Kayo Ide
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CSCAMM | IPST
@ UMD
IGPP | AOS
@ UCLA

 

 
My research interests concern dynamics of atmosphere and oceans, including:

 

Data Assimilation
Data Assimilation is a method to estimate unknown true state by merging noisy and sporadic observations into the computational model of the system. My main interest is development of methodology, including Lagrangian data assimilation, observing system design, non-Gaussian filtering, nonlinear filtering. I am also interested in applications to atmosphere and oceans.
Variability of Atmosphere and Oceans
Variability in geophysical flows often refers to spatially and temporally cohere net change in the pattern. My main interest is low-frequency variability. I work on observation, modeling and theory.
Transport and Mixing
Although transport and mixing are not driving mechanism of geophysical flows, they play crucial role in the climate system. My main interest is application of dynamical systems theory to observational and computational flow fields.

 

 

Last Modified: September 2008