Space Weather Instrumentation, Measurement, Modelling and Risk: Thermosphere (SWIMMR-T)
Lead Research Organisation:
British Antarctic Survey
Department Name: Science Programmes
Abstract
Space debris is emerging as a key problem with the potential to cause major socio-economic impacts. It is currently estimated that there are over 900,000 pieces of debris greater than 1 cm orbiting the Earth. Collisions with such objects can destroy satellite instruments, subsystems and even the satellite itself. On average the United States Strategic Command issue ~900 Conjunction Data Messages (providing expected miss distance, estimated probability of collision, time of closest approach, and closest approach relative position and velocity) to users every day.
The European Space Agency currently estimates that the economic loss to European satellite operators from collisions and unnecessary avoidance manoeuvres is in excess of £200 million per year. Moreover, with the number of objects (> 1 cm) increasing by ~70,000 per year, collisions will inevitably increase and if the debris reaches a critical density, an uncontrolled collision cascade known as the Kessler Syndrome is likely to occur. This has the potential to limit use of LEO and to increase concerns for the safety of all spaceflight. As such, there are two primary concerns: the sustainability of space activities over the longer-term, and the safety of spaceflight over the shorter-term. Therefore it is essential not only to reduce the number of debris objects in LEO, but also to improve the accuracy in predictions of near misses and to enable timely and efficient planning of collision avoidance manoeuvres. However, a major problem is that current orbit modelling and prediction is insufficiently accurate because of the time varying drag effect of the upper atmosphere on satellites.
The dominant unknown in orbital trajectory predictions of LEO objects is the density of the upper atmosphere (thermosphere), which exerts a time and location dependent drag. Given that the thermospheric density can vary by 80% diurnally and by 250% during a solar storm this is a major modelling challenge. Contemporary models used to forecast orbit trajectories are empirical and can result in large uncertainties corresponding to positional errors of kilometres after just one day. These inaccuracies result in unnecessary satellite avoidance manoeuvres at great cost to satellite operators.
In order to better predict orbital conjunctions a fully coupled (neutral and ionized) model of the lower and upper atmosphere is required into which a broad range of measurement data can be assimilated using novel mathematical techniques. This approach will provide a complete and accurate picture of the ionosphere and thermosphere.
Our programme seeks to secure a step-change in the Met Office's (and more broadly the UK's) ability to specify and forecast the thermosphere. To achieve our objectives, we will leverage background IP from previous NERC, EPSRC, UKSA, ESA and Dstl grants and contracts and explore new techniques. In the case of the leveraged IP we expect that all models will be at TRL 6 by the grant end and new research will be on a best efforts basis. We will achieve our objectives by benefitting from a four-institution consortium of some of the country's principal experts.
The majority of the programme will focus on environmental models, but while doing this we will maintain an awareness of the applications for these models, satellite operators.
The European Space Agency currently estimates that the economic loss to European satellite operators from collisions and unnecessary avoidance manoeuvres is in excess of £200 million per year. Moreover, with the number of objects (> 1 cm) increasing by ~70,000 per year, collisions will inevitably increase and if the debris reaches a critical density, an uncontrolled collision cascade known as the Kessler Syndrome is likely to occur. This has the potential to limit use of LEO and to increase concerns for the safety of all spaceflight. As such, there are two primary concerns: the sustainability of space activities over the longer-term, and the safety of spaceflight over the shorter-term. Therefore it is essential not only to reduce the number of debris objects in LEO, but also to improve the accuracy in predictions of near misses and to enable timely and efficient planning of collision avoidance manoeuvres. However, a major problem is that current orbit modelling and prediction is insufficiently accurate because of the time varying drag effect of the upper atmosphere on satellites.
The dominant unknown in orbital trajectory predictions of LEO objects is the density of the upper atmosphere (thermosphere), which exerts a time and location dependent drag. Given that the thermospheric density can vary by 80% diurnally and by 250% during a solar storm this is a major modelling challenge. Contemporary models used to forecast orbit trajectories are empirical and can result in large uncertainties corresponding to positional errors of kilometres after just one day. These inaccuracies result in unnecessary satellite avoidance manoeuvres at great cost to satellite operators.
In order to better predict orbital conjunctions a fully coupled (neutral and ionized) model of the lower and upper atmosphere is required into which a broad range of measurement data can be assimilated using novel mathematical techniques. This approach will provide a complete and accurate picture of the ionosphere and thermosphere.
Our programme seeks to secure a step-change in the Met Office's (and more broadly the UK's) ability to specify and forecast the thermosphere. To achieve our objectives, we will leverage background IP from previous NERC, EPSRC, UKSA, ESA and Dstl grants and contracts and explore new techniques. In the case of the leveraged IP we expect that all models will be at TRL 6 by the grant end and new research will be on a best efforts basis. We will achieve our objectives by benefitting from a four-institution consortium of some of the country's principal experts.
The majority of the programme will focus on environmental models, but while doing this we will maintain an awareness of the applications for these models, satellite operators.
Planned Impact
The proposed research programme will make economic, societal, and academic impacts through a number of paths.
Economy
The UK space industry is an important national asset and benefits our economy in many ways. The UK space industry is worth approximately £12B and has been growing by an average of 8.6% year-on-year since 2010. The UK Space Innovation and Growth Strategy has a target of achieving 10% of the global space market, which is estimated to be £40
billion by 2030. For these reasons and others relating to severe space weather events, the government took a decision to stand up MOSWOC in 2014 to mitigate the impact of space weather on the economy. Our programme will make a substantial contribution to that mitigation.
Society
Amongst others we have identified the impact of collisions in LEO in terms of the long-term sustainability of space activities and the safety of spaceflight over the shorter-term. Each of these will increasingly become part of programmes to minimise climate change and maintaining their performance through SWIMMR-T will be an important facet of that provision.
A further beneficiary is the UK MoD where this project will support the UK's security needs.
The proposed research will contribute to the Space Situational Awareness advice provided to the UK government with regards extreme space weather impacts. The PI and one of the Co-I's (Professor Cannon) are members of the Government's Space Environment Impacts Expert Group (SEIEG) and Professor Cannon regularly advises Government in the context of extreme space weather. Professor Hugh Lewis represents the UK Space Agency on the Inter-Agency Space Debris Coordination Committee (IADC) and is the UK's representative to the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS) Expert Group on "Space Debris, Space Operations and Tools to Support Collaborative Space Situational Awareness"
Knowledge/Training/Dissemination
A University of Birmingham funded studentship will start in 2020 that will run alongside the proposed work. It is our intention to initiate a further studentship in 2021.
Journal and conference papers will be a major output from each WP as means to transfer the knowledge to the academic community.
The consortium already embraces academic, industrial, government and overseas collaboration (e.g. the US-DoD Air Force Research Laboratory and Naval Research Laboratory).
Economy
The UK space industry is an important national asset and benefits our economy in many ways. The UK space industry is worth approximately £12B and has been growing by an average of 8.6% year-on-year since 2010. The UK Space Innovation and Growth Strategy has a target of achieving 10% of the global space market, which is estimated to be £40
billion by 2030. For these reasons and others relating to severe space weather events, the government took a decision to stand up MOSWOC in 2014 to mitigate the impact of space weather on the economy. Our programme will make a substantial contribution to that mitigation.
Society
Amongst others we have identified the impact of collisions in LEO in terms of the long-term sustainability of space activities and the safety of spaceflight over the shorter-term. Each of these will increasingly become part of programmes to minimise climate change and maintaining their performance through SWIMMR-T will be an important facet of that provision.
A further beneficiary is the UK MoD where this project will support the UK's security needs.
