29 Jul 2008
Cell-tracking with lightning data from LINET
H. D. Betz
University of Munich, Department of Physics, 85748 Garching, Germany
K. Schmidt
University of Munich, Department of Physics, 85748 Garching, Germany
W. P. Oettinger
nowcast GmbH, 81377 Munich, Germany
B. Montag
nowcast GmbH, 81377 Munich, Germany
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Cited
30 citations as recorded by crossref.
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- Comparison of different forecasting tools for short-range lightning strike risk assessment A. Bouchard et al. 10.1007/s11069-022-05546-x
- A 5-yr Climatology of Severe Convective Wind Events over China X. Yang et al. 10.1175/WAF-D-16-0101.1
- A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al. 10.3390/rs11040443
- The Emergence of Lightning in Severe Thunderstorm Prediction and the Possible Contributions from Spatial Science A. Ellis & P. Miller 10.1111/gec3.12265
- Nowcasting thunderstorms in the Mediterranean region using lightning data M. Kohn et al. 10.1016/j.atmosres.2010.08.010
- The temporal evolution of three-dimensional lightning parameters and their suitability for thunderstorm tracking and nowcasting V. Meyer et al. 10.5194/acp-13-5151-2013
- A Novel Approach for the Global Detection and Nowcasting of Deep Convection and Thunderstorms R. Müller et al. 10.3390/rs14143372
- Real-Time Hazard Approximation of Long-Lasting Convective Storms Using Emergency Data P. Rossi et al. 10.1175/JTECH-D-11-00106.1
- An Extreme Hailstorm on 27 July 2017 in Istanbul, Turkey: Synoptic Scale Circulation and Thermodynamic Evaluation H. Baltaci et al. 10.1007/s00024-018-1841-x
- A Deep Learning Network for Cloud-to-Ground Lightning Nowcasting with Multisource Data K. Zhou et al. 10.1175/JTECH-D-19-0146.1
- Using Lightning Data to Better Understand and Predict Flash Floods in the Mediterranean C. Price et al. 10.1007/s10712-011-9146-y
- Detail study of time evolution of three thunderstorm events in Tehran area using observations and numerical simulations for lightning nowcasting A. Mahmoudian et al. 10.1007/s11069-021-04886-4
- A deep learning framework for lightning forecasting with multi‐source spatiotemporal data Y. Geng et al. 10.1002/qj.4167
- Evaluation of WRF-ELEC model to forecast lightning over the North Eastern region of India A. Srivastava et al. 10.1007/s00703-023-00977-y
- The Role of NWP Filter for the Satellite Based Detection of Cumulonimbus Clouds R. Müller et al. 10.3390/rs10030386
- Data-Driven Prediction of Severe Convection at Deutscher Wetterdienst (DWD): A Brief Overview of Recent Developments R. Müller & A. Barleben 10.3390/atmos15040499
- Statistical Characteristics of Thunderstorm Activity in the Middle Reaches of the Yangtze River Basin Based on a Five‐Year Cloud‐To‐Ground Lighting Data Set Q. Wei et al. 10.1029/2023GL106498
- LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation X. Zhou et al. 10.1007/s10489-021-03089-5
- Thunderstorm Activity over the Qinghai–Tibet Plateau Indicated by the Combined Data of the FY-2E Geostationary Satellite and WWLLN Y. Du et al. 10.3390/rs14122855
- End-to-End Prediction of Lightning Events from Geostationary Satellite Images S. Brodehl et al. 10.3390/rs14153760
- Multifractal Characteristics of Cloud-to-Ground Lightning Intensity Observed in AMMA-CATCH Station (Northern Benin) M. Agbazo et al. 10.1007/s42865-020-00004-7
- An Analysis of Total Lightning Flash Rates Over Florida T. Mazzetti & H. Fuelberg 10.1002/2017JD027579
- Visual Analysis for Nowcasting of Multidimensional Lightning Data S. Peters & L. Meng 10.3390/ijgi2030817
- IDENTIFICAÇÃO, MONITORAMENTO E PREVISÃO DE TEMPESTADES ELÉTRICAS UTILIZANDO MÉTODOS NUMÉRICOS M. Kleina et al. 10.1590/s1982-21702016000400034
- Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al. 10.5194/nhess-19-2635-2019
- Validation of the Meteosat storm detection and nowcasting system Cb-TRAM with lightning network data – Europe and South Africa T. Zinner et al. 10.5194/amt-6-1567-2013
- Characterising the dynamic movement of thunderstorms using very low- and low-frequency (VLF/LF) total lightning data over the Pearl River Delta region S. Cheng et al. 10.5194/acp-22-10045-2022
- Spatio-temporal clustering and density estimation of lightning data for the tracking of convective events C. Strauss et al. 10.1016/j.atmosres.2013.07.008
Latest update: 21 Nov 2024
