B41J:
Advances in Uncertainty Assessment and Reduction for Terrestrial Carbon Cycle Diagnosis and Prediction II Posters


Submit an Abstract to this Session


Session ID#: 43700

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:  Kenneth J Davis, Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States and Stephen M Ogle, Reston, VA, 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:

An assessment of global photosynthesis using multiple remote sensing-based models (468255)
Xiangzhong Luo, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States and Prof. Trevor F Keenan, Lawrence Berkeley National Laboratory, Berkeley, United States
Estimation of Plot-level Soil Carbon Stocks in China’s Forests Using Intensive Soil Sampling (405957)
Shangshi Liu1, Haihua Shen2, Xia Zhao3, Luhong Zhou3, Longchao Xu4, Aijun Xing3 and Jingyun Fang3, (1)Chinese Academy of Sciences, Beijing, China, (2)IB Institute of Botany, Chinese Academy of Science, Beijing, China, (3)IB Institute of Botany, Chinese Academy of Sciences, Beijing, China, (4)Institute of botany,chines academy of sciences, Beijing, China
Phosphorus availability mediates leaf litter decomposition in a temperate forest (351449)
Jared L DeForest, Ohio University, Environmental and Plant Biology, Athens, OH, United States
Big-data-big-model Fusion to Improve Prediction of Global Soil Carbon Dynamics with Earth System Model (376605)
Feng Tao, Tsinghua University, Department of Earth System Science, Beijing, China, Yiqi Luo, Cornell University, School of Integrative Plant Science, Ithaca, United States, Yuanyuan Huang, LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, Zhenghu Zhou, Northeast Forestry University, Harbin, China and Xingjie Lu, Sun Yat-sen University, School of Atmospheric Sciences, Guangzhou, China
Effects of Timing of Soil Moisture Deficits on Carbon and Water Fluxes in a Semiarid Shrubland Ecosystem in Northwest China (377533)
Tianshan Zha, Beijing Forestry University, Yanchi Research Station, School of Soil and Water Conservation, Beijing, China
Reducing Uncertainty in Global Carbon Fluxes from the Community Land Model Through Assimilating Remotely-Sensed Land Surface Properties (397238)
Andrew M Fox, NASA Goddard Space Flight Center, Greenbelt, United States, Timothy J Hoar, Natl Ctr Atmospheric Res, Boulder, CO, United States, Jeffrey L Anderson, NCAR, Boulder, United States, William Kolby Smith, University of Arizona, Tucson, AZ, United States, David Schimel, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Improving biospheric models of net ecosystem exchange in the eastern U.S. to inform top-down anthropogenic CO2 emission estimates during the growing season in the DC/ Baltimore metropolitan area (419145)
Sharon Gourdji1, Israel Lopez-Coto2, Subhomoy Ghosh1, Kimberly Mueller3, Anna Karion4, Shaun T Howe5, Ning Zeng6, Thomas Lauvaux7, Kai Wu8, Christopher A Williams9, Klaus Keller10, Dr. Yu Zhou11, Sha Feng12, Kenneth J Davis13 and James R Whetstone1, (1)National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States, (2)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, United States, (3)NIST, Gaithersburg, United States, (4)National Institute of Standards and Technology, Gaithersburg, United States, (5)University of Maryland College Park, Atmospheric and Oceanic Science, College Park, MD, United States, (6)University of Maryland, College Park, MD, United States, (7)Pennsylvania State University Main Campus, Department of Meteorology and Atmospheric Science, University Park, United States, (8)University of Edinburgh, Edinburgh, United Kingdom, (9)Clark University, Worcester, United States, (10)Dartmouth College, Thayer School of Engineering, Hanover, United States, (11)Cornell University, School of Integrative Plant Science, Ithaca, NY, United States, (12)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (13)Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States
Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes (426102)
Jingfeng Xiao, University of New Hampshire Main Campus, Durham, NH, United States, Yibo Liu, NUIST Nanjing University of Information Science and Technology, Nanjing, China and Weimin Ju, Nanjing University, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing, China
A multi-year gridded data product of surface biogenic carbon fluxes for North America: Evaluation and analysis of results (437257)
Dr. Yu Zhou, Clark University, Graduate School of Geography, Worcester, United States, Christopher A Williams, Clark University, Worcester, United States, Thomas Lauvaux, Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States, Sha Feng, Pacific Northwest National Laboratory, Richland, United States, Klaus Keller, Dartmouth College, Thayer School of Engineering, Hanover, United States and Kenneth J Davis, Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States
Evaluating Modeled Terrestrial Carbon Cycles in Earth System Models and Offline Models Using Multiple Observation-based Estimates (452184)
Kazuhito Ichii, Chiba University, Center for Environmental Remote Sensing (CEReS), Chiba, Japan, Kazutaka Murakami, Natl Inst for Environmental Studies, Tsukuba, Japan, Hiroaki Takayama, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, Tomohiro Hajima, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Research Center for Environmental Modeling and Application, Yokohama, Japan, Masayuki Kondo, Chiba University, Chiba, Japan and Kaoru Tachiiri, Japan Agency for Marine-Earth, Yokohama, Japan
Towards the Estimation of Biospheric Contributions to the Regional Carbon Cycle in the Eastern United States Using a Dynamic Global Vegetation Model (454640)
Shaun T Howe1, Ning Zeng2, Cory Martin3, Sharon Gourdji4, Israel Lopez-Coto5, Russell R Dickerson6, Ross J Salawitch7 and James R Whetstone4, (1)University of Maryland College Park, Atmospheric and Oceanic Science, College Park, MD, United States, (2)University of Maryland, Department of Atmospheric and Oceanic Science, College Park, China, (3)University of Maryland College Park, College Park, MD, United States, (4)National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States, (5)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, United States, (6)University of Maryland, Department of Atmospheric and Oceanic Science, College Park, United States, (7)University of Maryland College Park, Department of Chemistry and Biochemistry, College Park, United States
Heterotrophic respiration and the divergence of productivity and carbon sequestration (454913)
Asko Noormets1, Rosvel G Bracho2, John Seiler3, Brian D Strahm4, Wen Lin5, Kristin McElligott3, Robert Brown6, Jean-Christophe Domec7, Eric J Jokela8, Daniel Markewitz9, Steven McNulty10, Bhaskar Mitra11, John S King12, Timothy Martin13, Lisa J Samuelson14, Ge Sun15, Robert O Teskey6, Jason Vogel16 and Rodney Will17, (1)Texas A&M University College Station, College Station, TX, United States, (2)University of Florida, School of Forest Resources and Conservation, Ft Walton Beach, FL, United States, (3)Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, (4)Virginia Tech, Forest Resources and Environmental Conservation, Blacksburg, VA, United States, (5)Shenzhen University, Centre for Environmental Plant Sciences, Shenzhen, Guangdong, China, (6)University of Georgia, Athens, GA, United States, (7)Bordeaux Sciences Agro, UMR 1391 INRA-ISPA, Gradignan, France, (8)University of Florida, School of Forest Resources and Conservation, Gainesville, FL, United States, (9)University of Georgia, Warnell School of Forestry and Natural Resources, Athens, GA, United States, (10)USDA Forest Svc, Eastern Forest Environmental Threat Assessment Center, Raleigh, NC, United States, (11)Texas A&M University, Department of Ecosystem Science and Management, College Station, TX, United States, (12)North Carolina State University, Department of Forestry and Environmental Resources, Raleigh, United States, (13)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainesville, United States, (14)Auburn University, School of Forestry and Wildlife Sciences, Auburn, AL, United States, (15)USDA Forest Svc, Southern Research Station, Raleigh, NC, United States, (16)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (17)Oklahoma State University, Natural Resource Ecology and Management, Stillwater, OK, United States
Synergistic multifrequency constraints on terrestrial carbon and water processes through present-day and anticipated spaceborne measurement platforms (461695)
Victoria Meyer1, A. Anthony Bloom2, Mariko S Burgin2, John T Reager II3, Rashmi Shah4 and Alexandra G Konings5, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)University California, Irvine, Irvine, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)Stanford University, Department of Earth System Science, Stanford, CA, United States

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