The proposed research will contribute to the Space Situational Awareness advice provided to the UK government with regards extreme space weather impacts. The PI and one of the Co-I's (Professor Cannon) are members of the Government's Space Environment Impacts Expert Group (SEIEG) and Professor Cannon regularly advises Government in the context of extreme space weather. Professor Hugh Lewis represents the UK Space Agency on the Inter-Agency Space Debris Coordination Committee (IADC) and is the UK's representative to the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS) Expert Group on "Space Debris, Space Operations and Tools to Support Collaborative Space Situational Awareness"
Knowledge/Training/Dissemination
A University of Birmingham funded studentship will start in 2020 that will run alongside the proposed work. It is our intention to initiate a further studentship in 2021.
Journal and conference papers will be a major output from each WP as means to transfer the knowledge to the academic community.
The consortium already embraces academic, industrial, government and overseas collaboration (e.g. the US-DoD Air Force Research Laboratory and Naval Research Laboratory).
Organisations
Publications
Chisham G
(2022)
Ionospheric Boundaries Derived From Auroral Images
in Journal of Geophysical Research: Space Physics
Chisham G.
(2021)
A Statistical Model of Vorticity in the Polar Ionosphere and Implications for Extreme Values
in JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
Coxon J
(2022)
RAS Specialist Discussion Meeting report
in Astronomy & Geophysics
Coxon John C.
(2022)
RAS Specialist Discussion Meeting report
in ASTRONOMY & GEOPHYSICS
Eggington J
(2022)
Response timescales of the magnetotail current sheet during a geomagnetic storm: Global MHD simulations
in Frontiers in Astronomy and Space Sciences
Lam M
(2023)
A Model of High Latitude Ionospheric Convection Derived From SuperDARN EOF Model Data
in Space Weather
Orr L
(2023)
A Quantitative Comparison of High Latitude Electric Field Models During a Large Geomagnetic Storm
in Space Weather
Shore R
(2021)
Data-Driven Basis Functions for SuperDARN Ionospheric Plasma Flow Characterization and Prediction
in Journal of Geophysical Research: Space Physics
Walker S
(2024)
A Comparison of Auroral Oval Proxies With the Boundaries of the Auroral Electrojets
in Space Weather
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 |
Impact | It formed the basis of a reanalysis for a full 12 years of data |
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, 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 | It has been used to develop a forecast model under the SWIMMR-T project |
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 |
Impact | Simple convection model that uses minimal input parameters. |
URL | https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01706 |
Title | Ionospheric boundaries derived from IMAGE satellite mission data (May 2000 - October 2002) - VERSION 2.0 |
Description | Ionospheric boundary locations derived from IMAGE (Imager for Magnetopause-to-Aurora Global Exploration) satellite FUV (Far Ultra Violet) imager data covering the period from May 2000 until October 2002. These include poleward and equatorward auroral boundary data derived directly from the three imagers, WIC (Wideband Imaging Camera), SI12 (Spectrographic Imager 121.8 nm), and SI13 (Spectrographic Imager 135.6 nm). These also include the OCB (open-closed magnetic field line boundary) and EPB (equatorward precipitation boundary) derived indirectly from the auroral boundaries. The data set also includes model fitted circles for all the boundary data sets for all measurement times. Chisham et al. (2022) also describe that the v2 data set also includes estimates of the OCB at each time, derived from a combination of the poleward auroral boundary measurements in combination with modelled statistical offsets between the auroral boundary and the OCB as measured by the DMSP spacecraft. The v2 data set also includes estimates of the EPB at each time, derived from a combination of the equatorward auroral boundary measurements in combination with modelled statistical offsets between the auroral boundary and the EPB as measured by the DMSP spacecraft. The v2 data set also includes model circle fit boundaries for all times for all eight raw data sets. These model circle fits were estimated using the methods outlined in Chisham (2017) and Chisham et al. (2022), which involves fitting circles to the spatial variation of the boundaries at any one time. The raw auroral boundaries were derived as outlined in Longden et al. (2010) (the original v1 data set) with the application of the additional selection criteria outlined in Chisham et al. (2022). For the creation of the original v1 data set, for each image, the position of each pixel in AACGM (Altitude Adjusted