Time-variability of the ionospheric electric field: solar wind driving and atmospheric feedback

Lead Research Organisation: Lancaster University
Department Name: Physics

Abstract

The Earth's atmosphere is a complex system consisting of many layers that interact in controlling its global dynamics. The ionosphere plays a key role in these dynamics, coupling the magnetic environment of geospace - 'the magnetosphere' - above to the neutral environment below. Variability in the coupling of electromagnetic fields and particles between Earth's atmosphere and space are responsible for the phenomenon of 'space weather'. This is recognised by current NERC strategy as an environmental hazard with serious global impacts, but limitations in our understanding of its effects on the atmosphere constrain our prediction capability. Ionospheric electric fields, in particular, play an important role in governing atmospheric dynamics, primarily in the thermosphere below 150 km. This is demonstrated by the UK Met Office seeking to include the thermosphere in their weather and climate model, raising the upper boundary of its Unified Model (MetUM) from 85 km to the region of 120-140 km. In order to achieve this, improved ionospheric electric field models are essential, since existing models characterise only average conditions and have no 'memory' of the prior history of variability. Capturing this variability is critical if realistic predictions of atmospheric dynamics are to be made at these altitudes. We will therefore develop the next generation model of global ionospheric electric fields that will include, for the first time, the inherent time-dependence of their morphology and driving mechanisms. Specifically, we include variability associated with three distinct sources: (i) solar wind driving (ii) dynamical processes in geospace and (iii) atmospheric feedback. Our model will be designed in collaboration with the UK Met Office, for use in their climate and space weather modelling applications such as MetUM.

To achieve our goals we will utilise multi-decadal datasets of electric and magnetic field measurements from ionospheric radars and ground magnetometers, and neutral wind measurements by Fabry-Perot interferometers, to study the electrodynamics of the ionosphere, and its coupling to the neutral atmosphere. We will use upstream interplanetary spacecraft data to order our observations not only by the concurrent conditions in geospace, but by the time history of these conditions; persistent plasma and magnetic field structures, and the degree of variability. We will also use geomagnetic measurements to investigate the effects of time-variable internal magnetospheric processes. These include magnetospheric substorms, which excite convection in the ionosphere, inject energetic particles into the atmosphere, and produce the visible aurora, or northern (and southern) lights. Lastly, we will use simultaneous measurements of the electric field and neutral wind to investigate the 'flywheel' effect of the neutral wind dynamo; the ability of neutral winds to maintain the ionospheric electric field after their direct excitation subsides. Incorporating all of these time-variable effects into a new empirical model of the ionospheric electric field will provide a valuable resource for magnetospheric physics, atmospheric modellers, and space plasma physics theorists.

Planned Impact

Besides the aforementioned academic beneficiaries, the work conducted during this project will impact a number of additional 'end users'. Here, we summarise the three main user groups and the significance of the proposed science.

(1) Climate and weather prediction agencies, such as the U.K. Meteorological Office and European Centre for Medium Range Weather Forecasting, have recognised the importance of raising the upper altitude of weather and climate forecasting models to improve prediction accuracy. As a result, the electrodynamics of the thermosphere need to be better understood. The development of a bespoke electric field model, that can be used for parameterisation of atmospheric models and climate prediction algorithms, will result in the largest impact outside of academia. Understanding the time-variability of ionospheric electric fields, that is crucial to modelling atmospheric effects such as ion drag and Joule heating, will have a major impact, as will WP 3, focussing on the ionosphere-atmosphere coupling.

(2) Agencies such as the Ministry of Defence, commercial airlines, and electricity supply companies will benefit from a better understanding of the geospace environment. In the inner magnetosphere - the region of near-Earth geospace containing the hazardous radiation belts - energetic particles can threaten human activities on Earth and in space. The enhanced ionospheric electric fields that are produced at mid-latitudes, that we will study in WP 2, will be a critical diagnostic of this important region of geospace. In particular, when high solar activity causes an increase in the level of geomagnetic activity, astronauts and commercial spacecraft can be endangered and power systems on the Earth can be damaged by induced electrical current surges. Our studies of geomagnetic storms in WP 1 will provide valuable new insights into the physics of these highly energetic phenomena.

(3) Schools, amateur associations and the general public have an established interest in space research evidenced by television programmes such as the BBC's Stargazing Live, that have focussed on near-Earth space and space weather, increasing readership of websites such as AuroraWatchUK, and engagement with university knowledge exchange programmes. Space weather science is central to this project and many aspects of our work will be used to continue our established public engagement activities and outreach projects.

