Impact of non-Gaussian statistics of atmospheric variables on extreme intramonth anomalies : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2017

Идентификатор DOI: 10.1134/S0001433817030070

Ключевые слова: atmospheric variations, atmospheric vortices, probability distribution function

Аннотация: The analysis of asymmetry of probability distribution functions (PDF) is carried out for key atmospheric variables using the JRA-55 reanalysis data in the troposphere of the Northern Hemisphere for 1976–2014. The nonzero asymmetry of the PDF indicates the deviation of the PDF from the normal distribution. The analysis was carried oПоказать полностьюut for two time-scale intervals: synoptic variability (SV) of 2–7 days and low-frequency variability (LV) of 9–30 days. Statistically significant deviations from the normal probability distribution occur in the regions of the most frequent formation of atmospheric baroclinic perturbations, i.e., over the western parts of the oceans in midlatitudes and downstream in the atmosphere. In the SV time-scale interval, a negative asymmetry of the vertical velocity is revealed in isobaric coordinates for the entire thickness of the free troposphere, which agrees with the overall dominance of cyclonic anomalies in this interval of time scales. In the LV interval, the asymmetry of this variable in the entire free troposphere is positive, which indicates the dominance of anticyclonic anomalies at these time scales. For the zonal velocity, temperature, and geopotential, the asymmetry sign of the PDF for variability with time scales of 2–7 days is different for the upper and lower free troposphere. The asymmetry of the PDF for atmospheric variables indicates the important role of the intermode interaction in the formation of baroclinic perturbations. The corresponding deviations of synoptic variability from the normal distribution, which is found in the upper troposphere of the subpolar and polar latitudes, can be related to the interaction of these perturbations with the winter polar vortex. These deviations of PDF from the normal distribution substantially increase the probability of the appearance of large (in absolute value) anomalies as compared to the case of the Gaussian PDF. © 2017, Pleiades Publishing, Ltd.

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Издание

Журнал: Izvestiya - Atmospheric and Ocean Physics

Выпуск журнала: Vol. 53, Is. 3

Номера страниц: 269-278

ISSN журнала: 00014338

Издатель: Maik Nauka-Interperiodica Publishing

Персоны

  • Loginov S.V. (Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences, Tomsk, Russian Federation)
  • Eliseev A.V. (A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russian Federation, Kazan Federal University, Kazan, Russian Federation, Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russian Federation)
  • Mokhov I.I. (A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russian Federation, Moscow State University, Moscow, Russian Federation, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow oblast, Russian Federation)

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