Abstract

Abstract. We present the zonal mean temperature variations for the quasi-biennial oscillation (QBO) and the semiannual oscillation (SAO) based on data from SABER on the TIMED spacecraft (years 2002 to 2004) and from MLS on the UARS mission (1992 to 1994). The SABER measurements provide the rare opportunity to analyze data from one instrument over a wide altitude range (15 to 95 km), while MLS data were taken in the 16 to 55 km altitude range a decade earlier. The results are presented for latitudes from 48° S to 48° N. New results are obtained for the QBO, especially in the upper stratosphere and mesosphere, and at mid-latitudes. At Equatorial latitudes, the QBO amplitudes show local peaks, albeit small, that occur at different altitudes. From about 20 to 40 km, and within about 15° of the Equator, the amplitudes can approach 3.5° K for the stratospheric QBO (SQBO). For the mesospheric QBO (MQBO), we find peaks near 70 km, with temperature amplitudes reaching 3.5° K, and near 85 km, the amplitudes approach 2.5° K. Morphologically, the amplitude and phase variations derived from the SABER and MLS measurements are in qualitative agreement. As a function of latitude, the QBO amplitudes tend to peak at the Equator but then increase again pole-ward of about 15° to 20°. The phase progression with altitude varies more gradually at the Equator than at mid-latitudes. Many of the SAO results presented are also new, in part because measurements were not previously available or were more limited in nature. At lower altitudes near 45 km, within about 15° of the Equator, the temperature amplitudes for the stratospheric SAO (SSAO) reveal a local maximum of about 5° K. At higher altitudes close to the Equator, our results show separate peaks of about 7° K near 75 and 90 km for the mesospheric SAO (MSAO). In the SAO results, significant inter-annual differences are evident, with the amplitudes being largest in 2002 relative to 2003 and 2004. As in the case for the QBO, the SAO temperature amplitudes go through minima away from the Equator, and then increase towards mid latitudes, especially at altitudes above 55 km. We compare our findings with previously published empirical results, and with corresponding results from the numerical spectral model (NSM). Although not a focus of this study, we also show results for the inter-annual variations (which appear to be generated at least in part by the QBO) of the migrating diurnal tide. In the upper mesosphere, their amplitudes can approach 20° K, and they are derived jointly with the zonal-mean components.

Highlights

  • The zonal-mean temperature variations of the Semi-annual Oscillation (SAO) and Quasi-biennial Oscillation (QBO) in the stratosphere and mesosphere are produced mainly by dynamical processes, which are associated with the zonal circulation that dominates at, and is confined to equatorial latitudes

  • New results are obtained for the QBO, especially in the upper stratosphere and mesosphere, and at mid-latitudes where there has been a dearth of observations

  • Since the diurnal tides are an integral part of the data, we present some results to describe their inter-annual variations that may be tied to the QBO

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Summary

Introduction

The zonal-mean temperature variations of the Semi-annual Oscillation (SAO) and Quasi-biennial Oscillation (QBO) in the stratosphere and mesosphere are produced mainly by dynamical processes, which are associated with the zonal circulation that dominates at, and is confined to equatorial latitudes. For a given latitude and orbital mode, the local times of the measurements decrease by about 12 and 20 min for TIMED and UARS, respectively Using both orbital modes, it takes 60 days for SABER and 36 days for MLS to sample the data over the full range of local times, thereby providing more information on variations with local time, compared to sun-synchronous satellites. Applying least square analysis to the satellite data at a given altitude and latitude, the algorithm estimates the coefficients of a two-dimensional Fourier series with the independent variables being local solar time and day-of-year.

Zonal-mean components
Diurnal tides
QBO model
SAO model
Discussion and summary
QBO observations
SAO observations
Model comparison
Full Text
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