Thermospheric Heating Modes and their Effects on Satellites

Lead Research Organisation: British Antarctic Survey
Department Name: Science Programmes

Abstract

The thermosphere is the uppermost layer of our atmosphere at the edge of space (85 to 1000 km altitude). Within this region orbit thousands of satellites worth billions of pounds that provide essential modern services including satnav, satcomms, and remote sensing. There are also many thousands more orbiting pieces of man-made space debris which present a significant risk to operational satellites because of the chance of collision.

We have now passed a tipping point where the increase in debris from collisions exceeds losses, leading to a net growth of the space debris population and thus ever-increasing risk of collisions.

Short- and long-term predictions of satellite and debris trajectories are vital to avoid the destruction of satellites in low-Earth orbit. A major factor limiting factor is knowing the density of the thermosphere, which can vary by up to 800% during extreme times. The variability is due to effects in near-Earth space from disturbances on the Sun, collectively called space weather.

In the polar regions, where there is the greatest concentration of satellites, the largest uncertainties in thermospheric density arise from "Joule" heating. This is caused by collisions between electrically-charged and neutral particles in the thermosphere, driven by space weather. Crucially, we have yet to properly understand when and where Joule heating will occur and how predictable it is. Accurate models and prediction of Joule heating are vital to safeguard the space assets on which modern society depends.

In this project we will develop a better understanding of Joule heating by analysing more than a decade of data from two major international polar instrument networks. We will use a statistical method developed in meteorology called Empirical Orthogonal Function (EOF) analysis, which is capable of uncovering the underlying patterns in a large, noisy data set.

In this way we will both resolve the Joule heating in unprecedented detail and separate it into patterns which depend to greater or lesser degrees on the solar sources of space weather. Since these sources can be observed before they cause space weather at Earth, this will allow us to quantify the limits of predictability of the Joule heating. By then assessing the relationship between the Joule heating and satellite trajectories, this will allow us to describe which orbital paths are most at risk from space weather.

Planned Impact

Who:
The realisation of this study will contribute the socio-economic benefits of an improved understanding of satellite drag and its relationship to space weather events. The commercial sector is increasingly reliant on a vast and expanding network of satellites in many different orbits, and hence, is commensurately reliant on the accuracy of hazard-mitigation strategies aimed at protecting this space infrastructure. The growing importance of space weather hazards is reflected in their inclusion in the Cabinet Office's National Risk Register of Civil Emergencies (2015). Space weather will remain a matter of long-term importance as the UK's economical growth becomes increasingly technology-led. Near-Earth space is a shared resource, recognised by the United Nations Committee on the Peaceful Uses of Outer Space (UN COPUOS). Moreover, orbits safe from space debris are a depletable resource. Our results will therefore impact the decision-making processes of policy writers and insurance-risk assessors with regards to the continued development of low-Earth orbits.

Since the 2013 solar maximum and the associated increase in auroral displays at UK latitudes from geomagnetic storms, there is presently high public interest in the dynamic nature of the Earth's near space environment. We will capitalise on this interest to distribute the benefits of our new insights to the wider public.

How:
The hazards to satellites from space debris will increase in the upcoming solar minimum, where the average thermospheric density will decrease by an order of magnitude, reducing the natural tendency for space debris to de-orbit due to atmospheric drag. At the same time, the likelihood of an extreme space weather event is not decreased, and these events will have a proportionally greater impact on satellite and debris orbital deflection than the same event would at solar maximum. Our research will contribute to a better predictive capacity of the Joule heating given the input from space weather events, and will establish the extent to which the associated atmospheric drag can be forecast. These findings will be of great importance to the effectiveness of hazard mitigation strategies in near-Earth space. Our results will have further impact in the determination of space infrastructure insurance risk from scenarios such as space debris- or inter-satellite collisions, since we will be able to establish which particular orbital paths are most at risk from space weather-related fluctuations in satellite drag.

