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The fireball is now being asked to report its own fall

Yethikrishna ROriginal on Threads

the fireball is now being asked to report its own fall: a conv net called meteornet spots meteors at 99.94 percent recall with almost no leakage, a daily pipeline digs bolide light curves out of weather satellite data for planetary defense, and goes lightning mappers now keep 88 percent of their detections real.

the sky now files its own impact log.

Context

A BAAS abstract says that, funded by NASA's Planetary Defense Coordination Office, a team has been developing an automated pipeline to identify bolides (exploding meteors) in weather satellite data, to build a calibrated and statistically consistent data set of bolide light curves that informs the planetary defense community about the risks of large asteroidal impacts. NASA's SC23 page describes finding fireballs hidden in satellite lightning data.

A conference abstract on GOES-Bolide describes bolides detected by the GOES Geostationary Lightning Mappers.

How it compares

The pipeline for bolide light curves in weather satellite data is supported by the BAAS abstract. The pages read do not describe the pipeline as running daily, so 'daily' is unsupported here, not refuted.

The 'MeteorNet' name, the 99.94 percent recall and the 88 percent of GLM detections kept real were not found in any source read, so those figures are unsupported here, not refuted. Other meteor detection studies exist, but none read gave these numbers.

'The sky now files its own impact log' is the author's line. The sources describe a data set built for planetary defense research.

Related work

Watch next

  • Find the source of the MeteorNet recall figure and the 88 percent claim. Check the pipeline's update cadence.

Sources

  1. Finding Fireballs Hidden in Satellite Lightning Data (NASA Advanced Supercomputing, SC23)nas.nasa.gov
  2. Finding Fireballs in Lightning: Repurposing Weather Satellites to Find Exploding Meteors (BAAS, October 31, 2024)baas.aas.org
  3. GOES-Bolide: Bolides Detected by the GOES Geostationary Lightning Mappers (Smith et al.)hou.usra.edu

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 3 October 2026 at 19:50 IST. Sources are the papers and datasets the note draws on.

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