Parallel Computing and Bias Correction in Data Assimilation

Wednesday, November 20, 2013 - 11:00am - 11:40am
Lind 305
Eric Kostelich (Arizona State University)
The Local Ensemble Transform Kalman Filter (LETKF) is an accurate
state estimation scheme that has been applied successfully to several
different weather and ocean models. I will address two issues in
this talk. First, the LETKF is an embarrassingly parallel algorithm:
every grid point is updated independently using a local set of
observations. I will discuss some difficulties associated with
getting good efficiency on modern parallel computer architectures.
Second, I will discuss an approach to bias correction with
potential application to atmospheric modeling.
MSC Code: