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Understanding Uncertainty in Ocean and Land Fluxes: Insights from NASA CMS

This document synthesizes insights from the NASA CMS (Climate Modeling System) uncertainty working group, aided by contributions from participants like Chris Badurek and David Baker. It focuses on the challenges of understanding uncertainty in ocean/air, ocean/land, and land/air fluxes as discussed in the November 2013 meeting at JPL. By addressing model-data comparison and types of uncertainty, the goal is to harmonize results, foster collaboration, and improve predictions. The information is crucial for enhancing climate models and observational accuracy.

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Understanding Uncertainty in Ocean and Land Fluxes: Insights from NASA CMS

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  1. Active members: Participants: Chris Badurek, David Baker, Nicolas Bousserez, Jim Collatz, SangramGanguly, Robert Kennedy, DimitrisMenemenlis, John Miller, Steve Pawson, ` NASA CMS uncertainty working group NASA CMS Nov 2013 JPL

  2. Ocean State Land State “Uncertainty” Ocean/air flux Ocean/Land flux Land/air flux NASA CMS Nov 2013 JPL

  3. If we were all talking about the same thing, then we could put all of our results together and everything should overlap! What is uncertainty here? Model Data Map of state or flux Observation Propagation Map 2 of state or flux NASA CMS Nov 2013 JPL

  4. Understand CMS projects Online Survey https://docs.google.com/spreadsheet/ccc?key=0AsSSZURmMDWwdEl2eWY0WmpkYVlMdmhLV2ZGc25CX2c#gid=0 NASA CMS Nov 2013 JPL

  5. ETC. NASA CMS Nov 2013 JPL

  6. NASA CMS Nov 2013 JPL

  7. Types of uncertainty NASA CMS Nov 2013 JPL

  8. 3. Model-data comparison 1. Deterministic 2. Stochastic/Ensemble 4. Model-model comparison Models are correct – errors come from measurements and the initial guess of the state. Models and data are both wrong 5. Data-Data comparison NASA CMS Nov 2013 JPL

  9. * Numbers correspond to project IDs in briefing material appendix NASA CMS Nov 2013 JPL

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