Atmospheric Lightning as Essential Climate Variable (ECV) and Its Availability Over India Using NRSC/ISRO Lightning Detection Sensor Network Article Swipe
Alok Taori
,
Arun Suryavanshi
,
Biswadip Gharai
,
M. V. R. Seshasai
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202112.0183.v1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202112.0183.v1
Atmospheric lightning is an outcome of extreme complex physical processes occurring in the atmosphere. Cloud-to-ground (CG) lightning is considered as a natural disaster. Understanding the importance of CG lightning and implication of the lightning phenomena, Global Climate Observing System (GCOS), world meteorological organization, in its report in the year 2016, introduced the lightning as an Essential Climate Variable (ECV). The present report uses the Lightning Detection Sensor Network (LDSN) established by the National Remote Sensing Centre, Indian Space Research Organization over India to generate the Lightning ECV. A use case of these ECVs are also showcased for an event in Bihar, India, when 42 deaths were reported at locations with large number of CG occurrences.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202112.0183.v1
- https://www.preprints.org/manuscript/202112.0183/v1/download
- OA Status
- green
- Cited By
- 7
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200484360
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200484360Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202112.0183.v1Digital Object Identifier
- Title
-
Atmospheric Lightning as Essential Climate Variable (ECV) and Its Availability Over India Using NRSC/ISRO Lightning Detection Sensor NetworkWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-10Full publication date if available
- Authors
-
Alok Taori, Arun Suryavanshi, Biswadip Gharai, M. V. R. SeshasaiList of authors in order
- Landing page
-
https://doi.org/10.20944/preprints202112.0183.v1Publisher landing page
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https://www.preprints.org/manuscript/202112.0183/v1/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.preprints.org/manuscript/202112.0183/v1/downloadDirect OA link when available
- Concepts
-
Lightning (connector), Meteorology, Lightning strike, Environmental science, Lightning detection, Upper-atmospheric lightning, Remote sensing, Geography, Thunderstorm, Physics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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10Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.physical | 8 |
| abstract_inverted_index.reported | 106 |
| abstract_inverted_index.Detection | 65 |
| abstract_inverted_index.Essential | 55 |
| abstract_inverted_index.Lightning | 64, 85 |
| abstract_inverted_index.Observing | 37 |
| abstract_inverted_index.disaster. | 22 |
| abstract_inverted_index.lightning | 1, 16, 28, 33, 52 |
| abstract_inverted_index.locations | 108 |
| abstract_inverted_index.occurring | 10 |
| abstract_inverted_index.processes | 9 |
| abstract_inverted_index.showcased | 95 |
| abstract_inverted_index.considered | 18 |
| abstract_inverted_index.importance | 25 |
| abstract_inverted_index.introduced | 50 |
| abstract_inverted_index.phenomena, | 34 |
| abstract_inverted_index.Atmospheric | 0 |
| abstract_inverted_index.atmosphere. | 13 |
| abstract_inverted_index.established | 69 |
| abstract_inverted_index.implication | 30 |
| abstract_inverted_index.Organization | 79 |
| abstract_inverted_index.occurrences. | 114 |
| abstract_inverted_index.Understanding | 23 |
| abstract_inverted_index.organization, | 42 |
| abstract_inverted_index.meteorological | 41 |
| abstract_inverted_index.Cloud-to-ground | 14 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.67020896 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |