Energetic Particle and Other Space Weather Events of Solar Cycle 24
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→ Investigating Solar Cycles a Soho Archive & Ulysses Final Archive Tutorial
→ INVESTIGATING SOLAR CYCLES A SOHO ARCHIVE & ULYSSES FINAL ARCHIVE TUTORIAL SCIENCE ARCHIVES AND VO TEAM Tutorial Written By: Madeleine Finlay, as part of an ESAC Trainee Project 2013 (ESA Student Placement) Tutorial Design and Layout: Pedro Osuna & Madeleine Finlay Tutorial Science Support: Deborah Baines Acknowledgements would like to be given to the whole SAT Team for the implementation of the Ulysses and Soho archives http://archives.esac.esa.int We would also like to thank; Benjamín Montesinos, Department of Astrophysics, Centre for Astrobiology (CAB, CSIC-INTA), Madrid, Spain for having reviewed and ratified the scientific concepts in this tutorial. CONTACT [email protected] [email protected] ESAC Science Archives and Virtual Observatory Team European Space Agency European Space Astronomy Centre (ESAC) Tutorial → CONTENTS PART 1 ....................................................................................................3 BACKGROUND ..........................................................................................4-5 THE EXPERIMENT .......................................................................................6 PART 1 | SECTION 1 .................................................................................7-8 PART 1 | SECTION 2 ...............................................................................9-11 PART 2 ..................................................................................................12 BACKGROUND ........................................................................................13-14 -
A Spectral Solar/Climatic Model H
A Spectral Solar/Climatic Model H. PRESCOTT SLEEPER, JR. Northrop Services, Inc. The problem of solar/climatic relationships has prove our understanding of solar activity varia- been the subject of speculation and research by a tions have been based upon planetary tidal forces few scientists for many years. Understanding the on the Sun (Bigg, 1967; Wood and Wood, 1965.) behavior of natural fluctuations in the climate is or the effect of planetary dynamics on the motion especially important currently, because of the pos- of the Sun (Jose, 1965; Sleeper, 1972). Figure 1 sibility of man-induced climate changes ("Study presents the sunspot number time series from of Critical Environmental Problems," 1970; "Study 1700 to 1970. The mean 11.1-yr sunspot cycle is of Man's Impact on Climate," 1971). This paper well known, and the 22-yr Hale magnetic cycle is consists of a summary of pertinent research on specified by the positive and negative designation. solar activity variations and climate variations, The magnetic polarity of the sunspots has been together with the presentation of an empirical observed since 1908. The cycle polarities assigned solar/climatic model that attempts to clarify the prior to that date are inferred from the planetary nature of the relationships. dynamic effects studied by Jose (1965). The sun- The study of solar/climatic relationships has spot time series has certain important characteris- been difficult to develop because of an inadequate tics that will be summarized. understanding of the detailed mechanisms respon- sible for the interaction. The possible variation of Secular Cycles stratospheric ozone with solar activity has been The sunspot cycle magnitude appears to in- discussed by Willett (1965) and Angell and Kor- crease slowly and fall rapidly with an. -
Effect of the Solar Wind Density on the Evolution of Normal and Inverse Coronal Mass Ejections S
A&A 632, A89 (2019) Astronomy https://doi.org/10.1051/0004-6361/201935894 & c ESO 2019 Astrophysics Effect of the solar wind density on the evolution of normal and inverse coronal mass ejections S. Hosteaux, E. Chané, and S. Poedts Centre for mathematical Plasma-Astrophysics (CmPA), Celestijnenlaan 200B, KU Leuven, 3001 Leuven, Belgium e-mail: [email protected] Received 15 May 2019 / Accepted 11 September 2019 ABSTRACT Context. The evolution of magnetised coronal mass ejections (CMEs) and their interaction with the background solar wind leading to deflection, deformation, and erosion is still largely unclear as there is very little observational data available. Even so, this evolution is very important for the geo-effectiveness of CMEs. Aims. We investigate the evolution of both normal and inverse CMEs ejected at different