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The influence of spectral solar irradiance data on stratospheric heating rates during the 11 year solar cycle

Urheber*innen

Oberländer,  S.
External Organizations;

Langematz,  U.
External Organizations;

Matthes,  K.
External Organizations;

Kunze,  M.
External Organizations;

Kubin,  A.
External Organizations;

Harder,  J.
External Organizations;

Krivova,  N. A.
External Organizations;

Solanki,  S. K.
External Organizations;

Pagaran,  J.
External Organizations;

/persons/resource/mhw

Weber,  Michael
Deutsches GeoForschungsZentrum;

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Zitation

Oberländer, S., Langematz, U., Matthes, K., Kunze, M., Kubin, A., Harder, J., Krivova, N. A., Solanki, S. K., Pagaran, J., Weber, M. (2012): The influence of spectral solar irradiance data on stratospheric heating rates during the 11 year solar cycle. - Geophysical Research Letters, 39, L01801.
https://doi.org/10.1029/2011GL049539


https://gfzpublic.gfz-potsdam.de/pubman/item/item_245420
Zusammenfassung
Heating rate calculations with the FUBRad shortwave (SW) radiation parameterization have been performed to examine the effect of prescribed spectral solar fluxes from the NRLSSI, MPS and IUP data sets on SW heating rates over the 11 year solar cycle 22. The corresponding temperature response is derived from perpetual January General Circulation Model (GCM) simulations with prescribed ozone concentrations. The different solar flux input data sets induce clear differences in SW heating rates at solar minimum, with the established NRLSSI data set showing the smallest solar heating rates. The stronger SW heating in the middle and upper stratosphere in the MPS data warms the summer upper stratosphere by 2 K. Over the solar cycle, SW heating rate differences vary up to 40% between the irradiance data sets, but do not result in a significant change of the solar temperature signal. Lower solar fluxes in the newer SIM data lead to a significantly cooler stratosphere and mesosphere when compared to NRLSSI data for 2007. Changes in SW heating from 2004 to 2007 are however up to six times stronger than for the NRLSSI data.