Publications

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Billett D (2019) Spatially Resolved Neutral Wind Response Times During High Geomagnetic Activity Above Svalbard in Journal of Geophysical Research: Space Physics

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Billett D (2020) Multi-Instrument Observations of Ion-Neutral Coupling in the Dayside Cusp in Geophysical Research Letters

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Billett D (2018) Diurnal Variations in Global Joule Heating Morphology and Magnitude Due To Neutral Winds in Journal of Geophysical Research: Space Physics

 
Description We have demonstrated that current empirical models of the ionospheric electric fields are failing to capture significant variability, and in particular that during geomagnetically active episodes such as storms and substorms, the ionospheric electric field morphologies can differ greatly from those predicted by existing models.

We have demonstrated that existing analysis techniques for studying the effects of geomagnetic storms and substorms on the ionospheric convection using SuperDARN radar data are inadequate, and have developed new techniques to facilitate our research.
Exploitation Route We envisage our findings being used by weather and climate scientists, who need to understand the coupling of the ionosphere to the neutral atmosphere, in which the electric fields play a vital role. We also envisage our findings being useful in aerospace applications; ionospheric electric fields play a role in the modification of ionospheric radio propagation paths, and in atmospheric heating that produces uplift and resultant satellite drag.
Sectors Aerospace, Defence and Marine,Environment

 
Description Our work on developing advanced ionospheric electric field models has fed into the SWIMMR projects to develop new space weather modelling and prediction capability.
First Year Of Impact 2021
Sector Environment
Impact Types Policy & public services

 
Description Predicting the upper atmospheric response to extremes of space weather forcing
Amount £425,516 (GBP)
Funding ID NE/T000937/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 03/2020 
End 02/2024
 
Description Space Weather Instrumentation, Measurement, Modelling and Risk: Thermosphere (SWIMMR-T)
Amount £147,023 (GBP)
Funding ID NE/V00283X/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 06/2020 
End 03/2024
 
Title Geomagnetic storm list and time-normalised SuperDARN convection database 
Description This is a database of ionospheric convection data from geomagnetic storms from between 2010 and 2016. Storms have been identified in the Sym-H ground magnetic index. SuperDARN radar data have been used to derive an empirical model of various ionospheric convection parameters for different storm phases, to describe the morphology of the ionospheric electric field under conditions of modest to strong solar wind driving. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? No  
Impact Development of the geomagnetic storm capability of the TIVIE model (see separate record) has been enabled via the use of this database. 
 
Title Time Variable Ionospheric Electric Field Model (TIVIE) 
Description TIVIE is an empirical model of the high- to mid-latitude ionospheric electric field. It consists of a discrete set of ionospheric electric field maps for various conditions of the interplanetary magnetic field (and its time-history), for geomagnetic storms and substorms. It can also be run interactively, to produce time-series of the electric field based on a variety of input parameters. 
Type Of Material Computer model/algorithm 
Year Produced 2020 
Provided To Others? No  
Impact Too soon to say. 
 
Description Network for the development of an Extended-UM (Unified Model) of atmospheric dynamics 
Organisation Meteorological Office UK
Country United Kingdom 
Sector Academic/University 
PI Contribution My team brings expertise in the analysis of ionospheric electric fields and electric field models, and provides access to electric field data.
Collaborator Contribution The partners bring expertise in whole-atmosphere modelling, and in the use of coupled ionosphere-thermosphere models.
Impact The network is in the early stages of development. It is multidisciplinary, bringing together the necessary chemistry and physics of the atmosphere to develop atmospheric models.
Start Year 2017
 
Description Network for the development of an Extended-UM (Unified Model) of atmospheric dynamics 
Organisation University College London
Department Department of Physics & Astronomy
Country United Kingdom 
Sector Academic/University 
PI Contribution My team brings expertise in the analysis of ionospheric electric fields and electric field models, and provides access to electric field data.
Collaborator Contribution The partners bring expertise in whole-atmosphere modelling, and in the use of coupled ionosphere-thermosphere models.
Impact The network is in the early stages of development. It is multidisciplinary, bringing together the necessary chemistry and physics of the atmosphere to develop atmospheric models.
Start Year 2017
 
Description Network for the development of an Extended-UM (Unified Model) of atmospheric dynamics 
Organisation University of Bath
Country United Kingdom 
Sector Academic/University 
PI Contribution My team brings expertise in the analysis of ionospheric electric fields and electric field models, and provides access to electric field data.
Collaborator Contribution The partners bring expertise in whole-atmosphere modelling, and in the use of coupled ionosphere-thermosphere models.
Impact The network is in the early stages of development. It is multidisciplinary, bringing together the necessary chemistry and physics of the atmosphere to develop atmospheric models.
Start Year 2017
 
