Variations of the Galactic Cosmic Rays in the Recent Solar Cycles
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Statistical Properties of Superactive Regions During Solar Cycles 19–23⋆
A&A 534, A47 (2011) Astronomy DOI: 10.1051/0004-6361/201116790 & c ESO 2011 Astrophysics Statistical properties of superactive regions during solar cycles 19–23 A. Q. Chen1,2,J.X.Wang1,J.W.Li2,J.Feynman3, and J. Zhang1 1 Key Laboratory of Solar Activity of Chinese Academy of Sciences, National Astronomical Observatories, Chinese Academy of Sciences, PR China e-mail: [email protected]; [email protected] 2 National Center for Space Weather, China Meteorological Administration, PR China 3 Helio research, 5212 Maryland Avenue, La Crescenta, USA Received 26 February 2011 / Accepted 20 August 2011 ABSTRACT Context. Each solar activity cycle is characterized by a small number of superactive regions (SARs) that produce the most violent of space weather events with the greatest disastrous influence on our living environment. Aims. We aim to re-parameterize the SARs and study the latitudinal and longitudinal distributions of SARs. Methods. We select 45 SARs in solar cycles 21–23, according to the following four parameters: 1) the maximum area of sunspot group, 2) the soft X-ray flare index, 3) the 10.7 cm radio peak flux, and 4) the variation in the total solar irradiance. Another 120 SARs given by previous studies of solar cycles 19–23 are also included. The latitudinal and longitudinal distributions of the 165 SARs in both the Carrington frame and the dynamic reference frame during solar cycles 19–23 are studied statistically. Results. Our results indicate that these 45 SARs produced 44% of all the X class X-ray flares during solar cycles 21–23, and that all the SARs are likely to produce a very fast CME. -
Predicting Maximum Sunspot Number in Solar Cycle 24 Nipa J Bhatt
J. Astrophys. Astr. (2009) 30, 71–77 Predicting Maximum Sunspot Number in Solar Cycle 24 Nipa J Bhatt1,∗, Rajmal Jain2 & Malini Aggarwal2 1C. U. Shah Science College, Ashram Road, Ahmedabad 380 014, India. 2Physical Research Laboratory, Navrangpura, Ahmedabad 380 009, India. ∗e-mail: [email protected] Received 2008 November 22; accepted 2008 December 23 Abstract. A few prediction methods have been developed based on the precursor technique which is found to be successful for forecasting the solar activity. Considering the geomagnetic activity aa indices during the descending phase of the preceding solar cycle as the precursor, we predict the maximum amplitude of annual mean sunspot number in cycle 24 to be 111 ± 21. This suggests that the maximum amplitude of the upcoming cycle 24 will be less than cycles 21–22. Further, we have estimated the annual mean geomagnetic activity aa index for the solar maximum year in cycle 24 to be 20.6 ± 4.7 and the average of the annual mean sunspot num- ber during the descending phase of cycle 24 is estimated to be 48 ± 16.8. Key words. Sunspot number—precursor prediction technique—geo- magnetic activity index aa. 1. Introduction Predictions of solar and geomagnetic activities are important for various purposes, including the operation of low-earth orbiting satellites, operation of power grids on Earth, and satellite communication systems. Various techniques, namely, even/odd behaviour, precursor, spectral, climatology, recent climatology, neural networks have been used in the past for the prediction of solar activity. Many investigators (Ohl 1966; Kane 1978, 2007; Thompson 1993; Jain 1997; Hathaway & Wilson 2006) have used the ‘precursor’ technique to forecast the solar activity. -
Our Sun Has Spots.Pdf
THE A T M O S P H E R I C R E S E R V O I R Examining the Atmosphere and Atmospheric Resource Management Our Sun Has Spots By Mark D. Schneider Aurora Borealis light shows. If you minima and decreased activity haven’t seen the northern lights for called The Maunder Minimum. Is there actually weather above a while, you’re not alone. The end This period coincides with the our earth’s troposphere that con- of Solar Cycle 23 and a minimum “Little Ice Age” and may be an cerns us? Yes. In fact, the US of sunspot activity likely took place indication that it’s possible to fore- Department of Commerce late last year. Now that a new 11- cast long-term temperature trends National Oceanic and over several decades or Atmospheric Administra- centuries by looking at the tion (NOAA) has a separate sun’s irradiance patterns. division called the Space Weather Prediction Center You may have heard (SWPC) that monitors the about 22-year climate weather in space. Space cycles (two 11-year sun- weather focuses on our sun spot cycles) in which wet and its’ cycles of solar activ- periods and droughts were ity. Back in April of 2007, experienced in the Mid- the SWPC made a predic- western U.S. The years tion that the next active 1918, 1936, and 1955 were sunspot or solar cycle would periods of maximum solar begin in March of this year. forcing, but minimum Their prediction was on the precipitation over parts of mark, Solar Cycle 24 began NASA TRACE PROJECT, OF COURTESY PHOTO the U.S. -
Prediction of Solar Activity on the Basis of Spectral Characteristics of Sunspot Number
Annales Geophysicae (2004) 22: 2239–2243 SRef-ID: 1432-0576/ag/2004-22-2239 Annales © European Geosciences Union 2004 Geophysicae Prediction of solar activity on the basis of spectral characteristics of sunspot number E. Echer1, N. R. Rigozo1,2, D. J. R. Nordemann1, and L. E. A. Vieira1 1Instituto Nacional de Pesquisas Espaciais (INPE), Av. Astronautas, 1758 ZIP 12201-970, Sao˜ Jose´ dos Campos, SP, Brazil 2Faculdade de Tecnologia Thereza Porto Marques (FAETEC) ZIP 12308-320, Jacare´ı, Brazil Received: 9 July 2003 – Revised: 6 February 2004 – Accepted: 18 February 2004 – Published: 14 June 2004 Abstract. Prediction of solar activity strength for solar cy- when daily averages are more frequently available (Hoyt and cles 23 and 24 is performed on the basis of extrapolation of Schatten, 1998a, b). sunspot number spectral components. Sunspot number data When the solar cycle is in its maximum phase, there are during 1933–1996 periods (solar cycles 17–22) are searched important terrestrial consequences, such as the higher solar for periodicities by iterative regression. The periods signifi- emission of extreme-ultraviolet and ultraviolet flux, which cant at the 95% confidence level were used in a sum of sine can modulate the middle and upper terrestrial atmosphere, series to reconstruct sunspot series, to predict the strength and total solar irradiance, which could have effects on terres- of solar cycles 23 and 24. The maximum peak of solar cy- trial climate (Hoyt and Schatten, 1997), as well as the coronal cles is adequately predicted (cycle 21: 158±13.2 against an mass ejection and interplanetary shock rates, responsible by observed peak of 155.4; cycle 22: 178±13.2 against 157.6 geomagnetic activity storms and auroras (Webb and Howard, observed). -