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Investigating added value of regional climate modeling in North American winter storm track simulations

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Academic year: 2021

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Table  1  gives details of all the datasets used in this  study. Before the storm-tracking algorithm (described in  the next section) was run, simulations were all  interpo-lated on a common 100-km polar stereographic (PS100)  projection with an identical
Figure  2  displays spatial structures of storm genesis (top)  and lysis (bottom) rates as defined in the “  Methodol-ogy ” section, for NARR and the three driving datasets
Fig. 3   Same as Fig.  2  but for storm occurrence (top panels). Driv- Driv-ing-data occurrence biases with respect to NARR (middle panels)  and ERAI (bottom panels) are also shown
Fig. 4   Same as Fig.  3  but for storm intensity (in CVU). High intensity values (>5 CVU) are delimited with the dark brown contour
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