Quantifying ionospheric disturbances for user oriented applications

Slides:



Advertisements
Similar presentations
B. Zolesi *, Lj.R. Cander **, A. Belehaki ***, I.Tsagouri ***, M.Pezzopane * and S.Pau * Istituto Nazionale di Geofisica e Vulcanologia, Italy; ** Rutherford.
Advertisements

Space Weather Effects over EGNOS Performance in the North of Europe 11 th SWW, Liege, 17 th November 2014 Presenter author: Pedro Pintor Authors: R. Roldán,
1 Effects of solar activity, co-rotating interaction regions, and climate change on thermospheric density during the solar cycle 23/24 minimum Stan Solomon.
Earth Science Sector Characterization of high latitude GPS sensed ionospheric irregularities: Case studies Reza Ghoddousi-Fard¹, Paul Prikryl², Kjellmar.
Centennial Variations of Near-Earth IMF and Solar Wind Speed 09:50, Friday November 21 auditorium Reine Elisabeth Session: 14 Space Climate Time allowed.
29 April 2011Viereck: Space Weather Workshop 2011 The Recent Solar Minimum: How Low Was It? What Were The Consequences? Rodney Viereck NOAA Space Weather.
Propagation Index and Short Wave Communications Rodney Wolfe N3XG.
Space weather phenomena in the ionosphere and their effect on GNSS (Presented by Japan) IPXX ICAO ISTF/4 New Delhi, India, 5th to 7th February 2014 SUMMARY.
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.
Occurrence and properties of substorms associated with pseudobreakups Anita Kullen Space & Plasma Physics, EES.
DIAS home page Second European Space Weather Week, ESTEC, Noordwijk, The Netherlands, November 2005 European Digital.
Space Weather Workshop, Boulder, CO, April 2013 No. 1 Ionospheric plasma irregularities at high latitudes as observed by CHAMP Hermann Lühr and.
Abstract Since the ionosphere is the interface between the Earth and space environments and impacts radio, television and satellite communication, it is.
Space Weather influence on satellite based navigation and precise positioning R. Warnant, S. Lejeune, M. Bavier Royal Observatory of Belgium Avenue Circulaire,
Introduction The primary geomagnetic storm indicator is the Dst index. This index has a well established ‘recipe’ by which ground-based observations are.
Geospace Variability through the Solar Cycle John Foster MIT Haystack Observatory.
Monday 13 th November GSY/050388/ © BAE SYSTEMS All Rights Reserved ESA Space Weather Applications Pilot Project Service Development.
Effects of ionospheric small- scale structures on GNSS G. WAUTELET Royal Meteorological Institute of Belgium Ionospheric Radio Systems & Techniques (IRST)
Chapter 7 Propagation The Ionosphere
5 th European Space Weather Week, November 2008, Brussels Operational implementation of the SWIF model in DIAS system Tsagouri Ioanna Koutroumbas.
Secular variation in Germany from repeat station data and a recent global field model Monika Korte and Vincent Lesur Helmholtz Centre Potsdam, German Research.
K9LA Vancouver 2003 Disturbances to Propagation Carl Luetzelschwab K9LA CQ DX?Where’d everybody go?
Understand band condition information Use a propagation gadget
1 Space Environment Corporation Investigation and Development of Data-Driven D-Region Model for HF Systems Impacts D. Rice Space Environment Corp., Providence,
An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the.
Mapping high-latitude TEC fluctuations using GNSS I.I. SHAGIMURATOV (1), A. KRANKOWSKI (2), R. SIERADZKI (2), I.E. ZAKHARENKOVA (1,2), Yu.V. CHERNIAK (1),
