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Synoptic Classes as a Predictor of Hourly Surface Wind Regimes: The Case of the Central and Southern Israeli Coastal Plains

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  • 1 Department of Mathematics, Israel Institute for Biological Research, Ness Ziona, Israel
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Abstract

This work considers whether it is possible to use semiobjective synoptic classes as a year-round predictor of hourly surface winds in Israel. Previous literature has quantitatively characterized the hourly surface flow during the summer under a single synoptic group—the Persian trough—but no quantitative verification has been made for the other seasons. This study undertook a statistical characterization of the surface winds under frequent synoptic classes. The calculated statistical parameters were averages, standard deviations, steadiness, and statistical significance, determined using measurements from 12 weather stations of the Israel Meteorological Service. High steadiness of the surface wind field was found for a significant number of hours. The verification of the characterization at 0000 UTC by two calculations, the first according to the class defined at the previous 1200 UTC and the second according to the next 1200 UTC, showed similar results. Therefore, the synoptic class can be used as a predictor of hourly surface winds during the entire year. These statistical results provide an automatic prediction of the hourly surface wind average and standard deviation according to synoptic class. They may aid in risk assessment or statistical downscaling of seasonal or monthly winds. Such applications can be employed in other parts of Israel. Typical values for hours at which steady flow was obtained are as follows: steadiness > 0.65, wind direction standard deviation < 60°, wind speed standard deviation of 1–2 m s−1, and sector direction widths of 50°–150°, within 70% statistical significance.

Publisher’s Note: This article was revised on 27 July 2016 to correct editing errors in the column headers of Table 2.

Supplemental information related to this paper is available at the Journals Online website: http://dx.doi.org/10.1175/JAMC-D-16-0093.s1.

Corresponding author address: Sigalit Berkovic, P.O.B. 19, Ness Ziona 7410001, Israel. E-mail: berkovic@iibr.gov.il

Abstract

This work considers whether it is possible to use semiobjective synoptic classes as a year-round predictor of hourly surface winds in Israel. Previous literature has quantitatively characterized the hourly surface flow during the summer under a single synoptic group—the Persian trough—but no quantitative verification has been made for the other seasons. This study undertook a statistical characterization of the surface winds under frequent synoptic classes. The calculated statistical parameters were averages, standard deviations, steadiness, and statistical significance, determined using measurements from 12 weather stations of the Israel Meteorological Service. High steadiness of the surface wind field was found for a significant number of hours. The verification of the characterization at 0000 UTC by two calculations, the first according to the class defined at the previous 1200 UTC and the second according to the next 1200 UTC, showed similar results. Therefore, the synoptic class can be used as a predictor of hourly surface winds during the entire year. These statistical results provide an automatic prediction of the hourly surface wind average and standard deviation according to synoptic class. They may aid in risk assessment or statistical downscaling of seasonal or monthly winds. Such applications can be employed in other parts of Israel. Typical values for hours at which steady flow was obtained are as follows: steadiness > 0.65, wind direction standard deviation < 60°, wind speed standard deviation of 1–2 m s−1, and sector direction widths of 50°–150°, within 70% statistical significance.

Publisher’s Note: This article was revised on 27 July 2016 to correct editing errors in the column headers of Table 2.

Supplemental information related to this paper is available at the Journals Online website: http://dx.doi.org/10.1175/JAMC-D-16-0093.s1.

Corresponding author address: Sigalit Berkovic, P.O.B. 19, Ness Ziona 7410001, Israel. E-mail: berkovic@iibr.gov.il
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