research
∙
05/12/2023
An efficient estimation of spatio-temporally distributed parameters in dynamic models by an ensemble Kalman filter
The accuracy of Earth system models is compromised by unknown and/or unr...
research
∙
10/24/2021
An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation
It is crucially important to estimate unknown parameters in earth system...
research
∙
06/25/2020
Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models
Prediction of spatio-temporal chaotic systems is important in various fi...
research
∙
09/09/2019