Olga Khabarova Heliophysical Laboratory, Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation RAS (IZMIRAN), Moscow, Russia

Slides:



Advertisements
Similar presentations
Olga Khabarova & Vladimir obridko Heliophysical Laboratory, Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation RAS (IZMIRAN), Moscow,
Advertisements

Space Research Institute Short-term space weather forecast A.A. Petrukovich Space Research Institute, Russian Academy of Sciences with contributions from.
Solar and Interplanetary Sources of Geomagnetic disturbances Yu.I. Yermolaev, N. S. Nikolaeva, I. G. Lodkina, and M. Yu. Yermolaev Space Research Institute.
On the Space Weather Response of Coronal Mass Ejections and Their Sheath Regions Emilia Kilpua Department of Physics, University of Helsinki
Substorm Activity during CME and CIR Driven Storms Smitha Thampi, Diwakar Tiwari, Ruigang Wang, Hui Zhang, Ling Qian Zhang, Yihua Zheng Tutor: Robert L.
ESS 7 Lecture 14 October 31, 2008 Magnetic Storms
Spatial distribution of the auroral precipitation zones during storms connected with magnetic clouds O.I. Yagodkina 1, I.V. Despirak 1, V. Guineva 2 1.
1 Grades 3 - 5: Introduction. 2 Better Observation Of The Sun And Earth Importance of Space Technology.
Lecture 3 Introduction to Magnetic Storms. An isolated substorm is caused by a brief (30-60 min) pulse of southward IMF. Magnetospheric storms are large,
Solar Activity and VLF Prepared by Sheila Bijoor and Naoshin Haque Stanford University, Stanford, CA IHY Workshop on Advancing VLF through the Global AWESOME.
The “cone model” was originally developed by Zhao et al. ~10 (?) years ago in order to interpret the times of arrival of ICME ejecta following SOHO LASCO.
Physics of the relationship of ICMEs to their CME progenitors (Wed AM) Two major efforts are under way to address the structure of CMEs that hit the Earth,
Recap and Space Weather In the Magnetosphere (II) Yihua Zheng June 5, 2014 SW REDI.
Further investigations of the July 23, 2012 extremely rare CME: What if the rare CME was Earth-directed? C. M. Ngwira 1,2, A. Pulkkinen 2, P. Wintoft 3.
Extreme Space Weather Warning System Andrew Fazakerley (1), Chris Arridge (1), Dhiren Kataria (1), Jonny Rae (1), Matthew Stuttard (2) (1) Mullard Space.
Numerical simulations are used to explore the interaction between solar coronal mass ejections (CMEs) and the structured, ambient global solar wind flow.
CR variation during the extreme events in November 2004 Belov (a), E. Eroshenko(a), G. Mariatos ©, H. Mavromichalaki ©, V.Yanke (a) (a) IZMIRAN), ,
The Role of ULF wave activity in solar wind-magnetosphere interactions and magnetospheric electron acceleration V. Pilipenko, N. Romanova, M. Engebretson,
Magnetospheric ULF wave activity monitoring based on the ULF-index OLGA KOZYREVA and N. Kleimenova Institute of the Earth Physics, RAS.
A Catalog of Halo Coronal Mass Ejections from SOHO N. Gopalswamy 1, S. Yashiro 2, G. Michalek 3, H. Xie 3, G. Stenborg 2, A. Vourlidas 4, R. A. Howard.
Magnetic Storm Generation by Various Types of Solar Wind: Event Catalog, Modeling and Prediction N. S. Nikolaeva, Yu.I. Yermolaev, and I. G. Lodkina Space.
How does the Sun drive the dynamics of Earth’s thermosphere and ionosphere Wenbin Wang, Alan Burns, Liying Qian and Stan Solomon High Altitude Observatory.
Space Weather from Coronal Holes and High Speed Streams M. Leila Mays (NASA/GSFC and CUA) SW REDISW REDI 2014 June 2-13.
