Space Weather Studies with EISCAT_3D: Developing the Science Case Ian McCrea on behalf of the EISCAT_3D Project Team.

Slides:



Advertisements
Similar presentations
Flexible Airborne Architecture
Advertisements

Space Weather dependence of the air drag as observed by CHAMP Hermann Lühr 1) and Huixin Liu 2) 1) GeoForschungsZentrum Potsdam, Germany 2) Dept. Earth.
ESWW 5 Some ionospheric effects on ground based radar Y. Béniguel, J.-P. Adam.
NAIC-NRAO School on Single-Dish Radio Astronomy. Arecibo, July 2005
Ionosphere Climate Studied by F3 / COSMIC Constellation C. H. Liu Academia Sinica In Collaboration with Tulasi Ram, C.H. Lin and S.Y. Su.
THE AUSTRALIAN NATIONAL UNIVERSITY Infrasound Technology Workshop, November 2007, Tokyo, Japan OPTIMUM ARRAY DESIGN FOR THE DETECTION OF DISTANT.
The EISCAT_3D Science Case: Current Status (Part 1) Ian McCrea (RAL), Anita Aikio (Oulu) and the EISCAT_3D Science Working Group.
The EISCAT_3D Science Case: Atmospheric Section Ian McCrea STFC RAL.
The EISCAT Radar Facilities Ian McCrea STFC RAL. What is EISCAT? International Scientific Association Established agreeement since 1975 First observations.
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,
Netherlands Institute for Radio Astronomy 1 ASTRON is part of the Netherlands Organisation for Scientific Research (NWO) From LOFAR design to SKA1 System.
Space Weather Forecast Models from the Center for Integrated Space Weather Modeling The Solar Wind Forecast Model Carrington Rotation 1896Carrington Rotation.
Interference Daniel Mitchell, ATNF and Sydney University.
Inversion imaging of the Sun-Earth System Damien Allain, Cathryn Mitchell, Dimitriy Pokhotelov, Manuchehr Soleimani, Paul Spencer, Jenna Tong, Ping Yin,
1.B – Solar Dynamo 1.C – Global Circulation 1.D – Irradiance Sources 1.H – Far-side Imaging 1.F – Solar Subsurface Weather 1.E – Coronal Magnetic Field.
Development of Active Phased Array Weather Radar
1 UNCLASSIFIED – FOUO – Not for Public Release Operational Space Environment Network Display (OpSEND) & the Scintillation Network Decision Aid Dr. Keith.
Instrumental & Technical Requirements. Science objectives for helioseismology Understanding the interaction of the p-mode oscillations and the solar magnetic.
Work Package 6: Performance Specification Ian McCrea.
The EISCAT_3D Preparatory Phase Ian McCrea STFC Rutherford Appleton Laboratory On behalf of The EISCAT_3D Project Team.
Ian McCrea STFC Rutherford Appleton Laboratory Chilton, Oxfordshire, UK On behalf of the EISCAT_3D Project Consortium.
Current and Planned Space Weather Activities. Incoherent Scatter: electron density electron temperature ion temperature line-of-sight velocity (~3500.
Dale E. Gary Professor, Physics, Center for Solar-Terrestrial Research New Jersey Institute of Technology 1 03/15/2012Preliminary Design Review.
Space Weather Major sources of space weather ● Solar wind – a stream of plasma consisting of high energy charged particles released from the upper atmosphere.
Ian McCrea STFC Rutherford Appleton Laboratory Chilton, Oxfordshire, UK On behalf of the EISCAT_3D Project Consortium.
Efficient design of a C-band aperture-coupled stacked microstrip array using Nexxim and Designer Alberto Di Maria German Aerospace Centre (DLR) – Microwaves.
Distributed Adaptive Control and Metrology for Large Radar Apertures Principal Investigator: James Lux, P.E. (337) Dr. Elaine Chapin (334), Samuel Li (337),
1 PROPAGATION ASPECTS FOR SMART ANTENNAS IN WIRELESS SYSTEMS JACK H. WINTERS AT&T Labs - Research Red Bank, NJ July 17,
SMART ANTENNA under the guidance of Mr. G.V.Kiran Kumar EC
Space Geodesy (1/3) Geodesy provides a foundation for all Earth observations Space geodesy is the use of precise measurements between space objects (e.g.,
DOCUMENT OVERVIEW Title: Fully Polarimetric Airborne SAR and ERS SAR Observations of Snow: Implications For Selection of ENVISAT ASAR Modes Journal: International.
GPS derived TEC Measurements for Plasmaspheric Studies: A Tutorial and Recent Results Mark Moldwin LD Zhang, G. Hajj, I. Harris, T. Mannucci, X. PI.
