Toward an understanding of the nonlinear nature of atmospheric photochemistry: Essential dynamic model of the mesospheric photochemical system

Feǐgin, A. M.; Konovalov, L. B.; Molkov, Ya. I.

doi:10.1029/98jd01569

Cited by 32 publications

(47 citation statements)

References 27 publications

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“…Although the whole system is internally nonlinearly linked (Sonnemann and Fichtelmann, 1997;Feigin et al, 1998), the difference between the realistic case and the cases in which one impact on the trend is held constant should mirror, to first order, the separate influence of the respective impact. Thus, the direct photochemical effect (DPE) of Lyman-α (only due to photodissociation and successive chemical reactions, without taking into account the effect of modulation of the dynamics and temperature, and consecutive impact on chemical species) on minor chemical constituents in the MLT region is calculated as the difference of run A − run B.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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“…1, the proposed method is based on the BDM. The zero-dimensional BDM corresponding to the set of reactions listed in Table 1 and describing the daytime evolution of the MPCS with characteristic time scale τ 0 =10 4 -10 6 s at the heights of 75-90 km was constructed by Feigin et al (1998). At these heights atomic oxygen concentration has characteristic time of evolution of order τ 0 , hence, it should be considered to be a slow variable.…”

Section: Mpcs and The Used Models General Description Of The Methods mentioning

confidence: 99%

Retrieval of water vapor profile in the mesosphere from satellite ozone and hydroxyl measurements by the basic dynamic model of mesospheric photochemical system

2009

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Abstract. We propose an indirect method for retrieving a number of significant minor gas constituents of the atmosphere. The technique is based on the use of so-called basic dynamic models of atmospheric photochemical systems simplified mathematically correctly in a special manner. It is applied to a mesospheric system describing day evolution of key minor gas constituents at these heights. We take as initial data experimental data of the CRISTA-MAHRSI satellite campaign of August 1997 during which ozone and hydroxyl (O 3 and OH) concentrations were measured simultaneously. It is demonstrated that the use of the basic dynamic model allows retrieval of vertical distribution (within the 53-85 km range of heights) of water vapor concentration that is one of the control parameters of the mesospheric photochemistry.

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“…L −1 . Feigin and Konovalov (1996) and Feigin et al (1998) showed that basic dynamic models (BDMs) are a good tool for studying the evolution of atmospheric photochemical systems. Within the considered region of the parameter values, BDMs retain basic qualitative and quantitative properties of a "complete" system and include a minimum possible number of dynamic variables described by differential equations.…”

Section: Mesospheric Photochemical System and Its Nonlinear Dynamic Pmentioning

confidence: 99%

“…These values are generally functions of parameters and of the slow (dynamic) variables referred to by the second group whose evolution with characteristic time τ ≈ τ 0 is described by differential equations. A zero-dimensional basic dynamic model of MPCS was constructed by Feigin et al (1998). In this model, O and H concentrations are dynamic variables (with characteristic times equal to 5 × 10 4 -10 5 s) found from a system of two first-order differential equations:…”

Section: Mesospheric Photochemical System and Its Nonlinear Dynamic Pmentioning

confidence: 99%

“…Sonnemann andFichtelmann (1987, 1997), Fichtelmann and Sonnemann (1992), Feigin et al (1998), and Konovalov and Feigin (2000) used zerodimensional models (without spatial transport) to show that a wide spectrum of periodic (subharmonic, with periods of 2, 3, 4, and more days) and chaotic regimes of behavior of minor gas constituents may exist at the heights of the mesopause region (80-90 km). Note that diurnal variation of solar radiation is the key mechanism of the Sun's influence on the chemical process in the entire atmosphere of the Earth.…”

Section: Introductionmentioning

confidence: 99%

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The mechanism of non-linear photochemical oscillations in the mesopause region

Куликов

Vadimova

Ignatov

et al. 2012

Nonlin. Processes Geophys.

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Abstract. The mechanism of generation of 2-day photochemical oscillations in the mesopause region (80-90 km) has been studied analytically. The initial system of equations of chemical kinetics describing the temporal evolution of O, O 3 , H, OH and HO 2 concentrations with allowance for diurnal variations of solar radiation has been simplified successively to a system of two nonlinear first-order time equations with sinusoidal external forcing. The obtained system has a minimum number of terms needed for generation of 2-day oscillations. Linearization of this system near the perioddoubling threshold permits separating explicitly a particular case of the Mathieu equationẍ+α·sin ωt ·x = 0, in which the first sub-harmonic (ω/2) of the exciting force starts to grow exponentially when the amplitude of external forcing (α) exceeds its threshold value. Finally, a system of two simplest differential equations with power-law nonlinearity has been derived that allows analytical investigation of the effect of arising of reaction-diffusion waves in the mesospheric photochemical system.

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Toward an understanding of the nonlinear nature of atmospheric photochemistry: Essential dynamic model of the mesospheric photochemical system

Cited by 32 publications

References 27 publications

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

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

Retrieval of water vapor profile in the mesosphere from satellite ozone and hydroxyl measurements by the basic dynamic model of mesospheric photochemical system

The mechanism of non-linear photochemical oscillations in the mesopause region

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