Inferring parameters in a geophysical flow model is a challenge for Lagrangian data assimilation(LaDA). We present a filtering-based method that combines particle filter and ENKF to track time-varying state vectors (positions of drifters) and fixed model parameters in a quasi-geostrophic two-layer shallow water model. Our method uses a dual stra...
Creator:
Santitissadeekorn, Naratip (University of North Carolina, Chapel Hill)
Created:
2013-11-19
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Daniel Santoscoy spent his life traveling, across the United States and to Mexico, mostly for work. While he has never considered himself an immigrant, he has explored different cultures and geographies.
Creator:
Santoscoy, Nathan
Created:
2016-10-07
Contributed By:
University of Minnesota, Immigration History Research Center