Remote Radio Sounding Science For JIMO J. L. Green, B. W. Reinisch, P. Song, S. F. Fung, R. F. Benson, W. W. L. Taylor, J. F. Cooper, L. Garcia, D. Gallagher,
Solar System Physics Group Heliospheric physics with LOFAR Andy Breen, Richard Fallows Solar System Physics Group Aberystwyth University Mario Bisi Center.
ARL Applied Research Laboratories The University of Texas at Austin ARL Applied Research Laboratories The University of Texas at Austin Ionospheric Tomography.
Chapter 4 Realtime Widely Distributed Instrumention System.
The EISCAT_3D Science Case: Current Status Ian McCrea STFC RAL.
China National Report , Uppsala, Sweden China National Space Administration.
Ground-based ionospheric networks in Europe Ljiljana R. Cander.
29 August, 2011 Beijing, China Space science missions related to ILWS in China
WP3: Science Planning and User Engagement Anita Aikio Coordinators: UOulu (FI) and STFC (UK) Objectives: Ensure consistency between the Science Case and.
S MART A NTENNA B.GANGADHAR 08QF1A1209. ABSTRACT One of the most rapidly developing areas of communications is “Smart Antenna” systems. This paper deals.
EISCAT-3D Ian McCrea Rutherford Appleton Laboratory, UK On behalf of the EISCAT-3D Design Team.
The GlobGlacier project Espen Volden European Space Agency Earth Observation Science, Applications and Future Technologies Department Frank Paul University.
Distributed Radar Networks Ray Greenwald JHU/APL.
Solar System Physics Group IPS Using EISCAT and MERLIN: Extremely-Long Baseline Observations at Multiple Frequencies R.A.Fallows, A.R.Breen, M.M.Bisi,
29 April 2009 Brian Balm Program Manager Integrating New Capabilities in Operational Space Weather Systems.
Distributed Adaptive Control and Metrology for Large Radar Apertures PI: James Lux Co-Is: Adam Freedman, John Huang, Andy Kissil, Kouji Nishimoto, Farinaz.
Vidya Bharathi Institute of Technology
Simulations of Radio Imaging in the Earth’s Magnetosphere J. L. Green, S. Boardsen, W. W. L. Taylor, S. F. Fung, R. F. Benson, B. Reinisch, and D. L. Gallagher.
Potential of a Low Frequency Array (LOFAR) for Ionospheric and Solar Observations ABSTRACT: The Low Frequency Array (LOFAR) is a proposed large radio telescope.
Topics in Space Weather Earth Atmosphere & Ionosphere
Ionospheric HF radars Pasha Ponomarenko. Outline Conventional radars vs ionospheric radars Collective scatter processes Aspect angle effects HF propagation.
1 SMART ANTENNAS FOR THIRD GENERATION TDMA (EDGE) Jack H. Winters AT&T Labs - Research Red Bank, NJ July 17, 2000.
0 7th ESWW, Bruges, Ionospheric Scintillations Propagation Model Y. Béniguel, J-P Adam IEEA, Courbevoie, France.
Mike Ruohoniemi 2012VT SuperDARN Remote Sensing of the Ionosphere and Earth’s Surface with HF Radar J. Michael Ruohoniemi and Joseph Baker.
SCM x330 Ocean Discovery through Technology Area F GE.
Yin Chen Towards the Big Data Strategies for EISCAT-3D.
Jicamarca Antenna Arrays: Systems and Science Ronald F. Woodman Instituto Geofisico del Peru.
[1] TECHNICAL SEMINAR PRESENTATION SMART ANTENNA Edited by: Priyabrata Nayak, Lecturer, Dept. of CSE SMART ANTENNA.
NATIONAL INSTITUTE FOR SPACE RESEARCH – INPE/MCT SOUTHERN REGIONAL SPACE RESEARCH CENTER – CRS/CCR/INPE – MCT FEDERAL UNIVERSITY OF SANTA MARIA - UFSM.
The impact of wind turbines on fixed radio links Börje Asp, Gunnar Eriksson, Peter Holm Information and Aeronautical Systems FOI, Swedish Defence Research.
EISCAT-3D Lassi Roininen Sodankyla Geophysical Observatory.
Solar and heliosheric WG
Atmosphere-Ionosphere Wave Coupling as Revealed in Swarm Plasma Densities and Drifts Jeffrey M. Forbes Department of Aerospace Engineering Sciences, University.
The ionosphere is much more structured and variable than ever predicted. Solar Driven Model Since 2000, we have seen more, very clear evidence that the.
Ionosphere, Magnetosphere and Thermosphere Anthea Coster
SWWT Initiatives - Long term monitoring of Sun-Earth Interactions
Presentation transcript:

