Jeff Lapierre
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View article: Evaluating Lightning Predictability Over Southeastern South America Using Machine Learning and CloudSat Vertical Profiles
Evaluating Lightning Predictability Over Southeastern South America Using Machine Learning and CloudSat Vertical Profiles Open
View article: Assessing the Influence of Fire Weather and Continuing Currents Detected From Space in Lightning‐Induced Fire Ignition
Assessing the Influence of Fire Weather and Continuing Currents Detected From Space in Lightning‐Induced Fire Ignition Open
Summer thunderstorms are important precursors of wildfires in the United States, accounting for a significant portion of the total burned area. Wildfire forecast systems can benefit from investigating the preferential meteorological condit…
View article: Reduction in Global Lightning Activity During the COVID Pandemic
Reduction in Global Lightning Activity During the COVID Pandemic Open
The effect of anthropogenic aerosols on lightning is one of the least understood aspects of human‐induced climate change. Global aerosol clearly diminished during the COVID pandemic by 7.6%. A pronounced decrease in global lightning activi…
View article: Continuing Current Seen Above and Below the Cloud: Comparing Observations From GLM and High‐Speed Video Cameras
Continuing Current Seen Above and Below the Cloud: Comparing Observations From GLM and High‐Speed Video Cameras Open
This study assesses the reliability and limitations of the Geostationary Lightning Mapper (GLM) in detecting continuing currents by comparing observations from ground‐based high‐speed cameras with GLM‐16 data. Our findings show that the GL…
View article: Machine Learning to predict Downbursts in Japan Based on Total Lightning and Ground Precipitation Data
Machine Learning to predict Downbursts in Japan Based on Total Lightning and Ground Precipitation Data Open
In this study, using total lightning data from the Japan Total Lightning Network (JTLN) and precipitation data from X-band MP radar, machine learning with a Random Forest model was used to successfully classify the occurrence of downbursts…
View article: Investigating Storm Charge Distribution Trends with Intracloud Lightning Polarity Data
Investigating Storm Charge Distribution Trends with Intracloud Lightning Polarity Data Open
There are, at present, two accepted primary paradigms for thunderstorm charge distribution using a simple tripole model: “normal” polarity storms, which are characterized by a central negative charge region, an upper positive c…
View article: Cloud Microphysical Characteristics Associated with Blue Corona Discharges at thundercloud tops
Cloud Microphysical Characteristics Associated with Blue Corona Discharges at thundercloud tops Open
Blue corona discharges are bursts of streamer discharges often observed at the top of thunderclouds, but the conditions in the clouds that generate them are not well understood.The cloud microphysical parameters related to them are importa…
View article: Mountaintop Gamma Ray Observations of Three Terrestrial Gamma‐Ray Flashes at the Säntis Tower, Switzerland With Coincident Radio Waveforms
Mountaintop Gamma Ray Observations of Three Terrestrial Gamma‐Ray Flashes at the Säntis Tower, Switzerland With Coincident Radio Waveforms Open
We report on the mountain top observation of three terrestrial gamma‐ray flashes (TGFs) that occurred during the summer storm season of 2021. To our knowledge, these are the first TGFs observed in a mountaintop environment and the first pu…
View article: Two Laterally Distant TGFs From Negative Cloud‐To‐Ground Strokes in Uchinada, Japan
Two Laterally Distant TGFs From Negative Cloud‐To‐Ground Strokes in Uchinada, Japan Open
We observed two Terrestrial Gamma‐ray Flashes (TGFs) in Uchinada, Japan associated with negative cloud‐to‐ground lightning strokes exactly 1 year apart on 18 December 2020 and 2021. The events were remarkable for their lateral distance fro…
View article: Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains
Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains Open
Lightning is affected by many factors, many of which are not routinely measured, well understood, or accounted for in physical models. Several commonly used machine learning (ML) models have been applied to analyze the relationship between…
View article: Observation of Blue Corona Discharges and Cloud Microphysics in the Top of Thunderstorm Cells in Cyclone Fani
Observation of Blue Corona Discharges and Cloud Microphysics in the Top of Thunderstorm Cells in Cyclone Fani Open
Blue corona discharges are often observed at the top of thunderclouds. They are bursts of streamers, but the cloud conditions that enable them are not well known. Here we present observations by the Atmosphere‐Space Interactions Monitor (A…
View article: On the Role of Continuing Currents in Lightning‐Induced Fire Ignition
On the Role of Continuing Currents in Lightning‐Induced Fire Ignition Open
Lightning flashes are an important source of wildfires worldwide, contributing to the emission of trace gases to the atmosphere. Based on experiments and field observations, continuing currents in lightning have since a long time been prop…
View article: Mountaintop gamma ray observations of three terrestrial gamma-ray flashes at the Santis Tower, Switzerland with coincident radio waveforms
Mountaintop gamma ray observations of three terrestrial gamma-ray flashes at the Santis Tower, Switzerland with coincident radio waveforms Open
We report on the mountain top observation of three terrestrial gamma-ray flashes (TGFs) that occurred during the summer storm season of 2021. To our knowledge, these are the first TGFs observed in a mountaintop environment and the first pu…
View article: Lightning Rings and Gravity Waves: Insights Into the Giant Eruption Plume From Tonga's Hunga Volcano on 15 January 2022
Lightning Rings and Gravity Waves: Insights Into the Giant Eruption Plume From Tonga's Hunga Volcano on 15 January 2022 Open
