Sergei Smyshlyaev

Prof. Sergei Smyshlyaev

Russian State Hydrometeorological University, Saint Petersburg (ex Leningrad), Voronezhskaya ulitsa, 79, Russia
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Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 October 1994 in Journal of Geophysical Research: Atmospheres
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YVYu. V. Villevalde
Yu. V. Villevalde
ASAlexander Smirnov
Alexander Smirnov
NON. T. O'Neill
N. T. O'Neill
SSSergei Smyshlyaev
Sergei Smyshlyaev
VYV. V. Yakovlev
V. V. Yakovlev

13 May 2008 in Journal of Geophysical Research: Atmospheres
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OSOle Amund Søvde
Ole Amund Søvde
MGMichael Gauss
Michael Gauss
SSSergei Smyshlyaev
Sergei Smyshlyaev
IIIvar S. A. Isaksen
Ivar S. A. Isaksen

20 April 2016 in Journal of Geophysical Research: Atmospheres
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TSTimofei Sukhodolov
Timofei Sukhodolov
Eugene RozanovEugene Rozanov
Eugene Rozanov
WBWilliam T. Ball
William T. Ball
ABAlkiviadis F. Bais
Alkiviadis F. Bais
KTKleareti Tourpali
Kleareti Tourpali
WSWerner Schmutz
Werner Schmutz
The state of the stratospheric ozone layer and the temperature structure of the atmosphere are largely controlled by the solar spectral irradiance (SSI) through its influence on heating and photolysis rates. This study focuses on the uncertainties in the photolysis rate response to solar irradiance variability related to the choice of SSI data set and to the performance of the photolysis codes used in global chemistry‐climate models. To estimate the impact of SSI uncertainties, we compared several photolysis rates calculated with the radiative transfer model libRadtran, using SSI calculated with two models and observed during the Solar Radiation and Climate Experiment (SORCE) satellite mission. The importance of the calculated differences in the photolysis rate response for ozone and temperature changes has been estimated using 1‐D a radiative‐convective‐photochemical model. We demonstrate that the main photolysis reactions, responsible for the solar signal in the stratosphere, are highly sensitive to the spectral distribution of SSI variations. Accordingly, the ozone changes and related ozone‐temperature feedback are shown to depend substantially on the SSI data set being used, which highlights the necessity of obtaining accurate SSI variations. To evaluate the performance of photolysis codes, we compared the results of eight, widely used, photolysis codes against two reference schemes. We show that, in most cases, absolute values of the photolysis rates and their response to applied SSI changes agree within 30%. However, larger errors may appear in specific atmospheric regions because of differences, for instance, in the treatment of Rayleigh scattering, quantum yields, or absorption cross sections.

16 October 2001 in Journal of Geophysical Research: Atmospheres
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RZRobert de Zafra
Robert de Zafra
SSSergei Smyshlyaev
Sergei Smyshlyaev

1 August 2007 in Izvestiya, Atmospheric and Oceanic Physics
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VGV. Ya. Galin
V. Ya. Galin
SSSergei Smyshlyaev
Sergei Smyshlyaev
EVE. M. Volodin
E. M. Volodin
A combined three-dimensional global model of the chemistry and dynamics of the lower and middle atmosphere (up to 90 km from the Earth’s surface) is described. With the use of this model within the...

19 January 2006 in Journal of Geophysical Research: Atmospheres
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SASigne Bech Andersen
Signe Bech Andersen
EWE. C. Weatherhead
E. C. Weatherhead
ASA. Stevermer
A. Stevermer
JAJ. Austin
J. Austin
CBC. Brühl
C. Brühl
JXJ. Xia
J. Xia
We present a comparison of trends in total column ozone from 10 two‐dimensional and 4 three‐dimensional models and solar backscatter ultraviolet–2 (SBUV/2) satellite observations from the period 1979–2003. Trends for the past (1979–2000), the recent 7 years (1996–2003), and the future (2000–2050) are compared. We have analyzed the data using both simple linear trends and linear trends derived with a hockey stick method including a turnaround point in 1996. If the last 7 years, 1996–2003, are analyzed in isolation, the SBUV/2 observations show no increase in ozone, and most of the models predict continued depletion, although at a lesser rate. In sharp contrast to this, the recent data show positive trends for the Northern and the Southern Hemispheres if the hockey stick method with a turnaround point in 1996 is employed for the models and observations. The analysis shows that the observed positive trends in both hemispheres in the recent 7‐year period are much larger than what is predicted by the models. The trends derived with the hockey stick method are very dependent on the values just before the turnaround point. The analysis of the recent data therefore depends greatly on these years being representative of the overall trend. Most models underestimate the past trends at middle and high latitudes. This is particularly pronounced in the Northern Hemisphere. Quantitatively, there is much disagreement among the models concerning future trends. However, the models agree that future trends are expected to be positive and less than half the magnitude of the past downward trends. Examination of the model projections shows that there is virtually no correlation between the past and future trends from the individual models.