Description Network for the development of an Extended-UM (Unified Model) of atmospheric dynamics 
Organisation University of Birmingham
Country United Kingdom 
Sector Academic/University 
PI Contribution My team brings expertise in the analysis of ionospheric electric fields and electric field models, and provides access to electric field data.
Collaborator Contribution The partners bring expertise in whole-atmosphere modelling, and in the use of coupled ionosphere-thermosphere models.
Impact The network is in the early stages of development. It is multidisciplinary, bringing together the necessary chemistry and physics of the atmosphere to develop atmospheric models.
Start Year 2017
 
Description Network for the development of an Extended-UM (Unified Model) of atmospheric dynamics 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution My team brings expertise in the analysis of ionospheric electric fields and electric field models, and provides access to electric field data.
Collaborator Contribution The partners bring expertise in whole-atmosphere modelling, and in the use of coupled ionosphere-thermosphere models.
Impact The network is in the early stages of development. It is multidisciplinary, bringing together the necessary chemistry and physics of the atmosphere to develop atmospheric models.
Start Year 2017
 
Description Network for the development of an Extended-UM (Unified Model) of atmospheric dynamics 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution My team brings expertise in the analysis of ionospheric electric fields and electric field models, and provides access to electric field data.
Collaborator Contribution The partners bring expertise in whole-atmosphere modelling, and in the use of coupled ionosphere-thermosphere models.
Impact The network is in the early stages of development. It is multidisciplinary, bringing together the necessary chemistry and physics of the atmosphere to develop atmospheric models.
Start Year 2017
 
Title SuperDARN Radar Software Toolkit (RST) 4.2 
Description New features in version 4.2 of the Radar Software Toolkit (RST) include: TS18 and TS18-Kp statistical convection model (TS18 replacing CS10 as default) Statistical convection model solver (solve_model) Added pre-1900 coefficients for use with AACGM_v2 Implemented new --version option to print current RST version number Added unrecognized command line option handling to remaining binaries Disabled low-power thresholding when converting between dat and rawacf format files Fixed bug when reading data from early (~1993-1995) dat format files Fixed bug when reading records with negative scan flag values Fixed bugs in gridtogrdmap and maptocnvmap conversion routines Fixed bug in trim_fit to allow removal of first record in file Fixed bug in map_addhmb when specifying custom boundary latitude Fixed bug in make_grid preventing custom start times with -i flag Fixed bugs in AACGM_v2 software Fixed numerous plotting bugs Updated Falkland Islands and Stokkseyri hdw.dat files Updated README and documentation for FITACF 3.0 Updated documentation following the -new/-old flag change from previous release (4.1) Cleanup of numerous warning messages during compilation The RST is actively developed and maintained by the SuperDARN Data Analysis Working Group (https://superdarn.github.io/dawg/). 
Type Of Technology Software 
Year Produced 2018 
Open Source License? Yes  
Impact New features in version 4.2 of the Radar Software Toolkit (RST) include: TS18 and TS18-Kp statistical convection model (TS18 replacing CS10 as default) Statistical convection model solver (solve_model) Added pre-1900 coefficients for use with AACGM_v2 Implemented new --version option to print current RST version number Added unrecognized command line option handling to remaining binaries Disabled low-power thresholding when converting between dat and rawacf format files Fixed bug when reading data from early (~1993-1995) dat format files Fixed bug when reading records with negative scan flag values Fixed bugs in gridtogrdmap and maptocnvmap conversion routines Fixed bug in trim_fit to allow removal of first record in file Fixed bug in map_addhmb when specifying custom boundary latitude Fixed bug in make_grid preventing custom start times with -i flag Fixed bugs in AACGM_v2 software Fixed numerous plotting bugs Updated Falkland Islands and Stokkseyri hdw.dat files Updated README and documentation for FITACF 3.0 Updated documentation following the -new/-old flag change from previous release (4.1) Cleanup of numerous warning messages during compilation 
URL https://zenodo.org/record/1403226
 
Title SuperDARN Radar Software Toolkit (RST) 4.3 
Description New features in version 4.3 of the Radar Software Toolkit (RST) include: Shepherd [2017] elevation angle algorithm Update the Heppner-Maynard boundary (HMB) lower latitude limit from 50 degrees to 40 degrees in map_addhmb Moved convection model software into a new library Moved elevation angle algorithms into a new library Bugfix to map_addimf for missing IMF values Updates to map, time, and field plotting Bugfix for negative phidiff for fitacf 3.0 Update to dmap to check for appropriate array size values Bugfix to IDL and DLM versions of FitClose functionality Bugfix to solve_model for longitude spacing for equal-area grid option Updates to real-time grid code in rtgrid Proper reading and writing of fit-level data file version numbers Updates to numerous hdw.dat files as well as radar.dat file Updates to documentation (includes a Readthedocs page that is still a work in progress in parts) Updates to make_smr output formatting Update to OldFitWrite library to store offset value Reduction in number of compilation warnings The RST is actively developed and maintained by the SuperDARN Data Analysis Working Group (https://superdarn.github.io/dawg/). 
Type Of Technology Software 
Year Produced 2019 
Open Source License? Yes  
Impact New features in version 4.3 of the Radar Software Toolkit (RST) include: Update to the Heppner Maynard Boundary (HMB) lower latitude limit from 50 degrees to 40 degrees in map_addhmb Addition of convection model library in cnvmodel.1.0 that reduces duplicate copies of code Updated elevation angle algorithms library Bugfix to map_addimf for missing IMF values Updates to map, time, and field plotting Bugfix for negative phidiff for fitacf 3.0 Update to dmap to check for appropriate array size values Bugfix to IDL and DLM versions of FitClose functionality Bugfix to solve_model for longitude spacing for equal-area grid option Updates to real-time grid code in rtgrid in model compatibilities Proper reading and writing of fit-level data file version numbers Updates to numerous hdw.dat files as well as radar.dat file Updates to documentation (includes a Readthedocs page that is still a work in progress in parts) Updates to make_smr output formatting Update to OldFitWrite library to store offset value Additions of warning or error messages in only a few parts of codebase Reduction in number of compilation warnings In addition, this release introduces Codacy checks on the github side of things to check for a number of coding/software issues. However, these issues will largely show up during new pull request where files are modified. 
URL https://zenodo.org/record/3401622
 
Title SuperDARN Radar Software Toolkit (RST) 4.3.1 
Description This patch release features the updated AACGM 2.6 that was released by Dr. Simon Shepherd at Dartmouth College (http://superdarn.thayer.dartmouth.edu/aacgm.html). The RST is actively developed and maintained by the SuperDARN Data Analysis Working Group (https://superdarn.github.io/dawg/). 
Type Of Technology Software 
Year Produced 2020 
Open Source License? Yes  
Impact This patch release features the updated AACGM 2.6 that was released by Dr. Simon Shepherd at Dartmouth College (http://superdarn.thayer.dartmouth.edu/aacgm.html). 
URL https://zenodo.org/record/3634732
 
Title SuperDARN Radar Software Toolkit (RST) 4.3.2 
Description This is a patch release to include updated information for the newly added radars Dome C North (dcn) and Jiamusi (jme). As well, there is updated information for older radars South Pole Station (sps) and Dome C East (dce). Of note, the update to the hdw.dat.dce file applies to data from the start of the radar in 2013. The RST is actively developed and maintained by the SuperDARN Data Analysis Working Group (https://superdarn.github.io/dawg/). 
Type Of Technology Software 
Year Produced 2020 
Open Source License? Yes  
Impact This is a patch release to include updated information for the newly added radars Dome C North (dcn) and Jiamusi (jme). As well, there is updated information for older radars South Pole Station (sps) and Dome C East (dce). Of note, the update to the hdw.dat.dce file applies to data from the start of the radar in 2013. 
URL https://zenodo.org/record/3775981
 
Title SuperDARN radar software toolkit 
Description Software that analyses the data from a network of ground-based ionospheric radars (SuperDARN) to produce ionospheric convection velocity measurements, and 2-D plasma convection patterns for the northern and southern hemisphere mid- to high-latitude ionospheres. 
Type Of Technology Software 
Year Produced 2018 
Open Source License? Yes  
Impact The software is used by ionospheric physicists internationally and development of the software is crucial as new radars are added to the network, and new analysis requirements brought to the attention of the SuperDARN Data Analysis Working Group. 
URL http://doi.org/10.5281/zenodo.1143675
 
Description Aurorawatch UK Blog post "Changing the Perspective: Looking at the Aurora from Space" 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact In this blog post Dr. Maria-Theresia Walach discusses how scientists study the aurora from space - including the recently revived IMAGE spacecraft. The aurora have a major influence on the ionospheric electric field, which is the main focus of this award. By making the links between the somewhat abstract (to the public) concept of "ionospheric electric fields" with the more familiar topic of the aurora, we hope to better engage with the public and convey the broader relevance of our research.
Year(s) Of Engagement Activity 2018
URL http://wp.lancs.ac.uk/aurorawatchuk/2018/02/09/changing-the-perspective-looking-at-the-aurora-from-s...
 
Description Invited Seminar Talks 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Other audiences
Results and Impact Seminar talk to academic research groups
Year(s) Of Engagement Activity 2019,2021
 
Description Lancaster University Community Day 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact Poster display and hands on activities based on solar system research for the University Community Day. Raised awareness of research area.
Year(s) Of Engagement Activity 2017
 
Description School research project (Clitheroe Grammar School) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Research project with 12 GCSE/A-Level students where students were given real data and a problem to analyse. The pandemic halted the project and any related outcomes.
Year(s) Of Engagement Activity 2019,2020