Global distribution of vertical wavenumber spectra in the lower stratosphere observed using high-vertical-resolution temperature profiles from COSMIC GPS radio occultation

Abstract

Abstract. We retrieved temperature (T ) profiles with a high vertical resolution using the full spectrum inversion (FSI) method from the Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) GPS radio occultation (GPS-RO) data from January 2007 to December 2009. We studied the characteristics of temperature perturbations in the stratosphere at 20-27 km altitude. This height range does not include a sharp jump in the background Brunt-Väisälä frequency squared (N 2 ) near the tropopause, and it was reasonably stable regardless of season and latitude. We analyzed the vertical wavenumber spectra of gravity waves (GWs) with vertical wavelengths ranging from 0.5 to 3.5 km, and we integrated the (total) potential energy E T p . Another integration of the spectra from 0.5 to 1.75 km was defined as E S p for short vertical wavelength GWs, which was not studied with the conventional geometrical optics (GO) retrievals. We also estimated the logarithmic spectral slope (p) for the saturated portion of spectra with a linear regression fitting from 0.5 to 1.75 km.Latitude and time variations in the spectral parameters were investigated in two longitudinal regions: (a) 90-150 • E, where the topography was more complicated, and (b) 170-230

Magnitudes of Gravity Wave Pseudomomentum Flux Derived by Combining COSMIC Radio Occultation and ERA-Interim Reanalysis Data

“…As described in Section 2.2, vertical wave parameters are deduced from COSMIC RO temperature profiles. The time-latitude and latitude-altitude distribution patterns of the Brunt-Väisälä frequencies (not shown here) are similar to those of Noersomadi et al [18], although…”

“…As described in Section 2.2, vertical wave parameters are deduced from COSMIC RO temperature profiles. The time-latitude and latitude-altitude distribution patterns of the Brunt-Väisälä frequencies (not shown here) are similar to those of Noersomadi et al [18], although their altitude interval was 20-27 km. The distributions of Ep and vertical wavelengths, which are prerequisites for determining GW PMF, are presented in Figure 2.…”

Analysis of gravity wave activity during stratospheric sudden warmings in the northern hemisphere

“…A large number of satellite-mounted instruments have been used to observe temporal and spatial distribution characteristics of GWs (Wu DL and Waters, 2013;He Y et al, 2022b;Ge W et al, 2023). The distribution characteristics of global GW activity have been studied, and the impact of background wind field on GWs has been discussed (Tsuda et al, 2016;Jia MJ et al, 2018;Wu JF et al, 2018;Ge W et al, 2019;Yi W et al, 2019;He Y et al, 2020d;Ern et al, 2022). Although results obtained by data from these satellites are sufficiently detailed, there are still deficiencies, such as low spatial resolution and low data density, leading to limited knowledge of spatial distribution and temporal variation of GWs.…”

Contribution of gravity waves to universal vertical wavenumber (~m^(-3)) spectra revealed by a gravity-wave-permitting general circulation model

“…The universal spectra have also been reported by satellite observations. Some satellite observations have considerably high vertical resolutions, such as GPS radio occultation data (e.g., Tsuda et al, 2011;Noersomadi & Tsuda, 2016) and Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) (e.g., Yan et al 2018). However, their horizontal resolutions are in general not so high.…”