initial velocities, and observe the effect of the background wind density and their magnetic polarity on their evolution up to 1 AU. Methods. We performed 2.5D (axisymmetric) simulations by solving the magnetohydrodynamic equations on a radially stretched grid, employing a block-based adaptive mesh refinement scheme based on a density threshold to achieve high resolution following the evolution of the magnetic clouds and the leading bow shocks. All the simulations discussed in the present paper were performed using the same initial grid and numerical methods. Results. The polarity of the internal magnetic field of the CME has a substantial effect on its propagation velocity and on its defor- mation and erosion during its evolution towards Earth. We quantified the effects of the polarity of the internal magnetic field of the CMEs and of the density of the background solar wind on the arrival times of the shock front and the magnetic cloud. -
Predicting the Magnetic Vectors Within Coronal Mass Ejections Arriving at Earth: 2
Space Weather RESEARCH ARTICLE Predicting the magnetic vectors within coronal mass ejections 10.1002/2015SW001171 arriving at Earth: 1. Initial architecture Key Points: N. P.Savani1,2, A. Vourlidas1, A. Szabo2,M.L.Mays2,3, I. G. Richardson2,4, B. J. Thompson2, • First architectural design to predict A. Pulkkinen2,R.Evans5, and T. Nieves-Chinchilla2,3 a CME’s magnetic vectors (with eight events) 1 2 • Modified Bothmer-Schwenn CME Goddard Planetary Heliophysics Institute (GPHI), University of Maryland, Baltimore County, Maryland, USA, NASA 3 initiation rule to improve reliability Goddard Space Flight Center, Greenbelt, Maryland, USA, Institute for Astrophysics and Computational Sciences (IACS), of chirality Catholic University of America, Washington, District of Columbia, USA, 4Department of Astronomy, University of • CME evolution seen by remote Maryland, College Park, Maryland, USA, 5College of Science, George Mason University, Fairfax, Vancouver, USA sensing triangulation is important for forecasting Abstract The process by which the Sun affects the terrestrial environment on short timescales is Correspondence to: predominately driven by the amount of magnetic reconnection between the solar wind and Earth’s N. P. Savani, magnetosphere. Reconnection occurs most efficiently when the solar wind magnetic field has a southward [email protected] component. The most severe impacts are during the arrival of a coronal mass ejection (CME) when the magnetosphere is both compressed and magnetically connected to the heliospheric environment. Citation: Unfortunately, forecasting magnetic vectors within coronal mass ejections remain elusive. Here we report Savani, N. P., A. Vourlidas, A. Szabo, M.L.Mays,I.G.Richardson,B.J. how, by combining a statistically robust helicity rule for a CME’s solar origin with a simplified flux rope Thompson, A. -
Predictability of the Variable Solar-Terrestrial Coupling Ioannis A
https://doi.org/10.5194/angeo-2020-94 Preprint. Discussion started: 26 January 2021 c Author(s) 2021. CC BY 4.0 License. Predictability of the variable solar-terrestrial coupling Ioannis A. Daglis1,15, Loren C. Chang2, Sergio Dasso3, Nat Gopalswamy4, Olga V. Khabarova5, Emilia Kilpua6, Ramon Lopez7, Daniel Marsh8,16, Katja Matthes9,17, Dibyendu Nandi10, Annika Seppälä11, Kazuo Shiokawa12, Rémi Thiéblemont13 and Qiugang Zong14 5 1Department of Physics, National and Kapodistrian University of Athens, 15784 Athens, Greece 2Department of Space Science and Engineering, Center for Astronautical Physics and Engineering, National Central University, Taiwan 3Department of Physics, Universidad de Buenos Aires, Buenos Aires, Argentina 10 4Heliophysics Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA 5Solar-Terrestrial Department, Pushkov Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation of RAS (IZMIRAN), Moscow, 108840, Russia 6Department of Physics, University of Helsinki, Helsinki, Finland 7Department of Physics, University of Texas at Arlington, Arlington, TX 76019, USA 15 8National Center for Atmospheric Research, Boulder, CO 80305, USA 9GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany 10IISER, Kolkata, India 11Department of Physics, University of Otago, Dunedin, New Zealand 12Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Japan 20 13LATMOS, Universite Pierre et Marie Curie, Paris, France 14School of Earth and Space Sciences, Peking University, Beijing, China 15Hellenic Space Center, Athens, Greece 16Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, UK 17Christian-Albrechts Universität, Kiel, Germany 25 Correspondence to: Ioannis A. Daglis ([email protected]) Abstract. In October 2017, the Scientific Committee on Solar-Terrestrial Physics (SCOSTEP) Bureau established a 30 committee for the design of SCOSTEP’s Next Scientific Program (NSP). -
Identification of Interplanetary Coronal Mass Ejection with Magnetic Cloud in Year 2005 at 1 AU
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 3, ISSUE 6, JUNE 2014 ISSN 2277-8616 Identification Of Interplanetary Coronal Mass Ejection With Magnetic Cloud In Year 2005 At 1 AU D.S.Burud, R .S. Vhatkar, M. B. Mohite Abstract: Coronal mass ejection (CMEs) propagate in to the interplanetary medium are called as Interplanetary Coronal Mass Ejection (ICME). A set of signatures in plasma and magnetic field is used to identify the ICMEs. Magnetic Cloud (MC) is a special kind of ICMEs in which internal magnetic field configuration is similar like flux rope. We have used the data obtained from ACE Advance Composition Explorer (ACE) based in-situ measurements of Magnetic Field Experiment (MAG) and Solar Wind Electron, Proton and Alpha Monitor (SWEPAM) experiment for the data of magnetic field and plasma parameters respectively. The magnetic field data and plasma parameters of ICMEs used to distinguish them as magnetic cloud, non magnetic cloud. We analyzed eighteen ICMEs observed during January 2005 to December 2005, which is the beginning of declining phase of solar cycle 23. The analysis of magnetic field in the frames of the flux ropes like structure using a Minimum Variance Analysis (MVA) method, and have identified 30% ICMEs in the year 2005, which shows magnetic field rotation in a plane and confirmed as ICMEs with MCs. Keywords: magnetic cloud (MC), interplanetary coronal mass ejection (ICME), minimum variance analysis (MVA). ———————————————————— Introduction:- Table No: 1 Signatures used to identify ICMEs in the Coronal mass ejections (CMEs) are an energetic Heliosphere phenomenon originated in the Sun‘s corona, CMEs are eruptions of plasma and magnetic fields that drive space Sr.no. -
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. -
Solar Wind Variation with the Cycle I. S. Veselovsky,* A. V. Dmitriev
J. Astrophys. Astr. (2000) 21, 423–429 Solar Wind Variation with the Cycle I. S. Veselovsky,* A. V. Dmitriev, A. V. Suvorova & M. V. Tarsina, Institute of Nuclear Physics, Moscow State University, 119899 Moscow, Russia. *e-mail: [email protected] Abstract. The cyclic evolution of the heliospheric plasma parameters is related to the time-dependent boundary conditions in the solar corona. “Minimal” coronal configurations correspond to the regular appearance of the tenuous, but hot and fast plasma streams from the large polar coronal holes. The denser, but cooler and slower solar wind is adjacent to coronal streamers. Irregular dynamic manifestations are present in the corona and the solar wind everywhere and always. They follow the solar activity cycle rather well. Because of this, the direct and indirect solar wind measurements demonstrate clear variations in space and time according to the minimal, intermediate and maximal conditions of the cycles. The average solar wind density, velocity and temperature measured at the Earth's orbit show specific decadal variations and trends, which are of the order of the first tens per cent during the last three solar cycles. Statistical, spectral and correlation characteristics of the solar wind are reviewed with the emphasis on the cycles. Key words. Solar wind—solar activity cycle. 1. Introduction The knowledge of the solar cycle variations in the heliospheric plasma and magnetic fields was initially based on the indirect indications gained from the observations of the Sun, comets, cosmic rays, geomagnetic perturbations, interplanetary scintillations and some other ground-based methods. Numerous direct and remote-sensing space- craft measurements in situ have continuously broadened this knowledge during the past 40 years, which can be seen from the original and review papers. -
Ten Years of PAMELA in Space
Ten Years of PAMELA in Space The PAMELA collaboration O. Adriani(1)(2), G. C. Barbarino(3)(4), G. A. Bazilevskaya(5), R. Bellotti(6)(7), M. Boezio(8), E. A. Bogomolov(9), M. Bongi(1)(2), V. Bonvicini(8), S. Bottai(2), A. Bruno(6)(7), F. Cafagna(7), D. Campana(4), P. Carlson(10), M. Casolino(11)(12), G. Castellini(13), C. De Santis(11), V. Di Felice(11)(14), A. M. Galper(15), A. V. Karelin(15), S. V. Koldashov(15), S. Koldobskiy(15), S. Y. Krutkov(9), A. N. Kvashnin(5), A. Leonov(15), V. Malakhov(15), L. Marcelli(11), M. Martucci(11)(16), A. G. Mayorov(15), W. Menn(17), M. Mergè(11)(16), V. V. Mikhailov(15), E. Mocchiutti(8), A. Monaco(6)(7), R. Munini(8), N. Mori(2), G. Osteria(4), B. Panico(4), P. Papini(2), M. Pearce(10), P. Picozza(11)(16), M. Ricci(18), S. B. Ricciarini(2)(13), M. Simon(17), R. Sparvoli(11)(16), P. Spillantini(1)(2), Y. I. Stozhkov(5), A. Vacchi(8)(19), E. Vannuccini(1), G. Vasilyev(9), S. A. Voronov(15), Y. T. Yurkin(15), G. Zampa(8) and N. Zampa(8) (1) University of Florence, Department of Physics, I-50019 Sesto Fiorentino, Florence, Italy (2) INFN, Sezione di Florence, I-50019 Sesto Fiorentino, Florence, Italy (3) University of Naples “Federico II”, Department of Physics, I-80126 Naples, Italy (4) INFN, Sezione di Naples, I-80126 Naples, Italy (5) Lebedev Physical Institute, RU-119991 Moscow, Russia (6) University of Bari, I-70126 Bari, Italy (7) INFN, Sezione di Bari, I-70126 Bari, Italy (8) INFN, Sezione di Trieste, I-34149 Trieste, Italy (9) Ioffe Physical Technical Institute, RU-194021 St. -
Diapositiva 1
PAMELAPAMELA SpaceSpace MissionMission FirstFirst ResultsResults inin CosmicCosmic RaysRays Piergiorgio Picozza INFN & University of Rome “ Tor Vergata” , Italy Virtual Institute of Astroparticle Physics June 20, 2008 Robert L. Golden ANTIMATTERANTIMATTER Antimatter Lumps Trapped in our Galaxy antiparticles Antimatter and Dark Matter Research Wizard Collaboration -- BESS (93, 95, 97, 98, 2000) - MASS – 1,2 (89,91) - - Heat (94, 95, 2000) --TrampSI (93) - IMAX (96) -CAPRICE (94, 97, 98) - BESS LDF (2004, 2007) - ATIC (2001, 2003, 2005) - AMS-01 (98) AntimatterAntimatter “We must regard it rather an accident that the Earth and presumably the whole Solar System contains a preponderance of negative electrons and positive protons. It is quite possible that for some of the stars it is the other way about” P. Dirac, Nobel lecture (1933) 4% 23% 73% Signal (supersymmetry)… … and background )(GLAST AMS-02 pCR p+ → ISM p + p+ + p p + + + +pCR pISM →π → μ e → →π0 → γγ e+ → e − Another possible scenario: KK Dark Matter Lightest Kaluza-Klein Particle (LKP): B(1) Bosonic Dark Matter: fermionic final states no longer helicity suppressed. e+e- final states directly produced. As in the neutralino case there are 1-loop processes that produces monoenergetic γγin the final state. P Secondary production (upper and lower limits) Simon et al. ApJ 499 (1998) 250. from χχ Secondary annihilation production (Primary Bergström et production al. ApJ 526 m(c) = 964 (1999) 215 GeV) Ullio : astro- ph/9904086 AntiprotonAntiproton--ProtonProton RatioRatio Potgieter at -
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. -
Properties and Geoeffectiveness of Magnetic Clouds During Solar Cycles 23 and 24 N. Gopalswamy1, S. Yashiro1,2, H. Xie1,2, S. Akiyama1,2, and P
Properties and Geoeffectiveness of Magnetic Clouds during Solar Cycles 23 and 24 N. Gopalswamy1, S. Yashiro1,2, H. Xie1,2, S. Akiyama1,2, and P. Mäkelä1,2 1Solar Physics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771 2The Catholic University of America, Washington DC 20064 Corresponding author email: [email protected] Key points • Properties of magnetic clouds in cycle 23 and 24 are significantly different • Anomalous expansion of CMEs cause the magnetic dilution in clouds • Reduced magnetic content and speed of clouds lead to low geoeffectiveness • Accepted for publication in J. Geophys. Res. October 2, 2015 1 Abstract We report on a study that compares the properties of magnetic clouds (MCs) during the first 73 months of solar cycles 23 and 24 in order to understand the weak geomagnetic activity in cycle 24. We find that the number of MCs did not decline in cycle 24, although the average sunspot number is known to have declined by ~40%. Despite the large number of MCs, their geoeffectiveness in cycle 24 was very low. The average Dst index in the sheath and cloud portions in cycle 24 was -33 nT and -23 nT, compared to -66 nT and -55 nT, respectively in cycle 23. One of the key outcomes of this investigation is that the reduction in the strength of geomagnetic storms as measured by the Dst index is a direct consequence of the reduction in the factor VBz (the product of the MC speed and the out-of-the-ecliptic component of the MC magnetic field). The reduction in MC-to-ambient total pressure in cycle 24 is compensated for by the reduction in the mean MC speed, resulting in the constancy of the dimensionless expansion rate at 1 AU.