Cynthia López-Portela and Xochitl Blanco-Cano Instituto de Geofísica, UNAM A brief introduction: Magnetic Clouds’ characteristics The study: Event types.
A.V. Belov 1, E. A. Eroshenko 1, H. Mavromichalaki 2, V.A. Oleneva 1, A. Papaioannou 2, G. Mariatos 2, V. G. Yanke 1 (1) Institute of Terrestrial Magnetism,
Nowcast model of low energy electrons (1-150 keV) for surface charging hazards Natalia Ganushkina Finnish Meteorological Institute, Helsinki, Finland.
Global Simulation of Interaction of the Solar Wind with the Earth's Magnetosphere and Ionosphere Tatsuki Ogino Solar-Terrestrial Environment Laboratory.
Statistical properties of southward IMF and its geomagnetic effectiveness X. Zhang, M. B. Moldwin Department of Atmospheric, Oceanic, and Space Sciences,
Solar and STP science with AstroGrid Silvia Dalla School of Physics & Astronomy, University of Manchester A PPARC funded project.
Identifying the Role of Solar-Wind Number Density in Ring Current Evolution Paul O’Brien and Robert McPherron UCLA/IGPP.
Lessons for STEREO - learned from Helios Presented at the STEREO/Solar B Workshop, Rainer Schwenn, MPS Lindau The Helios.
Forecast of Geomagnetic Storm based on CME and IP condition R.-S. Kim 1, K.-S. Cho 2, Y.-J. Moon 3, Yu Yi 1, K.-H. Kim 3 1 Chungnam National University.
IAGA Symposium A12.2 Geomagnetic networks, computation and definition of products for space weather and space climate Melbourne, Australia, 2011 GLOBAL,
Interplanetary Shocks in the Inner Solar System: Observations with STEREO and MESSENGER During the Deep Solar Minimum of 2008 H.R. Lai, C.T. Russell, L.K.
CSI 769 Fall 2009 Jie Zhang Solar and Heliospheric Physics.
Japan, ICRC 2003 Daejeon, UN/ESA/NASA/JAXA Workshop, Sept 2009 Satellite Anomalies and Space Weather By Lev Dorman for INTAS team (A. Belov, L. Dorman,,
Publications in Comparative Magnetospheres Siscoe, G. L.: Towards a comparative theory of magnetospheres, in Solar System Plasma Physics, Vol. II, edited.
ENERGY ESTIMATION OF THE INTERPLANETARY PLASMA DURING STRONGEST GEOMAGNETIC STORMS OF THE CURRENT 24 SOLAR CYCLE ON MARCH 2015 The geomagnetic storms.
O N THE INFLUENCE OF THE CORONAL HOLE LATITUDE AND POLARITY ON THE GEOMAGNETIC ACTIVITY AND COSMIC RAY VARIATIONS Abunina Maria, IZMIRAN, Russia Abunin.
Quo vadis? Jeffrey Hughes Boston University. Quo vadis? Where are you going?
GEOEFFECTIVE INTERPLANETARY STRUCTURES: 1997 – 2001 A. N. Zhukov 1,2, V. Bothmer 3, A. V. Dmitriev 2, I. S. Veselovsky 2 1 Royal Observatory of Belgium.
CME Propagation CSI 769 / ASTR 769 Lect. 11, April 10 Spring 2008.
What we can learn from the intensity-time profiles of large gradual solar energetic particle events (LGSEPEs) ? Guiming Le(1, 2,3), Yuhua Tang(3), Liang.
Yu.G. Shafer Institute of Cosmophysical Research and Aeronomy of SB RAS Transparency of a magnetic cloud boundary for cosmic rays I.S. Petukhov, S.I. Petukhov.
Global Structure of the Inner Solar Wind and it's Dynamic in the Solar Activity Cycle from IPS Observations with Multi-Beam Radio Telescope BSA LPI Chashei.
Modeling 3-D Solar Wind Structure Lecture 13. Why is a Heliospheric Model Needed? Space weather forecasts require us to know the solar wind that is interacting.