The public sector will benefit from the planned outreach efforts to improve general awareness of the dynamic nature of the near-Earth space environment. The budgeted production of outreach materials, and the planned outreach activities will each be instrumental in forming an active dialogue with public beneficiaries and communicating the importance of our science. The British Antarctic Survey has a high media profile and we are well-placed to provide outreach activities with the assistance of its Communications team.

In a wider sense, our research will help the UK to capitalise on its ESA investment in Earth observation, through the development and supply of data products which will aid both the research of the scientific community and the functioning of the UK economy.

Publications

10 25 50
 
Description The thermosphere is the region of the atmosphere from about 85 to 1000 km altitude. Thousands of satellites worth billions of dollars orbit here, providing essential modern services including satnav and communications. There are also many thousands more orbiting pieces of man-made space debris which each present a significant destruction risk to satellites through high-velocity collisions.

The primary achievement of this award was developing a new method for creating space weather maps of the motion of the ionised part of the thermosphere, known as the ionosphere, to help improve future forecasts of satellite and debris motion so that collisions can be avoided. Like ordinary weather maps on TV, our maps show the speed and direction of winds, but of ionised gas called plasma. The plasma winds are blown by an ionospheric electric field that also produces electrical currents that heat the atmosphere. This changes the orbits of satellites and space debris. This effect is currently the biggest source of uncertainty in knowing where satellites and debris are, to avoid the risk of collision.

The main outcomes of the award are:
1. We successfully developed a new method to produce maps of ionospheric plasma motion. Our new method uses sparse measurements made by the international Super Dual Auroral Radar Network (SuperDARN). By some clever maths, the Empirical Orthogonal Function (EOF) method fills in gaps in the SuperDARN data to discover the reconstructed plasma motion, without requiring any additional data sources.

2. We have proved that our new SuperDARN EOF method is more accurate than the leading alternative technique in most cases.

3. Using the SuperDARN EOF method, we created weather maps of the entire ionospheric wind field poleward of 60 degrees latitude for every five minutes from 1997 to 2008. The maps are already in use in a new collaboration with the University of Birmingham, to develop a forecasting model of satellite drag for use by the Met Office - see Narrative Impact section.

4. We used the SuperDARN EOF method to investigate what causes the ionospheric winds to change and how this could be predicted. We discovered that the dawn-dusk direction of the interplanetary magnetic field from the Sun was more important to forecasting than previously thought.

5. We performed two extensive analyses of surface geomagnetic field variations measured by the SuperMAG ground magnetometer network. This addressed a secondary goal of the award - combining SuperDARN and SuperMAG data to estimate thermosphere heating and drag (see next section).
a. Firstly, we investigated how the Sun causes the geomagnetic field components to vary, and how far in advance this could be predicted.
b. Secondly, we developed the new Spatial Information from Distributed Exogenous Regression (SPIDER) technique to forecast geomagnetic field variations from satellite measurements of the solar influence. The SPIDER technique now forms the basis of a project led by the British Geological Survey and the Met Office, to develop a 1-hour forecasting model of space weather hazards to the National Grid - see Narrative Impact section.
Exploitation Route The outcomes of this research are already being taken forward to develop two new space weather forecasting services for the Met Office to improve space safety and protect the National Grid. See Narrative Impact section for more details.
Sectors Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Energy

 
Description The results from this current award are being taken forward in a new SWIMMR-Thermosphere (NE/V002732/1) award as part of the £20 million, four-year NERC-STFC strategic programme called SWIMMR (Space Weather Instrumentation, Measurement, Modelling and Risk) to improve the UK's capabilities for space weather monitoring and prediction. In collaboration with the Universities of Birmingham and Lancaster, the new SWIMMR-T grant will use the outcomes of this current award to develop a novel model to forecast atmospheric drag on satellites for evaluation and use by the Met Office as a service to satellite operators to protect UK space assets from the risk of satellite collisions with space debris.
First Year Of Impact 2022
Sector Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Transport
Impact Types Policy & public services

