| Literature DB >> 36245952 |
Dongshuai Li1,2, Alejandro Luque1, Nikolai G Lehtinen3, F J Gordillo-Vázquez1, Torsten Neubert4, Gaopeng Lu5, Olivier Chanrion4, Hongbo Zhang6, Nikolai Østgaard3, Víctor Reglero7.
Abstract
How lightning initiates inside thunderclouds remains a major puzzle of atmospheric electricity. By monitoring optical emissions from thunderstorms, the Atmosphere-Space Interactions Monitor (ASIM) onboard the International Space Station is providing new clues about lightning initiation by detecting Blue LUminous Events (BLUEs), which are manifestations of electrical corona discharges that sometimes precedes lightning. Here we combine optical and radio observations from a thunderstorm near Malaysia to uncover a new type of event containing multiple optical and radio pulses. We find that the first optical pulse coincides with a strong radio signal in the form of a Narrow Bipolar Event (NBE) but subsequent optical pulses, delayed some milliseconds, have weaker radio signals, possibly because they emanate from a horizontally oriented electrical discharges which does not trigger full-fledged lightning. Our results cast light on the differences between isolated and lightning-initiating electrical discharges.Entities:
Year: 2022 PMID: 36245952 PMCID: PMC9539966 DOI: 10.1029/2022GL098938
Source DB: PubMed Journal: Geophys Res Lett ISSN: 0094-8276 Impact factor: 5.576
Figure 1Distribution of the intracloud (IC)/cloud‐to‐ground (CG) lightning with 8 multiple‐pulse BLUEs superimposed on the cloud Top Blackbody Brightness temperature (TBB, given in (K) in the region of interest and the zoomed‐in rectangular region, indicated with the dotted black line, per 10 min at time 17:40:00 UTC (a),(d), 17:50:00 UTC (b),(e), and 18:00:00 UTC (c),(f). Numbers of different types of lightning events are shown in (g): positive CGs (+CGs), negative CGs (−CGs), positive ICs (+ICs) and negative ICs (−ICs). The multiple‐pulse BLUEs occurred in the time period from 17:50:00 to 17:51:00 UTC marked in blue shaded region in (g). The ground‐based VLF/LF sensor at Malaysia is shown as a black triangle in panels (a, b, c). The footprints of ASIM are shown with a black dashed line.
The Detailed Features of the Multiple‐Pulse BLUEs
| Primary BLUE | Subsequent BLUE pluses | |||||||
|---|---|---|---|---|---|---|---|---|
| ID | MMIA UTC time (source) | Irradiance (μW/m2) | Rise time | Total time duration | Irradiance (μW/m2) | Rise time | Total time duration | Time difference(ms) |
| 1 | 17:50:08.246 | 4.54 | 0.18 | 1.25 | 2.5 | 0.05 | 0.86 | 3.1 |
| 2 | 17:50:09.645 | 5.57 | 0.30 | 2.25 | 2.76 | 0.58 | 1.66 | 6.0 |
| 3 | 17:50:19.447 | 12.42 | 0.17 | 1.53 | 6.08 | 0.14 | 1.61 | 1.7 |
| 4 | 17:50:24.704 | 10.28 | 0.79 | 6.50 | 3.52 | 0.14 | 3.37 | 9.4 |
| 5 | 17:50:35.617 | 4.54 | 0.59 | 2.45 | 4.54 | 0.68 | 2.64 | 3.3 |
| 6 | 17:50:43.238 | 8.69 | 0.79 | 3.60 | 4.54 | 0.79 | 3.75 | 2.6 |
| 7 | 17:50:46.157 | 10.81 | 0.06 | 1.93 | 3.01 | 0.22 | 1.15 | 7.3 |
| 8 | 17:50:55.181 | 3.01 | 0.12 | 1.19 | 3.01 | 0.41 | 2.55 | 1.4 |
Note. The detection times of MMIA have been corrected to the source time with respect to the BLUE locations.
Rise time is the time taken for the amplitude of a MMIA photometer signal to rise from 10% to 90%.
