The Solar Radiation and Climate Experiment (SORCE): Mission by Donald E. Anderson, Robert F. Cahalan (auth.), G. Rottman,

By Donald E. Anderson, Robert F. Cahalan (auth.), G. Rottman, T. Woods, V. George (eds.)

This booklet describes the state-of-the artwork tools for measuring the sun irradiance from smooth x-ray to the close to infrared and the whole sunlight irradiance. moreover, the SORCE undertaking and early effects on sun variability are provided in addition to papers that supply an summary of sun impacts on Earth.

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Additional resources for The Solar Radiation and Climate Experiment (SORCE): Mission Description and Early Results

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Table IV summarizes different estimates. New studies (Lean, Wang, and Sheeley, 2002; Foster, 2004; Foukal, North, and Wigley, 2004; Wang, Lean, and Sheeley, 2005) raise questions about the proper interpretation of the proxies, and suggest that long-term irradiance changes are a SORCE CONTRIBUTIONS TO NEW UNDERSTANDING OF GLOBAL CHANGE 45 TABLE IV Compared are estimates of the reduction in total solar irradiance during the Maunder Minimum relative to contemporary solar minimum. 0 (0) Hoyt and Schatten (1993)* Lean, Beer, and Bradley (1995) Fligge and Solanki (2000)* Lean (2000) Foster (2004) Model No.

Figure 1 compares the relative strength of each influence, derived from multiple regression analysis of monthly data. Hansen et al. (2002) describe the datasets. The total solar irradiance is that modeled by Lean (2000), the surface temperatures are combined land and ocean records, volcanic aerosols are from Sato et al. (1993), and ENSO is depicted by the Multivariate ENSO Index of Wolter and Timlin (1998). 5, 4, and 13% of the monthly mean global surface temperature variance over this 25-year period.

Spectral coverage expands beyond UV wavelengths to encompass the visible and near-IR regions that dominate the Sun's radiative output. The space-based irradiance record, augmented now with the spectrum of the changes, facilitates improved characterization of magnetic sources of irradiance variability, and the detection of additional mechanisms. This understanding provides a scientific basis for estimating past and future irradiance variations, needed for detecting and predicting climate change.

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