 
Title Spatial Information from Distributed Exogenous Regression (SPIDER) 
Description The 'Spatial Information from Distributed Exogenous Regression (SPIDER) technique is a method of cross-correlating two datasets (one being measurements of a driver, the other being measurements of the response to that driver), at a range of temporal lags. The peak in the correlation for a given lag at a given locality defines the reconfiguration timescale for variations in the driver to result in variations in the response, at that point. By repeating this technique for all locations, a synoptic map of the response function for a given driver (and its timescales of effect) can be obtained. By performing this with different drivers in succession, we can investigate the underlying physics of the whole system connecting the driver and the response. 
Type Of Material Improvements to research infrastructure 
Year Produced 2019 
Provided To Others? Yes  
Impact The SPIDER technique has had the following impacts: -- Robert Shore was awarded the 2018 Rishbeth Prize at the biennial Spring meeting of the UK's Magnetosphere, Ionosphere and Solar-Terrestrial (MIST) community. The prize recognises the most novel, clearly presented, and influential science. -- Three peer-reviewed publications (https://doi.org/10.1093/astrogeo/aty273, https://doi.org/10.1029/2019JA026543, https://doi.org/10.1029/2018GL081658). -- An ongoing collaboration between Robert Shore, John Coxon and Joseph Eggington, with a related study in preparation. -- Several invitations of Robert Shore to UK university seminar series. -- The use of the SPIDER technique in two ongoing NERC-funded grants: SWIMMR-SAGE (NE/V002716/1) and SWIMMR-T (NE/V002732/1), in order to produce operational forecast models of space weather impacts on the UK, for the Met Office. 
URL https://doi.org/10.1029/2019JA026543
 
Title Dominant spatial and temporal patterns of horizontal ionospheric plasma velocity variation covering the northern polar region, for the month of February 2001 
Description We present a reanalysis of SuperDARN plasma velocity measurements, using the method of data-interpolating Empirical Orthogonal Functions (EOFs). The northern polar region's radar-measured line of sight Doppler velocities are binned in an equal-area grid (areas of approximately 110,000km2) in quasi-dipole latitude and quasi-dipole magnetic local time (MLT). Within this spatial grid, which extends to 30 degrees colatitude, the plasma velocity is given in terms of cardinal north and east vector components (in the quasi-dipole coordinate frame), with the median of every SuperDARN measurement in the spatial bin taken every 5 minutes. These sparse binned data are infilled to provide a measurement at every spatial and temporal location via EOF analysis, ultimately comprising a reanalysis spanning the month of February 2001. This resource provides a convenient method of using SuperDARN data without its usual extreme sparseness, for studies of ionospheric electrodynamics. The reanalysis is provided in sets of orthogonal modes of variability (spatial and temporal patterns), along with the timestamps of each epoch, and the spatial coordinate information of all bin locations. We also provide the temporal mean of the data in each spatial bin, which is removed prior to the EOF analysis. Funding was provided by NERC standard grants NE/N01099X/1 (THeMES) and NE/V002732/1 (SWIMMR-T). 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01473
 
Title Dominant spatial and temporal patterns of horizontal ionospheric plasma velocity variation covering the northern polar region, for the period 1997.0 to 2009.0 
Description We present a reanalysis of SuperDARN plasma velocity measurements, using the method of data-interpolating Empirical Orthogonal Functions (EOFs). The northern polar region's radar-measured line of sight Doppler velocities are binned in an equal-area grid (areas of approximately 110,000km2) in quasi-dipole latitude and quasi-dipole magnetic local time (MLT). Within this spatial grid, which extends to 30 degrees colatitude, the plasma velocity is given in terms of cardinal north and east vector components (in the quasi-dipole coordinate frame), with the median of every SuperDARN measurement in the spatial bin taken every 5 minutes. These sparse binned data are infilled to provide a measurement at every spatial and temporal location via EOF analysis, ultimately comprising a series of monthly reanalyses, from 1997.0 to 2009.0. This resource provides a convenient method of using SuperDARN data without its usual extreme sparseness, for studies of ionospheric electrodynamics during solar cycle 23. The reanalyses are provided in monthly sets of orthogonal modes of variability (spatial and temporal patterns), along with the timestamps of each epoch, and the spatial coordinate information of all bin locations. We also provide the temporal mean of the data in each spatial bin, which is removed prior to the EOF analysis. Funding was provided by the NERC grant NE/N01099X/1. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01159
 
