Table 3
Results of reconstructing TSI over 2000–2020 from RPS contrast images processed with different methods.
Method |
R
0
|
a | b | c | RMS | R | Slope | Trend | |
---|---|---|---|---|---|---|---|---|---|
Σk | Σr | (Wm−2) | 10−2 | (Wm−2) | (10−2 Wm−2 y−1) | (10−3 Wm−2 y−1) | |||
Ours | – | – | 1360.16 ± 0.04 | 1.70 ± 0.10 | 7.4 ± 0.3 | 0.17 | 0.94 | −1.32 | 2.57 |
Brandt & Steinegger (1998) | 0.95 | −0.05 | 1359.82 ± 0.07 | 0.01 ± 0.02 | 5.4 ± 0.4 | 0.40 | 0.61 | −1.82 | 0.02 |
Walton et al. (1998) | 0.98 | 0.21 | 1360.32 ± 0.04 | 0.23 ± 0.05 | 4.8 ± 0.3 | 0.37 | 0.68 | −1.29 | 1.3 |
Worden et al. (1998) | 0.99 | 0.51 | 1360.77 ± 0.07 | 0.58 ± 0.07 | 7.1 ± 0.4 | 0.35 | 0.72 | −1.59 | −10.4 |
Puiu (2019) | 0.97 | 0.88 | 1360.05 ± 0.04 | 1.33 ± 0.09 | 10.6 ± 0.4 | 0.23 | 0.89 | −1.79 | −1.5 |
Notes. Columns are: processing technique applied on the RPS Ca II K and RPS red continuum data to compensate the CLV, linear correlation coefficient R0 between the Σk and Σr series computed with our processing and those from the various tested methods, the best fit parameters of equation (1), RMS difference, linear correlation coefficient R, and slope of residual between the reconstructed TSI series and the PMOD TSI composite, and long-term trend as defined with a linear fit during the activity minimum period of 2008–2019.
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