Wind regimes and their relation to synoptic variables using self-organizing maps

  • Berkovic S
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Abstract

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.

Figures

  • Figure 1. The East Mediterranean region (a) and the studied area (b) showing Jerusalem (Jeru), the Dead Sea (D-S), the Sea of Galilee (S-G), Jezreel valley (Jez). The locations of the 53 IMS stations are denoted by circles. The topography height above sea level [m] is denoted by colors and contour lines.
  • Table 1. The winter synoptic groups and classes.
  • Figure 2. 12:00 UTC winter, spring and autumn. (a) Average surface wind [m s−1] patterns and (b) S-steadiness parameter. These values were calculated according to 4× 3 SOM classification. The node number and the average (over the 53 stations) number of events, Nd, are shown at the top of each sub-figure. Red lines designate strong eastern wind regimes. Blue lines designate strong western wind regimes.
  • Figure 3. Number of occurrences for each node per month.
  • Figure 4. 12:00 UTC winter spring and autumn, ERA-INTERIM averages according to 4× 3 SOM wind regimes (displayed in Fig. 2). The node number is shown at the top of each sub-figure. (a) Average geopotential height anomalies over the EM [m2 s−2] at 925 hPa. (b) Average temperature [◦C] at 1000 hPa. (c) Average specific humidity [dg kg−1] at 925 hPa. (d) Average synoptic wind [m s−1] at 1000 hPa.

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CITATION STYLE

APA

Berkovic, S. (2018). Wind regimes and their relation to synoptic variables using self-organizing maps. Advances in Science and Research, 15, 1–9. https://doi.org/10.5194/asr-15-1-2018

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