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Description

The Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data dataset was collected by the LIS instrument mounted on the ISS and are used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions. This dataset consists of quality controlled science data. This data collection can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. The data are available in both HDF-4 and netCDF-4 formats, with corresponding browse images in GIF format.

Product Summary

Platforms
ISS
Instruments
LIS
Spatial Extent

N: 55 S: -55 E: 180 W: -180

Location
TROPICS
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2017-03-01 to 2023-11-16
Data Partner
Global Hydrometeorology Resource Center, Marshall Space Flight Center, NASA (NASA/MSFC/GHRC)
Concept ID
C2303212754-GHRC_DAAC
Data State
ACTIVE
Number of Files/Granules
72776
Processing Level
2
Published
Updated
Science Keywords
Lightning

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Lang, T. (2025). Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data V2 [Data set]. NASA Global Hydrometeorology Resource Center Distributed Active Archive Center. https://doi.org/10.5067/LIS/ISSLIS/DATA111 Date Accessed: 2026-05-13

Documents

SHOWING 1 OF 1

Publications Citing This Dataset

Filters
Title Year Author Topic
Analysis of South Atlantic Anomaly Influence on Low-Earth Orbit Clark, A. G., Lang, T. J., Fung, S., Mach, D., Buechler, D. E., Cecil, D. J. Lightning, Lightning
Representing improved tropospheric ozone distribution over the Northern Hemisphere by including lightning NOx emissions in CHIMERE Ghosh, Sanhita, Cholakian, Arineh, Mailler, Sylvain, Menut, Laurent Lightning, Lightning
Lightning Climatology Datasets from TRMM LIS, ISS LIS, and OTD Cecil, Daniel J., Buechler, Dennis E., Lang, Timothy J., Virts, Katrina S., Mach, Douglas M. Lightning, Lightning, Lightning, Lightning
Hunting for Gamma Rays above Thunderstorms: The ALOFT Campaign Lang, Timothy J., stgaard, Nikolai, Marisaldi, Martino, Quick, Mason G., Schultz, Christopher J., Adams, Ian, Amiot, Corey G., Bitzer, Phillip, Blakeslee, Richard J., Brown, Robert G., Carmer, Kelly, Christian, Hugh, Clark, Austin, Cohen, Morris, Cummer, Steven, Fullekrug, Martin, Grove, J. Eric, Harkema, Sebastian, Heymsfield, Gerald, Krehbiel, Paul, Kroodsma, Rachael, Longenbaugh, Randall, Mach, Douglas, McLinden, Matthew Walker, Mezentsev, Andrey, Montanya, Joan, Pazos, Marni, Sarria, David, Shy, Daniel, Stanley, Mark A., Thomas, Ronald, Walker, T. Daniel, Younes, Camilo Lightning, Brightness Temperature, Atmospheric Water Vapor, Water Vapor Indicators, Cloud Properties, Precipitation Indicators
The Thunderstorms With the Greatest Lightning Densities on Earth Peterson, Michael Lightning, Lightning
The Multiplatform Precipitation Feature (MPF) Database: A StormCentric Synthesis of Spaceand GroundBased Precipitation and Lightning Data Sets for ... Bang, Sarah D., Stough, Sarah M., Lang, Timothy J., Gatlin, Patrick N. Lightning
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