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  • NAM 2022
    • Code of Conduct
    • COVID-19 Policy
    • Registration
    • Grants & Bursaries
    • Contacts
    • Exhibitors
    • News Archive
    • Hybrid Option
    • Conference Brochure
  • Science
    • Block Schedule
    • Parallel Sessions
    • Plenary Talks
    • Community Session
    • Special Lunches
    • Guides to NAM2022
  • Social
    • What's On?
    • Welcome Reception
    • RAS Awards Dinner
    • NAM Football
    • RAS Quilt
    • Kenilworth Castle Trip
  • Media
  • Outreach
    • SUN at NAM
    • SUN Outreach Programme
    • Art Exhibition
      • Virtual Art Exhibition
    • Art submission
    • Science Festival
    • First JWST Images
  • Warwick
    • Travel
    • Accommodation
    • Local Area
    • Campus
    • Childcare

 All attendees are expected to show respect and courtesy to other attendees and staff, and to adhere to the NAM Code of Conduct.

Parallel sessions

Sessions

id
date time
2022-03-08 11:28:00
Forecasting Space Weather - Physics, Data, and Modelling
SolarSystem4
Space Weather refers to the short-term interaction of different manifestations of solar activity with geospace that occurs through a complex series of events. These interactions can result in hazardous conditions for the functioning of many socio-economically vital infrastructures, both terrestrial (e.g., long-distance oil/gas pipelines, electric power grids, aviation, HF radio) and space-based (e.g., communication satellites, global positioning systems, ISS), leading to reduced or sometimes entirely lost capacity. Therefore, being able to advance and refine our forecasting skill and capability through research into the identification of precursors of Space Weather events at their source (i.e., at the Sun) or event identification in interplanetary space, is indispensable. It is a great task and challenge to understand the physical processes that underpin the domain of Space Weather forecasting. Furthermore, we also have to develop strategies about how to deal with the accompanying volume of data, often from real-time observations, and their processing to effectively display and interpret them. This session aims to cover key aspects of Space Weather and Space Climate-related research topics that are relevant to the Sun-Earth system. We welcome oral and poster presentations on solar, heliospheric, magnetospheric and ionospheric physics. Contributions are welcome on these topics pertaining to research methodologies ranging from observing and modelling (e.g., data, analysis and numerical approaches) to forecasting (e.g., statistical or machine learning/artificial intelligence methods). We also invite presentations on ground- and space-based instrumentation supporting either the research or operational aspects of Space Weather forecasting.
Dr Marianna Korsos, Dr Jiajia Liu, Prof Andrew Hillier, Prof Shaun Bloomfield, Prof Richard Harrison
Thur. 09:00-10:30 / Thur. 14:30-16:00

09.00-09.25 Stephanie Yardley: Identifying the sources and solar precursors of solar energetic particle events [invited]
09.25-09.38 Alexander James: Evolution of the critical torus instability height and CME likelihood in solar active regions
09.38-09.51 Charlotte Waterfall: Properties of >300 MeV SEP events between 1984-2017 and relationship to CME and flare parameters
09.51-10.04 Simone Chierichini: Modelling CME arrival with Machine Learning
09.04-10.17 Liam Tomos Edwards: A Solar-cycle Study of Coronal Rotation: Large Variations, Rapid Changes, and Implications for Solar-wind Models
10.17-10.30 Kaine Bunting: An Inner Boundary Condition For Solar Wind Models Based On Coronal Density

14.30-14.55 Mathew Owens: Space weather across the time scales: Minutes to millennia [invited]
14.55-15.08 Joseph Eggington: Towards Operational Magnetospheric Forecasting using the Gorgon MHD Code: Model Coupling and Development
15.08-15.21 Colin Forsyth: Evaluating Auroral Forecasts Against Satellite Observations
15.21-15.34 Jonathan Eastwood: First results from the MAGIC magnetometer on the RadCube CubeSat
15.34-15.47 Aisling Bergin: Return level estimation for serially dependent geomagnetic extremes.
15.47-16.00 Anasuya Aruliah: Predicting equatorial plasma bubbles with a random forest classifier
Social Sciences S0.19
Social Sciences S0.19
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