Space Weather Studies with EISCAT_3D: Developing the Science Case Ian McCrea on behalf of the EISCAT_3D Project Team

Five key capabilities: Volumetric imaging ( enabled by digital beam forming ) Aperture Synthesis imaging => sub-beamwidth structures Multistatic configuration => 3D vector velocities Greatly improved sensitivity (e.g antenna elements in transmitter, in receivers) Transmitter flexibility (e.g. coding, beam-forming) These abilities have never before been combined in a single radar! EISCAT_3D Key Capabilities

EISCAT_3D Design Principles Distributed phased array with multiple sites At least one active site Multiple receive sites, with optimised geometry Support for co-located instruments Highly flexible transmitter High VHF frequencies (e.g. 233 MHz) Narrow bandwidth on transmit Wider bandwidth on receive Possibly different arrays for Tx and Rx Rx array distributed for imaging Low-elevation capability Capable of continuous operations Unattended operations at remote sites Possibility to adapt experiments in real-time Significant data processing at central site

Location of EISCAT_3D EISCAT_3D will be located within the auroral oval and on the equatorward edge of the polar vortex: key regions for global atmosphere-ionosphere system! Statistical auroral oval (depends on UT and Kp index). Schematic figure of winter polar vortex (courtesy of M. Clilverd).

69.4 N 30.0 E N E 68.2 N 14.3 E One possible site orientation Final site selection still undecided Site surveys in progress

EISCAT_3D Transmitters Centre frequency MHz Peak output power > 2 MW -1 dB power bandwidth > 5 MHz Pulse length 0.5 to 2000 us Pulse repetition frequency 0 to 3000 Hz Arbitrary waveform generation Must be rugged and mass-producible at low cost

EISCAT_3D Antennas The “Renkwitz Yagi” Centre frequency 235 MHz Bandwidth 12 MHz (>20 dB) Opening angle 40 o (core array), 30 o (receiver arrays) Arbitrary polarisation Good sidelobe supression 7dB gain over 10% relative bandwidth Need to be mechanically robust (e.g. due to snow loading) Bandwidth should not be affected by icing Mutual coupling needs to be acceptable

LOFAR HBA Test Array at Kilpisjärvi HBA Array – summer 2011 LBA Array – summer 2012

EISCAT_3D Signal Processing Design study did not specify a chosen system due to speed of evolution in DSP technology Preparatory phase will evaluate the use of multi-channel samplers and high performance computing for DSP and beam-forming EISCAT_3D technology can be prototyped on a range of different systems, e.g. the MST radar at Sodankyla.

