DFG JA836/43-1 (2019-2021)
The long-term variations of the upper atmosphere are influenced by dynamical processes in the underlying atmosphere.
These meteorological influences are mainly due to atmospheric waves propagating from the lower atmosphere to the thermosphere.
Transferring energy and momentum, they modify thermospheric and ionospheric parameters.
Atmospheric waves not only reflect dynamical features of the lower/middle atmosphere, but also exhibit long-term trends.
Consequently, not only the widely known greenhouse gas cooling contributes to thermospheric long-term changes,
but atmospheric wave trends also, and a comprehensive description of upper atmosphere trends will have to include this wave variability and trends.
To quantify the effect of lower and middle atmosphere wave coupling on upper atmosphere dynamics, VACILT aims at observing, modeling,
and rigorously quantifying interannual and long-term changes of lower and middle atmosphere waves and their effects in the upper atmosphere.
To this end, long-term (> 30 years) radar observations will be analyzed with respect to waves and mean circulation trends. These analyses will be
compared with results of a long-term, lower atmosphere driven simulation of the GAIA Earth System Model, which in turn will be supported by
the analysis of thermospheric observations.
From the GAIA analyses, the lower atmosphere forcing on the thermosphere due to waves will be quantified.
The variability of this forcing will be determined and interpreted in the context of lower atmosphere variability.
To substantiate the results, sensitivity experiments with a mechanistic model will be performed.
Main goals of VACILT are
- a quantitative description of interannual and long-term variability and trends in the middle atmosphere and thermosphere by analyzing the mean circulation and
wave parameters from Earth System Model, supported by ground-based and satellite observations
- quantitative estimates of the degree of wave coupling effects in the upper atmosphere
- a comprehensive analysis of the role of middle-upper atmosphere wave coupling
in forcing upper atmosphere long-term trends and variations, in relation to other drivers like greenhouse gas cooling.
Collm radar June-August mean winds. 1979-07/2004: LF; 08/2004-date: MR.
Publications related to VACILT:
Lilienthal, F., N. Samtleben, Ch. Jacobi, and E. Yigit, 2019: Implementing a whole atmosphere gravity wave parameterization in the Middle and Upper Atmosphere Model: Preliminary Results, Rep. Inst. Meteorol. Univ. Leipzig, 57, 59-70, http://meteo.physgeo.uni-leipzig.de/de/orga/LIM_Bd_57.pdf.
Qian, L., Ch. Jacobi, and J. McInerney, 2019: Trends and Solar Irradiance Effects in the Mesosphere, J. Geophys. Res.: Space Physics, 124, 1343 – 1360, https://doi.org/10.1029/2018JA026367.
Jacobi, Ch., A. Krug, and E. Merzlyakov, 2017: Radar observations of the quarterdiurnal
tide at midlatitudes: Seasonal and long-term variations,
J. Atmos. Sol.-Terr. Phys., 163, 70-77, https://doi.org/10.1016/j.jastp.2017.05.014.
Jacobi, Ch., F. Lilienthal, C. Geißler, and A. Krug, 2015: Long-term variability of mid-latitude mesosphere-lower thermosphere winds over Collm (51°N, 13°E), J. Atmos.
Sol.-Terr. Phys., 136, B, 174–186, doi:10.1016/j.jastp.2015.05.006.
Jacobi, Ch., 2014: Long-term trends and decadal variability of upper mesosphere/lower thermosphere gravity waves at midlatitudes, J. Atmos. Sol.-Terr. Phys., 118, Part A, 90-95, doi:10.1016/j.jastp.2013.05.009.