Historical Dataset Reconstruction and a Prediction Method of Solar 10.7cm Radio Flux

Zhao, Juan; Han, Yulei

doi:10.1088/1009-9271/8/4/11

Cited by 14 publications

(12 citation statements)

References 5 publications

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“…Hence, on behalf of the numeric value coefficient of determination R 2 which is 0.9533 and for adjusted it is 0.9532, we conclude that the monthly averaged solar flux and sunspot number are greatly correlated. Our findings of linear regression analysis are in good agreement with Zhao & Han [12]. Figure (2) also illustrates that the solar flux F10.7 cannot be zero even if the sunspot numbers are zero.…”

Section: Resultssupporting

confidence: 87%

“…a multiplicative autoregression model for forecasting monthly values of F10.7 [10], forecasting of the solar activity using neural network algorithms [11]. Zhao & Han [12] reconstructed the development history of F10.7 and put forward a long-term prediction method of solar 10.7 cm radio flux. ISSN: 2456-7132 Available online at Journals.aijr.in…”

Section: Introductionmentioning

confidence: 99%

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The Solar Flux and Sunspot Number; A Long-Trend Analysis

Tiwari

Kumar

2018

Int. Ann. Sci.

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A B S T R A C TWe investigate the nature of monthly sunspot numbers and solar flux F10.7 by employing the linear and multiple regression techniques. We observed a brilliant correlation between monthly mean sunspot number and F10.7. We observed that even in deep solar minimum there exist some magnetic activities. We obtained the coefficient of determination R 2 to be 0.9533. We estimated the correlation coefficient for solar flux F10.7 and sunspot number to be 0.97. We extrapolated the F10.7 back to the year 1700 and observed a good correspondence between the modelled F10.7 and sunspot nature. We also found a very good correspondence between the modelled and observed solar flux F10.7.

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Section: Resultssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

The Solar Flux and Sunspot Number; A Long-Trend Analysis

Tiwari

Kumar

2018

Int. Ann. Sci.

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“…Previous investigators have usually selected a polynomial model for the relation between the solar flux Table 1 Previous models available online: FZH1 and FZH3 are from Zhao and Han (2008) and FIP S and RIP S are from the IPS unit of the Australian Bureau of Meteorology…”

Section: Data Selection and Previous Modelsmentioning

confidence: 99%

“…Parameters The subscript D will be used to distinguish data values from model values. Zhao and Han (2008) consider both a linear fit and a cubic fit for F (R D ) using annual values for 1947-2005, and the Ionospheric Prediction Service (IPS) unit of the Australian Bureau of Meteorology (Thompson 2010) gives cubic equations for both F (R D ) and R(F D ) using monthly values from 1947-1990. The radio flux is expressed in solar flux units (sfu) equal to 10 −22 W/m 2 /Hz.…”

Section: Modelmentioning

confidence: 99%

Power law relating 10.7 cm flux to sunspot number

Johnson¹

2010

Astrophys Space Sci

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To investigate the relation between observations of the 10.7 cm flux and the international sunspot number so that a physical unit may be ascribed to historical records, both polynomial and power law models are developed giving the radio flux as a function of sunspot number and vice versa. Bayesian data analysis is used to estimate the model parameters and to discriminate between the models. The effect on the parameter uncertainty and on the relative evidence of normalizing the measure of fit is investigated. The power law giving flux as a function of sunspot number is found to be the most plausible model and may be used to estimate the radio flux from historical sunspot observations.Comment: 7 pages, 4 tables, 4 figures, major revision, final version. Accepted for publication in Astrophysics & Space Scienc

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“…Observations of F10.7 began in 1947 and are available for more than 60 years. The value of solar F10.7 is low when solar activity is low and high when solar activity is high, with the correlation between the solar F10.7 and relative sunspot number exceeding 0.98 [1,9,10]. The solar F10.7 reflects the activity of the corona, while the relative sunspot number mirrors the activity of the photosphere.…”

mentioning

confidence: 99%

Phase relationship between the relative sunspot number and solar 10.7 cm flux

Zhang

2012

Chin. Sci. Bull.

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A range of analysis approaches, namely continuous wavelet, cross wavelet, and wavelet coherence analyses, are employed to clarify the phase relationship between the smoothed monthly mean sunspot number and solar 10.7 cm flux (F10.7). Analysis shows that there is a region of high spectral power sitting across the Schwabe cycle belt, where the two time series are in phase. However, analysis of the cross-wavelet transform and wavelet coherence unveils asynchronous behavior featured with phase mixing in the high-frequency components of sunspot activity and solar F10.7, which may explain the different activity properties of the photosphere and corona on a short time scale.

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Historical Dataset Reconstruction and a Prediction Method of Solar 10.7cm Radio Flux

Cited by 14 publications

References 5 publications

The Solar Flux and Sunspot Number; A Long-Trend Analysis

The Solar Flux and Sunspot Number; A Long-Trend Analysis

Power law relating 10.7 cm flux to sunspot number

Phase relationship between the relative sunspot number and solar 10.7 cm flux

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