Predicting the upper atmospheric response to extremes of space weather forcing

Lead Research Organisation: Lancaster University
Department Name: Physics

Abstract

Space weather describes the effects of solar activity on our planet, its atmosphere and space environment. For example, energetic particles from the Sun can impact and damage Earth-orbiting spacecraft. Electric fields driven by solar winds can modify the upper atmosphere causing heating and changing the propagation characteristics of radio waves for communications systems. Rapid changes produced in the Earth's magnetic field can induce electrical currents in grounded technical infrastructure. Understanding space weather is thus an important scientific goal, and given the relatively sparse nature of observatories capable of measuring space weather effects directly, it is clear that a capability to model space weather is required.

To model the atmospheric effects of space weather we need to consider the whole atmosphere. Although space weather effects are most apparent at high-altitudes, the dynamics of the upper atmosphere - the thermosphere and ionosphere - are driven both from space ('top-down' forcing) and from the atmospheric layers below ('bottom-up' forcing). Even during extreme space weather events such as geomagnetic storms, model studies have shown that the state of the lower atmosphere can influence the thermospheric response. Electric fields are included in ionosphere-thermosphere models to couple the dynamics of the magnetosphere (the region of near-Earth space controlled by the solar wind), and hence the drivers of space weather, to the neutral atmosphere. Currently, the most state-of-the-art whole atmosphere models include limited and outdated parameterisations of the ionospheric electric field, based on decades old datasets and assumptions, which do not allow for realistic time-variability or extreme events to be captured.

We propose to utilise our expertise in exploring and modelling ionosphere-thermosphere electrodynamics to bring state-of-the-art ionospheric electric field inputs to the Whole Atmosphere Community Climate Model - Extended (WACCM-X). We will test the new model configurations by running simulations of pre-selected events for which we have observations and measurements of ionospheric and thermospheric flows, densities, and temperatures. The model configuration that is best able to reproduce the observations will then be used to specify global thermospheric parameters for a range of different space weather drivers during intervals of variable solar wind forcing and geomagnetic activity. Our results will enable us to solve a number of outstanding questions on the thermospheric response to space weather and inform the next generation of whole atmospheric modelling and space weather modelling.

Planned Impact

This project will have wider impact beyond academic impact regarding a number of areas:

(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 and capabilities. As a result, the electrodynamics of the thermosphere need to be better understood. The development of improved atmospheric modelling capabilities will result in the largest impact outside of academia. Understanding the time-variability of the thermospheric response to space weather that feeds into the global atmospheric dynamics will have a particular impact in this area. The MetOffice in particular are currently working towards expand the height of their Whole Atmosphere Modelling capabilities and they will be interested in learning how they can build their model to encompass the ionosphere and thermosphere in a physically representative way. Our scientific findings will inform their work as the project progresses and it will have a lasting effect by informing future generations of models, which means our work will have a short-term impact (months) ranging to very long-term (decades).

(2) Agencies such as the Ministry of Defence, commercial airlines, and electricity supply companies will benefit from a better understanding of the geospace environment. Feedback from the lower atmosphere to the ionosphere and thermosphere can produce significant effects that are not well reproduced in existing models. 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 and other space weather events will provide valuable new insights into the physics of these highly energetic phenomena. This impact will primarily be long term, as future decisions and models for space weather may be based on our findings.

(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. The impact in this area will be over the course of the project.

Publications

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Description The ultimate aim of this work was to assess the relative importance of the choice of ionospheric electric field models in whole atmospheric modelling, such as that provided by WACCM-X, using SuperDARn radar derived electric field datasets.
As part of this, we have had to assess the analysis methods used to produce the ionospheric electric field data that is input to the whole atmosphere models.
We have published two studies that have provided detailed analyses on the sensitivity of the electric field data products to a number of parameters.
Exploitation Route Consideration of the parameters used in analysis of electric field data is critical for effective utilisation of the data.
Sectors Environment

 
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 (RST) 4.4 
Description New features in version 4.4 of the Radar Software Toolkit (RST) include: iqdat reading and plotting bugfixes make_raw bugfixes to correctly reproduce rawacf file from an iqdat file Improvements on freeing memory allocation in make_fit fitacfserver bugfix for system assigned port number map_addimf bugfixes for CDF files for solar wind input Input error checking on map_addmodel rawwrite bugfix for missing acfd array dmaptocdf and dmaptoncdf bugfixes Better defining and consistent use of constants Continued compiler warning cleanup/reduction Documentation updates Added .zenodo.json file for better citation control 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 New features in version 4.4 of the Radar Software Toolkit (RST) include: iqdat reading and plotting bugfixes make_raw bugfixes to correctly reproduce rawacf file from an iqdat file Improvements on freeing memory allocation in make_fit fitacfserver bugfix for system assigned port number map_addimf bugfixes for CDF files for solar wind input Input error checking on map_addmodel rawwrite bugfix for missing acfd array dmaptocdf and dmaptoncdf bugfixes Better defining and consistent use of constants Continued compiler warning cleanup/reduction Documentation updates Added .zenodo.json file for better citation control The RST is actively developed and maintained by the SuperDARN Data Analysis Working Group (https://superdarn.github.io/dawg/) 
URL https://zenodo.org/record/3934368
 
Title SuperDARN Radar Software Toolkit (RST) 4.4.1 
Description This is a patch release to fix a compilation error that happens with some systems. 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 fix a compilation error that happens with some systems. 
URL https://zenodo.org/record/3994968
 
Title SuperDARN Radar Software Toolkit (RST) 4.5 
Description New features in version 4.5 of the Radar Software Toolkit (RST) include: New library for processing and plotting ionospheric sounding (snd) mode data New documentation on rawacf file format Fixed "core dump" error in make_fit -old Update of DLM functions to read dat files Fixed grid and map plotting for southern hemisphere data Consolidated plotting code into a single library (does not affect functionality) Updated compiler to C99 Removed numerous 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 2021 
Open Source License? Yes  
Impact New features in version 4.5 of the Radar Software Toolkit (RST) include: New library for processing and plotting ionospheric sounding (snd) mode data New documentation on rawacf file format Fixed "core dump" error in make_fit -old Update of DLM functions to read dat files Fixed grid and map plotting for southern hemisphere data Consolidated plotting code into a single library (does not affect functionality) Updated compiler to C99 Removed numerous compilation warnings 
URL https://zenodo.org/record/4435297
 
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