I'm on the study of the weather condition classfication for the Beijing administrative region. From the knowledge in the references the research area are usually at regional scale (above hundreds km2). I want to know that is it possible for classifying the weather conditions at the city scale? If it is possible, which kind of data will be used?
Dear Ting,
In general, you can do that. First you'll have to specify the spatial and temporal scales of atmospheric processes / circulations (weather conditions) that you want to classify. Scales of weather conditions have to be the same or smaller scales than the sizes of city . There are cities very different sizes from a few hundred meters to several tens of kilometers. Then, you need to have meteorological data in the grid points at distances less than scale of weather conditions that are classify.
Best,
Milivoj B. Gavrilov
I suggest to collect your parameters from different points (regions) in your region of interest, then extract statistically the most important (effective) scales that can represent that region well.
A multiscale decomposition ?(such as pyramids, or wavelets) might be useful to get the relevant scales of interest.
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