Understanding the atmospheric low-frequency variability is of crucial importance in fields such as climate studies, climate change detection, and extendedrange weather forecast. The Northern Hemisphere climate features the planetary waves as a relevant ingredient of the atmospheric variability. Several observations and theoretical arguments seem to support the idea that winter planetary waves indicator obey a non-Gaussian statistics and may present a multimodal probability density function, thus characterizing the low-frequency portion of the climate system. We show that the upper tropospheric jet strength is a critical parameter in determining whether the planetary waves indicator exhibits a uni- or bimodal behavior, and we determine the relevant threshold value of the jet. These results are obtained by considering the data of the NCEPNCAR and ECMWF reanalyses for the overlapping period. Our results agree with the non-linear orographic theory, which explains the statistical non-normality of the lowfrequency variability of the atmosphere and its possible bimodality.

Does the subtropical jet catalyze the midlatitude atmospheric regimes?

SPERANZA, Antonio
2006-01-01

Abstract

Understanding the atmospheric low-frequency variability is of crucial importance in fields such as climate studies, climate change detection, and extendedrange weather forecast. The Northern Hemisphere climate features the planetary waves as a relevant ingredient of the atmospheric variability. Several observations and theoretical arguments seem to support the idea that winter planetary waves indicator obey a non-Gaussian statistics and may present a multimodal probability density function, thus characterizing the low-frequency portion of the climate system. We show that the upper tropospheric jet strength is a critical parameter in determining whether the planetary waves indicator exhibits a uni- or bimodal behavior, and we determine the relevant threshold value of the jet. These results are obtained by considering the data of the NCEPNCAR and ECMWF reanalyses for the overlapping period. Our results agree with the non-linear orographic theory, which explains the statistical non-normality of the lowfrequency variability of the atmosphere and its possible bimodality.
2006
262
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/115714
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