Based on the super-resolution reconstruction technique in machine learning
this paper proposes a hybrid downsampling skip connection (DSC)/multi-scale (MS) model for super-resolution reconstruction of three-dimensional typhoon wind fields
and conducts research on super-resolution reconstruction of three-dimensional wind fields across different grid scales. Through comparative analysis of errors in the overall typhoon flow field
average wind profiles in different spatial regions
and radial wind speed distributions
the results indicate that wind fields at kilometer-scale and below can effectively reconstruct refined three-dimensional typhoon wind fields
while reconstruction errors are relatively larger for wind fields above kilometer-scale. This study preliminarily achieves a transition in typhoon wind field reconstruction from kilometer-scale to hectometer-scale.
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