Impact of a stratospheric warming event in January 2001 on the minor constituents in the MLT region calculated on the basis of a new 3D-model LIMA of the dynamics and chemistry of the middle atmosphere

Sonnemann, G. R.; Grygalashvyly, M.; Berger, Uwe

doi:10.1016/j.jastp.2006.04.005

Cited by 24 publications

(33 citation statements)

References 22 publications

(29 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, as a first step we performed uncoupled chemical simulations with dynamical LIMA background conditions which show reasonable results of chemical tracer distributions (Sonnemann et al, 2006a(Sonnemann et al, , b, 2007(Sonnemann et al, , 2008a. We show in Section 3.3 the mesospheric water vapor as one example from these CTM computations.…”

Section: Article In Pressmentioning

confidence: 75%

“…The CTM (Chemistry Transport Model) provides the radiation and chemical heating modules of LIMA with trace gas contributions from Ko¨rner and Sonnemann (2001), and Sonnemann et al (2005). CTM applications to LIMA have been published by Sonnemann et al (2006aSonnemann et al ( , b, 2007a. In the following, we shortly summarize the main physics of the radiation module (e.g.…”

Section: The Radiation and Ctmmentioning

confidence: 99%

See 1 more Smart Citation

Modeling of middle atmosphere dynamics with LIMA

Berger

2008

Journal of Atmospheric and Solar-Terrestrial Physics

Self Cite

View full text Add to dashboard Cite

Section: Article In Pressmentioning

confidence: 75%

Section: The Radiation and Ctmmentioning

confidence: 99%

Modeling of middle atmosphere dynamics with LIMA

Berger

2008

Journal of Atmospheric and Solar-Terrestrial Physics

Self Cite

View full text Add to dashboard Cite

“…We know that the zonal wind due to the zonal wind effect on photochemistry (Sonnemann, 2001;Sonnemann and Grygalashvyly, 2003;Sonnemann et al, 2007;Grygalashvyly et al, 2008;Hartogh et al, 2011) has a considerable influence particularly on the nighttime ozone distribution. Changes in the (zonal) wind patterns result in changes in the OH * distribution.…”

Section: Discussionmentioning

confidence: 99%

“…However, we recap here the main points of the numerical experiments and the main results. These results are based on calculations made by the chemical transport model (CTM) using dynamical parameters (wind components, pressure, and temperatures) from the LIMA (Leibniz Institute Middle Atmosphere) model (e.g., chemistry and dynamics in Sonnemann et al, 1994Sonnemann et al, , 1998Sonnemann et al, , 2006aSonnemann et al, , 2006bSonnemann et al, , 2007Sonnemann et al, , 2008; Grygalashvyly and Sonnemann, 2006;dynamics only in Berger, 2008;Lübken et al, 2009Lübken et al, , 2013. The dynamical part of the model LIMA employs for all model runs the real increase in CO 2 and ozone concentration (Lübken et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Hydroxyl layer: trend of number density and intra-annual variability

et al. 2015

Self Cite

View full text Add to dashboard Cite

Abstract. The layer of vibrationally excited hydroxyl (OH * ) near the mesopause in Earth's atmosphere is widely used to derive the temperature at this height and to observe dynamical processes such as gravity waves. The concentration of OH * is controlled by the product of atomic hydrogen, with ozone creating a layer of enhanced concentration in the mesopause region. However, the basic influences on the OH * layer are atomic oxygen and temperature. The long-term monitoring of this layer provides information on a changing atmosphere. It is important to know which proportion of a trend results from anthropogenic impacts on the atmosphere and which proportion reflects natural variations. In a previous paper (Grygalashvyly et al., 2014), the trend of the height of the layer and the trend in temperature were investigated particularly in midlatitudes on the basis of our coupled dynamic and chemical transport model LIMA (Leibniz Institute Middle Atmosphere). In this paper we consider the trend for the number density between the years 1961 and 2009 and analyze the reason of the trends on a global scale. Further, we consider intra-annual variations. Temperature and wind have the strongest impacts on the trend. Surprisingly, the increase in greenhouse gases (GHGs) has no clear influence on the chemistry of OH * . The main reason for this lies in the fact that, in the production term of OH * , if atomic hydrogen increases due to increasing humidity of the middle atmosphere by methane oxidation, ozone decreases. The maximum of the OH * layer is found in the mesopause region and is very variable. The mesopause region is a very intricate domain marked by changeable dynamics and strong gradients of all chemically active minor constituents determining the OH * chemistry. The OH * concentration responds, in part, very sensitively to small changes in these parameters.The cause for this behavior is given by nonlinear reactions of the photochemical system being a nonlinear enforced chemical oscillator driven by the diurnal-periodic solar insolation. At the height of the OH * layer the system operates in the vicinity of chemical resonance. The solar cycle is mirrored in the data, but the long-term behavior due to the trend in the Lyman-α radiation is very small. The number density shows distinct hemispheric differences. The calculated OH * values show sometimes a step around a certain year. We introduce a method to find out the date of this step and discuss a possible reason for such behavior.

show abstract

“…In this regard, Sonnemann et al (2006a) showed changes in the spatiotemporal characteristics of the minor constituents in the MLT region under SSW conditions (i.e., changing of the characteristics of the secondary and tertiary ozone maximum, the variation of the Meinel band emission layer and ground state OH layer and the alteration of the chemical heating rate). In particular, their modelling findings reported variation in concentration/production rate and altitude of the nighttime OH layer in both ground and vibrational states.…”

Section: Introductionmentioning

confidence: 98%