Time duration is the time interval for the amplitude of a MMIA photometer signal to rise from 10% and fall to 10%.
The first subsequent BLUE pulse is used to evaluate the rise time and time duration since the photometer signal includes multiple pulses (see Figure S4 and S10 in Supporting Information S1 for details).
The special multiple‐pulse case.
Figure 2Comparison between MMIA photometer irradiance (blue: 337 nm, yellow: 180–230 nm and red: 777.4 nm) and the modeling results of the analytical diffusion model (black) and Cloudscat model (green) on a linear (a) and logarithmic (b) scale along with azimuthal magnetic field component B (c), the North‐south and East‐west magnetic field components B NS and B EW (d) and its norm (e), recorded at the ground‐based VLF/LF sensor nearby Malaysia for event 1. Also shown: the image detected by the 337‐nm filtered camera of MMIA (f) and the simulated image of the Cloudscat model (g). The start time (corrected to the source time with respect to the locations) for NBE and its subsequent pulses is marked with the dashed black line, within the time difference 3.1 ms with ±0.65 ms uncertainty (gray shadowed region). The ground wave and multiple‐hop ionospheric reflections for NBEs are marked in (c).
Figure 3Comparison of normalized magnetic field components between the simulation and observation corresponding to the NBE (a,b,c,d) and the subsequent pulses (e,f,g,h) of multiple‐pulse BLUE for event 1 (see the black rectangle with the NBE and subsequent pulses labels marked in Figure 2(d)). The magnetic field components of B and B are calculated by the FWM modeling and the East‐West and North‐South magnetic field components of B EW and B NS are measured by the ground‐based VLF/LF sensor at Malaysia. The correlation between the different components of the simulated magnetic field (B and B ) and the measured magnetic field components (B EW and B NS) for both NBE (b), (d) and the subsequent pulses (f), (h) are also shown in the figure. The ground wave and 1‐hop sky wave reflections are marked as G, 1S, and 2S.
The Inferred Features of the Multiple‐Pulse BLUEs
| Parameters | NBE | Subsequent pulses | |||||||
|---|---|---|---|---|---|---|---|---|---|
| ID | Distance |
|
| 337‐nm optical energy (J) | Streamer branching events | Altitude | Depth | Current moment | Depth |
| 1 | 495 | 3 × 108 | 20 | 1.3 × 103 | 1.0 × 108 | 17.68 | 0.96 | 2.64 | 0.66 |
| 2 | 494 | 2 × 108 | 20 | 3.7 × 103 | 2.9 × 108 | 16.67 | 1.50 | 5.50 | 1.74 |
| 3 | 489 | 1 × 108 | 20 | 6.4 × 103 | 5.0 × 108 | 17.03 | 1.85 | 4.21 | 1.45 |
| 4 | 486 | – | – | – | – | 15.55 | – | 6.23 | – |
| 5 | 486 | – | – | – | – | 15.55 | – | 2.92 | – |
| 6 | 480 | – | – | – | – | 15.87 | – | 3.69 | – |
| 7 | 482 | 1 × 108 | 20 | 3.8 × 103 | 3.0 × 108 | 17.95 | 1.30 | 22.62 | 2.79 |
| 8 | 477 | – | – | – | – | 17.33 | – | 3.64 | – |
Note. The altitudes (H) are estimated using the simplified ray‐theory method proposed by (Smith et al., 1999, 2004) based on the ground‐based VLF/LF sferics. The depths (L) relative to cloud top boundary are evaluated by using the analytical diffusion model in equation (2) in Supporting Information S1 based on the 337‐nm photometer signals of MMIA.
The first subsequent BLUE pulse is used to obtain the fitting parameters since the photometer signal includes multiple subsequent BLUE pulses (see Figure S4 in Supporting Information S1 for details).
There is a small pulse on the rising edge of light‐curve that distorted the fit process (See Figure S6, S7 and S8 in Supporting Information S1 for details).
The photometer signal is too noisy to be fitted (See Figure S10 in Supporting Information S1 for details).
The special multiple‐pulse case.