B31A:
Advances in Uncertainty Assessment and Reduction for Terrestrial Carbon Cycle Diagnosis and Prediction I


Submit an Abstract to this Session


Session ID#: 59657

Session Description:
Quantifying and reducing uncertainty in diagnosed and modeled carbon fluxes and stocks is a major challenge for the carbon cycle science community. Uncertainty in regional- to global-scale diagnoses limits our ability to test and develop accurate prognostic carbon cycle models, a major source of uncertainty in projections of future climate. However, recent advances in observations, ecosystem experiments, data assimilation techniques, and scientific computing have improved diagnostic and prognostic skill in carbon cycle science. We invite submissions that (1) investigate uncertainty in model forcings, parameters, or structure and the resulting uncertainty in diagnosis and/or predictions; (2) quantify and reduce uncertainty using benchmarking datasets and model-data integration; and (3) document new process understanding, observations, experiments or datasets that will advance this field. We welcome innovative work from all means of studying the terrestrial carbon cycle, including inventory assessments, ecosystem and earth system models, field experiments, remote sensing, and model-data syntheses.
Primary Convener:  Jingfeng Xiao, University of New Hampshire Main Campus, Durham, NH, United States
Conveners:  Kenneth J Davis, Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, Dr. Forrest M Hoffman, PhD, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Stephen M Ogle, Reston, VA, United States
Primary Liaison:  Jingfeng Xiao, University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Earth Systems Research Center, Durham, United States
Chairs:  Jingfeng Xiao, University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Earth Systems Research Center, Durham, United States and Dr. Forrest M Hoffman, PhD, Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States
OSPA Liaison:  Jingfeng Xiao, University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Earth Systems Research Center, Durham, United States
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Flux towers in the sky: how can uncertain measures of NEE, GPP and respiration reduce global carbon cycle process uncertainty? (Invited) (376647)
David Schimel1, A. Anthony Bloom2, Junjie Liu3, Alexandra G Konings4, Sassan Saatchi5 and Kevin W Bowman5, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Stanford University, Earth System Science, Stanford, CA, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, United States
Designing observation networks using Earth System Models to reduce uncertainty in regional carbon fluxes (461995)
Daniel M Ricciuto1, Khachik Sargsyan2, Dan Lu1 and Cosmin Safta3, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Sandia National Laboratories, Albuquerque, NM, United States, (3)Sandia National Laboratories, Livermore, CA, United States
Sources of Uncertainty in Gross Primary Productivity Simulated by Light Use Efficiency Models: Model Structure, Parameters, Input Data, and Spatial Resolution (389083)
Yi Zheng1, Li Zhang2, Jingfeng Xiao3 and Wenping Yuan1, (1)Sun Yat-Sen University, Guangzhou, China, (2)Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (3)University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Earth Systems Research Center, Durham, United States
Edge effects stimulate soil respiration near temperate forest edges (464756)
Ian A Smith1, Lucy Hutyra1, Andrew Reinmann2 and Jonathan Thompson3, (1)Boston University, Earth & Environment, Boston, MA, United States, (2)City University New York, Advanced Science Research Center, New York, United States, (3)Harvard University, Harvard Forest, Cambridge, MA, United States
Quantifying the Impact of Heterotrophic Respiration on Variability in the Global Carbon Dioxide Growth Rate. (402943)
Samantha Basile, University of Michigan Ann Arbor, Ann Arbor, MI, United States, William R Wieder, National Center for Atmospheric Research, CGD, Boulder, CO, United States, Melannie Diane Hartman, Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States and Gretchen Keppel-Aleks, University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, United States
Diagnosis of the Terrestrial Carbon Cycle Using Satellite Data: One Way to Reduce Uncertainty (461069)
Jing Ming Chen, University of Toronto, Department of Geography and Planning, Toronto, ON, Canada, Weimin Ju, Nanjing University, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing, China, Ronggao Liu, IGNSRR, Beijing, China, Yang Liu, Institute of Geographical Science and Natural Resources Research, Beijing, China and Wei He, Nanjing University, Nanjing, China

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