4.6 Article

Toward a Live Homogeneous Database of Solar Active Regions Based on SOHO/MDI and SDO/HMI Synoptic Magnetograms. I. Automatic Detection and Calibration

Journal

ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
Volume 268, Issue 2, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.3847/1538-4365/acef1b

Keywords

-

Ask authors/readers for more resources

Recent studies have found that a small number of rogue solar active regions (ARs) can have a significant impact on the behavior of solar activity. A method to automatically detect ARs has been developed, and a homogeneous AR database has been established. The database's reliability has been verified by comparing it with other relevant databases. It has been observed that ARs with weaker magnetic flux have weaker dependence on the solar cycle. Basic parameters of the identified ARs have been provided, paving the way for further research on quantifying their impact.
Recent studies indicate that a small number of rogue solar active regions (ARs) may have a significant impact on the end-of-cycle polar field and the long-term behavior of solar activity. The impact of individual ARs can be qualified based on their magnetic field distribution. This motivates us to build a live homogeneous AR database in a series of papers. As the first of the series, we develop a method to automatically detect ARs from 1996 onward based on SOHO/MDI and SDO/HMI synoptic magnetograms. The method shows its advantages in excluding decayed ARs and unipolar regions and being compatible with any available synoptic magnetograms. The identified AR flux and area are calibrated based on the cotemporal SDO/HMI and SOHO/MDI data. The homogeneity and reliability of the database are further verified by comparing it with other relevant databases. We find that ARs with weaker flux have a weaker cycle dependence. Stronger ARs show a weaker cycle 24 compared with cycle 23. Several basic parameters, namely, the location, area, and flux of negative and positive polarities of the identified ARs, are provided in the paper. This paves the way for ARs' new parameters quantifying the impact on the long-term behavior of solar activity to be presented in the subsequent paper of the series. The constantly updated database covering more than two full solar cycles will be beneficial for the understanding and prediction of the solar cycle. The database and the detection codes are accessible online.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available