Abstract
The Middle Atmosphere Alomar Radar System (MAARSY) installed at the island of Andoya has been run for continuous probing of atmospheric winds in the upper troposphere and lower stratosphere (UTLS) region. In the current study, we present high-resolution wind measurements during the period between 2010 and 2013 with MAARSY. The spectral analysis applying the Lomb-Scargle periodogram method has been carried out to determine the frequency spectra of vertical wind velocity. From a total of 522 days of observations, the statistics of the spectral slope have been derived and show a dependence on the background wind conditions. It is a general feature that the observed spectra of vertical velocity during active periods (with wind velocity > 10 m s(-1)) are much steeper than during quiet periods (with wind velocity < 10 m s(-1)). The distribution of spectral slopes is roughly symmetric with a maximum at -5/3 during active periods, whereas a very asymmetric distribution with a maximum at around -1 is observed during quiet periods. The slope profiles along altitudes reveal a significant height dependence for both conditions, i.e., the spectra become shallower with increasing altitudes in the upper troposphere and maintain roughly a constant slope in the lower stratosphere. With both wind conditions considered together the general spectra are obtained and their slopes are compared with the background horizontal winds. The comparisons show that the observed spectra become steeper with increasing wind velocities under quiet conditions, approach a spectral slope of -5/3 at a wind velocity of 10 m s(-1) and then roughly maintain this slope (-5/3) for even stronger winds. Our findings show an overall agreement with previous studies;furthermore, they provide a more complete climatology of frequency spectra of vertical wind velocities under different wind conditions.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Physik |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 530 Physik |
URN: | urn:nbn:de:bvb:19-epub-67052-5 |
ISSN: | 0992-7689 |
Sprache: | Englisch |
Dokumenten ID: | 67052 |
Datum der Veröffentlichung auf Open Access LMU: | 19. Jul. 2019, 12:21 |
Letzte Änderungen: | 04. Nov. 2020, 13:48 |