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

The influence of spectral solar irradiance data on stratospheric heating rates during the 11 year solar cycle
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DOI:
10.1029/2011gl049539
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发表时间:
2012-01
影响因子:
5.2
通讯作者:
S. Oberländer;U. Langematz;K. Matthes;M. Kunze;A. Kubin;J. Harder;N. Krivova;S. Solanki;J. Pagaran;M. Weber
S. Oberländer;U. Langematz;K. Matthes;M. Kunze;A. Kubin;J. Harder;N. Krivova;S. Solanki;J. Pagaran;M. Weber
中科院分区:
地球科学1区
文献类型:
--
作者:
S. Oberländer;U. Langematz;K. Matthes;M. Kunze;A. Kubin;J. Harder;N. Krivova;S. Solanki;J. Pagaran;M. Weber

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加热率的计算与FUBRad短波(SW)辐射参数化已被执行,以检查规定的光谱太阳通量的影响,从NRLSSI,MPS和IUP数据集SW加热率超过11年的太阳活动周期22。相应的温度响应来自永久1月大气环流模式(GCM)模拟与规定的臭氧浓度。不同的太阳能通量输入数据集在太阳极小期引起SW加热率的明显差异,与建立的NRLSSI数据集显示最小的太阳加热率。MPS资料中平流层中上部较强的西南加热使夏季平流层上部增温2K。在太阳活动周期内,SW加热率差异在辐照度数据集之间变化高达40%,但不会导致太阳温度信号的显著变化。与2007年NRLSSI数据相比,较低的太阳通量在较新的SIM数据中导致平流层和中间层显着冷却。然而,从2004年到2007年,西南加热的变化比NRLSSI数据强六倍。
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.