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.
ENERGY ESTIMATION OF THE INTERPLANETARY PLASMA DURING STRONGEST GEOMAGNETIC STORMS OF THE CURRENT 24 SOLAR CYCLE ON MARCH 2015 The geomagnetic storms.
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.
Abstract/INTRODUCTION Electron density (ED) data returned by the ARIEL 3 and ARIEL 4 Satellites have been separated into seasonal, diurnal, longitudinal.
0 7th ESWW, Bruges, Ionospheric Scintillations Propagation Model Y. Béniguel, J-P Adam IEEA, Courbevoie, France.
Extreme Event Symposium 2004 MAGNETOSPHERIC EFFECT in COSMIC RAYS DURING UNIQUE MAGNETIC STORM IN NOVEMBER Institute of Terrestrial Magnetism,
GALOCAD GAlileo LOcal Component for nowcasting and forecasting Atmospheric Disturbances R. Warnant, G. Wautelet, S. Lejeune, H. Brenot, J. Spits, S. Stankov.
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.
Effects of January 2010 stratospheric sudden warming in the low-latitude ionosphere L. Goncharenko, A. Coster, W. Rideout, MIT Haystack Observatory, USA.
Radio Wave Propagation
1 Test Particle Simulations of Solar Energetic Particle Propagation for Space Weather Mike Marsh, S. Dalla, J. Kelly & T. Laitinen University of Central.
Statistical Characterization of sub-auroral polarization stream using using large scale observations by mid- latitude SuperDARN radars B. S. R. Kunduri.
Global and Regional Total Electron Content Anthony Mannucci, Xing Meng, Panagiotis Vergados, Attila Komjathy JPL/Caltech Collaborators: Sarah E. McDonald,
NASA Heliophysics Citizen Science Project Aurorasaurus is Changing Aurora Science, including Predicting Real-Time Models of Aurora Visibility Case, N.
Solar Demon Near real-time automatic
Space weather phenomena in the ionosphere and their effect on GNSS
Chapter 8 Antennas Propagation Dave Piersall, N6ORB.
Drivers and Solar Cycles Trends of Extreme Space Weather Disturbances
Hiroko Watanabe (Kyoto Univ.)
The Space Weather and Navigation Systems (SWANS) project
Ionospheric Science and Space Weather
The HF Bands For HF Beginners Gary Wescom – N0GW.
Marlon Núñez and David A. Núñez Universidad de Málaga
Solar Events towards the Earth in 2002
Mpho Tshisaphungo, Lee-Anne McKinnell and John Bosco Habarulema
Mid-latitude Electron Density Variations Under Magnetospheric Substorm Conditions As Determined From Istanbul Dynasonde Observations Aysegul Ceren MORAL,
DASH Background Server provides multiple qualities of the same video
Shuhua Li and Andrew W. Robertson
Forecasting the arrival time of the CME’s shock at the Earth
European Space Weather Week – ESWW#14
R. Warnant*, G. Wautelet*, S. Lejeune*, H. Brenot*,
NASA, ESA Spacecraft Track Solar Storm Through Space
Verification Overview
Yuki Takagi1*, Kazuo Shiokawa1, Yuichi Otsuka1, and Martin Connors2  
Quantification of solar wind parameters from measurments by SOHO and DSCOVR spacecrafts during series of Interplanetary Coronal Mass Ejections in the.
Subauroral heliosphere-geosphere coupling during November 2004 ionospheric storms: F2-region, North-East Asia Chelpanov M. A., Zolotukhina N.A. Institute.
SIDC Space Weather Briefing
Evaluation of IRI-2012 by comparison with JASON-1 TEC and incoherent scatter radar observations during the solar minimum period Eun-Young Ji,
General Licensing Class
A. Ippolito(1), C. Cesaroni(1) and L. Spogli(1,2)  
Added-Value Users of ACE Real Time Solar Wind (RTSW) Data
SIDC Space Weather Briefing
CORONAL MASS EJECTIONS
Presentation transcript:

