B005
Advances in Land Carbon Cycle Modeling

Session ID#: 156766

Session Description:
Our predictive understanding of land biogeochemistry has been improved greatly owing to substantial increases in data availability from observations and experiments and significant advances in modeling techniques. However, quantitative forecasting of land carbon cycle is still a big challenge, as reflected by the large uncertainties in simulated carbon storage and fluxes across Earth system models. To meet the challenge, it will likely be necessary to develop new theories on carbon cycle, invent new modeling techniques, devise innovative tools for data-model integration, and/or use new artificial intelligence approaches such as machine learning. This session aims to include presentations on advances in land carbon cycle science and techniques to improve land carbon cycle models. We invite contributions from theoreticians, modelers, and experimentalists to this session on improving land carbon cycle modeling.
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]

Primary Convener:  Lifen Jiang, Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States
Conveners:  Alexandra G Konings, Stanford University, Department of Earth System Science, Stanford, CA, United States, Carlos A Sierra, Max Planck Institute for Biogeochemistry, Theoretical Ecosystem Ecology, Jena, Germany and Yiqi Luo, Cornell University, School of Integrative Plant Science, Ithaca, United States
 
A Framework for Tracing Uncertainty of Land Carbon Cycle in Earth System Models (Invited) (1041487)
Jianyang Xia1, Ning Wei1, Jian Zhou1, Chenyu Bian2, Erqian Cui1, Oleksandra Hararuk3, Lifen Jiang4, Yingping Wang5 and Yiqi Luo6, (1)School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China, (2)East China Normal University, School of Ecological and Environmental Sciences, Shanghai, China, (3)University of Central Florida, Biology, Orlando, United States, (4)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States, (5)CSIRO, Ocean and Atmosphere Flagship, Aspendale, Australia, (6)Cornell University, School of Integrative Plant Science, Ithaca, United States
 
Characterization of deterministic and stochastic components of atmospheric CO2 inside forest canopies and consequences for predicting carbon and water exchange (1046133)
Estefanía Muñoz, Max Planck Institute for Biogeochemistry, Jena, Germany and Carlos A Sierra, Max Planck Institute for Biogeochemistry, Theoretical Ecosystem Ecology, Jena, Germany
 
Observation based benchmarks may improve representation of soil organic carbon dynamics in Land Surface Models (1049300)
Kamal Nyaupane, University of Texas at El Paso, El Paso, TX, United States, Sagar Gautam, Sandia National Laboratories, Computational Biology and Biophysics, Livermore, CA, United States and Umakant Mishra, Sandia National Laboratories, Computational Biology and Biophysics, Albuquerque, NM, United States
 
Toward Automated Data-Model Calibration for the Arctic Terrestrial Ecosystem Model (1053292)
Elchin E Jafarov1, Helene Genet2, Velimir monty V Vesselinov3, Valeria Briones1, Ruth Rutter4, Brendan M Rogers1 and Susan Natali1, (1)Woodwell Climate Research Center, Falmouth, United States, (2)University of Alaska Fairbanks, Institute of Arctic Biology, Fairbanks, AK, United States, (3)Los Alamos National Laboratory, Los Alamos, United States, (4)University of Alaska Fairbanks, Institute of Arctic Biology, Fairbanks, United States
 
Global Calibration of Demographic Rates and Forest Structure in E3SM-FATES (1060162)
Jessica Fay Needham1, Rosie Fisher2,3, Ryan Knox4, Charles Koven5, Gregory Lemieux4 and Jennifer Holm4, (1)Lawrence Berkeley National Laboratory, Climate Sciences, Berkeley, CA, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)Center for International Climate and Environmental Research Oslo, Oslo, Norway, (4)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (5)Earth and Environmental Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Storage and Turnover of Organic Carbon in Three Meter Soil Depth as Affected by Conifer Invasion into Semi-Arid Grassland (1061655)
Lidong Li1, Elnaz Hosseiniaghdam2 and Michael Kaiser1, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)University of Nebraska-Lincoln, Lincoln, United States
 
