CHEESEHEAD and Environmental Response Functions: Bridging Scales Workshop | AGU 2019

How to make sense of complex observational datasets, such as collected by CHEESEHEAD, the Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors? Could it be possible to bridge scale-mismatches such as between observations and models by jointly using spatial grids, continuous time series and discrete surveys? This workshop offers practical solutions through tutorials on accessing CHEESEHEAD data and using Environmental Response Functions (ERF) to combine multiple data sources for inference across observational and model perspectives!

Registration 

As in previous years, the final workshop agenda will be informed by your interests, potential contributions, and desired outcomes as submitted with your registration. The workshop has a limited number of participants. This workshop is not affiliated with the AGU Annual Meeting and participants in this workshop do not have to be registered for the AGU meeting. 

Registration is now closed. 

Workshop Goals

Through participation in this workshop, our goals are to:

• Explore the origin, consequences, and possible remedies of scale mismatch;
• Learn tools for distributed data access, collaborative data merging and analysis;
• Empower participants to contribute and implement their own ideas;
• Coalesce topical interest teams for continued collaboration.