Introduction to Space Weather Jie Zhang CSI 662 / PHYS 660 Spring, 2012 Copyright © Syllabus Jan. 26, 2012.
Extreme Event Symposium 2004 MAGNETOSPHERIC EFFECT in COSMIC RAYS DURING UNIQUE MAGNETIC STORM IN NOVEMBER Institute of Terrestrial Magnetism,
A.V. Belov 1, E. A. Eroshenko 1, H. Mavromichalaki 2, V.A. Oleneva 1, A. Papaioannou 2, G. Mariatos 2, V. G. Yanke 1 (1) Institute of Terrestrial Magnetism,
ESS 261 Lecture April 28, 2008 Marissa Vogt. Overview  “Probabilistic forecasting of geomagnetic indices using solar wind air mass analysis” by McPherron.
Shocks in the IPS Wageesh Mishra Eun-kyung Joo Shih-pin Chen.
Multi-Point Observations of The Solar Corona for Space weather Acknowledgements The forecasting data was retrieved from NOAA SWPC products and SIDC PRESTO.
The CME geomagnetic forecast tool (CGFT) M. Dumbović 1, A. Devos 2, L. Rodriguez 2, B. Vršnak 1, E. Kraaikamp 2, B. Bourgoignie 2, J. Čalogović 1 1 Hvar.
1 Test Particle Simulations of Solar Energetic Particle Propagation for Space Weather Mike Marsh, S. Dalla, J. Kelly & T. Laitinen University of Central.
Earth’s Magnetosphere Space Weather Training Kennedy Space Center Space Weather Research Center.
1 Pruning of Ensemble CME modeling using Interplanetary Scintillation and Heliospheric Imager Observations A. Taktakishvili, M. L. Mays, L. Rastaetter,
30 April 2009 Space Weather Workshop 2009 The Challenge of Predicting the Ionosphere: Recent results from CISM. W. Jeffrey Hughes Center for Integrated.
Source and seed populations for relativistic electrons: Their roles in radiation belt changes A. N. Jaynes1, D. N. Baker1, H. J. Singer2, J. V. Rodriguez3,4.
Space Weather in situ measurements perspective
Drivers and Solar Cycles Trends of Extreme Space Weather Disturbances
Drivers and Solar Cycles Trends of Extreme Space Weather Disturbances
Extremely Intense (SML ≤ nT) Supersubstorms (SSS)
Introduction to Space Weather Interplanetary Transients
Solar Wind Transients and SEPs
Solar and Heliospheric Physics
Introduction to Space Weather
Physics 320: Interplanetary Space and the Heliosphere (Lecture 24)
P. Stauning: The Polar Cap (PC) Index for Space Weather Forecasts
SIDC Space Weather Briefing
Added-Value Users of ACE Real Time Solar Wind (RTSW) Data
Presentation transcript:

Olga Khabarova Heliophysical Laboratory, Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation RAS (IZMIRAN), Moscow, Russia QUALITY OF FORECASTS ~ 90%< 75% NO CORRECT INFORMATION Long-term Medium-term Short-term The short-term forecasts are based on information from spacecraft in the Sun-Earth libration point and different statistical models based on near-Earth plasma data and geomagnetic field disturbance level analysis. Such forecasts are rather exact, up to ~90%, but their alert time (ΔТ~1 hour) is too small for preventing of a storm hazard. The long-term forecasts try to predict general space weather and geomagnetic situation in relatively far future, using solar observations and different statistical models. There is no correct information about the accuracy level of this type of forecasts. The medium-term forecasts are most valuable for practical aims. Methods of their realization are mainly based on the recognition of the approach of CME-like structures to the Earth. ICME interactions with the Earth magnetosphere are considered as a cause of superintense geomagnetic storms. As a result, CME-like structures are considered to be producing moderate and weak magnetic storms as well. Most of the medium-term forecast methods are oriented towards the prediction of probability of the onset of severe storms (with Dst < - 80 nT) only. So, the medium-term forecasts’ quality remains rather modest: even during a solar maximum (when the CME number is large) the successful forecasting rate is ~ 75%. The rate of successful