{"id":32,"date":"2019-08-29T12:21:45","date_gmt":"2019-08-29T10:21:45","guid":{"rendered":"http:\/\/www.issibern.ch\/teams\/solactregars\/?page_id=32"},"modified":"2019-08-29T12:21:45","modified_gmt":"2019-08-29T10:21:45","slug":"rationale","status":"publish","type":"page","link":"https:\/\/www.issibern.ch\/teams\/solactregars\/main-page\/rationale\/","title":{"rendered":"Project description"},"content":{"rendered":"\n<p>\n<em><strong>Problem\nstatement<\/strong><\/em><\/p>\n\n\n\n<p>\n<em>Space weather<\/em>\nis the incessant forcing exerted by solar magnetic activity on the\nspace environment of Earth and other bodies in the solar system. This\nforcing perturbs the Earth\u2019s magnetic sphere of influence\n(geospace) on timescales of hours and days. These perturbations can\nbe detrimental, and potentially catastrophic, to terrestrial\ninfrastructure and human assets in orbit, beyond the atmosphere [1].\n<em>Space climate<\/em>,\nin turn, is due to the Sun\u2019s variability over timescales of\ndecades, centuries and millennia, influencing the long-term\noccurrence frequencies of such space weather events [2,3]. An ability\nto predict space climate variations is clearly important for the\nplanning of future space missions, as well as for the incorporation\nof realistic solar forcing variations in models of future terrestrial\nclimate change.<\/p>\n\n\n\n<p>\nThe immediate cause of space climate\nvariations is the semi-regular nature of the 11-year cyclic\nvariations in solar activity: the amplitude and length of successive\nsolar cycles show quite large variations. The second half of the 20th\ncentury was characterized by a series of strong solar cycles known as\nthe Modern Maximum. This era of strong solar activity has abruptly\nended in the first decade of the 21st century. The ongoing Solar\nCycle 24 which started in 2008, peaked in 2014 with a significantly\nlower peak amplitude, somewhat below the long-term average and\nsimilar to the solar cycles seen in the early 20th century.<\/p>\n\n\n\n<p>\nThis marked change has prompted increased\ninterest in the origin of cycle-to-cycle variations in solar activity\nand in possibilities of predicting the amplitude of upcoming solar\ncycles, most notably Cycle 25. Experience has shown that the best\ncandidate for a physical precursor of the amplitude of an upcoming\ncycle is the peak strength of the solar polar magnetic fields (or\nalternatively, the solar dipole moment), reached typically around the\ntime of solar minimum [4].<\/p>\n\n\n\n<p>\nThe critical issue still open is how, in\nturn, the amplitude of the dipole field is determined by solar\nactivity in the previous cycles. Observations clearly indicate that\nthe polar fields are built up by the poleward transport of trailing\npolarity magnetic flux from bipolar active regions. (\u201cTrailing\u201d\nand \u201cleading\u201d refer to the direction of solar rotation. Trailing\npolarity is normally positioned at slightly higher latitudes than\nleading polarity, and it is the same polarity for ARs on the same\nhemisphere in the same solar cycle.) This transport is mainly due to\na meridional flow, so variations in the meridional flow have been\ninvoked as a  factor in intercycle activity variations [5-7]. \n<\/p>\n\n\n\n<p>\nAn alternative possibility has been\nhighlighted by Cameron et al. [8]  who stressed the importance of the\ntilt angle of bipolar active regions relative to the east-west\ndirection. Clearly, for zero tilt, leading and trailing polarity flux\nwould be transported towards the poles in equal rates, resulting in\nno net change in the polar flux. An increasing tilt angle will then\nlead to an increasing polar field strength. This opens two intriguing\npossibilities. On the one hand, some studies of the observational\nrecord indicate that tilt angles are anticorrelated to cycle\namplitude [9]. The origin of this anticorrelation may be related to\nthe dynamics of the emerging flux loop or to the meridional inflows\ntowards the active latitude zone associated with the torsional\noscillation pattern, the amplitude of which is determined by the\nlevel of solar activity. This <em>tilt\nquenching<\/em> is a potentially\nimportant nonlinear feedback effect of solar activity level on the\ntilt angles, and thereby on the buildup of polar fields that will\nserve as seed fields for the next cycle.