Analyzing state-dependent model-data comparison in multi-regime systems
An approach to analyze regime change in spatial time series datasets is followed and extended to jointly analyze a dynamical model depicting regime shift and observational data informing the same process. We analyze changes in the joint model-data regime and covariability within each regime. The method is applied to two observational datasets of equatorial sea surface temperature (TAO/TRITON array and satellite) and compared with the predicted data by the ECCO-JPL modeling system
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| Main Authors: | , |
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| Format: | artículo biblioteca |
| Language: | English |
| Published: |
Springer
2011-09
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| Online Access: | http://hdl.handle.net/10261/66140 |
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