Title Dominant spatial and temporal patterns of horizontal ionospheric plasma velocity variation covering the northern polar region, from 1997.0 to 2009.0 - VERSION 2.0 
Description We present a concurrent series of 144 monthly reanalyses of Super Dual Auroral Radar Network (SuperDARN) plasma velocity measurements, using the method of data-interpolating Empirical Orthogonal Functions (EOFs). For each monthly reanalysis, the 5-minute median values of the northern polar region's radar-measured line-of-sight Doppler plasma velocities are binned in an equal-area grid defined in quasi-dipole latitude and quasi-dipole magnetic local time (MLT). The grid cells each have an area of approximately 110,000km2, and the grid extends to 30 degrees colatitude. Within this spatial grid, the sparse binned data are infilled to provide a measurement at every spatial and temporal location via two different EOF analysis models: one tailored to instances of low data coverage, the other tailored to higher data coverage. These two models each comprise 144 monthly sets of orthogonal modes of variability (spatial and temporal patterns), along with the timestamps of each epoch, and the spatial coordinate information of all bin locations. A companion dataset determines which of the two models should be chosen in each location for each month, in order to ensure the best accuracy of the infill solution. We also provide the temporal mean of the data in each spatial bin, which is removed prior to the EOF analysis. Collectively, the reanalysis delivers the SuperDARN data in terms of cardinal north and east vector components (in the quasi-dipole coordinate frame), without its usual extreme sparseness, for studies of ionospheric electrodynamics for the period 1997.0 to 2009.0. Funding was provided by NERC Standard grant NE/N01099X/1, titled 'Thermospheric Heating Modes and Effects on Satellites' (THeMES) and the NERC grant NE/V002732/1, titled 'Space Weather Instrumentation, Measurement, Modelling, and Risk: Thermosphere' (SWIMMR-T). 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Not applicable 
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01630
 
Title Forecast regression model of the northern Super Dual Auroral Radar Network (SuperDARN) high-latitude ionospheric plasma motion built from data interval 1997-2008 inclusive 
Description A forecast model of the northern high-latitude ionospheric plasma motion as observed by the SuperDARN radars. The model comprises a set of regression coefficients. The user needs to specify the day-of-year and the monthly mean of the solar radio flux at 10.7 cm/2800 MHz, often called the f10.7 index. They also need to provide the value of the interplanetary magnetic field (IMF) component By and the Sun-Earth component of the solar wind velocity Vx, both in geocentric solar magnetospheric (GSM) coordinates. The regression coefficients are provided as two files, one can be used to model the north-south (NS) component of the plasma motion and the other to model the east-west (EW) component of the motion. Funding was provided by NERC standard grant numbers: NE/V002732/1, NE/N01099X/1, NE/V00283X/1, NE/V002686/1 and NE/T000937/1. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01706
 
Description EGU 2018 session 
Organisation Finnish Meteorological Institute
Country Finland 
Sector Public 
PI Contribution Robert Shore proposed, developed, led, and chaired the session 'Magnetosphere-Ionosphere Coupling: New Phenomenological Insights From Data & Theory' at the 2018 European Geoscience Union (EGU) 2018 conference.
Collaborator Contribution The collaborators assisted in developing the conference session.
Impact The session 'Magnetosphere-Ionosphere Coupling: New Phenomenological Insights From Data & Theory' at the 2018 European Geoscience Union (EGU) 2018 conference.
Start Year 2017
 
