Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-853-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-853-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Feb 2020
Research article |
| 20 Feb 2020
| 20 Feb 2020
Concurrent satellite and ground-based lightning observations from the Optical Lightning Imaging Sensor (ISS-LIS), the low-frequency network Meteorage and the SAETTA Lightning Mapping Array (LMA) in the northwestern Mediterranean region
Felix Erdmann
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Eric Defer
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
Olivier Caumont
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Richard J. Blakeslee
NASA George C. Marshall Space Flight Center/NSSTC, Huntsville, AL, USA
Stéphane Pédeboy
Météorage, Pau,
2 avenue du Président Pierre Angot – CS 8011
64053 Pau CEDEX 9, France
Sylvain Coquillat
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
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Cited
18 citations as recorded by crossref.
- The Expression Profiles of Angio-miRs in Glioblastomas Invasion Inhibited by Ruxolitinib E. DELEN & O. DOĞANLAR 10.4274/nkmj.galenos.2021.25238
- Identification of cloud-to-ground lightning and intra-cloud lightning based on their radiated electric field signatures using different types of neural networks and machine learning classifiers G. Karnas et al. 10.1016/j.asoc.2024.111643
- Lightning duration and area from geostationary Lightning Mapping Imager based on a modified lightning cluster algorithm Y. Ao et al. 10.1016/j.atmosres.2024.107349
- A Geostationary Lightning Pseudo-Observation Generator Utilizing Low-Frequency Ground-Based Lightning Observations F. Erdmann et al. 10.1175/JTECH-D-20-0160.1
- Role of Lightning NOx in Ozone Formation: A Review S. Verma et al. 10.1007/s00024-021-02710-5
- Spatiotemporal Variability of Lightning Activity over the Railway Network in Sri Lanka with Special Attention to the Proposed Suburban Railway Electrification Network U. Maduranga et al. 10.3390/infrastructures7070092
- Investigating the Role of Extreme Synoptic Patterns and Complex Topography During Two Heavy Rainfall Events in Crete in February 2019 K. Lagouvardos et al. 10.3390/cli8070087
- Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS) D. Poelman & W. Schulz 10.5194/amt-13-2965-2020
- Comparison of High‐Speed Optical Observations of a Lightning Flash From Space and the Ground O. van der Velde et al. 10.1029/2020EA001249
- A Simultaneous Observation of Lightning by ASIM, Colombia‐Lightning Mapping Array, GLM, and ISS‐LIS J. Montanyà et al. 10.1029/2020JD033735
- Improving the lightning forecast with the WRF model and lightning data assimilation: Results of a two-seasons numerical experiment over Italy S. Federico et al. 10.1016/j.atmosres.2024.107382
- Overview of Lightning Trend and Recent Lightning Variability over Sri Lanka V. Kalapuge et al. 10.3390/ijgi12020067
- Assessment of model time step and domain resolution of WRF model to simulate the lightning over Bihar and Rajasthan, India A. Kumar et al. 10.1007/s40808-023-01724-3
- Evaluation of the convection permitting regional climate model CNRM-AROME on the orographically complex island of Corsica V. Cortés-Hernández et al. 10.1007/s00382-024-07232-z
- Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept F. Erdmann et al. 10.5194/nhess-23-2821-2023
- Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. 10.5194/amt-16-5811-2023
- 3D Monte-Carlo simulations of lightning optical waveforms and images observable by on-board operational instruments A. Rimboud et al. 10.1016/j.jqsrt.2024.108950
- Three Years of the Lightning Imaging Sensor Onboard the International Space Station: Expanded Global Coverage and Enhanced Applications R. Blakeslee et al. 10.1029/2020JD032918
18 citations as recorded by crossref.
- The Expression Profiles of Angio-miRs in Glioblastomas Invasion Inhibited by Ruxolitinib E. DELEN & O. DOĞANLAR 10.4274/nkmj.galenos.2021.25238
- Identification of cloud-to-ground lightning and intra-cloud lightning based on their radiated electric field signatures using different types of neural networks and machine learning classifiers G. Karnas et al. 10.1016/j.asoc.2024.111643
- Lightning duration and area from geostationary Lightning Mapping Imager based on a modified lightning cluster algorithm Y. Ao et al. 10.1016/j.atmosres.2024.107349
- A Geostationary Lightning Pseudo-Observation Generator Utilizing Low-Frequency Ground-Based Lightning Observations F. Erdmann et al. 10.1175/JTECH-D-20-0160.1
- Role of Lightning NOx in Ozone Formation: A Review S. Verma et al. 10.1007/s00024-021-02710-5
- Spatiotemporal Variability of Lightning Activity over the Railway Network in Sri Lanka with Special Attention to the Proposed Suburban Railway Electrification Network U. Maduranga et al. 10.3390/infrastructures7070092
- Investigating the Role of Extreme Synoptic Patterns and Complex Topography During Two Heavy Rainfall Events in Crete in February 2019 K. Lagouvardos et al. 10.3390/cli8070087
- Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS) D. Poelman & W. Schulz 10.5194/amt-13-2965-2020
- Comparison of High‐Speed Optical Observations of a Lightning Flash From Space and the Ground O. van der Velde et al. 10.1029/2020EA001249
- A Simultaneous Observation of Lightning by ASIM, Colombia‐Lightning Mapping Array, GLM, and ISS‐LIS J. Montanyà et al. 10.1029/2020JD033735
- Improving the lightning forecast with the WRF model and lightning data assimilation: Results of a two-seasons numerical experiment over Italy S. Federico et al. 10.1016/j.atmosres.2024.107382
- Overview of Lightning Trend and Recent Lightning Variability over Sri Lanka V. Kalapuge et al. 10.3390/ijgi12020067
- Assessment of model time step and domain resolution of WRF model to simulate the lightning over Bihar and Rajasthan, India A. Kumar et al. 10.1007/s40808-023-01724-3
- Evaluation of the convection permitting regional climate model CNRM-AROME on the orographically complex island of Corsica V. Cortés-Hernández et al. 10.1007/s00382-024-07232-z
- Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept F. Erdmann et al. 10.5194/nhess-23-2821-2023
- Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. 10.5194/amt-16-5811-2023
- 3D Monte-Carlo simulations of lightning optical waveforms and images observable by on-board operational instruments A. Rimboud et al. 10.1016/j.jqsrt.2024.108950
- Three Years of the Lightning Imaging Sensor Onboard the International Space Station: Expanded Global Coverage and Enhanced Applications R. Blakeslee et al. 10.1029/2020JD032918
Latest update: 10 Dec 2024
Short summary
This article compares lightning observations from an optical sensor onboard the International Space Station to two ground-based networks using different radio frequencies. The location and timing of coincident flashes agree well for the three instruments. Differences exist for the detected number of flashes and the characteristics. Small flashes in particular are not always detected by all three instruments. About half of the flashes at altitudes below 10 km are not seen by the satellite sensor.
This article compares lightning observations from an optical sensor onboard the International...
