B019
Improving Earth System Predictability: New Mechanisms, Feedbacks, and Approaches for Predicting Global Biogeochemical Cycles in Earth System Models II Posters

Tuesday, 8 December 2020: 04:00-20:59
Poster
Primary Convener:  Forrest M. Hoffman, University of Tennessee, Civil and Environmental Engineering, Knoxville, TN, United States; Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States
Conveners:  Cheryl S Harrison, University of Texas Rio Grande Valley, School of Earth, Environmental and Marine Science, Edinburg, TX, United States and Cheng-En Yang, University of Tennessee, Civil and Environmental Engineering, Knoxville, TN, United States
Primary Liaison:  Forrest M. Hoffman, University of Tennessee, Civil and Environmental Engineering, Knoxville, TN, United States; Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States
Chairs:  Forrest M. Hoffman1,2, Cheryl S Harrison3 and Cheng-En Yang2, (1)Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States(2)University of Tennessee, Civil and Environmental Engineering, Knoxville, TN, United States(3)University of Texas Rio Grande Valley, School of Earth, Environmental and Marine Science, Edinburg, TX, United States
OSPA Liaison:  Cheryl S Harrison, University of Texas Rio Grande Valley, School of Earth, Environmental and Marine Science, Edinburg, TX, United States
 
Assessing the sensitivity of a land surface model through qualitative and quantitative tests (749717)
Raj Deepak1, Christian Seiler2 and Adam H Monahan1, (1)University of Victoria, Victoria, BC, Canada, (2)Environment and Climate Change Canada, Climate Processes Section, Victoria, BC, Canada
 
Carbon cycle feedbacks of CMIP6 models under overshoot scenarios (687123)
Irina Melnikova1,2, Katsumasa Tanaka3,4, Tokuta Yokohata5, Olivier Boucher2, Kaoru Tachiiri6, Hideo Shiogama7, Thomas Gasser8, Yann Quilcaille8 and Philippe Ciais3, (1)NIES National Institute of Environmental Studies, Ibaraki, Japan, (2)Institut Pierre Simon Laplace, Paris, France, (3)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette, France, (4)NIES National Institute for Environmental Studies, Tsukuba, Japan, (5)Natinal Institute for Environmental Sciences, Tsukuba, Ibaraki, Japan, (6)Japan Agency for Marine-Earth, Yokohama, Japan, (7)National Institute for Environmental Studies, Center for Global Environmental Research, Tsukuba, Japan, (8)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria
 
Country-level carbon sequestration potential by the middle of the 21 century (706677)
Lifen Jiang1, Junyi Liang2, Xingjie Lu3, Enqing Hou1, Forrest M. Hoffman4 and Yiqi Luo1, (1)Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States, (2)College of Grassland Science and Technology, China Agricultural University, Beijing, China, (3)School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China, (4)Computational Earth Sciences Group and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States
 
Developing Tools to Evaluate the Simulation and Representation of CO2 in the Energy Exascale Earth System Model (697205)
Daniel Edward Kaufman1, Katherine V Calvin1, Bryce E Harrop2 and Susannah M Burrows2, (1)Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States
 
Dissolved Organic Carbon in Arctic Rivers: Reduced Model with Functional Groups (686453)
Amadini Mendis Jayasinghe1, Scott Elliott2, Anastasia Piliouras2, Jaclyn L Clement Kinney3, Georgina Gibson4, Nicole Jeffery2, Forrest M. Hoffman5, Jitendra Kumar6 and Oliver W Wingenter1, (1)New Mexico Institute of Mining and Technology, Socorro, NM, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States, (3)Naval Postgraduate School, Monterey, CA, United States, (4)International Arctic Research Center, Fairbanks, AK, United States, (5)Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States, (6)Oak Ridge National Laboratory, Oak Ridge, TN, United States
 
Evapotranspiration trends in Spain: potential land surface-atmosphere feedbacks (748968)
Monica Garcia, Technical University of Denmark, Department of Environmental Engineering, Copenhagen, Denmark, Gorka Mendiguren González, DTU Environment, Environmental Engineering, Kgs Lyngby, Denmark, Sergio M Vicente-Serrano, Instituto Pirenaico de Ecología, Zaragoza, Spain, Maria Carmen Moyano, Universidad Politecnica de Madrid, Ingeniería Agroforestal,, Madrid, Spain, Alicia Palacios-Orueta, Universidad Politecnica de Madrid, Ingeniería Agroforestal, Madrid, Spain and Maria J. Santos, URPP Global Change and Biodiversity, University of Zurich, Geography, Zurich, Switzerland
 
Quantifying drivers of uncertainty in land model predictions at global scales using machine learning (764563)
Daniel M Ricciuto, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, Khachik Sargsyan, Sandia National Laboratories, Albuquerque, NM, United States, Dan Lu, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Jiafu Mao, Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States and Anping Chen, Colorado State University, Fort Collins, CO, United States
 
Reducing Uncertainty in Future Projections of CO2 and Net Ecosystem Exchange (753258)
Anna Laure Laure Gagné-Landmann1, Joanie St-Onge2, Katherine Deck3, Elias Charbel Massoud4, Eric Bharucha2, Deborah N Huntzinger5, Joshua Fisher6, Younes Messaddeq2 and Tapio Schneider7, (1)Laval University, Quebec City, QC, Canada, (2)Laval University, Quebec City, Canada, (3)California Institute of Technology, Pasadena, United States, (4)University of California Irvine, Irvine, CA, United States, (5)Northern Arizona University, School of Earth Sciences and Environmental Sustainability, Flagstaff, AZ, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (7)California Institute of Technology, Pasadena, CA, United States
 
Detection and Attribution of Climate-Driven Extremes in Net Biome Productivity from 1850 through 2100 (756624)
Bharat Sharma, Northeastern University, Boston, MA, United States, Forrest M. Hoffman, Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States, Jitendra Kumar, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Auroop R Ganguly, Northeastern University, Civil and Environmental Engineering, Boston, MA, United States
 
Have Land Surface and Carbon Cycle Processes in Earth System Models Improved Over Time? (729408)
Forrest M. Hoffman1,2, Nathan Collier3, Mingquan Mu4, Cheng-En Yang2, Charles Koven5, David M Lawrence6, Gretchen Keppel-Aleks7, Min Xu8, Qing Zhu5, Weiwei Fu4, Jiafu Mao9, Hyungjun Kim10, Jefferson Keith Moore11, William J Riley5 and James Tremper Randerson12, (1)Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States, (2)University of Tennessee, Civil and Environmental Engineering, Knoxville, TN, United States, (3)Oak Ridge National Laboratory, Computational Earth Sciences, Oak Ridge, TN, United States, (4)University of California Irvine, Irvine, CA, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (6)National Center for Atmospheric Research, Boulder, CO, United States, (7)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (8)Oak Ridge National Laboratory, Computational Sciences and Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States, (9)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States, (10)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, (11)University of California Irvine, Earth System Science, Irvine, CA, United States, (12)University of California Irvine, Department of Earth System Science, Irvine, CA, United States
 
The Community Land Model (CLM5) Parameter Perturbation Ensemble Project: Towards Comprehensive Understanding of Parametric Uncertainty on the Global Terrestrial Carbon Cycle (761603)
David M Lawrence1, Katie Dagon2, Daniel Kennedy2, Rosie Fisher1, Benjamin M Sanderson3, Keith W Oleson2, Forrest M. Hoffman4, Nathan Collier5, Danica L. Lombardozzi1, William R Wieder6, Charlie Koven7 and Sean C Swenson2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)NCAR, Boulder, CO, United States, (3)CERFACS, Toulouse, France, (4)Oak Ridge National Laboratory, Computational Sciences & Engineering Division and Climate Change Science Institute, Oak Ridge, TN, United States, (5)Oak Ridge National Laboratory, Computational Earth Sciences, Oak Ridge, TN, United States, (6)National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States, (7)Earth Sciences Division, Lawrence Berkeley National Laboratory,, Berkeley, CA, United States
 
Identifying polygonal ground in arctic regions using GLCM texture features for support vector machine classification (756389)
Nicolle Di Domenico, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States, Elizabeth Herndon, Oak Ridge National Laboratory, Oak Ridge, United States and Peter E Thornton, Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States
 
Hierarchy of Initial Conditions Reconstruction Strategies in a Perfect-Model Target Framework (725456)
Aaron Spring and Tatiana Ilyina, Max Planck Institute for Meteorology, Hamburg, Germany
 
Incorporating functional diversity into the Energy Land Model (ELM) substantially influences terrestrial carbon uptake (698373)
Ethan E Butler1, Kirk R Wythers1, Habacuc Flores-Moreno2, Daniel M Ricciuto3, Abhirup Datta4, Arindam Banerjee5, Owen K Atkin6, Jens Kattge7, Peter E Thornton8, Madhur Anand9, Sabina Burrascano10, Chaeho Byun11, Hans H.C. Cornelissen12, Estelle Forey13, Steven Jansen14, Koen Kramer15, Vanessa Minden16 and Peter B. Reich17, (1)University of Minnesota Twin Cities, Forest Resources, Minneapolis, MN, United States, (2)University of Minnesota Twin Cities, Minneapolis, MN, United States, (3)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States, (4)Johns Hopkins University, Baltimore, MD, United States, (5)University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, United States, (6)Australian National University, ARC Centre of Excellence in Plant Energy Biology, Research School of Biology, Canberra, Australia, (7)Max Planck Institute for Biogeochemistry, Jena, Germany, (8)Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States, (9)University of Guelph, School of Environmental Sciences, Guelph, ON, Canada, (10)Sapienza University of Rome, Environmental Biology, Rome, Italy, (11)Andong National University, Biological Science and Biotechnology, Andong, South Korea, (12)VU University Amsterdam, Ecological Sciences, Amsterdam, Netherlands, (13)Normandie University, UNIROUEN, INRAE, ECODIV, Rouen, France, (14)Ulm University, Institute of Systematic Botany and Ecology, Ulm, Germany, (15)Wageningen University and Research Center, Forest Ecology and Forest Management, Wageningen, Netherlands, (16)Vrije Universiteit Brussel, Biology, Brussels, Belgium, (17)University of Minnesota Twin Cities, Department of Forest Resources, St. Paul, MN, United States
 
Using Data Assimilation of Leaf Area Index to Constrain Decadal Global Carbon Dynamics in the Community Land Model 5.0 (748033)
Xueli Huo1, Andrew M Fox2, Timothy J Hoar3, Jeffrey L Anderson3, William Kolby Smith1, Hamid Dashti1 and David JP Moore1, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)Joint Center for Satellite Data Assimilation, Camp Springs, MD, United States, (3)NCAR, Boulder, CO, United States
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