Combination of Lidar and Model Data for Studying Deep Gravity Wave Propagation

Ehard, Benedikt; Achtert, Peggy; Dörnbrack, Andreas; Gisinger, Sonja; Gumbel, Jörg; Khaplanov, Mikhail; Rapp, Markus und Wagner, Johannes (2016): Combination of Lidar and Model Data for Studying Deep Gravity Wave Propagation. In: Monthly Weather Review, Bd. 144, Nr. 1: S. 77-98

Abstract

The paper presents a feasible method to complement ground-based middle atmospheric Rayleigh lidar temperature observations with numerical simulations in the lower stratosphere and troposphere to study gravity waves. Validated mesoscale numerical simulations are utilized to complement the temperature below 30-km altitude. For this purpose, high-temporal-resolution output of the numerical results was interpolated on the position of the lidar in the lee of the Scandinavian mountain range. Two wintertime cases of orographically induced gravity waves are analyzed. Wave parameters are derived using a wavelet analysis of the combined dataset throughout the entire altitude range from the troposphere to the mesosphere. Although similar in the tropospheric forcings, both cases differ in vertical propagation. The combined dataset reveals stratospheric wave breaking for one case, whereas the mountain waves in the other case could propagate up to about 40-km altitude. The lidar observations reveal an interaction of the vertically propagating gravity waves with the stratopause, leading to a stratopause descent in both cases.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Physik
• Themengebiete: 500 Naturwissenschaften und Mathematik > 530 Physik
• ISSN: 0027-0644
• Sprache: Englisch