Quantifying Model Error in a Data Assimilation Framework

Quantifying Model Error in a Data Assimilation Framework

Statistics Student Seminar
Apr 4, 2014, 04:00 PM - 05:00 PM | 340 Evans Hall | Happening As Scheduled
Linda Tran, UC Berkeley Stat
Data assimilation is often used in the atmospheric sciences to incorporate observations into a dynamical model as observations come online. One key assumption is that the dynamical model used for forecasting is the correct representation of reality. However, this is often not true -- the dynamical model is an approximation and can therefore be discrepant with reality. I review the Ensemble...