Projection and Uncertainty in the Vegetation Growth and Carbon Cycle of a Transiting Temperate-Subtropical Mixed Forest in Jeju Island (1064508)
JiHyun Kim1, Yeonjoo Kim1, Jeongbin Kim2, Kyeungwoo Cho2,3, Jinkyu Hong4, Je-Woo Hong5, Sungsoo Jo4, Chanwoo Park6 and Jung-Hwa Chun6, (1)Yonsei University, Department of Civil and Environmental Engineering, Seoul, Korea, Republic of (South), (2)Yonsei University, Department of Civil and Environmental Engineering, Seoul, South Korea, (3)Georgia Institute of Technology, Department of Civil and Environmental Engineering, Atlanta, United States, (4)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (5)Korea Environment Institute, Sejong, South Korea, (6)National Institute of Forest Science, Seoul, South Korea
 
Impact of mesophyll diffusion on carbonyl sulfide (OCS) fluxes in global terrestrial ecosystems (1064681)
Jiameng Lai, Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, Linda Kooijmans, Meteorology and Air Quality, Wageningen University and Research, Wageningen, Netherlands, Danica L. Lombardozzi, National Center for Atmospheric Research, Boulder, CO, United States and Ying Sun, Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States
 
Improving wetland model realism: Activating and parametrizing sub-grid level wetland land-unit in the E3SM land model (ELM) (1067389)
Theresia Yazbeck1, Gil Bohrer2, Madeline Scyphers3, Justine E.C. Missik4, Yvette Onyango5, Eric Ward6, Robert Bordelon7, Diana Taj7, Jorge Villa8, Kelly Wrighton9, Qing Zhu10 and William J Riley11, (1)Ohio State University Main Campus, Columbus, OH, United States, (2)The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States, (3)Ohio State University Main Campus, Columbus, United States, (4)Washington State University, Pullman, United States, (5)Ohio State University Main Campus, Civil, Environmental & Geodetic Engineering, Columbus, United States, (6)U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, LA, United States, (7)University of Louisiana at Lafayette, School of Geosciences, Lafayette, LA, United States, (8)University of Louisiana at Lafayette, Lafayette, LA, United States, (9)Colorado State University, Soil and Crop Sciences, Fort Collins, CO, United States, (10)Purdue University, West Lafayette, United States, (11)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, United States
 
A Synthesis on Microbial Carbon Cycling Models in Terrestrial Ecosystems (1068484)
Aneesh Chandel1, Yiqi Luo1 and Lifen Jiang2, (1)Cornell University, School of Integrative Plant Science, Ithaca, United States, (2)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States
 
EMC2: A Hybrid-Machine Learning Carbon Model for the Discovery of Unknown Functional Relationships in Terrestrial Carbon Cycles (1070368)
Jianing Fang, Columbia University, Earth and Environmental Engineering, New York City, United States and Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States
 
Mechanisms Controlling the Impacts of Climate Change on the Sierra Nevada Ecosystem (1075237)
Mohammad Safeeq, University of California Merced, Civil and Environmental Engineering, Merced, United States, Weichao Guo, University of California Merced, Merced, CA, United States and Roger C Bales, University of California Merced, Sierra Nevada Research Institute, Merced, United States
 
How to represent soil microbiomes in Earth system modeling? (1082253)
Yiqi Luo, Cornell University, School of Integrative Plant Science, Ithaca, United States
 
Deriving a Solubility Map of Soil Organic Carbon over the Contiguous U.S. (1082730)
Lingbo Li1, Hong-Yi Li1, Guta Wakbulcho Abeshu2, Zeli Tan3, Chang Liao4, Xiaojuan Yang5 and L. Ruby Leung4, (1)University of Houston, Houston, TX, United States, (2)University of Houston, Houston, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (5)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, United States
 
Global C4 distribution estimate constrained by observations and optimality theory (1084414)
Xiangzhong Luo, National University of Singapore, Department of Geography, Singapore, Singapore, Haoran Zhou, Yale University, Department of Ecology & Evolutionary Biology, New Haven, United States, Trevor F Keenan, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States and Stephen Sitch, University of Exeter, College of Life and Environmental Sciences, Exeter, United Kingdom
 
Spatial Parameter Optimization of a Terrestrial Biosphere Model for Improving Estimation of Carbon Fluxes by An Efficient Model-Data Fusion Method (1085273)
Rui Ma1, Jingfeng Xiao2, Shunlin Liang3, Han Ma3, Tao He1, Da Guo4, Xiaobang Liu1 and Haibo Lu5, (1)Wuhan University, Wuhan, China, (2)University of New Hampshire, Durham, United States, (3)University of Hong Kong, Department of Geography, Hong Kong, China, (4)UCAS University of Chinese Academy of Sciences, College of Resources and Environment, Beijing, China, (5)School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
 
MODELING CARBON STOCKS IN FOREST SOIL USING GOOGLE EARTH ENGINE(THE REPUBLIC OF KARELIA AND THE KARELIAN ISTHMUS, RUSSIA) (1094087)
Anna Narykova and Aleksandra Plotnikova, Center for Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia
 
A top-down constraint on the biome-scale temperature sensitivity of ecosystem respiration reveals misrepresentation in terrestrial biosphere models (1098701)
Wu Sun1, Xiangzhong Luo2, Yuanyuan Fang3, Yoichi Shiga4, Yao Zhang5, Joshua B Fisher6, Trevor F Keenan7,8 and Anna Michalak1, (1)Carnegie Institution for Science, Department of Global Ecology, Stanford, United States, (2)National University of Singapore, Department of Geography, Singapore, Singapore, (3)Bay Area Air Quality Management District, San Francisco, United States, (4)Universities Space Research Association, Mountain View, United States, (5)Peking University, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Beijing, China, (6)Chapman University, Schmid College of Science and Technology, Orange, United States, (7)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States, (8)University of California, Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States
 
Constraints for transit times of soil carbon from a global compilation of radiocarbon in incubations (1106501)
Susan Trumbore1, Alison Hoyt2, Carlos A Sierra3, Jeffrey Beem-Miller1, Shane Stoner1 and Sophie F von Fromm4, (1)Max Planck Institute for Biogeochemistry, Jena, Germany, (2)Stanford University, Earth Systems Science, Stanford, United States, (3)Max Planck Institute for Biogeochemistry, Theoretical Ecosystem Ecology, Jena, Germany, (4)Max-Planck-Institute for Biogeochemistry, Department of Biogeochemical Processes, Jena, Germany
 
Can state data assimilation improve farmland soil carbon model projections: A synthetic study (1108815)
Toni Viskari, Julius Vira, Istem Fer, Jari Liski and Pinja Lindgren, Finnish Meteorological Institute, Helsinki, Finland
 
Radiocarbon Measurements of Soil Density Fractions Represent Powerful Constraints on Carbon Turnover: A Case Study of Swiss Forest Soils (1111622)
Alexander Sohrab Brunmayr1, Heather D Graven1, Margaux Moreno Duborgel2,3 and Negar Haghipour4, (1)Imperial College London, Physics, London, SW7, United Kingdom, (2)ETH Zurich, Earth Sciences, Zurich, Switzerland, (3)WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland, (4)ETH Zurich, Ion Beam Physics, Zurich, Switzerland
 
Integrating the roles of lignin and soil geochemical properties to improve the prediction accuracy of organic matter decomposition in NEON soils (1114567)
Bo Yi1, Chaoqun Lu2, Wenjuan Huang1, Wenjuan Yu1, Kenneth Hammel3, Samantha R Weintraub-Leff4 and Steven J Hall1, (1)Iowa State University, Department of Ecology, Evolution, and Organismal Biology, AMES, United States, (2)Iowa State University, Department of Ecology, Evolution, and Organismal Biology, Ames, IA, United States, (3)University of Wisconsin Madison, Bacteriology, Madison, United States, (4)National Ecological Observatory Network, Boulder, CO, United States
 
