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Category: LightningCast

LightningCast version 2

The ProbSevere LightningCast version 1 (v1) model uses machine learning and GOES-R Advanced Baseline Imager (ABI) data to predict the probability of lightning in the next 60 minutes. This version will be operational at NOAA later in 2025.As research and development continues, a new version of the model (LightningCast v2) adds... Read More

Assessing rain chances over the Samoan Islands

Night Microphysics RGB imagery from the CSPP Geosphere site (link) show the blossoming of high clouds (deep red in the RGB) north of the Samoan Islands, clouds that subsequently sag southward. Careful inspection of the animation also shows clouds that are more pink than deep red; these are likely mid-level... Read More

LightningCast applied to new sensors

GOES-19 is slated to become the next operational GOES-East in April. Despite being trained on GOES-16 data, CIMSS and NOAA scientists have been busy evaluating the AI lightning-prediction model, LightningCast, on GOES-19 output to prepare for the operational transition and see how adaptable the model is.Overall, the LightningCast output on... Read More

CSPP Geo Software to create LightningCast imagery released

As first hinted at in this blog post, the Community Satellite Processing Package for Geostationary Data (CSPP-Geo) (https://cimss.ssec.wisc.edu/csppgeo/ ) group at CIMSS has released a beta version of a unix-based package that computes LightningCast probabilities.  LightningCast (available online in real time for select regions) diagnoses the probability of a Geostationary Lightning Mapper (GLM) observation of lightning within... Read More