Abstract:[1] Using GPS radio occultation data during 2001-2005, we studied the climatological behavior of atmospheric gravity waves in the polar stratosphere. We calculated temperature fluctuations with vertical wavelengths shorter than 7 km and then determined the wave potential energy, E p , every month in a longitude-latitude cell of 20°Â 10°b etween 12 km and 33 km. In the Arctic region (50-90°N), E p shows an annual variation with maximum in winter, consistent with the zonal mean horizontal wind, V, and the Eliass… Show more
“…The ratio at 10 • S-10 • N latitude showed a steady enhancement, exceeding 1.0, regardless of season and longitude. The ratio at middle latitudes in the NH in region (a) was significantly enhanced in winter, being close to 1.0, suggesting the evident effects of topography in generating GWs by the Tibetan Plateau, located at around 30-50 • N ( Alexander et al, 2008a;Hei et al, 2008). At 50-80 • N the ratio was about 0.6-0.75 in winter, again indicating a relationship with topography (refer to Fig.…”
Section: Comparison Of Seasonal Cycles Among Different Parametersmentioning
confidence: 58%
“…However, at 45-65 • S in region (a), the annual cycle seen at low latitudes became unclear, indicating a gap at around 45 • S. However, in region (b), the seasonal cycle was extended smoothly down to about 55 • S. Thus, effects of topography (Australian continent) seem to be important in the E T p variations in region (a). In the Antarctic region, E T p became maximum in spring, showing a good correlation with the polar vortex (Yoshiki et al, 2004;Baumgaertner and McDonald, 2007;Hei et al, 2008;Sato et al, 2012). The differences in the magnitudes of E T p between regions (a) and (b) could be attributed to the difference in topography.…”
Section: Latitude-time Distribution Of Gw Activitymentioning
confidence: 80%
“…Orographic generation of GWs has previously been observed with balloon soundings and satellite measurements over the Andes (Alexander et al, 2008a) and Antarctica (Baumgaertner and McDonald, 2007;Sato and Yoshiki, 2008). Effects of the polar night jet and sudden stratospheric warming events on GW excitation have also been studied (Yoshiki et al, 2004;Hei et al, 2008).…”
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
“…The ratio at 10 • S-10 • N latitude showed a steady enhancement, exceeding 1.0, regardless of season and longitude. The ratio at middle latitudes in the NH in region (a) was significantly enhanced in winter, being close to 1.0, suggesting the evident effects of topography in generating GWs by the Tibetan Plateau, located at around 30-50 • N ( Alexander et al, 2008a;Hei et al, 2008). At 50-80 • N the ratio was about 0.6-0.75 in winter, again indicating a relationship with topography (refer to Fig.…”
Section: Comparison Of Seasonal Cycles Among Different Parametersmentioning
confidence: 58%
“…However, at 45-65 • S in region (a), the annual cycle seen at low latitudes became unclear, indicating a gap at around 45 • S. However, in region (b), the seasonal cycle was extended smoothly down to about 55 • S. Thus, effects of topography (Australian continent) seem to be important in the E T p variations in region (a). In the Antarctic region, E T p became maximum in spring, showing a good correlation with the polar vortex (Yoshiki et al, 2004;Baumgaertner and McDonald, 2007;Hei et al, 2008;Sato et al, 2012). The differences in the magnitudes of E T p between regions (a) and (b) could be attributed to the difference in topography.…”
Section: Latitude-time Distribution Of Gw Activitymentioning
confidence: 80%
“…Orographic generation of GWs has previously been observed with balloon soundings and satellite measurements over the Andes (Alexander et al, 2008a) and Antarctica (Baumgaertner and McDonald, 2007;Sato and Yoshiki, 2008). Effects of the polar night jet and sudden stratospheric warming events on GW excitation have also been studied (Yoshiki et al, 2004;Hei et al, 2008).…”
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
“…However, global satellite observations are needed to determine dominant tropospheric source regions and processes as well as global propagation pathways and the resulting gravity wave drag imposed on the mean flow to constrain GW parameterizations for climate and weather prediction models (Alexander et al, 2010;Geller et al, 2013). Since the pioneering work by Fetzer and Gille (1994), Wu and Waters (1996), and Eckermann and Preusse (1999) there have been many attempts to characterize the global distribution of gravity wave activity using such different remote-sensing techniques as Limb (e.g., Ern et al, 2004Ern et al, , 2011Preusse et al, 2009;Zhang et al, 2012) and Nadir sounders (e.g., Hoffmann et al, 2016;Ern et al, 2017), as well as GPS-based radio occultation (RO) measurements (e.g., Tsuda et al, 2000;Hei et al, 2008;Schmidt et al, 2008Schmidt et al, , 2016Fröhlich et al, 2007;Hindley et al, 2015;Šácha et al, 2015;Khaykin et al, 2015;Khaykin, 2016). This paper focusses on the derivation of gravity wave potential energy densities (E P ) from GPS RO measurements on board the operational METOP-A and METOP-B satellites operated by EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) and the subsequent systematic comparison of E P fields with ECMWF (European Centre for Medium-Range Weather Forecasts) operational forecast and reanalysis data.…”
Abstract. Temperature profiles based on radio occultation (RO) measurements with the operational European METOP satellites are used to derive monthly mean global distributions of stratospheric (20-40 km) gravity wave (GW) potential energy densities (E P ) for the period July 2014-December 2016. In order to test whether the sampling and data quality of this data set is sufficient for scientific analysis, we investigate to what degree the METOP observations agree quantitatively with ECMWF operational analysis (IFS data) and reanalysis (ERA-Interim) data. A systematic comparison between corresponding monthly mean temperature fields determined for a latitude-longitude-altitude grid of 5 • by 10 • by 1 km is carried out. This yields very low systematic differences between RO and model data below 30 km (i.e., median temperature differences is between −0.2 and +0.3 K), which increases with height to yield median differences of +1.0 K at 34 km and +2.2 K at 40 km. Comparing E P values for three selected locations at which also ground-based lidar measurements are available yields excellent agreement between RO and IFS data below 35 km. ERA-Interim underestimates E P under conditions of strong local mountain wave forcing over northern Scandinavia which is apparently not resolved by the model. Above 35 km, RO values are consistently much larger than model values, which is likely caused by the model sponge layer, which damps small-scale fluctuations above ∼ 32 km altitude. Another reason is the wellknown significant increase of noise in RO measurements above 35 km. The comparison between RO and lidar data reveals very good qualitative agreement in terms of the seasonal variation of E P , but RO values are consistently smaller than lidar values by about a factor of 2. This discrepancy is likely caused by the very different sampling characteristics of RO and lidar observations. Direct comparison of the global data set of RO and model E P fields shows large correlation coefficients (0.4-1.0) with a general degradation with increasing altitude. Concerning absolute differences between observed and modeled E P values, the median difference is relatively small at all altitudes (but increasing with altitude) with an exception between 20 and 25 km, where the median difference between RO and model data is increased and the corresponding variability is also found to be very large. The reason for this is identified as an artifact of the E P algorithm: this erroneously interprets the pronounced climatological feature of the tropical tropopause inversion layer (TTIL) as GW activity, hence yielding very large E P values in this area and also large differences between model and observations. This is because the RO data show a more pronounced TTIL than IFS and ERA-Interim. We suggest a correction for this effect based on an estimate of this "artificial" E P using monthly mean zonal mean temperature profiles. This correction may be recommended for application to data sets that can only be analyzed using a vertical background determination me...
“…Gravity wave activity has been statistically investigated based on various observations (Tsuda et al, 1990;Manson and Meek, 1993;Nekrasov et at., 1995;Vincent and Alexander, 2000;Zink and Vincent, 2001;Alexander and Teitelbaum, 2007;Yi, 2005, 2007;Hei et al, 2008;Zhang et al, 2010), and possible mechanisms of generation and dissipation of gravity waves have been extensively explored in the past decades (Walterscheid and Schubert, 1990;Fovell et al, 1992;Fritts and Luo, 1992;Alexander et al, 1995;Hecht, 2001;Lane et al, 2001;Kshevetskii and Gavrilov, 2005;Liu and Gardner, 2005;Liu, 2009;Vadas and Liu, 2009). Nonlinearity is an important aspect of gravity wave dynamics.…”
Abstract. Nonlinear interactions of gravity waves are studied with a two-dimensional, fully nonlinear model. The energy exchanges among resonant and near-resonant triads are examined in order to understand the spectral energy transfer through interactions. The results show that in both resonant and near-resonant interactions, the energy exchange between two high frequency waves is strong, but the energy transfer from large to small vertical scale waves is rather weak. This suggests that the energy cascade toward large vertical wavenumbers through nonlinear interaction is inefficient, which is different from the rapid turbulence cascade. Because of considerable energy exchange, nonlinear interactions can effectively spread high frequency spectrum, and play a significant role in limiting wave amplitude growth and transferring energy into higher altitudes. In resonant interaction, the interacting waves obey the resonant matching conditions, and resonant excitation is reversible, while near-resonant excitation is not so. Although near-resonant interaction shows the complexity of match relation, numerical experiments show an interesting result that when sum and difference near-resonant interactions occur between high and low frequency waves, the wave vectors tend to approximately match in horizontal direction, and the frequency of the excited waves is also close to the matching value.
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