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304 results for “lightning”
Long Wavelength Array observations of lightning 20210703_001515
<p>Raw data observations of a nearby intra-cloud lightning flash from the Long Wavelength Array (LWA), a VHF radio telescope array in Sevilleta New Mexico. The flash happened on 2021/07/03 at 00:15:15 UT nearly overhead of the array. The dataset contains frequency domain observations from 256 dual polarization antennas in the format provided by the telescope (no post-processing has been done). </p> <p>Code to image the raw observations available at https://github.com/mikestock/lwali</p> <p>An animation of this flash is available at https://vimeo.com/lightninginterferometry/lwa-20210703-001515</p>
Initiation Process of a Winter Cloud-to-Ground Lightning Flash
<p>Lightning location results data. This dataset includes complete data, which means it has not undergone quality control. The time needs to be subtracted from the corresponding paper (Initiation Process of a Winter Cloud-to-Ground Lightning Flash) by 1.165ms.</p>
VNMPF-LIS: Validation Network Multiplatform Precipitation Feature (VNMPF) Dataset with International Space Station Lightning Imaging Sensor (ISS LIS) Data
<p>The Multiplatform Precipitation Feature (MPF) database combines ground- and space-based precipitation observations and retrievals from the Global Precipitation Measurement (GPM) mission Validation Network (VN) with space-based lightning measurements from the Lightning Imaging Sensor on board the International Space Station (ISS LIS). The data are synthesized in a thunderstorm-like, feature-based framework that encapsulates the microphysical, kinematic, and electrical properties of the observed storm.<br> <br> A VNMPF includes:</p> <p>- Radar information, GPM orbit, and ISS orbit <br> - Time/date information<br> - Geographical information<br> - Radar reflectivity characteristics<br> - Lightning energetic and identification information (where there is lightning)<br> - 3-dimensional wind information (where radars in dual-Doppler configuration are available)<br> <br> Version 1: 2017-2020</p> <p>Version 2: 2017-2022, updated VN winds </p>
Data for the publication "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization"
<p>This dataset includes a set of 11yr simulations using the MIROC6 global aerosol-climate model under the pre-industrial (PI, aerosol emission at the year 1850), present-day (PD, aerosol emission at the year 2000), and future warming (SST+4K, a uniform 4 K increase in sea surface temperature) conditions.</p> <p>The data are used in the manuscript entitled "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization".</p>
FlashNet: AI framework for lightning forecasts
<p>This repository contains the code and a subset of the data used in:<br> "AI vs fully-deterministic algorithms: unraveling the dilemma for lightning prediction in the medium-range forecast horizon" by Mattia Cavaiola, Federico Cassola, Davide Secchetti, Francesco Ferrari, and Andrea Mazzino</p>
Locations and Time of Alaska Lightning Strikes 1986-2010
This dataset contains locations and time of1986-2010 lightning strikes recorded by a lightning strike detector network and downloaded from the alaska fire service. The data consists of 1,454,279 lightning locations as GIS points.
Soil Characteristics Following a Lightning-Initiated Fire at MacKenzie Flats, Sevilleta National Wildlife Refuge, New Mexico (1998)
We evaluated soil characteristics after a lightning-initiated fire. Following the fire in July 1998, 25 experimental plots were established on the eastern edge of MacKenzie Flats at the Sevilleta National Wildlife Refuge. Ten of these plots were located in a Bouteloua gracilis (blue grama)-dominated site, while 15 were established in another area dominated by Bouteloua eriopoda (black grama). All plots were oriented along a topographic gradient that ran in an east-west direction. At three topographic locations within each plot, soil samples were taken at two depths from an area covered by perennial grass as well as an area devoid of vegetation. Soil samples were collected in July 1998 and analyzed for moisture content and soil texture.
