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The EISCAT_3D Science Case: Current Status. Ian McCrea STFC RAL. Preparatory Phase WP3: Science Case Work Package. Engaging with potential new users Holding targeted workshops Gathering requirements for new science Revising/developing the science case
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The EISCAT_3D Science Case:Current Status Ian McCrea STFC RAL
Preparatory Phase WP3: Science Case Work Package • Engaging with potential new users • Holding targeted workshops • Gathering requirements for new science • Revising/developing the science case • Feeding science demands back to radar design • Issuing periodic versions of science case, consistent with the PSD
The Science Working Group • Convenors: Anita Aikio, Ian McCrea • 5-10 members at any time • Mix of existing and new EISCAT users • Membership rotates annually • Cover a wide range of science topics • Atmospheric science, space weather, modelling... • Two meetings with each committee, email exchanges in between
Timetable of Activities • Current WG members: Mark Clilverd, Markus Rapp, Yasonobu Ogawa, KjellmarOksavik, AstaPellinen-Wannberg. • First Meeting: FMI Helsinki 14/1/2011 (also KirstiKauristie and PekkaVerronen) • Second Meeting: Uppsala 17/5/2011 (also Stephan Buchert and Thomas Leyser) • First version of the science case due in Month 9 (July) • Next roll of WG: Space Weather and Modelling • Annual reports each year • Final version of case in month 48
Key Capabilities • The most sophisticated research radar ever! • Five key capabilities: • Volumetric imaging and tracking • Aperture Synthesis imaging • Multistatic, multi-beam configuration • Greatly improved sensitivity • Transmitter flexibility • These abilities never before combined in a single radar
Volumetric Imaging • Image a broad three-dimensional field-of-view • Quasi-simultaneous horizontal structure (as well as vertical) • Rapid scanning or post beam-forming
Aperture Synthesis Imaging • Imaging concept already developed by UiT on the ESR system • Extended to a modular array for EISCAT_3D type array and demonstrated at Jicamarca
Multi-static, Multi-beam... ”Adjusted Double Mercedes” • N-S drift in E-region • E-W drift in F-region
Improved Flexibility and Sensitivity • Large, fully digital aperture • Very flexible transmitter • State-of-the-art digital processing
Flexible Experiments • Continuous, unattended operations • Multiple, interleaved experiments • Intelligent scheduling • www.eiscat3d.se/drupal/content/vision-eiscat3d
Structure of the Science Case • Executive Summary • Introduction to EISCAT_3D • The Science Case: • Atmospheric physics and global change • Space and plasma physics • Solar system science • Space weather and service applications • Radar techniques, coding and analysis
Atmospheric Section • Background • Dynamical coupling in the atmosphere • Solar-terrestrial effects on atmospheric chemistry • Dynamical and chemical coupling in the mesosphere • Atmospheric turbulence in the stratosphere and troposphere • Short and long-term change in the upper atmosphere
Space Weather and Service Applications:Topics Covered • Space debris monitoring • Effects of thermospheric density changes • Ionospheric monitoring for communications, GPS TEC, scintillations • Data assimilation for improvements in modelling • Support for geospace science missions (e.g. SWARM)
Space Weather and Service Applications:Key Issues • Validation of space debris models • Data assimilation into propagation and TEC models • Potential for improvements in forecast capabilities • Real-time predictions and status reports, community needs? • Using flexible observation philosophy forspace weather products
Radar techniques, coding and analysis:Topics covered • Multi-purpose codes • Optimise duty cycle, number of beams • Aperiodic codes • Arbitrary phase transmission • Amplitude control • Lag profile inversion • Optimise DSP and computing
Radar techniques, coding and analysis:Planned Activities • “Handbook” to develop full theory of measurement principles for phased arrays • Use of LOFAR as an open technology platform • Development of intelligent scheduling, decision-making • Data handling techniques for very large data sets • Contribute to e-infrastructure development for the space weather community