Omics-enabled modeling of grassland microbial communities feedback to climate change (1116960)
Jizhong Zhou1, Siyang Jian2, Zhifeng Yang2, Gangsheng Wang2, Xue Guo3, Qun Gao3, Zheng Shi4 and Daliang Ning2, (1)University of Oklahoma, Norman, United States, (2)University of Oklahoma, Institute for Environmental Genomics, Department of Microbiology and Plant Biology, Norman, OK, United States, (3)Tsinghua University, School of Environment, Beijing, China, (4)University of Oklahoma, Institute for Environmental Genomics, Department of Microbiology and Plant Biology, Norman, United States
 
Towards reducing uncertainty in land carbon predictions through the Global Matrix MIP traceability framework (1118807)
Kostiantyn Viatkin1, Markus Müller2, Yu Zhou1, Aneesh Chandel2, Lifen Jiang3, Jon Wells4, Feng Tao5, Cuijuan Liao5, Yuanyuan Huang6, Song Wang7, Chenyu Bian8, Junyi Liang9, Chengcheng Gang10, Alison Bennett11, Enqing Hou12 and Yiqi Luo2, (1)Cornell University, School of Integrative Plant Science, Ithaca, NY, United States, (2)Cornell University, School of Integrative Plant Science, Ithaca, United States, (3)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States, (4)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, United States, (5)Tsinghua University, Department of Earth System Science, Beijing, China, (6)CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia, (7)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Key Laboratory of Ecosystem Network Observation and Modeling, Beijing, China, (8)East China Normal University, School of Ecological and Environmental Sciences, Shanghai, China, (9)CAU China Agricultural University, Department of Grassland Resource and Ecology, Beijing, China, (10)Northwest A&F University, Institute of Soil and Water Conservation, Yangling, China, (11)University of Melbourne, School of Ecosystem and Forest Science, Parkville, VIC, Australia, (12)South China Botanical Garden, Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangzhou, China
 
Does Management Reinforce or Mitigate Climate Change Driven Shifts in Forest Function? Integrating Management in Ensemble Vegetation Modeling (1119596)
Bailey Murphy1, Christine Rollinson2, Ankur R Desai1, Michael Dietze3, Paul Duffy4, Nicolena vonHedemann5, Courtney Schultz5, Christina L Staudhammer6, Michael Binford7, Chiung-Shiuan Fu8 and William Kleindl9, (1)University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, (2)The Morton Arboretum, Center for Tree Science, Lisle, United States, (3)Boston University, Earth and Environment, Boston, United States, (4)Neptune and Company, Lakewood, CO, United States, (5)Colorado State University, Department of Forest and Rangeland Stewardship, Fort Collins, United States, (6)University of Alabama, Department of Biology, Tuscaloosa, AL, United States, (7)University of Florida, Ft Walton Beach, FL, United States, (8)University of Florida, Geography, Gainesville, FL, United States, (9)Montana State University, Bozeman, MT, United States
 
Global-Scale Benchmarking of TRENDY Dynamic Vegetation Model Spatiotemporal Estimates of Dryland Productivity using a Dryland-Specific, Ecohydrologically-Informed GPP Product (1123091)
Rubaya Pervin1, Mallory Barnes1 and Natasha Macbean2, (1)Indiana University Bloomington, Bloomington, IN, United States, (2)University of Western Ontario, Department of Geography and Environment, London, Canada
 
Compartment models with arbitrary compartment residence times (1128022)
Timothy R Ginn, Washington State University, Civil and Environmental Engineering, Pullman, United States and Lynn G Schreyer, Washington State University, Mathematics and Statistics, Pullman, WA, United States
 
Modeling and Validation of a Half-hourly Soil Carbon Flux Product at Select NEON Sites (1132704)
John M Zobitz, Augsburg University, Mathematics, Statistics, and Computer Science, Minneapolis, United States, Naupaka B Zimmerman, University of Arizona, Tucson, AZ, United States; University of San Francisco, Department of Biology, San Francisco, United States and Edward Ayres, NEON Inc, Boulder, CO, United States
 
Spatial Application of the Forest Vegetation Simulator (FVS) to Project Impacts of Fuel Reduction Treatments on Carbon Budgets (1135896)
Ashley Cale, Erin J Hanan, Taylor Brown, Adriano Matos, Gunner Stone, Johanson Onyegbula, Nikki Inglis, Benjamin W Sullivan and Jonathan A Greenberg, University of Nevada Reno, Natural Resources and Environmental Science, Reno, United States
 
