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Data · dataset · 2026

GOES-16 Convective Cloud Products

Listed in National Center for Atmospheric Research

This dataset detects and characterizes deep convective clouds, lightning activity, and potential locations of high ice water content using GOES-16 satellite imagery in support of the July 2022 NASA High Ice Water Content (HIWC 2022) campaign.

Description

GOES-16 Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) data are processed at 5-minute intervals and ~ 2 km pixel spacing over a geographic domain encompassing all of the DC-8 research flights using algorithms and statistical models developed at NASA Langley Research Center.

The HIWC 2022 campaign was based in Jacksonville, Florida.

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Catalogue records · 1

Topics

Inferred from text
Atmospheric sciences 72% · Satellite remote sensing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Researchbca911b4-6009-4a58-8667-bd449f32e62f12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3701enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (72%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (65%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0