11 Years of Rayleigh Lidar Observations of Gravity Wave Activity Above the Southern Tip of South America
Gravity wave (GW) activity is analyzed using temperature (T) data retrieved from a Rayleigh light detection and ranging (lidar) at Río Gallegos, Argentina (51.6°S, 69.3°W). GW characteristics are derived from 302 nights of observations providing more than 1,018 hr of high-resolution lidar data betwe...
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Blackwell Publishing Ltd
2019
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| LEADER | 24255caa a22013577a 4500 | ||
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| 001 | PAPER-25744 | ||
| 003 | AR-BaUEN | ||
| 005 | 20251006094219.0 | ||
| 008 | 190410s2019 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-85060258392 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Llamedo, P. | |
| 245 | 1 | 0 | |a 11 Years of Rayleigh Lidar Observations of Gravity Wave Activity Above the Southern Tip of South America |
| 260 | |b Blackwell Publishing Ltd |c 2019 | ||
| 270 | 1 | 0 | |m Llamedo, P.; LIDTUA, CIC, Facultad de Ingeniería, Universidad Austral and CONICETArgentina; email: pllamedo@austral.edu.ar |
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| 506 | |2 openaire |e Política editorial | ||
| 520 | 3 | |a Gravity wave (GW) activity is analyzed using temperature (T) data retrieved from a Rayleigh light detection and ranging (lidar) at Río Gallegos, Argentina (51.6°S, 69.3°W). GW characteristics are derived from 302 nights of observations providing more than 1,018 hr of high-resolution lidar data between 20- and 56-km height from August 2005 to December 2015. T measurements are performed by a Differential Absorption Lidar instrument. This lidar was the southernmost outside Antarctica until the end of 2017. Río Gallegos is an exceptional place to observe large amplitude GW. Every lidar measurement is classified according to its relative position to the polar vortex. The lidar measurements are compared with collocated Sounding of the Atmosphere using Broadband Emission Radiometry and Global Positioning System-Radio Occultation data. The different instruments show different windows of the GW spectrum, providing complementary observations. In general, the geometric mean of the specific GW potential energy (PE) is larger during winter and spring than during summer and autumn. The largest geometric mean of PE is found inside the vortex and decreases monotonically at its edge, outside it and when there is no vortex. The same behavior is observed with satellite data. On average, it can be seen that lidar observations provide larger PE values than limb sounding measurements. From a Morlet continuous wavelet transform analysis, three distinct modes are captured from Sounding of the Atmosphere using Broadband Emission Radiometry and from Global Positioning System-Radio Occultation data at the upper and lower stratosphere, respectively. In particular, a systematic 3.5- to 4-year oscillation, possibly related to El Niño–Southern Oscillation is observed. ©2018. American Geophysical Union. All Rights Reserved. |l eng | |
| 536 | |a Detalles de la financiación: Japan Science and Technology Agency | ||
| 536 | |a Detalles de la financiación: Science and Technology Research Partnership for Sustainable Development | ||
| 536 | |a Detalles de la financiación: Japan International Cooperation Agency | ||
| 536 | |a Detalles de la financiación: Manuscript prepared under grants CONICET PIP11220120100034 and ANPCYT PICT2013-1097. P. Llamedo, J. Salvador, A. de la Torre, J. Quiroga, P. Alexander, and R. Hierro are members of CONICET. This research was supported by the Science and Technology Research Partnership for Sustainable Development (SATREPS), Japan Science and Technology Agency (JST), and Japan International Cooperation Agency (JICA). The DIAL construction and maintenance since 2005 were supported by projects from ANPCYT, CONICET, and CNRS. MIMOSA model data were downloaded from aeris-data.fr/mimosa. According to AGU data policy, an archive weblink to the lidar data may found at https:// figshare.com/s/ca19a838a78ca5afe1d4. GPS RO and TIMED/SABER data were downloaded, respectively, from http:// cdaac-www.cosmic.ucar.edu/cdaac- products.html and http://saber.gats- inc.com/browse_data.php. | ||
| 593 | |a LIDTUA, CIC, Facultad de Ingeniería, Universidad Austral and CONICET, Buenos Aires, Argentina | ||
| 593 | |a Laser and Application Research Center (CEILAP)–UNIDEF (MINDEF-CONICET)Villa Martelli, Argentina | ||
| 593 | |a Facultad Regional Buenos Aires (UTN-FRBA), Universidad Tecnológica Nacional, Buenos Aires, Argentina | ||
| 593 | |a Universidad Nacional de la Patagonia Austral, Unidad Académica Río Gallegos, and CIT, Río Gallegos, Argentina | ||
| 593 | |a Instituto de Física de Buenos Aires, CONICET, Buenos Aires, Argentina | ||
| 593 | |a Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany | ||
| 593 | |a LATMOS, UVSQ University Paris Saclay, UPMC University Paris 06, CNRS, Guyancourt, France | ||
| 651 | 4 | |a SOUTHEN SOUTH AMERICA | |
| 690 | 1 | 0 | |a GPS RO; SABER |
| 690 | 1 | 0 | |a GRAVITY WAVES ACTIVITY |
| 690 | 1 | 0 | |a LIDAR |
| 690 | 1 | 0 | |a POLAR VORTEX |
| 690 | 1 | 0 | |a STRATOSPHERE |
| 700 | 1 | |a Salvador, Jacobo Omar | |
| 700 | 1 | |a de la Torre, A. | |
| 700 | 1 | |a Quiroga, Jonathan Javier | |
| 700 | 1 | |a Alexander, P. | |
| 700 | 1 | |a Hierro, R. | |
| 700 | 1 | |a Schmidt, T. | |
| 700 | 1 | |a Pazmiño, Andrea Fernanda | |
| 700 | 1 | |a Quel, Eduardo Jaime | |
| 773 | 0 | |d Blackwell Publishing Ltd, 2019 |g v. 124 |h pp. 451-467 |k n. 2 |p J. Geophys. Res. Atmos. |x 2169897X |w (AR-BaUEN)CENRE-419 |t Journal of Geophysical Research: Atmospheres | |
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| 856 | 4 | 0 | |u https://doi.org/10.1029/2018JD028673 |y DOI |
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