Jahresbericht 08 - PMOD/WRC
Jahresbericht 08 - PMOD/WRC
Jahresbericht 08 - PMOD/WRC
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22<br />
Scientific Research Activities<br />
The Response of the Middle Atmosphere to Short-Term Solar Irradiance Variability:<br />
Comparison of Different Solar Irradiance Data<br />
Anna Shapiro, Eugene Rozanov, and Tatiana Egorova<br />
Using 1-D radiative-convective model with interactive<br />
photochemistry we compare the atmospheric response<br />
to the short-term variability of solar irradiance<br />
obtained from observations (SUSIM instrument onboard<br />
the UARS satellite) and compiled by Lean (2005).<br />
The ozone response in the model driven by this data is<br />
found to be underestimated in the stratosphere.<br />
The solar rotational cycle in irradiance reflects the heterogeneity<br />
of the sunspot distribution across the Sun’s surface.<br />
The variability of solar irradiance during the solar<br />
rotational cycle influences the abundance of ozone in the<br />
stratosphere and mesosphere.<br />
Figure 1 illustrates power spectra of the solar irradiance<br />
from data compiled by Lean and observed by SUSIM during<br />
2003. The figure shows that the solar rotational cycle<br />
dominates both spectra.<br />
Figure 1. Power spectrum of the solar irradiance variability during 2003.<br />
Figure 2. Cross-correlation function of ozone concentration versus the<br />
solar irradiance at 205 nm for 2003.<br />
We have calculated the response of the middle atmosphere<br />
to the solar irradiance variability with a 1-D radiative-convective<br />
model with interactive photochemistry. Cross-correlation<br />
function of simulated ozone concentration versus<br />
the solar irradiance at 205 nm for Lean data is illustrated in<br />
Figure 2. A good correlation with a near zero time lag in the<br />
middle atmosphere is seen.<br />
Figure 3 illustrates the simulated correlation between ozone<br />
concentration and the solar irradiance at 205 nm for the<br />
time lag with maximum correlation. Correlation coefficients<br />
simulated with Lean’s data are underestimated in the stratosphere<br />
in comparison with SUSIM data. Tentatively, it can<br />
be explained by a high correlation between solar irradiance<br />
at different wavelengths in Lean’s data, which is not supported<br />
by observations.<br />
Figure 3. Correlation between ozone concentration and the solar irradiance<br />
at 205 nm (the time lag at each altitude corresponds to the correlation<br />
maximum).<br />
References: Rozanov E., Egorova T., Schmutz W., Peter T.,<br />
Simulation of the stratospheric ozone and temperature<br />
response to the solar irradiance variability during sun<br />
rotation cycle, Journal of Atmospheric and<br />
Solar-Terrestrial Physics, 68, 2203-2213, 2006.<br />
Lean J., Rottman G., Harder J., Kopp G., Sorce<br />
contributions to new understanding of global change<br />
and solar variability, Solar Physics, 230, 27-53, 2005.