The Biogeochemical Model Database bgc_md2, a Python Package for Fast Comparison and Benchmarking of Element Cycling Models (1136445)
Markus Müller1, Holger Metzler2, Verónika Ceballos Núñez3, Kostiantyn Viatkin4, Jon Wells5, Yu Zhou1, Cuijuan Liao6, Aneesh Chandel1, Feng Tao6, Yuanyuan Huang7, Alison Bennett8, Song Wang9, Chenyu Bian10, Chengcheng Gang11, Lifen Jiang12, Carlos A Sierra13 and Yiqi Luo1, (1)Cornell University, School of Integrative Plant Science, Ithaca, United States, (2)Swedish University of Agricultural Sciences, Department of Crop Production Ecology, Uppsala, Sweden, (3)Leipzig University, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany, (4)Cornell University, School of Integrative Plant Science, Ithaca, NY, United States, (5)Northern Arizona University, Center for Ecosystem Sciences and Society, Flagstaff, United States, (6)Tsinghua University, Department of Earth System Science, Beijing, China, (7)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (8)University of Melbourne, School of Ecosystem and Forest Science, Parkville, VIC, Australia, (9)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Key Laboratory of Ecosystem Network Observation and Modeling, Beijing, China, (10)East China Normal University, School of Ecological and Environmental Sciences, Shanghai, China, (11)Northwest A&F University, Institute of Soil and Water Conservation, Yangling, China, (12)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States, (13)Max Planck Institute for Biogeochemistry, Theoretical Ecosystem Ecology, Jena, Germany
 
Representing Microbial Dynamics and Organo-mineral Interactions in E3SM land model (ELM) (1141170)
Jing Tao, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States, William J Riley, Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, United States, Jinyun Tang, Lawrence Berkeley Natl Lab, Climate and Ecosystem Sciences Division, Berkeley, United States, Qing Zhu, Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States and Margaret S Torn, Berkeley Lab/UC Berkeley, Berkeley, CA, United States
 
Emerging Trends in Carbon Cycle Science (1147675)
Josep Gili Canadell, CSIRO Oceans and Atmosphere, Canberra, Australia
 
Improved Estimates of Carbon and Water Dynamics by TECO-Dryland and Data Assimilation (1148315)
Yu Zhou, Cornell University, School of Integrative Plant Science, Ithaca, NY, United States, Enqing Hou, South China Botanical Garden, Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangzhou, China, Marcy E Litvak, University of New Mexico, Department of Biology, Albuquerque, NM, United States, Jennifer Rudgers, University of New Mexico, Albuquerque, United States, Scott L Collins, Department of Biology, MSC03-2020, University of New Mexico, Albuquerque, NM, United States, William Pockman, Univ New Mexico, Albuquerque, NM, United States and Yiqi Luo, Cornell University, School of Integrative Plant Science, Ithaca, United States
 
Using Machine Learning to Accelerate MCMC for the CARbon DAta-MOdel fraMework (1168643)
Nicholas LaHaye1, Steffen Mauceri1 and A. Anthony Bloom2, (1)Jet Propulsion Laboratory, Pasadena, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Understanding the Carbon Balance of Diverse Californian Ecosystems using Model-Data Fusion (1170143)
Jessie Au1, A. Anthony Bloom2, Lauren Fety3, Benjamin Z Houlton4, Lily Klinek5, David T Milodowski6, Nicholas Parazoo7, Luke Smallman8, Mathew Williams8 and Troy Magney1, (1)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)The Conservation Fund, Ukiah, United States, (4)Cornell University, Ecology and Evolutionary Biology / Global Development, Ithaca, NY, United States, (5)University of California Davis, Davis, CA, United States, (6)University of Edinburgh, Edinburgh, EH9, United Kingdom, (7)Jet Propulsion Laboratory (JPL), Pasadena, CA, United States, (8)University of Edinburgh, School of GeoSciences, Edinburgh, United Kingdom
 
