Enter Note Done
Go to previous page in this tab
Session
  • Presentation | B22A: Advances in Land Carbon Cycle Modeling I Oral
  • Oral
  • Share Icon
    Map Icon
    Bookmark Icon
  • B22A-08: An Open Workflow to Generate Inventories and Scenario-based Projections of Greenhouse Gas Balance Across California’s Croplands.
    • Schedule
    Notes
  • Location Icon265-266
    NOLA CC
    Set Timezone
    •  
    View Map

Generic 'disconnected' Message
Author(s):
David LeBauer, The LeBauer Approach, LLC (First Author, Presenting Author)
Chris Black, Pools and Fluxes LLC
Mike Longfritz, Self
Rob Kooper, National Center for Super Computing Applications
Michael Dietze, Boston University


We are developing an open-source set of tools to estimate and project how farming affects soil carbon storage and greenhouse gas emissions. It uses satellite and agricultural data to estimate when and where practices like planting, harvesting, irrigation, and tillage occur on every crop field in the state. For projections, it converts scenarios into ensembles of possible future farm activities. It uses a process-based model to calculate carbon storage and greenhouse gas emissions and a machine learning pipeline to extrapolate these estimates to all crop fields in the state. Finally, it aggregates field scale estimates to county level inventories and projections.


The system runs many model simulations to represent both uncertainty and the range of possible scenarios. This helps quantify uncertainty, improve the reliability of estimates, and inform decisions. The system is designed to use only openly available data and software, to be configurable for different regions, data inputs, and timescales, and to interoperate with other pipelines.




Scientific Discipline
Suggested Itineraries
Neighborhood
Type
Main Session
Discussion