The 2019/2020 QBO Disruption in ADM-Aeolus Wind Lidar Observations

Special Mode ◽

Regular Cycle ◽

Wind Lidar ◽

Lidar Observations ◽

<p><span>The quasi-biennial oscillation (QBO) is a regular cycle of alternating winds which dominates the behaviour of the tropical stratosphere. It is extremely technically challenging to model, and for this reason wind observations are vital to understand it fully. Characterised by downward propagating easterly and westerly regimes, the QBO progressed uninterrupted for more than 60 years until a highly anomalous deviation from its normal pattern in 2016. During 2019/2020, the start of a second disruption was seen in atmospheric analyses and radiosonde observations. Here, we exploit novel data from ESA's ADM-Aeolus satellite to demonstrate its ability to measure the QBO in unprecedented detail. A special adjustment of Aeolus' onboard range bin settings was implemented to observe this new disruption as it happened, providing a unique platform for studying the evolution of the event and the broader atmospheric effects triggered by it. In this presentation, we will show results from this special mode, highlighting how it has helped study the disruption, and how Aeolus and similar satellites can deepen our understanding of the QBO more generally.</span></p>

First Lidar Observations of Quasi‐Biennial Oscillation‐Induced Interannual Variations of Gravity Wave Potential Energy Density at McMurdo via a Modulation of the Antarctic Polar Vortex

Journal of Geophysical Research Atmospheres ◽

10.1029/2020jd032866 ◽

2020 ◽

Vol 125 (16) ◽

Cited By ~ 1

Author(s):

Zimu Li ◽

Xinzhao Chu ◽

V. Lynn Harvey ◽

Jackson Jandreau ◽

Xian Lu ◽

...

Keyword(s):

Energy Density ◽

Potential Energy ◽

Gravity Wave ◽

Polar Vortex ◽

Interannual Variations ◽

Antarctic Polar Vortex ◽

The Antarctic ◽

Lidar Observations ◽

Lidar observations of middle atmosphere temperature variability

Annales Geophysicae ◽

10.1007/s00585-995-0648-0 ◽

1995 ◽

Vol 13 (6) ◽

pp. 648-655 ◽

Cited By ~ 13

Author(s):

G. P. Gobbi ◽

C. Souprayen ◽

F. Congeduti ◽

G. Di Donfrancesco ◽

A. Adriani ◽

...

Keyword(s):

Solar Cycle ◽

Middle Atmosphere ◽

Atmospheric Temperature ◽

Temperature Variability ◽

Temperature Trends ◽

Atmosphere Temperature ◽

Reference Atmosphere ◽

Lidar Observations ◽

Abstract. We discuss 223 middle atmosphere lidar temperature observations. The record was collected at Frascati (42°N–13°E), during the 41-month period January 1989-May 1992, corresponding to the maximum of solar cycle 22. The choice of this interval was aimed at minimizing the temperature variability induced by the 11-year solar cycle. The average climatology over the 41-month period and comparison with a reference atmosphere (CIRA86) are presented. Monthly temperature variability over the full period, during opposite quasi-biennial oscillation phases and on a short-term scale (0.5–4 h), is analyzed. Results indicate the 50–55-km region as less affected by variability caused by the natural phenomena considered in the analysis. Due to this minimum in natural noise characterizing the atmospheric temperature just above the stratopause, observations of that region are well suited to the detection of possible temperature trends induced by industrial activities.

20-year LiDAR observations of stratospheric sudden warming over a mid-latitude site, Observatoire de Haute Provence (OHP; 44° N, 6° E): case study and statistical characteristics

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-7-15739-2007 ◽

2007 ◽

Vol 7 (6) ◽

pp. 15739-15779 ◽

Cited By ~ 4

Author(s):

D. V. Charyulu ◽

V. Sivakumar ◽

H. Bencherif ◽

G. Kirgis ◽

A. Hauchecorne ◽

...

Keyword(s):

Winter Season ◽

Reanalysis Data ◽

Statistical Characteristics ◽

Stratospheric Sudden Warming ◽

Rayleigh Lidar ◽

Environmental Prediction ◽

Lidar Observations ◽

Abstract. The present study delineates the characteristics of Stratospheric Sudden Warming (SSW) events observed over the Observatoire de Haute Provence (OHP: 44° N, 6° E). The study uses 20 years of Rayleigh LiDAR temperature measurements for the period, 1982–2001, which corresponds to 2629 daily temperature profiles. Characteristics of warming events, such as type of warming (major and minor), magnitude of warming, height of occurrence and day period of occurrence are presented with emphasis on wave propagation and isentropic transport conditions. The major and minor warming events are classified with respect to temperature increase and reversal in the zonal wind direction in the polar region using reanalysis data from the National Centre for Environmental Prediction (NCEP). SSWs occur with a mean frequency of 2.15 events per winter season. The percentage of occurrence of major and minor warming events are found to be ~23% and ~77%, respectively. The observed major and minor SSW is associated with a descent of the stratopause layer by −6 to 6 km range. The heights of occurrences of major SSWs are distributed between 38 km and 54 km with magnitudes in the 12.2–35.7 K temperature range, while minor SSW occurrences appear in the 42–54 km range, closer to the usual stratopause layer (~47 km) and with a slightly larger range of temperature magnitude (10.2–32.8 K). The observed major and minor events are examined in connection with Quasi-Biennial Oscillation (QBO) phases.