Intra-annual variations of spectrally resolved gravity wave activity in the upper mesosphere/lower thermosphere (UMLT) region

The period range between 6 and 480 min is known to represent the major part of the gravity wave spectrum driving mesospheric dynamics. We present a method using wavelet analysis to calculate gravity wave activity with a high period resolution and apply it to temperature data acquired with the OH* ai...

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Bibliographic Details
Published in:Atmospheric measurement techniques Vol. 13; no. 9; pp. 5117 - 5128
Main Authors: Sedlak, René, Zuhr, Alexandra, Schmidt, Carsten, Wüst, Sabine, Bittner, Michael, Didebulidze, Goderdzi G, Price, Colin
Format: Journal Article
Language:English
Published: Katlenburg-Lindau Copernicus GmbH 29-09-2020
Copernicus Publications
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Summary:The period range between 6 and 480 min is known to represent the major part of the gravity wave spectrum driving mesospheric dynamics. We present a method using wavelet analysis to calculate gravity wave activity with a high period resolution and apply it to temperature data acquired with the OH* airglow spectrometers called GRIPS (GRound-based Infrared P-branch Spectrometer) within the framework of the NDMC (Network for the Detection of Mesospheric Change; https://ndmc.dlr.de, last access: 22 September 2020). We analyse data measured at the NDMC sites Abastumani in Georgia (ABA; 41.75.sup." N, 42.82.sup." E), ALOMAR (Arctic Lidar Observatory for Middle Atmosphere Research) in Norway (ALR; 69.28.sup." N, 16.01.sup." E), Neumayer Station III in the Antarctic (NEU; 70.67.sup." S, 8.27.sup." W), Observatoire de Haute-Provence in France (OHP; 43.93.sup." N, 5.71.sup." E), Oberpfaffenhofen in Germany (OPN; 48.09.sup." N, 11.28.sup." E), Sonnblick in Austria (SBO; 47.05.sup." N, 12.95.sup." E), Tel Aviv in Israel (TAV; 32.11.sup." N, 34.80.sup." E), and the Environmental Research Station Schneefernerhaus on top of Zugspitze mountain in Germany (UFS; 47.42.sup." N, 10.98.sup." E). All eight instruments are identical in construction and deliver consistent and comparable data sets.
ISSN:1867-8548
1867-1381
1867-8548
DOI:10.5194/amt-13-5117-2020