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AGU: Journal of Geophysical Research, Atmospheres

 

Keywords

  • migrating tides
  • aliasing
  • satellite measurements

Index Terms

  • Geodesy and Gravity: Time variable gravity
  • Atmospheric Processes: Data assimilation
  • Atmospheric Processes: Middle atmosphere dynamics
  • Atmospheric Processes: Mesospheric dynamics
  • Atmospheric Composition and Structure: Pressure, density, and temperature
Abstract
Cited By (7)
 

Abstract

An algorithm for extracting zonal mean and migrating tidal fields in the middle atmosphere from satellite measurements: Applications to TIMED/SABER–measured temperature and tidal modeling

Xun Zhu

Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, USA

Jeng-Hwa Yee

Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, USA

E. R. Talaat

Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, USA

M. Mlynczak

Langley Research Center, NASA, Hampton, Virginia, USA

L. Gordley

G & A Technical Software, Inc., Newport News, Virginia, USA

C. Mertens

Langley Research Center, NASA, Hampton, Virginia, USA

J. M. Russell III

Center for Atmospheric Sciences, Hampton University, Hampton, Virginia, USA

For a data series with grid points that do not uniformly cover a whole wave cycle in both space and time, traditional least squares fitting methods will lead to biased estimates of the zonal mean and wave components as a result of aliasing between these elements. We introduce a set of formal regularity conditions to select available grid points that reduce aliasing while obtaining the zonal mean and tidal components from unevenly sampled or incomplete measurements. The algorithm is used to self-consistently investigate the effect of the zonal mean field on the seasonal variation of diurnal tide in the upper middle atmosphere using temperature measured by the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instrument onboard the Thermosphere-Ionosphere-Mesosphere Energetics and Dynamics (TIMED) satellite. We first unbiasly derive both the zonal mean and migrating tidal components from the measurements, then simulate the seasonal variation of the migrating diurnal tide using a spectral tidal model with the measured zonal mean as input, and finally compare the seasonal variation of the measured tide with the modeled one. The model and measurement comparisons show self-consistently and more conclusively the dominant effect of the zonal mean wind on the seasonal variation of the migrating diurnal tide in the upper middle atmosphere.

Received 7 May 2004; accepted 18 November 2004; published 19 January 2005.

Citation: Zhu, X., J.-H. Yee, E. R. Talaat, M. Mlynczak, L. Gordley, C. Mertens, and J. M. Russell III (2005), An algorithm for extracting zonal mean and migrating tidal fields in the middle atmosphere from satellite measurements: Applications to TIMED/SABER–measured temperature and tidal modeling, J. Geophys. Res., 110, D02105, doi:10.1029/2004JD004996.

Cited By

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