EISCAT_3D Work Packages WP1: Management and reporting WP2: Legal and logistical issues WP3: Science planning and user engagement WP4: Outreach activities WP5: Consortium building WP6: Performance specification WP7: Signal processing WP8: Antenna, front end and timing WP9: Transmitter development WP10: Aperture synthesis imaging WP11: Software theory & implementation WP12: System control WP13: Data handling & distribution WP14: Mass-production & reliability

Science Working Group (SWG) Typically 2+5 members Membership rotated on a yearly basis Works to keep the Science Case up-to-date and bring new ideas from the existing and new EISCAT user groups. Helps to compile a list of contact persons/groups for potential new EISCAT_3D user communities WP3: Science Planning and User Engagement Science Working Group after a day’s work with the EISCAT_3D Science Case

The Science Case Document: A. Atmospheric physics and global change B. Space and plasma physics C. Solar system research D. Space weather and service applications E. Radar techniques, coding and analysis Appendix A: Table of EISCAT_3D radar performance requirements by science topics

EISCAT_3D Science Case, 1 st version

High-Latitude Electron Density: Large-Scale Structure Targets: – TEC structure and variability (for GPS) – Density peak and profile variations (for communications) Wide view field for position of oval, trough etc. Quasi-simultaneous imaging gives real-time maps Continuous operation for effects of geomagnetic disturbance on density Independent TEC information from multi- path Faraday rotation Image Credit: Lucilla Alfonsi, INGV

High-Latitude Electron Density: Small-Scale Structure Targets: – Small scale irregularities (scintillation) – Flow/gradient regions (irregularity generation) Large-scale imaging allows potential scintillation regions to be identified Aperture synthesis imaging allows investigation of small structures Continuous operation allows monitoring capability and climatology determination Obvious synergy with satellite measurements and models Phase scintillation signatures on disturbed and active days Image Credit: Lucilla Alfonsi, INGV

Targets: o Real-time E-fields o Conductivity, current and heating rate maps o Relationship to irregularity and structure Continuous monitoring provides possibility to separate solar wind, auroral, diurnal effects Long-period data provide climaotology of electrodynamic effects Interaction between monitoring and modelling can improve understanding of hazards e.g. GICs in northern Europe. Electrodynamics Image Credit: Lucilla Alfonsi, INGV

Observation Simulation Targets: o Comparison/validation for models o Data input/assimilation techniques o Semi-empirical models from data Broad coverage and long-period data provide a huge resources for modelling community Lots of interesting science from data/model comparisons in IPY Need more engagement with the modelling community on critical parameters to measure; timing and frequency of observations Modellling Image Credit: Frederic Pitout, Toulouse

Targets: o Short-term thermospheric change during disturbances o Identification of long-term trends (thermosphere contraction) Long-term data allows monitoring role Continuous operations ensure effects of short-term disturbances are measured. Complement to international modelling community Combination of ion velocity and airglow measurements gives neutral density measurements via momentum equation. Satellite tracking and ranging capabilities provide additional thermosphere moniitoring capabilities. Thermosphere

Space Debris Space debris is integral part of EISCAT data (otherwise thrown away) ESA buys EISCAT time for space debris studies Regular monitoring allows identification of “space debris” events (e.g. Cosmos/Iridium) Potential for individual object tracking/ranging using adaptive beams Observation compares and drives modelling (e.g. debris cloud evolution) Obvious synergy with thermosphere measurements Image Credit: Juha Vierinen, SGO

Solar wind monitoring via scintillation of radio stars Multi-site observations yield solar wind velocity Single site observations give irregularity content and variability Solar wind acceleration processes Identification of fast/slow streams Irregularity content of solar wind Solar wind tomography and CMEs Solar wind magnetic structure (?) Solar Wind Studies Image Credits: Steve Crothers (STFC-RAL) and Mario Bisi (Aberystwyth)

EISCAT_3D has clear potential as a space weather instrument Capabilities go beyond anything available to the radar community Realising this potential needs: Well thought-out plan of operations Well thought-out plan of operations Good connection to other instrument programs Good connection to other instrument programs Better connection to/support for models Better connection to/support for models To do this, we need to involve space weather community at a higher level within EISCAT Conclusions

Get involved! In the new EISCAT Scientific Association, new members (at different commitment levels) are welcomed! Welcome also to the 4 th EISCAT_3D User meeting in Uppsala 23–25 May 2012! 1 st day will be dedicated to Space Weather issues. Science case document: