2006
DOI: 10.1029/2006gl027696
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A global analysis of wave potential energy in the lower stratosphere derived from 5 years of GPS radio occultation data with CHAMP

Abstract: This paper presents the first results of the global long‐term potential energy and mean potential energy per unit mass associated to wave activity (WA) in the lower and middle stratosphere, obtained from Global Positioning System radio occultation (GPS‐RO) temperature profiles, retrieved during the last 5 years from the CHAMP (CHAllenging Minisatellite Payload) satellite. We excluded temperature variations corresponding to the wavelike character of the Quasi Biennial oscillation (QBO). Possible limitations and… Show more

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Cited by 74 publications
(115 citation statements)
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“…This finding is consistent with what has been observed by Aura MLS (Wu and Eckermann, 2006). Some of the previous studies using radiosonde and GPS also found suppression of GWs in the QBO westerly phase (e.g., Wang and Geller, 2003;Torre et al, 2006), but they suggest that this suppression occur right along the descending of the zero-wind line of the QBO westerly phase. This is mainly caused by Kelvin waves that are unavoidably blended in the measurements from radiosonde and GPS.…”
Section: Interannual Variations At the Equatorial Regionsupporting
confidence: 91%
“…This finding is consistent with what has been observed by Aura MLS (Wu and Eckermann, 2006). Some of the previous studies using radiosonde and GPS also found suppression of GWs in the QBO westerly phase (e.g., Wang and Geller, 2003;Torre et al, 2006), but they suggest that this suppression occur right along the descending of the zero-wind line of the QBO westerly phase. This is mainly caused by Kelvin waves that are unavoidably blended in the measurements from radiosonde and GPS.…”
Section: Interannual Variations At the Equatorial Regionsupporting
confidence: 91%
“…A modulation function finally matches the perturbations to observed climatologies. More details of the buildup of the synthetic profiles is given by de la Torre et al (2010). For each latitude there were 500 created profiles, which allowed to calculate mean (reference) values of average temperature variance (mean average variance over 500 profiles) and their uncertainty (the standard deviation of the average variance over 500 profiles).…”
Section: Resultsmentioning
confidence: 99%
“…This has been concluded after almost a decade of work on global wave climatologies obtained from GPS RO satellite data (see, e.g. Steiner and Kirchengast, 2000;Tsuda et al, 2000;Ratnam et al, 2004;de la Torre et al, 2006;Namboothiri et al, 2008), which allowed to analyze, for the first time, a large amount of temperature profiles including both the troposphere and stratosphere. A large difference close to the LRT (lapse rate tropopause) between the temperature profile measured by a GPS RO example and the corresponding background determined by a filter (Scavuzzo et al, 1998) may be seen in Fig.…”
Section: Separation Of Background and Perturbationsmentioning
confidence: 99%
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“…The vertical resolution of the temperature profiles typically ranges from 0.5 km in the lower troposphere to 1.4 km in the stratosphere (Kursinski et al, 1997), therefore only waves with vertical wavelengths greater than 2.8 km can be detected in our study. Several kilometers long columns may be needed for calculating the average energy (de la Torre et al, 2006c) and here we will follow this procedure. Wave activity was quantified by calculating the mean potential energy per unit mass E p through the average relative temperature T variance between altitudes z 1 and z 2 in each profile (Tsuda et al, 2000):…”
Section: Data Set and Analysis Methodsmentioning
confidence: 99%