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Application of data assimilation method for predicting solar cycles
I. Kitiashvili,
A. G. Kosovichev
Research output
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peer-review
52
Scopus citations
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Dive into the research topics of 'Application of data assimilation method for predicting solar cycles'. Together they form a unique fingerprint.
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Keyphrases
Chaotic Behavior
25%
Cycle Properties
25%
Cycle-to-cycle
25%
Data Assimilation Method
100%
Dynamo Models
25%
Ensemble Kalman Filter (EnKF)
50%
Forecast Model
25%
Kalman Filter Algorithm
25%
Low Modes
25%
Low Solar Activity
25%
Magnetic Helicity
25%
Nonlinear Dynamical System Modeling
25%
Observational Data
25%
Solar Cycle
100%
Solar Dynamo
25%
Sunspot Cycle
50%
Sunspot number
50%
Turbulent Dynamo
25%
Variable Magnetics
25%
Physics
Data Assimilation
100%
Nonlinear Dynamical Systems
25%
Solar Activity
25%
Solar Cycle
100%
Solar Dynamo
25%
Sunspot Cycle
50%
Sunspot Number
50%