Broadly speaking, I am interested in the impact of terrestrial and space weather on the Earth’s ionosphere and inner magnetosphere. In my PhD work, I have access to a fantastic dataset of global lightning activity from the World Wide Lightning Location Network (WWLLN), which I help maintain. I use this dataset–along with data from other instruments we build and deploy, or from existing networks and services–to study the impact of strong solar flares and particle events on radio wave propagation in the Earth-ionosphere waveguide, lightning-launched whistler-mode wave power density in the plasmasphere, and the contribution of global thunderstorms to the Earth’s Global Electric Circuit.
Detection of VLF attenuation in the Earth-ionosphere waveguide associated with solar flares
Here we used data from the World Wide Lightning Location Network (WWLLN) to observe changes in very low frequency (VLF) radio wave propagation in the Earth-ionosphere waveguide associated with strong solar flares. VLF radio waves can propagate thousands of kilometers in the waveguide, so WWLLN is able to use a network of spatially-distributed receiving stations to detect radio waves launched by lightning strokes, and thereby locate lightning all over the world.
Solar flares, and other space weather phenomena, alter the plasma density profile of the ionosphere. Solar flares in particular enhance ionization, and therefore electron density, at low altitudes; driving the bottom-side ionosphere that forms the upper boundary of the Earth-ionosphere waveguide to lower altitude. Greater neutral atmosphere density at lower altitude means there is more attenuation from electron-neutral collisions, so VLF waves have a harder time propagating long distances through regions of the Earth-ionosphere waveguide impacted by a solar flare.
By assembling a distribution of propagation paths between lightning strokes and WWLLN stations, and observing how this distribution changes in time, we can look for changes in VLF propagation in the Earth-ionosphere waveguide when strong solar flares occur. In Anderson et al. 2020, we compared the difference in stroke-station path distribution with HF attenuation modeled by the NOAA D-Region Absorption Prediction (D-RAP) code for the X9.3 and X8.2 flares of September 6-10, 2017.
You can find a more detailed description of methods in the paper, and MATLAB code in my pathGrid repository. As of November 2020, this repository is not very well streamlined for other users, but I am working on developing a well-documented version with intuitive parameter inputs. I am also working on a version of this code that can plot attenuation regions in near-real time, updating every 10 minutes.
Whistler wave power density in the magnetosphere from global lightning
The aim of this project is to get an idea of how lightning-generated whistler waves impact different particle populations in the magnetosphere. Much work has gone into ray-tracing of whistler wave paths in the inner magnetosphere in recent decades, although usually the aim is to correlate satellite observations of particular wave or particle events with specific lightning strokes or other whistler sources. Here, we will calculate ray paths for all lightning strokes observed in the by WWLLN, and thereby model whistler wave power density from lightning strokes in the magnetosphere. Additionally, Holzworth et al. 2021 found that high-latitude lightning is increasing as a proportion of total lightning; how might this change in lightning climatology impact plasma in the magnetotail?
This project is in its early stages, and is roughly composed of three parts:
- modeling wave propagation from a lightning stroke to the top of the ionosphere
- ray-tracing waves from the top of the ionosphere into the magnetosphere
- modeling wave-particle interactions and energy loss
As of May 2021, individual ray paths can be traced from the top of the ionosphere (~1000 km altitude) into the magnetosphere, using Haselgrove’s equations. This ray tracer can be found in the ray-trace repository. I am enjoying using the Julia language for this project, because of its combination of development speed and runtime efficiency.
Thunderstorm contribution to the Global Electric Circuit
Thunderstorms were hypothesized to be the principal driver of the Global Electric Circuit (GEC) nearly 100 years ago by C. T. R. Wilson (1921), but testing this hypothesis has proved difficult due to difficulty in measuring the relative contributions to the GEC of various sources: namely, thunderstorms, electrified shower clouds, and other middle-atmosphere current sources (Williams E. , 2009). This work seeks to quantify the thunderstorm contribution to the GEC by combining two measurement schemes:
- A stratospheric balloon campaign, whose payloads will measure vector electric field and electrical conductivity in the fair-weather atmosphere, from which the fair-weather return current of the GEC can be derived, and
- A study of global thunderstorm area determined by the World Wide Lightning Location Network (WWLLN), with correction from satellite lightning and cloud imagery.
A test balloon flight was conducted in early September 2019, wherein one payload flew for 31 hours and produced 18.5 hours of usable electric field and conductivity data. These data were presented in a talk at the 2019 AGU Fall Meeting. Two science flights were conducted in June 2021. These balloons were launched about two days apart in order to ensure >300 km spacing between them, and simultaneously gathered data in the stratosphere for about two days. Results from the science flights, and a comparison with several different estimates of global thunderstorm activity during the balloon measurement time, will be presented at the 2021 AGU Fall Meeting.
In the banner photo of this page, you can see one of the stratospheric balloon payloads being tested in Sisters, OR, in September 2019. The tiny white speck above the payload’s boom on the right side of the image is the balloon flown during the test flight, catching the last rays of sunlight.