Description EGU 2018 session 
Organisation High Altitude Observatory (HAO)
Country United States 
Sector Academic/University 
PI Contribution Robert Shore proposed, developed, led, and chaired the session 'Magnetosphere-Ionosphere Coupling: New Phenomenological Insights From Data & Theory' at the 2018 European Geoscience Union (EGU) 2018 conference.
Collaborator Contribution The collaborators assisted in developing the conference session.
Impact The session 'Magnetosphere-Ionosphere Coupling: New Phenomenological Insights From Data & Theory' at the 2018 European Geoscience Union (EGU) 2018 conference.
Start Year 2017
 
Description RAS meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating' 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Robert Shore conceptualised, initiated, developed, led and chaired this workshop, targeted at disseminating and discussing novel data analysis techniques to solve the intrinsically interdisciplinary problem of Joule heating resolution -- a key focus of the THeMES grant.
Collaborator Contribution The partners from the collaborating institutes assisted in developing and running the workshop.
Impact -- The Royal Astronomical Society Specialist Discussion Meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating'. -- The Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2017
 
Description RAS meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating' 
Organisation University of Southampton
Country United Kingdom 
Sector Academic/University 
PI Contribution Robert Shore conceptualised, initiated, developed, led and chaired this workshop, targeted at disseminating and discussing novel data analysis techniques to solve the intrinsically interdisciplinary problem of Joule heating resolution -- a key focus of the THeMES grant.
Collaborator Contribution The partners from the collaborating institutes assisted in developing and running the workshop.
Impact -- The Royal Astronomical Society Specialist Discussion Meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating'. -- The Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2017
 
Description RAS meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating' 
Organisation University of Warwick
Country United Kingdom 
Sector Academic/University 
PI Contribution Robert Shore conceptualised, initiated, developed, led and chaired this workshop, targeted at disseminating and discussing novel data analysis techniques to solve the intrinsically interdisciplinary problem of Joule heating resolution -- a key focus of the THeMES grant.
Collaborator Contribution The partners from the collaborating institutes assisted in developing and running the workshop.
Impact -- The Royal Astronomical Society Specialist Discussion Meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating'. -- The Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2017
 
Description RAS meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling' 
Organisation Northumbria University
Country United Kingdom 
Sector Academic/University 
PI Contribution Robert Shore developed this workshop, targeted at disseminating and discussing novel data analysis techniques to solve the intrinsically interdisciplinary problem of solar wind-magnetosphere-ionosphere-thermosphere coupling -- a key concept underlying the THeMES grant..
Collaborator Contribution The partners from the collaborating institutes assisted in proposing, developing and running the workshop.
Impact -- The Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2017
 
Description RAS meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling' 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Robert Shore developed this workshop, targeted at disseminating and discussing novel data analysis techniques to solve the intrinsically interdisciplinary problem of solar wind-magnetosphere-ionosphere-thermosphere coupling -- a key concept underlying the THeMES grant..
Collaborator Contribution The partners from the collaborating institutes assisted in proposing, developing and running the workshop.
Impact -- The Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2017
 
Description RAS meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling' 
Organisation University of Southampton
Country United Kingdom 
Sector Academic/University 
PI Contribution Robert Shore developed this workshop, targeted at disseminating and discussing novel data analysis techniques to solve the intrinsically interdisciplinary problem of solar wind-magnetosphere-ionosphere-thermosphere coupling -- a key concept underlying the THeMES grant..
Collaborator Contribution The partners from the collaborating institutes assisted in proposing, developing and running the workshop.
Impact -- The Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2017
 