Corrected Geomagnetic) coordinates was established. Each image was then divided into 24 segments covering 1 hour of magnetic local time (MLT). For each MLT segment, an intensity profile was constructed by finding the average intensity across bins of 1 degree magnetic latitude in the range of 50 to 90 degrees (AACGM). Two functions were fit to each intensity profile: a function with one Gaussian component and a quadratic background, and a function with two Gaussian components and a quadratic background. The function with a single Gaussian component should provide a reasonable model when the auroral emission forms in a continuous oval. When the oval shows bifurcation, the function with two Gaussian components may provide a better model of the auroral emission. Of the two functions fit to each intensity profile, the one with the lower reduced chi-square goodness-of-fit statistic was deemed to be the better model for that profile. The auroral boundaries were then determined to be the position of the peak of the poleward Gaussian curve, plus its FWHM (full-width half-maximum) value of the Gaussian, to the peak of the equatorward Gaussian, minus its FWHM. In the case of the single Gaussian fit, the same curve is used for both boundaries. A number of criteria were applied to discard poorly located auroral boundaries arising from either poor fitting or incomplete data. Following Chisham et al. (2022), additional criteria were used to refine the data for the v2 auroral boundary data sets. These included dealing with anomalous data at the edges of the image fields of view, and dealing with anomalous mapping issues. Funding was provided by: STFC grant PP/E002110/1 - Does magnetic reconnection have a characteristic scale in space and time? NERC directed grant NE/V002732/1 - Space Weather Instrumentation, Measurement, Modelling and Risk - Thermosphere (SWIMMR-T). NERC BAS National Capability - Polar Science for Planet Earth. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | New Auroral Boundary data base. |
URL | https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01631 |
Title | Reanalysis of SuperDARN radar line-of-sight velocities |
Description | SuperDARN HF coherent radar plasma line-of-sight velocities 1997 - 2008 at 5-minute cadence. Empirical Orthogonal Function analysis has been used to analyse the velocity data into modes, and to infill missing data. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | No |
Impact | It has been adopted as a key model to use in the SWIMMR-T project, and to continue to develop for forecasting purposes in the TIE GCM model |
URL | https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01630 |
Description | Movie for European Space Weather Week |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An online presentation for anyone attending the conference to view over several weeks. This was made into a movie that ran on a loop in the main poster hall. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.stce.be/esww2022/program/program.php |
Description | National Astronomy Meeting poster |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | My work presented in a poster session |
Year(s) Of Engagement Activity | 2022 |
URL | https://nam2022.org/ |
Description | Specialist Discussion meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Over 50 people from around the world attended a special discussion meeting held at the Royal Astronomical Society (some via Zoom) to explore the way forward in providing thermosphere weather forecasts |
Year(s) Of Engagement Activity | 2024 |
URL | https://ras.ac.uk/events-and-meetings/ras-meetings/meeting-challenges-limited-observations-global-mo... |
Description | Talk at SWIMMR Symposium |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Annual workshop for the UK's SWIMMR-T (Space Weather Instrumentation, Measurement, Modelling and Risk - Thermosphere) project, a multi-million-pound project during 2020-2024 to operationalise UK space weather modelling and forecasting. |
Year(s) Of Engagement Activity | 2022 |
URL | https://hopin.com/events/the-2022-swimmr-symposium |
Description | Zoom talk ESWW 2021 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | European Space Weather week 2021. I had a 'poster' presentation at this conference which is attended by a mix of academic researchers, people from industry and possibly government departments. |
Year(s) Of Engagement Activity | 2021 |
URL | http://esww17.iopconfs.org/1074015 |
Description | Zoom talk SWIMMR symposium |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | SWIMMR Symposium 2021. Present were the academic researchers for the SWIMMR project, but there will have been some broader interest from the Met Office, industry and government departments. |
Year(s) Of Engagement Activity | 2021 |
URL | https://youtube.com/playlist?list=PLyLeQN0tRck0nZsjciAh6Rg8C6PK9AAsV |