Reconstruction of solar irradiance variations in cycle 23

By N. Krivova, S. Solanki, M. Fligge, Y. Unruh. 2003

248 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/8ee7354ead8a9f7c8bd1d5d5e9b9276c90367692

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In Artificial Intelligence

1. S. Solanki
2. N. Krivova
3. C. Fröhlich
4. J. Haigh
5. K. L. Yeo
6. Karl-Heinz Glassmeier
7. M. Lockwood
8. I. Usoskin

In Astronomy and Astrophysics

1. S. Solanki
2. I. Usoskin
3. N. Krivova
4. M. Lockwood
5. Paul Charbonneau
6. J. Haigh
7. C. Fröhlich
8. G. Kovaltsov

Citations in the corpus

• Solar cycle signals in sea level pressure and sea surface temperature (2010, background): “Similarly in modeling studies: Meehl et al. (2008), with a transient model run analysed by peak SSN years, find a stronger Hadley circulation while Haigh (1996, 1999), using equilibrated solar maximum and minimum experiments, finds a weaker Hadley cell.”
• A new approach to the long-term reconstruction of the solar irradiance leads to large historical solar forcing (2011, methodology): “Iactive(λ, t) is calculated following the approach by Krivova et al. (2003) (seealso the online Sect.”
• The Maunder minimum (1645–1715) was indeed a grand minimum: A reassessment of multiple datasets (2015, methodology): “Dasi-Espuig et al. (2014) used a flux transport model (Jiang et al. 2010, 2011b) to simulate solar mag-netograms to which they applied the SATIRE-S model (Fligge et al. 2000; Krivova et al. 2003).”
• Recent variability of the solar spectral irradiance and its impact on climate modelling (2012, methodology): “Although considerable progress has been made in modelling the TSI variability (e.g. Foukal and Lean , 1990; Chapman et al. , 1996; Fröhlich and Lean , 1997; Fligge et al. , 2000; Preminger et al. , 2002; Ermolli et al., 2003; Krivova et al., 2003; Wenzler et al. , 2004, 2005, 2006; Crouch et al. , 2”
• Evolution of the solar irradiance during the Holocene (2011, methodology): “One way to disentangle the influence of the Sun on the climate is to look for its influence on climate in pre-industrial times, when the influence of man-made greenhouse gases can be neglected and the natural variations can be isolated.”
• Solar Irradiance Variability and Climate (2013, methodology): “With time, more physics-based models have been developed (e.g., Ermolli, Criscuoli & Giorgi 2011; Fligge, Solanki & Unruh 2000; Fontenla et al. 2011; Krivova et al. 2003; Shapiro et al. 2010; Wenzler et al. 2006).”
• SOLAR INFLUENCES ON CLIMATE (2010, unknown): “From this and the disc location, the intensity can be estimated, and the TSI is computed by summation over the whole disc [Krivova et al., 2003].”
• Reconstruction of solar total irradiance since 1700 from the surface magnetic flux (2007, methodology): “In order to reproduce solar irradiance variations in cycle 23 on the basis of MDI magnetograms, Krivova et al. (2003) found φsat = 280 G (no distinction was made between faculae and the network).”
• Reconstruction of solar irradiance variations in cycles 21-23 based on surface magnetic fields (2006, methodology): “Krivova et al. (2003) used data recorded by the Michelson Doppler Imager (MDI) on the Solar and Heliospheric Observatory (SoHO; Scherrer et al. 1995) to reconstruct irradiance variations recorded by the Variability of solar IRradiance and Gravity Oscillations (VIRGO) experiment on SoHO (Fröhlich et…”
• Solar Forcing for CMIP6 (v3.1) (2016, background): “SATIRE The SATIRE (spectral and total irradiance reconstruction) family of semi-empirical models assumes that the changes in the solar spectral irradiance are driven by the evolution of the photospheric magnetic field (Fligge et al., 2000; Krivova et al., 2003, 2011).”
• Solar radiative output and its variability: evidence and mechanisms (2004, background): “Faculae can also be identi ed in magnetograms (e.g. Krivova et al., 2003).”
• Recent oppositely directed trends in solar climate forcings and the global mean surface air temperature (2007, methodology): “The field threading the solar surface modulates the TSI and UV irradiance and our understanding of these effects has advanced dramatically in recent years (Krivova et al. 2003; Solanki & Krivova 2006).”
• Solar Surface Magnetism and Irradiance on Time Scales from Days to the 11-Year Cycle (2009, methodology): “The correlation coefficient between the measured (VIRGO) and modelled irradiances is 0.96 (Krivova et al. 2003) for the period 1996–2002.”
• Reconstruction of total and spectral solar irradiance from 1974 to 2013 based on KPVT, SoHO/MDI and SDO/HMI observations (2014, methodology): “The Spectral And Total Irradiance REconstruction for the Satellite era, SATIRE-S (Fligge et al. 2000; Krivova et al. 2003, 2011b) is an established model of this type.”