2009
DOI: 10.1029/2009ja014299
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A homogeneous database of sunspot areas covering more than 130 years

Abstract: [1] The historical record of sunspot areas is a valuable and widely used proxy of solar activity and variability. The Royal Greenwich Observatory regularly measured this and other parameters between 1874 and 1976. After that time records from a number of different observatories are available. These, however, show systematic differences and often have significant gaps. Our goal is to obtain a uniform and complete sunspot area time series by combining different data sets. A homogeneous composite of sunspot areas… Show more

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Cited by 134 publications
(211 citation statements)
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“…We shall now compare the MSA series with that constructed by Balmaceda et al (2009), the BSA series. To examine the reliability of the MSA, we made a linear leastsquares fit taking as dependent variable the monthly MSA and as independent variable the monthly BSA (Figure 11).…”
Section: Sunspot Areamentioning
confidence: 99%
See 1 more Smart Citation
“…We shall now compare the MSA series with that constructed by Balmaceda et al (2009), the BSA series. To examine the reliability of the MSA, we made a linear leastsquares fit taking as dependent variable the monthly MSA and as independent variable the monthly BSA (Figure 11).…”
Section: Sunspot Areamentioning
confidence: 99%
“…The following are the equations of the linear fits corresponding to the different periods (and the total period): Lastly, we calculated the scaling factor for each period using the "bisector line" method described by Balmaceda et al (2009) (Table 3). Thus, each value of the MSA series can be compared with its corresponding value in the BSA series (or even fill in the gaps in this latter series).…”
Section: Sunspot Areamentioning
confidence: 99%
“…In the present study we also use the sunspot area data set compiled by Balmaceda et al (2009) using observations from a number of different observatories that were carefully crosscalibrated in order to reduce, as much as possible, systematic and other differences between observations at different sites as well as the number of data gaps. The combined data set goes back to 1874.…”
Section: Datamentioning
confidence: 99%
“…(1) represents the emergence of magnetic flux at the surface in the form of bipolar magnetic regions appearing at the latitudes and longitudes of sunspot groups taken from the combined RGO/SOON sunspot record (Balmaceda et al 2009) at the time of their maximum surface area. The sunspot group size was converted to magnetic flux flux as described in Cameron et al (2010, and references therein), the calibration being based upon the total unsigned magnetic flux derived from the synoptic magnetic maps 1 taken with the Michelson Doppler Imager (MDI) instrument onboard of the Solar Heliospheric Observatory (SoHO) spacecraft.…”
Section: Flux Emergencementioning
confidence: 99%
“…For instance, the minimum area required for a sunspot group to be included changed from 1 millionth of a hemisphere in the RGO data to 10 millionths of a hemisphere in the SOON data. In order to account for this change, Balmaceda et al (2009) used other datasets overlapping both the RGO and SOON data to determine a correction factor of approximately 1.4 for the sunspot group areas in the SOON data (see also Wilson & Hathaway 2005). While a global correction factor might be adequate for the total sunspot areas, applying it uniformly to individual sunspot groups of all sizes (as used in the source term of SFT simulations) is hardly justified since it probably grossly overestimates the areas of the large sunspot groups.…”
Section: Flux Emergencementioning
confidence: 99%