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Carbon Monitoring System-Observing System Simulation Experiment Framework (CMS-OSSE)

Meemong Lee, JPL, meemong.lee@jpl.nasa.gov (Presenter)
Kevin W Bowman, JPL, kevin.w.bowman@jpl.nasa.gov

The CMS pilot project team at Jet Propulsion Laboratory has developed a comprehensive OSSE framework to enable collaborative mission studies among inter-disciplinary teams (e.g., system engineering team, instrument team, and science team) in formulating measurement requirements and validating mission and instrument concepts. The CMS-OSSE framework is composed a forward model, a CO2 concentration simulator, an observation simulator, a global data assimilator, and an inverse model. The forward model simulates transport and convection of the atmospheric CO2 employing GEOS-5 model-runs for meteorology fields. The CO2 concentration simulator integrates surface CO2 flux model-runs from a wide range of models including Carnegie Ames Standford Approach (CASA), Carbon Dioxide Information Analysis Center (CDIAC) , International Comprehensive Ocean-Atmospheric Data Set (ICOADS), Global Fire Emissions Database (GFED), Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2), & NASA Ocean Biochemical Model (NOBM). The observation simulator creates virtual level-2 data products for a prescribed observation scenario and an instrument system, which includes sampled CO2 state vector along with assimilation relevant observation information. The global assimilation of the virtual level-2 data products allows quantitative evaluation of the impact of instrument systems for a specific observation scenario or the impact of observation scenarios for a specific instrument system. The inverse model estimates the emission inventory perturbation based on the deviation between the global CO2 concentration obtained from the assimilation step and the global CO2 concentration generated using the reference emission inventory.

Presentation Type:  Poster

Session:  Science in Support of Decision Making   (Wed 10:00 AM)

Associated Project(s): 

  • Duren, Riley: CMS System Design Study ...details

Poster Location ID: 308

 


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