USDA Forest Service, Otto, NC, United States
What if the Hubbard Brook weirs had been built somewhere else? Spatial uncertainty in the application of catchment budgets (177811)
Scott W Bailey, US Forest Service Durham, Northern Research Station, Durham, NH, United States
Investigating the Interdependencies of the Energy Balance Closure and the Turbulent Kinetic Energy Budget. (156087)
Tirtha Banerjee1, Matthias J Zeeman2, Frederik De Roo3, Peter Brugger3 and Matthias Mauder4, (1)Karlsruhe Institute of Technology, Karlsruhe, Germany, (2)Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany, (3)Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany, (4)Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
Bridging the Gap from Leaf to Ecosystem Photosynthesis Using Chlorophyll Fluorescence (156040)
Eugenie Paul-Limoges1, Andreas Hueni2, Alexander Damm3, Frank Liebisch1, Michael E Schaepman4, Werner Eugster1 and Nina C Buchmann1, (1)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (2)University of Zurich, Zurich, Switzerland, (3)Remote Sensing Laboratories, University of Zurich, Geography, Zurich, Switzerland, (4)University of Zurich, Department of Geography, Remote Sensing Laboratories, Zurich, Switzerland
Drought-Net: A global network merging observations, experiments, and modeling to forecast terrestrial ecosystem sensitivity to drought (Invited) (164219)
Melinda Dianne Smith1, Kevin Wilcox2, Osvaldo Sala3, Richard P Phillips4, Yiqi Luo5, Alan Knapp1 and Nathan P Lemoine6, (1)Colorado State University, Department of Biology and Graduate Degree Program in Ecology, Fort Collins, United States, (2)University of Oklahoma, Department of Microbiology and Plant Biology, Norman, OK, United States, (3)Organization Not Listed, Washington, DC, United States, (4)Indiana University Bloomington, Department of Biology, Bloomington, IN, United States, (5)University of Oklahoma Norman Campus, Norman, OK, United States, (6)Colorado State University, Biology, Ft. Collins, CO, United States
Emerging Challenges for Flux Mapping as a Tool for Multi-Observational Quantification of Regional Greenhouse Gases Fluxes (Invited) (173567)
Kenneth J Davis, Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States
Understanding the Representativeness of FLUXNET for Upscaling Carbon Flux from Eddy Covariance Measurements (178443)
Jitendra Kumar1, Dr. Forrest M Hoffman, PhD1, William Walter Hargrove2 and Nathan Collier3, (1)Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States, (2)USDA Forest Service Southern Research Station, Eastern Forest Environmental Threat Assessment Center, Hot Springs National, AR, United States, (3)Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States

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