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Assimilating Long Term Data into Ecosystem Models, application deadline is February 15, 2014

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Estimating the impact of global change on terrestrial ecosystems requires integrating long-term data into ecosystem models. This course provides 20 graduate students and researchers with intensive training to estimate the signal and uncertainty in historical and paleoecological data and to assimilate these into the current suite of terrestrial ecosystem models.

Hands-on curriculum covers the data/model process from design through data collection, analysis, and back to design. Activities include:


• Collecting historical and paleoecological data (e.g., tree rings, pollen, charcoal, macrofossils, and historical surveys)

• Bayesian data analysis addressing uncertainty, calibration of proxy data, and integration of diverse historical data

• Integrating data-derived ecological parameters into ecosystem models using formal Bayesian data assimilation



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