Description SPIDER collaboration with Coxon et al. 
Organisation University of Southampton
Country United Kingdom 
Sector Academic/University 
PI Contribution Transfer of expertise and techniques for analysing the near-Earth space physics and their relationship to the Sun-Earth connection. Specifically, the 'Spatial Information from Distributed Exogenous Regression' (SPIDER) technique.
Collaborator Contribution Expertise in processing field-aligned current data from the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) data archive, to which the SPIDER technique was applied.
Impact -- Three peer reviewed papers so far: https://doi.org/10.1093/astrogeo/aty273, https://doi.org/10.1029/2019JA026543, https://doi.org/10.1029/2018GL081658. -- The Royal Astronomical Society Specialist Discussion meeting 'System-scale observations and modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'.
Start Year 2018
 
Description SWIMMR-T modelling groundwork 
Organisation Lancaster University
Country United Kingdom 
Sector Academic/University 
PI Contribution The British Antarctic Survey's model of the ionospheric plasma velocity, developed during the THeMES grant, was a key factor to the initiation of the SWIMMR-T grant, with the aforementioned collaborators.
Collaborator Contribution Via the SWIMMR-T grant, the collaborators are assisting in the development of an operational forecast model of the ionospheric electric field, developed based on the BAS EOF model of ionospheric plasma velocities which was created in the THeMES grant.
Impact Grant number NE/V002732/1.
Start Year 2020
 
Description SWIMMR-T modelling groundwork 
Organisation University of Birmingham
Country United Kingdom 
Sector Academic/University 
PI Contribution The British Antarctic Survey's model of the ionospheric plasma velocity, developed during the THeMES grant, was a key factor to the initiation of the SWIMMR-T grant, with the aforementioned collaborators.
Collaborator Contribution Via the SWIMMR-T grant, the collaborators are assisting in the development of an operational forecast model of the ionospheric electric field, developed based on the BAS EOF model of ionospheric plasma velocities which was created in the THeMES grant.
Impact Grant number NE/V002732/1.
Start Year 2020
 
Description 2018 Royal Astronomical Society Meeting 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating' 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Over 40 international researchers attended a 1-day workshop to disseminate and discuss the interdisciplinary utility of data-driven analytical techniques and the best ways to harness the potential of the available large datasets to study Sun-Earth interaction. The specific focus of the workshop is on the intrinsically interdisciplinary problem of Joule heating resolution, a primary focus of the THeMES grant.
Year(s) Of Engagement Activity 2018
 
Description 2021 Royal Astronomical Society Specialist Discussion Meeting 'System-scale modelling of solar wind-magnetosphere-ionosphere-thermosphere coupling'. 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact This workshop will take place in April 2021, but it was proposed during teh THeMES grant, as a direct follow on to the successful 2018 workshop 'System-Scale Data Analysis to Resolve Thermospheric Joule Heating'. The justification of the workshop is as follows: The impact of external drivers on Earth's magnetosphere is of increasing interest to the scientific community as policy-makers begin to recognise the hazard posed by space weather. A key part of this is understanding the magnetospheric response to these stimuli on the scale of the system by treating it holistically. We aim to reconcile our existing understanding of physics and coupling across all scales. Only by combining processes on different scales can we understand how they give rise to collective behaviour in the coupled magnetosphere-ionosphere-thermosphere system. This meeting will bring members of the community who are working on system-scale science together, with the aim of sharing the state-of-the-art in analysis techniques and physical results coming from system-scale datasets such as AMPERE, SuperDARN and SuperMAG and also system-scale models. A synthesis of data and techniques is necessary for fully developing both our scientific understanding of the Sun's effects on Earth and also our operational capacity to forecast the hazards posed to us by space weather.
Year(s) Of Engagement Activity 2021
 
Description New Scientist Live event, 2016 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Robert Shore created a spherical projection display based on research undertaken during the THeMES grant, which was presented at the New Scientist Live event in 2016 at London's ExCel venue. This was attended by 22,000 people, including school parties. This is one of the UK's premier annual events in the science communication calendar.
Year(s) Of Engagement Activity 2016
URL https://live.newscientist.com/#/