Three Years of the Lightning Imaging Sensor Onboard the International Space Station: Expanded Global Coverage and Enhanced Applications Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1029/2020jd032918
The Lightning Imaging Sensor (LIS) was launched to the International Space Station (ISS) in February 2017, detecting optical signatures of lightning with storm‐scale horizontal resolution during both day and night. ISS LIS data are available beginning 1 March 2017. Millisecond timing allows detailed intercalibration and validation with other spaceborne and ground‐based lightning sensors. Initial comparisons with those other sensors suggest flash detection efficiency around 60% (diurnal variability of 51–75%), false alarm rate under 5%, timing accuracy better than 2 ms, and horizontal location accuracy around 3 km. The spatially uniform flash detection capability of ISS LIS from low‐Earth orbit allows assessment of spatially varying flash detection efficiency for other sensors and networks, particularly the Geostationary Lightning Mappers. ISS LIS provides research data suitable for investigations of lightning physics, climatology, thunderstorm processes, and atmospheric composition, as well as real‐time lightning data for operational forecasting and aviation weather interests. ISS LIS enables enrichment and extension of the long‐term global climatology of lightning from space and is the only recent platform that extends the global record to higher latitudes (±55°). The global spatial distribution of lightning from ISS LIS is broadly similar to previous data sets, with globally averaged seasonal/annual flash rates about 5–10% lower. This difference is likely due to reduced flash detection efficiency that will be mitigated in future ISS LIS data processing, as well as the shorter ISS LIS period of record. The expected land/ocean contrast in the diurnal variability of global lightning is also observed.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2020jd032918
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020JD032918
- OA Status
- hybrid
- Cited By
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- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3034228486Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1029/2020jd032918Digital Object Identifier
- Title
-
Three Years of the Lightning Imaging Sensor Onboard the International Space Station: Expanded Global Coverage and Enhanced ApplicationsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-07-30Full publication date if available
- Authors
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Richard J. Blakeslee, Timothy J. Lang, William J. Koshak, Dennis E. Buechler, Patrick Gatlin, Douglas M. Mach, Geoffrey T. Stano, Katrina S. Virts, T. Daniel Walker, Daniel J. Cecil, Will Ellett, Steven J. Goodman, Sherry Harrison, Donald Lamar Hawkins, Matthias Heumesser, Hong Lin, Manil Maskey, Christopher J. Schultz, Michael Stewart, Monte G. Bateman, Olivier Chanrion, Hugh J. ChristianList of authors in order
- Landing page
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https://doi.org/10.1029/2020jd032918Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020JD032918Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020JD032918Direct OA link when available
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International Space Station, Lightning (connector), Remote sensing, Meteorology, Computer science, Aeronautics, Environmental science, Telecommunications, Aerospace engineering, Geography, Engineering, Physics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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146Total citation count in OpenAlex
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2025: 22, 2024: 26, 2023: 34, 2022: 23, 2021: 31Per-year citation counts (last 5 years)
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74Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.the | 9, 114, 155, 165, 171, 226, 238 |
| abstract_inverted_index.was | 6 |
| abstract_inverted_index.This | 203 |
| abstract_inverted_index.also | 245 |
| abstract_inverted_index.both | 27 |
| abstract_inverted_index.data | 33, 122, 140, 192, 221 |
| abstract_inverted_index.from | 97, 161, 184 |
| abstract_inverted_index.only | 166 |
| abstract_inverted_index.rate | 72 |
| abstract_inverted_index.than | 78 |
| abstract_inverted_index.that | 169, 213 |
| abstract_inverted_index.well | 136, 224 |
| abstract_inverted_index.will | 214 |
| abstract_inverted_index.with | 22, 47, 56, 194 |
| abstract_inverted_index.(ISS) | 13 |
| abstract_inverted_index.(LIS) | 5 |
| abstract_inverted_index.2017, | 16 |
| abstract_inverted_index.2017. | 39 |
| abstract_inverted_index.March | 38 |
| abstract_inverted_index.Space | 11 |
| abstract_inverted_index.about | 200 |
| abstract_inverted_index.alarm | 71 |
| abstract_inverted_index.false | 70 |
| abstract_inverted_index.flash | 61, 91, 105, 198, 210 |
| abstract_inverted_index.orbit | 99 |
| abstract_inverted_index.other | 48, 58, 109 |
| abstract_inverted_index.rates | 199 |
| abstract_inverted_index.sets, | 193 |
| abstract_inverted_index.space | 162 |
| abstract_inverted_index.those | 57 |
| abstract_inverted_index.under | 73 |
| abstract_inverted_index.Sensor | 4 |
| abstract_inverted_index.allows | 42, 100 |
| abstract_inverted_index.around | 64, 85 |
| abstract_inverted_index.better | 77 |
| abstract_inverted_index.during | 26 |
| abstract_inverted_index.future | 218 |
| abstract_inverted_index.global | 157, 172, 179, 242 |
| abstract_inverted_index.higher | 175 |
| abstract_inverted_index.likely | 206 |
| abstract_inverted_index.lower. | 202 |
| abstract_inverted_index.night. | 30 |
| abstract_inverted_index.period | 230 |
| abstract_inverted_index.recent | 167 |
| abstract_inverted_index.record | 173 |
| abstract_inverted_index.timing | 41, 75 |
| abstract_inverted_index.5–10% | 201 |
| abstract_inverted_index.Imaging | 3 |
| abstract_inverted_index.Initial | 54 |
| abstract_inverted_index.Station | 12 |
| abstract_inverted_index.broadly | 188 |
| abstract_inverted_index.diurnal | 239 |
| abstract_inverted_index.enables | 150 |
| abstract_inverted_index.extends | 170 |
| abstract_inverted_index.optical | 18 |
| abstract_inverted_index.record. | 232 |
| abstract_inverted_index.reduced | 209 |
| abstract_inverted_index.sensors | 59, 110 |
| abstract_inverted_index.shorter | 227 |
| abstract_inverted_index.similar | 189 |
| abstract_inverted_index.spatial | 180 |
| abstract_inverted_index.suggest | 60 |
| abstract_inverted_index.uniform | 90 |
| abstract_inverted_index.varying | 104 |
| abstract_inverted_index.weather | 146 |
| abstract_inverted_index.(diurnal | 66 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.February | 15 |
| abstract_inverted_index.Mappers. | 117 |
| abstract_inverted_index.accuracy | 76, 84 |
| abstract_inverted_index.averaged | 196 |
| abstract_inverted_index.aviation | 145 |
| abstract_inverted_index.contrast | 236 |
| abstract_inverted_index.detailed | 43 |
| abstract_inverted_index.expected | 234 |
| abstract_inverted_index.globally | 195 |
| abstract_inverted_index.launched | 7 |
| abstract_inverted_index.location | 83 |
| abstract_inverted_index.physics, | 128 |
| abstract_inverted_index.platform | 168 |
| abstract_inverted_index.previous | 191 |
| abstract_inverted_index.provides | 120 |
| abstract_inverted_index.research | 121 |
| abstract_inverted_index.sensors. | 53 |
| abstract_inverted_index.suitable | 123 |
| abstract_inverted_index.(±55°). | 177 |
| abstract_inverted_index.Lightning | 2, 116 |
| abstract_inverted_index.available | 35 |
| abstract_inverted_index.beginning | 36 |
| abstract_inverted_index.detecting | 17 |
| abstract_inverted_index.detection | 62, 92, 106, 211 |
| abstract_inverted_index.extension | 153 |
| abstract_inverted_index.latitudes | 176 |
| abstract_inverted_index.lightning | 21, 52, 127, 139, 160, 183, 243 |
| abstract_inverted_index.mitigated | 216 |
| abstract_inverted_index.networks, | 112 |
| abstract_inverted_index.observed. | 246 |
| abstract_inverted_index.spatially | 89, 103 |
| abstract_inverted_index.51–75%), | 69 |
| abstract_inverted_index.assessment | 101 |
| abstract_inverted_index.capability | 93 |
| abstract_inverted_index.difference | 204 |
| abstract_inverted_index.efficiency | 63, 107, 212 |
| abstract_inverted_index.enrichment | 151 |
| abstract_inverted_index.horizontal | 24, 82 |
| abstract_inverted_index.interests. | 147 |
| abstract_inverted_index.land/ocean | 235 |
| abstract_inverted_index.processes, | 131 |
| abstract_inverted_index.resolution | 25 |
| abstract_inverted_index.signatures | 19 |
| abstract_inverted_index.spaceborne | 49 |
| abstract_inverted_index.validation | 46 |
| abstract_inverted_index.Millisecond | 40 |
| abstract_inverted_index.atmospheric | 133 |
| abstract_inverted_index.climatology | 158 |
| abstract_inverted_index.comparisons | 55 |
| abstract_inverted_index.forecasting | 143 |
| abstract_inverted_index.long‐term | 156 |
| abstract_inverted_index.low‐Earth | 98 |
| abstract_inverted_index.operational | 142 |
| abstract_inverted_index.processing, | 222 |
| abstract_inverted_index.real‐time | 138 |
| abstract_inverted_index.variability | 67, 240 |
| abstract_inverted_index.climatology, | 129 |
| abstract_inverted_index.composition, | 134 |
| abstract_inverted_index.distribution | 181 |
| abstract_inverted_index.particularly | 113 |
| abstract_inverted_index.thunderstorm | 130 |
| abstract_inverted_index.Geostationary | 115 |
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| abstract_inverted_index.ground‐based | 51 |
| abstract_inverted_index.investigations | 125 |
| abstract_inverted_index.seasonal/annual | 197 |
| abstract_inverted_index.intercalibration | 44 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5090863264 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 22 |
| corresponding_institution_ids | https://openalex.org/I1294504835 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.99439994 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |