A Local Approach to Hybrid Data Assimilation

Tuesday, 16 December 2014: 2:25 PM
Kayo Ide, University of Maryland, College Park, MD, United States and Daryl T Kleist, University of Maryland College Park, College Park, MD, United States
A hybrid system with the local formulation is developed where the prior probability density function (pdf) consists of both statistical and dynamic information of the uncertainty. The dynamic information is provided by the monte caro approach. The local formulation is solved at every grid as in the local ensemble transform Kalman filter. The formulation is flexible in that it allows not only Gaussian but other stable pdfs.