forecasts falls down catastrophically during solar minimum. Dst < -80nT 100% Geomagnetic storm prediction remains on the probabilistically casual level ~50%, as scientific community is interested in investigations of severe storms’ origin only. 100% 75% 10% Dst<-30nT 7.5% In spite of our growing knowledge we can predict only ~75% of geomagnetic storms with Dst<-80nT, but number of such storms is merely ~10% of the total (W.D.Gonzales, 1994). We can predict only 75% from 10% of the total number of magnetic storms. We can predict only 7.5% of all geomagnetic storms. We can predict nothing… There is no assurance that weak and moderate storms obey the rules found for severe storms N < 8 1/cm 3 V> 600km/s Long-lasting negative Bz + HIGH speed + LOW density  geomagnetic storm Bz~ -5nT Bz~ -3nT N < 4 1/cm 3 V> 600km/s negative Bz Long-lasting negative Bz + HIGH density+ stably LOW speed = geomagnetic storm time delay between sharp growth of N and Bz falling lower than -5nT A superposed epoch analysis for Kataoka and Miyoshi list of 22 magnetic storms of mixed origin with Dst<-100nT, The onset day is shown by the vertical line. Kataoka, R., and Y. Miyoshi (2006), Flux enhancement of radiation belt electrons during geomagnetic storms driven by coronal mass ejections and corotating interaction regions, Space Weather, 4, S09004, doi: /2005SW ) The solar wind becomes more dense and turbulent 1 day before severe geomagnetic storms of mixed origin. negative Bz Long-lasting negative Bz + HIGH density+ stably LOW speed = geomagnetic storm Problems of medium-term magnetic storm forecasting seem to be a result of the shift of the interest of scientific community to the prognosis of severe magnetic storms only and to estimation of probability of CMEs’ (and, more rarely, CIRs) occurrence at 1 AU as the main prognostic factor. The most hopeful way of problems’ solving is changing of the dominating paradigm, and investigation of the weak and moderate magnetic storms’ origin from the prognostic point of view. Superposed epoch time series of solar wind and magnetospheric data for the set of 389 magnetic storms with Dst>-80nT, The onset day is shown by the vertical line. McPherron’s List of magnetic storms: g_cdaw/data/cdaw4/McPherron/ MagStorms6403.txt The solar wind becomes more dense and turbulent 1-2 days before moderate and weak geomagnetic storms. The solar wind density plays a more significant geoeffective role than it was previously assumed. A sharp density increase and consequent negative Bz can produce weak, moderate and even strong magnetic storms without any significant changes of the solar wind velocity. Most geomagnetic storms are associated with “high-density”, but not with high-velocity streams of the solar wind. The well-known rule: “High speed + long-lasting negative Bz + compression = severe geomagnetic storm” must be supplemented with the rule: “Sharp solar wind density increase + consequent negative IMF Bz = weak or moderate geomagnetic storm”. Intensity of the density-driven geomagnetic storms depends on maximum of the density, minimum of Bz values and a time-lag between them. Solar wind turbulence growths ~1 day before magnetic storms. All these facts may be used for prognostic aims. 1. Khabarova O.V., Current Problems of Magnetic Storm Prediction and Possible Ways of Their Solving. Sun and Geosphere, 2(1), pp , Khabarova O., Pilipenko V., Engebretson M.J., and Rudenchik E., Solar wind and interplanetary magnetic field features before magnetic storm onset. Proceedings of the Eighth International Conference on Substorms (ICS-8), edited by Syrjäsuo and Donovan, University of Calgary Press, Alberta, Canada, , 2007, Khabarova O.V., and Yu.I.Yermolaev, Solar wind parameters' behavior before and after magnetic storms., J. of Atm. and Sol.-Ter. Phys., 70 (2-4), pp , 2008