Aug 22(Wed)    Aug 23(Thu)    Aug 24(Fri) NOTE
09:00~10:15 Registration/Opening Zupanski (II) Xu (III)
Engineering  Building B
B159

Hybrid ensemble-variational data assimilation  

Land-Surface data assimilation
10:30~11:45 Sandu  (I) Xu (II) Sandu (III)
Introduction to variational data assimilation     Algorithms to minimize a cost function   Advanced topics in variational data assimailation and applications
12:00~13:00                                  Lunch  
13:00~14:15 Xu (I) Sandu (II) Zupanski (III)
Engineering  Building B
B159
An observation space based variational DA systems: Theory and applications Sensitivity analysis, adjoints, and optimization methods Satellite data assimilation
14:30~15:45 Zupanski (I) (B159) Lab (Xu-1)
Lab (Zupanski)
Engineering  Building B
B163
Ensemble data assimilation Advanced DA with a simple transportation problem Ensemble DA using a square-root ensemble Kalman filter (EnKF) 
16:00~17:30
Lab (Sandu)

Building a small variational data assimilation

Lab (Xu-2)

Minimization using steepest descent and conjugate gradients

Lab Practice

18:30~20:00                      Dinner      Banquet  

* Serving lunch, dinner and sandwiches for breakfast , three days (take meal tickets when you register at EISDA)