The integration of data and models is at the core of ecological forecasting. There is much that can be learned about forecasting methods from other disciplines, from weather forecasters through to economic forecasters. But ecologists also face challenges that outside the mainstream of either of these extremes, such as a high degree of process heterogeneity across many scales and an abundance of semi-mechanistic models, where physical and chemical constraints play an important role but many functional relationships are empirically derived. This working group will advance the statistical methods and tools for forecasting and data assimilation by advancing statistical approaches and best practices for data assimilation, translating these into software tools usable by ecologists, and develop uncertainty estimates on common data.
Methods Working Group Schedule of Calls:
The Methods & Cyberinfrastructure will be meeting jointly on June 1, June 29, July 27, August 24 at 2pm US Eastern. We are always open to people joining the calls, contact us at firstname.lastname@example.org
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Notes from Working Group Calls
Chair: Jacob Zwart (USGS)