Understanding the Spatio-Temporal Change in the Factors Controlling the Preservation of Soil Organic Carbon Under Contrasting Climatic Conditions- A Machine Learning Approach (1178389)
Sourav Adhya, Indian Institute of Science Education and Research Kolkata, Kolkata, India and Prasanta Sanyal, Indian Institute of Science Education and Research Kolkata, Earth Sciences, Kolkata, India
 
A Coupled Model Approach to Quantifying the Redistribution of Terrestrial Carbon via Lateral Carbon Transport (1182076)
Ceara J Talbot, University of Notre Dame, Biological Sciences, Notre Dame, IN, United States and Stuart Jones, University of Notre Dame, Biological Sciences, Notre Dame, United States
 
Integrative Economic Analysis of Climate Mitigations by Adopting Cover Cropping and Reduced Tillage in the Contiguous US (1183588)
Yufeng Yang1, Xi Deng2, Yijie Wang2, Timothy M. Smith3, Zhangcai Qin4, Zhenong Jin5 and Taegon Kim6, (1)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Minneapolis, MN, United States, (2)School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China, (3)University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, MN, United States, (4)Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China, (5)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States, (6)Department of Smart Farm, Jeonbuk National University, Jeonju, South Korea
 
Assessing carbon budget in cotton agroecosystems across the United States (1184423)
Rongzhu Qin1, Kaiyu Guan2, Bin Peng1, Tongxi Hu1, Wang Zhou1 and Robert F Grant3, (1)University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (2)University of Illinois at Urbana-Champaign, epartment of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, (3)University of Alberta, Department of Renewable Resources, Edmonton, AB, Canada
 
Using Observed Carbon Residence Times to Improve Simulation of Total CO2 and 13CO2 Land Carbon Fluxes (1189970)
Aleya Kaushik, NOAA Boulder, Boulder, CO, United States and John B Miller, NOAA, Global Monitoring Laboratory, Boulder, United States
 
Spatio-temporal estimation of primary Carbon productivity of Agroecosystems under regeneration schemes using Remote Sensing and Artificial Intelligence. (1193210)
Juan Isaac Gamez-Badouin, INSTITUTO TECNOLÓGICO DE SONORA, mathematics, Ciudad Obregón, Sonora, Mexico and Juan Alexis Valenzuela-Munguia, Student, Geoscience, Ciudad Obregón, Mexico
 
Anticipating the effect of post-harvest soil respiration from agricultural fields using high resolution remote sensing and in situ observations (1194192)
Mary Whelan1, Mingjie Shi2, Kassia Symstad3 and Callie McFadden3, (1)Rutgers University New Brunswick, New Brunswick, NJ, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Rutgers University New Brunswick, New Brunswick, United States
 
High Spatial Resolution Modeling of Gross Primary Production over Sugarcane Plantations (1195745)
Jorge Andres Celis, University of Oklahoma Norman Campus, Norman, OK, United States, Xiangming Xiao, Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, United States, Paul White, USDA ARS, Houma, LA, United States and Osvaldo Cabral, Embrapa Meio Ambiente, Jaguariuna, Brazil
 
Automating integration of observations and experiments in the E3SM land model (1196490)
Daniel M Ricciuto, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
 
CARDAMOM 3.0: A versatile data assimilation framework to infer carbon, water, and energy cycling using diverse Earth observations (1200151)
Paul Alexander Levine1, A. Anthony Bloom1, Renato Kerches Braghiere1, Shuang Ma1, Alexander Norton1, Yan Yang1, Alexandra G Konings2, Matthew Worden2, Gregory Ross Quetin3, Mathew Williams4, Thomas Luke Smallman4, Marcos Longo5 and Elias Charbel Massoud6, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Stanford University, Department of Earth System Science, Stanford, CA, United States, (3)University of California Santa Barbara, Department of Geography, Santa Barbara, United States, (4)University of Edinburgh, School of GeoSciences, Edinburgh, United Kingdom, (5)Lawrence Berkeley National Laboratory, Berkeley, United States, (6)University of California Berkeley, Environmental Science, Policy, & Management, Berkeley, CA, United States
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