GC21H:
Carbon Cycle Climate Variability: Observation, Modeling, and Data Assimilation in the Modern Data-Rich Era Posters


Submit an Abstract to this Session


Session ID#: 52664

Session Description:
The carbon cycle and climate interact and co-vary on a wide range of timescales, from seasonal to annual and decadal. Atmospheric CO2 is a driver of climate variations, a player in climate feedback mechanisms, and an index of anthropogenic activities. In recent years, observations of the global carbon cycle have intensified dramatically, from in-situ measurements on land, in the ocean and in the atmosphere, to remotely sensed measurements from space-borne platforms. This session focuses on analyzing and understanding carbon cycle variability and its underlying climatic drivers in the modern data-rich period, namely from seasonal to inter-annual time scales. Of particular interest is the recent persistent El Nino event of 2015-2016 that caused major perturbations with distinct spatial and time evolving characteristics across the tropics and extratropics. Solicited are contributions using observation, modeling, data assimilation and other techniques that highlight our understanding of the carbon cycle response to natural climatic variability.
Primary Convener:  Ning Zeng, University of Maryland, College Park, MD, United States
Conveners:  Abhishek Chatterjee, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, Andrew R Jacobson, NOAA, Global Monitoring Laboratory, Boulder, United States and Benjamin Poulter, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Primary Liaison:  Ning Zeng, University of Maryland, College Park, MD, United States
Chairs:  Ning Zeng, University of Maryland, College Park, MD, United States and Benjamin Poulter, Spark Climate Solutions, Greenbelt, United States
OSPA Liaison:  Abhishek Chatterjee, California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States
Co-Organized with:
Global Environmental Change, Atmospheric Sciences, Biogeosciences, and Ocean Sciences

Cross-Listed:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • OS - Ocean Sciences

Proposed Co-Organized Session with:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • OS - Ocean Sciences
Index Terms:

0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0428 Carbon cycling [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
4806 Carbon cycling [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]

Abstracts Submitted to this Session:

Long-term Comparison of Multi Carbon Satellites XCO2 Retrievals with TCCON and Model Data (441821)
Yawen Kong1, Baozhang Chen2 and Huifang Zhang2, (1)Department of Earth System Science,Tsinghua University, Beijing, China, (2)State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, Beijing, China
An Ensemble Nonlinear Least Squares Four-Dimensional Variational Data Assimilation System to Estimate surface CO2 Flux from space-borne CO2 observations (366660)
Rui Han and Xiangjun Tian, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
The climate sensitivity of carbon use efficiency from ecosystems to global scales (376161)
Ashley Ballantyne, University of Montana, Missoula, MT, United States, Zhihua Liu, University of Montana, Missoula, United States, Benjamin Poulter, NASA Goddard Space Flight Center, Greenbelt, MD, United States and William Anderegg, University of Utah, Salt Lake City, United States
A data assimilation system using a POD-based four-dimensional variation assimilation method for estimating regional CO2 surface fluxes (391172)
Lifeng Guo, Baozhang Chen and Huifang Zhang, State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, Beijing, China
Hillslope topography mediates the sensitivity of western U.S. net primary productivity to climate (413375)
Zachary Harwood Hoylman1, Kelsey G Jencso2, Jia Hu3, Zack Holden4, Nathaniel Robinson5, Brady W Allred5, Solomon Dobrowski4 and Justin T Martin6, (1)University of Montana, Montana Climate Office, Missoula, MT, United States, (2)University of Montana, Franke School of Forestry and Conservation, Missoula, United States, (3)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (4)University of Montana, Missoula, MT, United States, (5)University of Montana, Numerical Terradynamic Simulation Group (NTSG), Missoula, MT, United States, (6)U.S. Geological Survey, Bozeman, MT, United States
Modeling and Uncertainty Analysis of Carbon and Water Fluxes in a Broad-leaved Korean Pine Mixed Forest based on Model-data Fusion (432497)
Xiaoli Ren1, Honglin He1, Li Zhang2, Fan Li3, Min Liu4, Guirui Yu5 and Junhui Zhang6, (1)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Ecosystem Network Observation and Modeling, Beijing, China, (2)IGSNRR,CAS, Beijing, China, (3)China National Offshore Oil Corporation Research Institute, Beijing, China, (4)East China Normal University, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, Shanghai, China, (5)Key Laboratory of Ecosystem Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, (6)Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
Compound specific carbon and nitrogen stable isotope analysis amino acid in whale’s earwax (448257)
Farzaneh Mansouri1, Danielle Crain2, Zach Winfield1, James M Fulton3, Stephen J Trumble2 and Sascha Usenko4, (1)Baylor University, Environmental Science, Waco, TX, United States, (2)Baylor University, Biology, Waco, TX, United States, (3)Baylor University, Department of Geosciences, Waco, TX, United States, (4)Baylor University, Environmental Sciences, Waco, TX, United States
Constraining Canopy Carbon Simulations in Terrestrial Biosphere Models by Using the Soil Moisture Active Passive Observations (463616)
Mingjie Shi, Jet Propulsion Laboratory, Pasadena, CA, United States, Junjie Liu, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Steven Chan, Jet Propulsion Lab, Pasadena, United States

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