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Adv. Sci. Res., 15, 1-9, 2018
https://doi.org/10.5194/asr-15-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
25 Jan 2018
Wind regimes and their relation to synoptic variables using self-organizing maps
Sigalit Berkovic Department of Mathematics, IIBR, Ness-Ziona, 7410001, Israel
Abstract. This study exemplifies the ability of the self-organizing maps (SOM) method to directly define well known wind regimes over Israel during the entire year, except summer period, at 12:00 UTC. This procedure may be applied at other hours and is highly relevant to future automatic climatological analysis and applications.

The investigation is performed by analysing surface wind measurements from 53 Israel Meteorological Service stations. The relation between the synoptic variables and the wind regimes is revealed from the averages of ECMWF ERA-INTERIM reanalysis variables for each SOM wind regime.

The inspection of wind regimes and their average geopotential anomalies has shown that wind regimes relate to the gradient of the pressure anomalies, rather than to the specific isobars pattern. Two main wind regimes – strong western and the strong eastern or northern – are well known over this region. The frequencies of the regimes according to seasons is verified. Strong eastern regimes are dominant during winter, while strong western regimes are frequent in all seasons.

Citation: Berkovic, S.: Wind regimes and their relation to synoptic variables using self-organizing maps, Adv. Sci. Res., 15, 1-9, https://doi.org/10.5194/asr-15-1-2018, 2018.
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This study exemplifies the ability of the self-organizing maps method to directly define well known wind regimes over Israel during the entire year, except summer, period at 12:00 UTC. This procedure may be applied at other hours and is highly relevant to future automatic climatological analysis and applications. The investigation is performed by analysing surface wind measurements. The relation between the synoptic variables and the wind regimes is revealed from composite calculations.
This study exemplifies the ability of the self-organizing maps method to directly define well...
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