Modeling of Middle Atmosphere Dynamics Using Lower Atmosphere ECMWF Data

Details Modeling of Middle Atmosphere Dynamics Using Lower Atmosphere ECMWF Data Modeling of Middle Atmosphere Dynamics Using Lower Atmosphere ECMWF Data

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agusmsa33a..08b&link_type=abstract

American Geophysical Union, Spring Meeting 2009, abstract #SA33A-08

Physics

3334 Middle Atmosphere Dynamics (0341, 0342)

Scientific paper

The new circulation model called LIMA (Leibniz-Institute Middle Atmosphere) is used to study the dynamics of the middle atmosphere. LIMA takes advantage of global ECMWF-ERA-40 data sets from troposphere/lower stratosphere regions which are processed through data assimilation techniques. This allows in middle atmosphere modeling to investigate in detail the effects of the lower atmosphere conditions on the upper atmosphere through upward wave activity propagation. One example of LIMA studies is the simulation of the thermal state at the summer upper mesosphere and its impact on the morphology of ice particle related phenomena such as noctilucent clouds (NLC), and polar mesosphere clouds (PMC). LIMA allows to investigate inter-hemispheric differences as well as decadal long term trends in NLC/PMC formation. The NLC/PMC characteristics deduced from LIMA are validated with various data sets from different lidar (ground station ALOMAR), satellite (SBUV, SNOE), rockets and radar observations. LIMA nicely reproduces the mean characteristics of observed ice layers, for example their NH/SH differences in variation with season, altitude, and latitude. Not only seasonal means, but also 11-y solar cycle effects and decadal long term behavior nicely agree with satellite data. This emphasizes the importance of lower atmosphere conditions described by ECMWF data which seem to control to a high degree the thermal state of the upper atmosphere and hence the observed morphology of ice clouds.

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