On 15 January 2022, Hunga Volcano in Tonga produced the most violent eruption in the modern satellite era, sending a water‐rich plume at least 58 km high. Using a combination of satellite‐ and ground‐based sensors, we investigate the aston…
View article: Comment on egusphere-2023-1020
Comment on egusphere-2023-1020 Open
Abstract. Lightning is affected by many factors, many of which are not routinely measured, well understood, or accounted for in physical models. Machine learning (ML) excels in exploring and revealing complex relationships…
View article: Machine Learning based investigation of the variables affecting summertime lightning frequency over the Southern Great Plains
Machine Learning based investigation of the variables affecting summertime lightning frequency over the Southern Great Plains Open
Lightning is affected by many factors, many of which are not routinely measured, well understood, or accounted for in physical models. Machine learning (ML) excels in exploring and revealing complex relationships between meteorological var…
View article: Day‐To‐Day Quantification of Changes in Global Lightning Activity Based on Schumann Resonances
Day‐To‐Day Quantification of Changes in Global Lightning Activity Based on Schumann Resonances Open
The importance of lightning has long been recognized from the point of view of climate‐related phenomena. However, the detailed investigation of lightning on global scales is currently hindered by the incomplete and spatially uneven detect…
View article: Observations of Elves and Radio Wave Perturbations by Intense Lightning
Observations of Elves and Radio Wave Perturbations by Intense Lightning Open
Electromagnetic pulses (EMPs) and quasi‐static electric fields (QE) from powerful lightning heat and ionize the lower ionosphere. The EMP disturbance may appear as an elve at ∼80–95 km altitude, and the QE field as a halo or a sprite at ∼6…
View article: Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022
Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022 Open
This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which…
View article: Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022
Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022 Open
This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which…
View article: Earth Networks Lightning System Update
Earth Networks Lightning System Update Open
Global lightning location data has long been a critical tool for lightning research and safety. The Earth Networks Total Lightning Network (TLN) incorporates advanced lightning location technology delivering competitive lightning detection…
View article: A Schumann Resonance-based Quantity for Characterizing Day-to-day Changes in Global Lightning Activity
A Schumann Resonance-based Quantity for Characterizing Day-to-day Changes in Global Lightning Activity Open
The importance of lightning has long been recognized from the point of view of climate-related phenomena. However, the detailed investigation of lightning on global scales is currently hindered by the incomplete and spatially uneven detect…
View article: Detecting Narrow Bipolar Events on a Global Scale with Machine Learning
Detecting Narrow Bipolar Events on a Global Scale with Machine Learning Open
A machine-learning classification algorithm was developed to classify compact intracloud discharges (CIDs), also known as narrow bipolar events (NBEs), based on electric field waveforms recorded by Earth Networks Total Lightning Network (E…
View article: Total Lightning Distribution and Heavy Rainfall Characteristics Associated With Multicellular Thunderstorms
Total Lightning Distribution and Heavy Rainfall Characteristics Associated With Multicellular Thunderstorms Open
Recently, detailed spatio-temporal analysis, using X-band multi-parameter radar-derived 3D volume scan and total lightning data in Japan, have shown the peak IC (In-Cloud lightning) occurs 5-10 mins prior to maximum ground precipitation fo…
View article: Prediction of Downbursts Using Machine Learning of Total Lightning and Ground Precipitation Data in Japan
Prediction of Downbursts Using Machine Learning of Total Lightning and Ground Precipitation Data in Japan Open
In recent years, lightning discharges are expected to be applied to the prediction of extreme weather events.In this study, using total lightning data from the Japan Total Lightning Network (JTLN) and precipitation data from X-band MP rada…
View article: Updates to the Earth Networks Total Lightning Network
Updates to the Earth Networks Total Lightning Network Open
The Earth Networks Total Lightning Network (ENTLN) incorporates advanced lightning location technology to deliver competitive lightning detection efficiency, location accuracy, and classification.It consists of over 1800 wideband sensors d…
View article: Observation of corona discharges and cloud microphysics at the top of thunderstorm cells in cyclone Fani
Observation of corona discharges and cloud microphysics at the top of thunderstorm cells in cyclone Fani Open
Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Geophysical Research Letters. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn mo…
View article: Analyzing lightning characteristics in central and southern South America
Analyzing lightning characteristics in central and southern South America Open
Lightning data has become an integral part of weather observation and has been shown to be an effective tool for alerting and nowcasting. The Earth Networks Total Lightning Network (ENTLN) is a global lightning detection network establishe…
View article: Data for JGR article: Observations of elves and radio wave perturbations by intese lightning
Data for JGR article: Observations of elves and radio wave perturbations by intese lightning Open
This folder contains data used for the journal paper: Observations of elves and radio wave perturbations by lightning
View article: Data for JGR article: Observations of elves and radio wave perturbations by intese lightning
Data for JGR article: Observations of elves and radio wave perturbations by intese lightning Open
This folder contains data used for the journal paper: Observations of elves and radio wave perturbations by lightning