New Methods in Monte Carlo Lightning Simulations: data for inhomogeneous simulations
<p>This is the ncdf file output from the WRF supercell simulation. This file is produced using the WRF version 3.9.1.1 with the storm electrification package. This data is used in the article "New Methods in Monte Carlo Lightning Simulations" to create an inhomogeneous microphysical profile for simulations.</p>
Lightning-caused disturbance in the Peruvian Amazon
<p>Lightning is a major agent of disturbance in tropical terrestrial ecosystems, but its effects often are overlooked or misidentified in lowland forests. We used an <a>unmanned</a> aerial vehicle (i.e., drone) to locate 12 probable lightning strike sites in ca. 47 ha of forest in the Peruvian Amazon. Subsequent ground-based surveys of the 10 accessible sites revealed 7 that were unambiguously caused by lightning. The seven sites included 121 lightning-damaged trees, 45 of which were dead. Large trees (>60 cm in diameter) were disproportionately affected by lightning. The numbers of trees damaged and their size distribution were comparable to results from a comprehensive study of lightning damage in Panama. By contrast, post hoc surveys of lightning gaps in Brazil and Malaysia documented 3-5 times more dead trees per strike, suggesting that gap-focused surveys are biased towards larger disturbances. These findings contribute to a growing body of evidence that lightning is an important disturbance pantropically, and that accurately documenting the effects of lightning requires reliable identification of lightning strike locations.</p>
Dataset: Radio Frequency Characteristics of Volcanic Lightning
<p>This data set contains broadband VHF waveforms of vent discharges and volcanic lightning<br> flashes collected during an explosive eruption of Sakurajima volcano in Japan on November 8,<br> 2019. Each file in the dataset is a 3 microsecond waveform. The amplitude values of the<br> waveform are in arbitrary voltage units. The sampling rate is 180 MS/s. There are two tar<br> archive files included in this data set: one for all of the vent discharge waveforms and one for all<br> of the flash waveforms. The UTC time of the waveform, corresponding to the time of the peak<br> of the waveform is included in each file name in the tar archives. The UTC time is given as<br> seconds of the day on November 8, 2020.</p>
Enhancement of cloud-to-ground lightning activity caused by the urban effect: a case study in the Beijing metropolitan area
<p>The dataset here includes land-surface temperature, wind field, precipitation, UV aerosol index, and lightning information analyzed in the paper "<strong>Enhancement of cloud-to-ground lightning activity </strong><strong>caused by the urban effect: a case study in</strong> <strong>the Beijing metropolitan area</strong>".</p>
Characteristics of the initial stage and return stroke currents of rocket-triggered lightning flashes in southern China
<p>This study investigates the initial stage (IS) and return stroke (RS) currents of 50 triggered lightning flashes (TLFs) that were conducted in southern China. The IS of the negative TLFs has a longer duration, and larger average current, charge transfer, and action integral than those reported elsewhere, with geometric means (GMs) of 347.9 ms, 132.5 A, 45.1 C, and 10.0 × 10<sup>3</sup> A<sup>2</sup> s, respectively. Two positive TLFs containing no RS have much greater average currents, charge transfers, and action integrals in the IS when compared with the negative TLFs. The RS has a greater peak current (17.2 kA; GM, same to below), charge transfer within 1 ms (1.3 C), and action integral within 1 ms (5.8 × 10<sup>3</sup> A<sup>2</sup> s), and shorter 10% to 90% rise time (0.4 μs) than elsewhere. The peak current is prominently correlated with the rate of rise, charge transfer within 1 ms, and action integral within 1 ms. Furthermore, when the total duration of the RS and any following continuing currents is longer than 40 ms, the peak current, charge transfer within 1 ms, and action integral within 1 ms of the RS are seldom greater than 25 kA, 2.6 C, and 15 × 10<sup>3</sup> A<sup>2</sup> s, respectively. It is indicated that TLFs containing RSs tend to have a longer duration but a smaller charge transfer during the IS than those without RS. The peak current of the RS is weakly correlated with its preceding silence period when there was no channel base current.</p>
Preliminary Breakdown Process of Winter Positive Cloud-to-Ground Lightning Flash and Its relation to the Following First Return Stroke
<p>The file <em>+CG statistics.xlsx</em> contains various statistical parameters for 60 +CG events.</p> <p>The files <em>3D_UPB.dat</em>, <em>3D_DPB.dat</em>, <em>3D_IRPB1.dat</em>, and <em>3D_IRPB2.dat</em> provide the 3D location results for the four example events discussed in the main text. Each file includes data organized in four lines, representing time (ms), x (m), y (m), and z (m), respectively.</p> <p><strong> </strong></p>
Subnanosecond-electromagnetic-pulse-generated-by-a-long-spark-discharge:-Lightning-implication-data
<p><strong>Data description</strong></p><p>The data is used in the paper "Subnanosecond electromagnetic pulse generated by a long spark discharge: Lightning implication" (M. Gushchin et. al.) submitted in December 2023 in Geophysical Research Letters. Two types of files are presented. First are photos stored in "png" format. Second are waveforms stored in text files. First column is time and second is value. The delimiter is ";".</p><p><strong>Data is used in second figure</strong></p><p>Figure_2a.png -- Photo of the the appearance and growth of leaders with their streamer zones from the upper (HV) electrode</p><p>Figure_2b.png – First flash on the lower (grounded) electrode.</p><p>Figure_2c.png -- Common streamer zone formation after the upward leader starts.</p><p>Figure_2d.png -- Current increase in downward and upward leader channels, reduction in the size of the common streamer zone.</p><p>Figure_2e.png -- Discharge main stage.</p><p>Figure_2f_curve_1.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2a.