22.12.2012 Views

Jahresbericht 08 - PMOD/WRC

Jahresbericht 08 - PMOD/WRC

Jahresbericht 08 - PMOD/WRC

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!