Quantifying ionospheric disturbances for user oriented applications I. Tsagouri, A. Belehaki, K. Koutroumbas and I. Xenaki National Observatory of Athens, IAASARS, Greece VarSITI Closing Symposium June 10-14, 2019, Sofia, Bulgaria

Motivation TechTIDE: Warning and Mitigation Technologies for TID (Travelling Ionospheric Disturbances) Effects (http://www.tech-tide.eu/) Development of algorithms for the calculation of the ambient electron density and relevant key ionospheric characteristics (e.g. foF2, hmF2, TEC). The ionospheric background will be used by the user to evaluate the criticality of current conditions. Subtask 1: Develop algorithms for the efficient background representation. The algorithms should be able to: i. reproduce the normal ionospheric changes (e.g., diurnal, monthly, seasonal and solar cycle dependence), but also large scale variations (e.g., large scale storm time effects); ii. provide output in real-time. Subtask 2: Address additional challenges in the monitoring of the ionospheric variation, including data quality issues and the characterization of the ionospheric disturbance level (weak, moderate, intense) for users’ needs.

Users’ groups Operations affected by ionospheric disturbances: Systems using the ionosphere as part of their operations such as HF communication, HF geolocation operations Systems for which the ionosphere is a noise, such as ground and space-based augmentation systems (EGNOS and GBAS) After Goodman, 2005

Background representation (I) Large scale storm effects: Use of the 30-day running medians to determine the background conditions. This option is close to the concept of the monthly median that is used widely for the determination of the normal ionospheric variation in ionospheric studies, but available in real time at the same time. Indeed, comparison tests between 30-days running medians and monthly medians indicate that there is a satisfactory agreement between them within the uncertainty limits.

Background representation (II) Small scale storm effects: Use the 60 min running averages to determine the background conditions. Bottom: The residuals of foF2 from their running median values (blue line) plotted together with the de-trended foF2 using the 60 min running averages as background (red line) over Dourbes. It is obvious that the two quantities differ largely since the de-trended foF2 does not include large scale ionospheric variations.

Characterization of the ionospheric activity level 1st step: Defining a threshold for significant disturbances. In case of running medians, we use the relative standard deviation, STD (%) of the values taken into account in the calculation of the medians. STD (%)=(STD_foF2 run median/foF2 run median)*100 The STD (%) is calculated in each epoch and it is depended on the characteristic, location, season and local time. 2012 7 locations After Tsagouri et al., 2018

Characterization of the ionospheric activity level dfoF2 median = [(foF2 – foF2_median)/foF2_median]*100

Characterization of the ionospheric activity level dfoF2 median = [(foF2 – foF2_median)/foF2_median]*100 STD (%)=(STD_foF2 run median/foF2 run median)*100 Significant Disturbances

Characterization of the ionospheric activity level Significant Disturbances

Example event: 7 - 10 September 2017 Overview of the activity Geoeffective AR2673 emitted a series of solar flares, including: an M5.5 at 20:33 UTC on Sept. 4; an X2.2 at 9:10 UTC on Sept. 6 – the most prolonged flare of Solar Cycle 24; an X9.3 at 12:02 UTC on Sept. 6 – the strongest flare of Solar Cycle 24; Occurrence of an intense and multi-step geomagnetic storm (on September 7 -9) due to the combined effects of coronal mass ejections (CMEs) and High Speed Streams (HSSs). 1st excursion: 6 September 23:05 UTC 2nd excursion: 7 September 22:27 UTC 3rd excursion: 8 September 11:05 UTC After Qian et al., 2018

TechTIDE activity report: AATR (Along Track TEC Rate) indicator of the ionospheric activity The AATR time series for 4 European receivers. 7-8 September 2017 Linked to the increases in the geomagnetic activity, the AATR in the auroral region reaches values larger than 1TECU/min (indicative of strong ionospheric activity), while large AATR values are also for mid/high latitudes. 8 September 2017 Apart from the high ionospheric activity at high latitudes, it appears also some weak activity in the mid/high latitudes probably linked to a LSTID that propagates southwards from the auroral region.

TechTIDE activity report: HF Interferometry method performance 7 September 2017 8 September 2017 Europe 7 September 2017: LSTIDs with southward propagation occurring in the day-time and in the evening to mid-night hours. 8 September 2017: LSTID activity in the early hours of the day (until 2:00 UT) for all the European stations. Typical characteristics of LSTIDs whose origin might be auroral.

TechTIDE activity report: HF - TID method performance Europe, September 8: Strong TID activity in the early morning and daytime hours. September 7: Strong TID activity in the evening hours.

TechTIDE activity report Technological systems’ malfunctions: Extended period of HF communication problems over Europe from 2100UT 7 September until 1400UT 9 September 2017: MUF drops and renders previously available link paths unusable (Frissell et al. 2019) – negative storm phase. Degraded EGNOS performance on 8 September 2017 (Magdaleno et al. 2019)

Future plans Systematic assessment of technological systems’ malfunctions wrt the intensity of the disturbances to fine tune the activity level (e.g. weak, moderate, intense – green, yellow, red). The AATR index may be exploited for correlation studies, as it is well correlated to EGNOS degradation events

VarSITI Closing Symposium Acknowledgments We acknowledge support by: EC Horizon 2020 project TechTIDE “Warning and Mitigation Technologies for Travelling Ionospheric Disturbances Effects” “PROTEAS II” (MIS 5002515) project, implemented under the Action “Reinforcement of the Research and Innovation Infrastructure”, funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund). VarSITI Closing Symposium June 10-14, 2019, Sofia, Bulgaria