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_2.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2b.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_3.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2c.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_4.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2e.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_5.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2f.png" photo. Time unit is mks, value unit is a.u.</p><p><strong>Data is used in third figure</strong></p><p>Figure_3b_curve1.dat -- The power waveform from RF analyzer f0 = 6 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve2.dat -- The power waveform from RF analyzer f0 = 5.5 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve3.dat -- The power waveform from RF analyzer f0 = 4.5 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve4.dat -- The power waveform from RF analyzer f0 = 3.5 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve5.dat -- The power waveform from RF analyzer f0 = 2 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve6.dat -- The power waveform from RF analyzer f0 = 1 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3a_curve1.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve1.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve2.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve2.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve3.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve3.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve4.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve4.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve5.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve5.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve6.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve6.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3c.dat -- Waveform obtained using TEMH. Time unit is mks, value unit is V/m.</p><p>Figure_3d.dat – Detailed waveform obtained using TEMH. Time unit is ns, value unit is V/m.</p><p> </p><p><strong>Data is used in fourth figure</strong></p><p>Figure_4b_curve_1.dat – TPMP waveform obtained during calibration. Time unit is ns, value unit is A/m.</p><p>Figure_4b_curve_2.dat – IPPL waveform obtained during calibration. Time unit is ns, value unit is E/m.</p><p>Figure_4c_curve_1.dat – TEMH waveform obtained in shot #104 at 12-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4c_curve_2.dat – IPPL waveform obtained in shot #104 at 12-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4d_curve_1.dat – TEMH waveform obtained in shot #19 at 13-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4d_curve_2.dat – IPPL waveform obtained in shot #19 at 13-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4e_curve_1.dat – TPMP waveform obtained in shot #19 at 25-sept-23. Time unit is ns, value unit is A/m.</p><p>Figure_4e_curve_2.dat – IPPL waveform obtained in shot #19 at 25-sept-23. Time unit is ns, value unit is E/m.</p><p>Figure_4f_curve_1.dat – TPMP waveform obtained in shot #2 at 27-sept-23. Time unit is ns, value unit is A/m.</p><p>Figure_4f_curve_2.dat – IPPL waveform obtained in shot #2 at 27-sept-23. Time unit is ns, value unit is E/m.</p><p><strong>Data is used in fifth figure.</strong></p><p>Figure_5a.png – The photo of negative discharge</p><p>Figure_5b.dat -- Waveform from a capacitive probe. Time units is mks, value units is a.u.</p><p>Figure_5c.dat -- The power waveform from RF analyzer f0 = 0.98 GHz, df = 40 MHz obtained simultaneously with Figure_5b.dat. Time unit is mks, value unit is dB. </p><p>Figure_5d.dat -- UWB EMP waveform obtained using TEMH obtained simultaneously with Figure_5c.dat. Time unit is ns, value unit is V/m.</p>
Related data of CG lightning attachment process
<p>More and more optical records have exhibited that multiple upward leaders (MULs) occur frequently on a structure in the flash attachment process. An interesting issue is why a structure can continue to launch an upward leader (UL) after the first one appears. This phenomenon is analyzed in the present paper. Considering the influence of the leader behaviors on the ambient electric field, an improved 3-D fine-resolution lightning attachment model with MULs is established to simulate cloud-to-ground flash events with diverse leader spatial morphologies. The simulation results show that MULs may initiate almost simultaneously or with an obvious delay and the variation range of UL length is large. From this, the flash events of lightning terminating on a structure are divided into four scenarios and each scenario is analyzed. It can be found that the spatial location of the downward leader, the length and propagation direction of the first UL and the time interval from the inception of the first UL to final jump significantly affect the electric fields at top corners of structure and further affect the inception of the second UL. Based on qualitative analysis, four factors are proposed to explain why the above four scenarios happen.</p>
Lightning Brothers Site
Wardaman Country Panel, Australia. From mages by Robert Mark, Evelyn Billo, and Margret Berrier. Source: Objaverse 1.0 / Sketchfab
Lightning Prediction in the Tehran Region Using the WRF Model with Multiple Physical Parameterizations and an Ensemble Approach
<p><span>The Grid Analysis and Display System (</span>GrADS)<span> </span><span>and</span><span> </span><span>Python</span><span> </span><span>scripts and the output data from simulations that we used in this study.</span></p>
Goede et al 2024 - Rapid Sampling and Polarimetric Statistics of Lightning with a Phased Array Radar
Open the record for dataset details and reuse information.
Lightning Declines Over Shipping Lanes Follow Regulation of Fuel Sulfur: Data Analysis
Open the record for dataset details and reuse information.
Abnormal Upward Attempted Leaders Before the First Return Stroke of a Rocket-triggered Lightning Flash
<p><span>The electric field and optical data</span></p>
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OpenNeuro
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