Publications resulting from ISSI Team project 474 with ISSI acknowledgement:

[1] Petrovay, Nagy & Yeates: Towards an algebraic method of solar cycle prediction I: Calculating the ultimate dipole contributions of individual active regions. J. Space Weather Space Clim. 10, 50 (2020)

[2] Nagy, Petrovay, Lemerle & Charbonneau: Towards an algebraic method of solar cycle prediction II: Reducing the need for detailed input data with ARDoR. J. Space Weather Space Clim. 10, 46 (2020)

[3] Nagy, Lemerle & Charbonneau:  Impact of nonlinear surface inflows into activity belts on the solar dynamo.  J. Space Weather Space Clim. 10, 62 (2020)

[4] Yeates: How good is the bipolar approximation of active regions for surface flux transport?  Solar Phys., 295, 119 (2020)

[5] Jiang: Non-linear mechanisms that regulate the solar cycle amplitude. Astrophys. J. 900, 19 (2020)

[6] Karak: Dynamo saturation through the latitudinal variation of bipolar magnetic regions in the Sun. Astrophys. J. 901, L35 (2020)

[7] Wang, Jiang, Zhang & Wang: Activity complexes and a prominent poleward surge during Solar Cycle 24. Astrophys. J. 904, 62 (2020)

[8] Wang, Jiang & Wang: Algebraic quantification of an active region contribution to the solar cycle. Astron. Astrophys. 650, A87 (2021)

[9] Kumar, Karak, Nagy, Lemerle, Petrovay: The polar precursor method for solar cycle prediction: Comparison of predictors and their temporal range. Astrophys. J. 909, 87 (2021)

[10] Jiao, Jiang & Wang: Sunspot tilt angles revisited: Dependence on the solar cycle strength. Astron. Astrophys.  653, 27 (2021)

[11] Talafha, Nagy, Lemerle, Petrovay: The role of observable nonlinearities in solar cycle modulation. Astron. Astrophys. 660, A92 (2022)

[12] Jiang, Zhang & Petrovay: Comparison of physics-based prediction models of solar cycle 25. Journal of Atmospheric and Solar-Terrestrial Physics 243, 106018 (2023)

[13] Biswas, Karak, Usoskin & Weisshaar: Long-term modulation of solar cycles. Space Sci. Res. 219, 19 (2023)

[14] Yeates, Cheung, Jiang, Petrovay & Wang: Surface flux transport on the Sun. Space Sci. Res. 219, 31 (2023)

[15] Biswas, Karak & Kumar: Exploring the reliability of polar field rise rate as a precursor for an early prediction of solar cycle. Mon.Not. Roy. Ast. Soc.  526, 3994 (2023)

[16] Wang, Jiang & Luo: Toward a live homogeneous database of solar active regions based on SOHO/MDI and SDO/HMI synoptic magnetograms. I. Automatic detection and calibration. Astrophys. J.  Suppl. 268, 55 (2023)

[17] Sreedevi, Jha, Karak & Banerjee : AutoTAB: Automatic Tracking Algorithm for Bipolar Magnetic Regions. Astrophys. J.  Suppl. 268, 58 (2023)

[18] Pal, Bhowmik, Mahajan & Nandy : Impact of anomalous active regions on the large-scale magnetic field of the Sun. Astrophys. J.  953, 51 (2023)

[19] Chatzistergos et al. : Analysis of full-disc H alpha observations: Carrington maps and filament properties in 1909-2022. Astron. Astrophys.  680, A15 (2023)

[20] Kirti Mishra, Routh, Jha, Chatzistergos, Basu, Chatterjee, Banerjee & Ermolli: Differential rotation of the solar chromosphere: A century-long perspective from Kodaikanal Solar Observatory Ca II K data. Astrophys. J.  accepted (2023)

[21] Jaswal, Saha & Nandy: Discovery of a relation between the decay rate of the Sun’s magnetic dipole and the growth rate of the following sunspot cycle: a new precursor for solar cycle prediction. Mon.Not. Roy. Ast. Soc.  528, L27 (2024)

 

 

A BibTeX entry for these pages:

@webpage{Petrovayetal2019,

    Author = {{Petrovay}, K., {Cameron}, R.~H., {Charbonneau}, P., {Jiang}, J., {Karak}, B.~B., {Lemerle}, A., {Mursula}, K., {Nagy}, M., {Norton}, A.~A., {Upton}, L., {Virtanen}, Ilpo, {Virtanen}, Iiro, {Yeates}, A.},

    Title = {ISSI Team - What Determines The Dynamo Effectivity Of Solar Active Regions?},

    Url = {http://www.issibern.ch/teams/solactregars/},

    Year = {2019}}