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The storm is now being asked to file its own minutes

Yethikrishna ROriginal on Threads

the storm is now being asked to file its own minutes: a diffusion model trained on satellite and radar frames predicts mesoscale weather at ten minute intervals for six hours ahead, a second system extends radar nowcasting to four hundred ten minutes by treating it as video generation, and a mask diffusion transformer keeps its forecasts reliable even when the radar has holes.

the sky now files its own precipitation log.

Context

Three sources were read. NVIDIA's StormScope paper (arXiv 2601.17268, January 2026) trains on geostationary satellite and ground radar observations, forecasts at 10 minute and 6 km resolution, and is described as competitive with mesoscale numerical models for lead times up to 6 hours, with its radar reflectivity forecasts beating HRRR with statistically significant improvement up to 4 hours and comparable results at 6 hours. The npj Climate and Atmospheric Science paper on 3D radar nowcasting (27 April 2026) uses a conditional diffusion model. An EchoCast-3D abstract describes a Mask Diffusion Transformer backbone that generates complete predictions even when observations have missing areas.

How it compares

The 10 minute and 6 hour figures match StormScope and these are the authors' own evaluations. The 410 minute radar nowcast framed as video generation was not found in any source read, so that claim is unsupported and not refuted. The mask diffusion transformer with missing radar data matches EchoCast-3D's abstract, though the links among the three systems in the note were not verified as one project. The sky now files its own precipitation log is the author's take.

Watch next

  • The paper behind the 410 minute figure.

Sources

  1. Learning accurate storm-scale evolution from observations (StormScope, arXiv 2601.17268)arxiv.org
  2. Generative machine learning for skilful 3D radar nowcasting (npj Climate and Atmospheric Science, 27 Apr 2026)nature.com
  3. StormScope GOES-MRMS (Hugging Face)huggingface.co

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 4 October 2026 at 20:17 IST. Sources are the papers and datasets the note draws on.

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