<\/p>\n\n\n\n<p>\nOn the other hand, a random scatter of\ntilt angles around the mean value determined by the above process\nwill introduce a significant degree of stochasticity in the process.\nAs the total magnetic flux in the polar cap is comparable to the\nmagnetic flux in a single large active region, in some cases even one\nAR can have a major distorting effect of polar flux buildup.  Large\nexceptional or <em>rogue<\/em>\nactive regions disobeying Joy&#8217;s law or Hale&#8217;s polarity rules [10,11]\ncan potentially play havoc with the buildup of polar fields,\nespecially if they emerge near the equator as in this case a higher\nfraction of one polarity can diffuse across the equator, avoiding\ncancellation with its opposite polarity counterpart.  It has been\nshown in a dynamo model that in extreme cases such freak events may\neven trigger longer episodes of unusually low or unusually high\nactivity, i.e. grand minima or grand maxima [12].<\/p>\n\n\n\n<p>\nIn view of the above developments, for\nimproving solar activity forecasts on a decadal scale (i.e. for space\nclimate forecasting) we need to<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>\n\n\timprove our theoretical understanding of\n\tthe respective roles played by various nonlinear feedback effects on\n\tthe dynamo and by stochastic fluctuations represented by individual\n\tAR\n\t<\/li><li>\n\n\tassimilate actual observations of\n\tindividual solar active regions into the models and calibrate the\n\tmodels to solar observations\n\t<\/li><li>\n\n\tclarify the role, character and origin\n\tof meridional flow variations as a further potentially important\n\tmechanism in intercycle variations\n<\/li><\/ul>\n\n\n\n<p>\n<em><strong>Objectives<\/strong><\/em><\/p>\n\n\n\n<p>\nThe goal of our collaborative project is\nto advance our understanding of the mechanisms leading to major\nchanges in space climate by making progress in the modelling of the\neffects of large and complex active regions. We will combine the\nexisting expertise of team members in order to systematically study\nthe impact of large and complex solar active regions on space\nclimate. We will make concerted efforts towards some or all of the\nfollowing general objectives:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>\n\n\tinvestigate what are those\n\tcharacteristics of active regions (other than sheer size) that\n\tcontribute most to their effectivity in impacting space climate. In\n\tparticular we will study how dynamo effectivity depends on the\n\temergence latitude of ARs and, in view of some recent results [13],\n\thow the deviations of real AR from simple bipoles (e.g. timing of\n\temergence and decay, and complex, extended spatial structure) may be\n\tbest represented in the theoretical models. These studies will rely\n\ton surface flux transport (SFT) and dynamo models. In this respect\n\twe also need to\n\t<\/li><li>\n\n\timprove the calibration of SFT and\n\tdynamo models to observations to best represent the large-scale\n\tsolar magnetic field, building on recent results [14]. This work may\n\talso involve the incorporation of hitherto neglected effects into\n\tthe models, a case in point being pumping effects in  dynamo models\n\t[15].  In parallel with this, we need to\n\t<\/li><li>\n\n\tclarify the influence of parameters and\n\tother choices in surface flux transport and dynamo models on the\n\tgeneral characteristics of the solar magnetic cycle, on nonlinear\n\tfeedback effects and on the dynamo effectivity of individual ARs.\n\tThe incorporation of actual solar observations into such models\n\tshould then open the way towards better forecasting of solar cycle\n\tvariations. To this end, we will\n\t<\/li><li>\n\n\tcollect, select and process\n\tobservational data, analyzing a set of ARs carefully selected from\n\tthe archives to test and validate our theoretical inferences. We may\n\tfurther collect data for and model large and complex historical \n\t(pre-1950s) active regions to assess their potential role in the\n\tspace climate of the past. In addition we will select and analyze\n\tany candidate regions from solar patrol observations that may have\n\tsignificant effects on space climate. Finally, building on these\n\tresults it will be possible to\n\t<\/li><li>\n\n\tattempt to explain and reproduce past\n\tintercycle variations in solar activity by modelling the effect of\n\tthe rogue AR candidates selected\n<\/li><\/ul>\n\n\n\n<p>\nWhile not losing the clear focus of this\nresearch project, we also plan to extend its scope by considering<\/p>\n\n\n\n<p>\n &#8211; hemispheric asymmetries: these may be\nintroduced by rogue AR either directly (by the AR affecting primarily\nthe hemisphere where it is located) or indirectly, by exciting a\nquadrupolar dynamo mode, as suggested recently [16].\nIt should be noted that the call from the NOAA\/NASA cycle 25\nprediction panel mentions explicitly hemispheric asymmetry as a\ntarget prediction [17].<\/p>\n\n\n\n<p>\n&#8211; variations in the meridional\nflow\/torsional oscillation pattern, as another potential factor in\nintercycle activity variations [5-7]<\/p>\n\n\n\n<p>\n&#8211; the possibility to compute probability\ndistributions for two-cycle predictions, if the effectivity of large\nactive regions on upcoming cycles is accurately characterized.<\/p>\n\n\n\n<p>\n<em><strong>Methodology<\/strong><\/em><\/p>\n\n\n\n<p>\nIn order to make advance towards these\ngoals the team will<\/p>\n\n\n\n<p>\n &#8211; discuss the factors influencing dynamo\neffectivity<\/p>\n\n\n\n<p>\n &#8211; summarize the available information\nabout the issue from previous research<\/p>\n\n\n\n<p>\n &#8211; conduct its own exploratory studies\nusing existing surface flux transport and dynamo codes at the\nparticipants&#8217; disposal (particularly the 2X2D dynamo code, the 3D\nSTABLE dynamo code and the AFT and MPS SFT codes).<\/p>\n\n\n\n<p>\n&#8211; make benchmark tests and comparisons of\nthe aforementioned codes, and perform calibration to observations<\/p>\n\n\n\n<p> &#8211; comb through archive <em>data from space observatories<\/em> (e.g. SoHO, SDO, Hinode) and historical observational databases to identify some rogue AR candidates, collecting available information.<\/p>\n\n\n\n<p>\n<em><strong>References<\/strong><\/em><\/p>\n\n\n\n<p>\n[1] National Research Council: Severe\nSpace Weather Events. Nat. Academies Press (2009)<\/p>\n\n\n\n<p>\n[2] Petrovay K, Living Rev. Sol. Phys. 7,\n6 (2010)<\/p>\n\n\n\n<p>\n[3] Usoskin IG, Living Rev. Sol. Phys.\n14, 3 (2017)<\/p>\n\n\n\n<p>\n[4] Mu\u00f1oz-Jaramillo A, Balmaceda LA,\nDeLuca EE: Phys. Rev. Lett.  111(4), 041106 (2013)<\/p>\n\n\n\n<p>\n[5] Jiang J, I\u015fik\nE, Cameron RH, Schmitt D, Sch\u00fcssler M: Astrophys. J. 717, 597\n(2010), \n<\/p>\n\n\n\n<p>\n[6] Hathaway DH, Upton L: J. Geophys.\nRes. A 119, 3316 (2014)<\/p>\n\n\n\n<p>\n[7] Upton L, Hathaway DH: Astrophys. J.\n792, 142 (2014)<\/p>\n\n\n\n<p>\n[8] Cameron RH, Jiang J, Schmitt D.,\nSch\u0171ssler, M: Astrophys. J. 719, 264 (2010)<\/p>\n\n\n\n<p>\n[9] Dasi-Espuig M, Solanki SK, Krivova\nNA, Cameron R, Pe\u00f1uela T.: Astron. Astrophys. 518, A7 \n<\/p>\n\n\n\n<p>\n     (2010)<\/p>\n\n\n\n<p>\n[10] McClintock BH, Norton AA: \nAstrophys. J. 797, 130 (2014)<\/p>\n\n\n\n<p>\n[11] Jiang J, Cameron RH, Sch\u00fcssler M:\nAstrophys. J. 791,  5 (2014)<\/p>\n\n\n\n<p> [12] Nagy M. Lemerle A, Labonville F, Petrovay K, Charbonneau P:  Sol. Phys. 292, 167 (2017)<\/p>\n\n\n\n<p>\n[13] Jiang J, Song Q,  Wang J-X, Baranyi\nT: Astrophys. J. 871, 16 (2019)<\/p>\n\n\n\n<p>\n[14] Virtanen I &amp; Mursula K: Astron.\nAstrophys. 604, 7 (2017)<\/p>\n\n\n\n<p>\n[15] Karak BB &amp; Cameron RH:\nAstrophys. J 832, 94 (2016)<\/p>\n\n\n\n<p>\n[16] Sch\u00fcssler M, Cameron RH: Astron.\nAstrophys. 618, 89 (2018)<\/p>\n\n\n\n<p>\n[17] Upton L: Solar Cycle 25 Call for\nPredictions. Solar News 2019\/1<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Problem statement Space weather is the incessant forcing exerted by solar magnetic activity on the space environment of Earth and other bodies in the solar system. This forcing perturbs the Earth\u2019s magnetic sphere of influence (geospace) on timescales of hours &hellip; <a href=\"https:\/\/www.issibern.ch\/teams\/solactregars\/main-page\/rationale\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":14,"parent":269,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-32","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/pages\/32","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/comments?post=32"}],"version-history":[{"count":0,"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/pages\/32\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/pages\/269"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/media\/14"}],"wp:attachment":[{"href":"https:\/\/www.issibern.ch\/teams\/solactregars\/wp-json\/wp\/v2\/media?parent=32"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}