Articles | Volume 15
Adv. Sci. Res., 15, 1–9, 2018
Adv. Sci. Res., 15, 1–9, 2018
25 Jan 2018
25 Jan 2018

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

Sigalit Berkovic

Related authors

Validation of StreamLine XR Doppler Lidar wind observations using in-situ measurements and WRF simulations
Tamir Tzadok, Ayala Ronen, Dorita Rostkier-Edelstein, Eyal Agassi, David Avisar, Sigalit Berkovic, and Alon Manor
Atmos. Meas. Tech. Discuss.,,, 2022
Revised manuscript not accepted
Short summary

Cited articles

Alpert, P., Osetinsky, I., Ziv, B., and Shafir, H.: Semi-objective classification for daily synoptic systems: Application to the Eastern Mediterranean climate change, Int. J. Climatol., 24, 1001–1011,, 2004. 
Beaver, S. and Palazoglu, A.: Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality, J. Appl. Meteorol. Clim., 45, 1710,, 2006. 
Berkovic, S.: Synoptic Classes as a Predictor of Hourly Surface Wind Regimes: The Case of the Central and Southern Israeli Coastal Plains, J. Appl. Meteorol. Clim., 55, 1533–1547,, 2016. 
Berkovic, S.: Winter wind regimes over Israel using self-organizing maps, JAMC, 56, 2671,, 2017. 
Berrisford, P., Dee, D. P., Poli, P., Brugge, R., Fielding, K., Fuentes, M., Kållberg, P. W., Kobayashi, S., Uppala, S., and Simmons, A.: (last access: January 2018), 2011. 
Short summary
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.