Google's WeatherNext aided NHC's Hurricane Isaias forecasts
Google DeepMind reposted Peter Battaglia's account saying that Hurricane Isaias made landfall in the Florida Panhandle last week and that the WeatherNext model assisted the National Hurricane Center's forecasters. Citing initial evaluations, the post says WeatherNext was the most accurate model on the storm's track, kept the projected landfall location within about 60 km up to three days ahead, and early on predicted intensification to a major hurricane. It also cites a Nature paper co-authored with NHC forecasters that evaluated more than 200 global tropical cyclones and found about one additional day of lead time for track and intensity, while noting performance varies from storm to storm.
Google DeepMind says the model gave NHC forecasters more time to prepare and issue watches and warnings; the performance claims come from the developer's own initial evaluations.
RT Peter Battaglia Last week, Hurricane Isaias made landfall in the Florida Panhandle. Our thoughts are with everyone affected and with the recovery efforts still underway. Earlier and more accurate forecasting can help protect communities by giving them more time to prepare, and we are grateful that Google’s WeatherNext model was able to assist the @NWSNHC 's expert forecasters. Based on initial evaluations, here's how our model supported the response to #Isaias: - Tracking the Hurricane’s Path: WeatherNext was the most accurate model on the storm’s track. While traditional physics models predicted landfall closer to New Orleans, WeatherNext correctly predicted a path further east. This allowed NHC forecasters to highlight the potential for wind and storm surge impacts in the Florida Panhandle from their very first forecast. - More Time to Prepare: Up to three days before landfall, our model consistently predicted its eventual location in the Florida Panhandle to within 60 km or less, supporting the NHC as they honed in on a track toward the Florida Panhandle and issued hurricane watches and warnings to give officials in Florida, Alabama, and Mississippi more time to prepare. - Early Indications about Intensity: Early on, WeatherNext accurately predicted the intensification to a major hurricane.
Alongside the regional hurricane models HWRF and HMON, WeatherNext’s intensity forecasts helped NHC forecasters to predict that the Isaias would approach the coast as a category 2 hurricane from the very first advisory. Giving communities more time and more accurate warnings is critical for protecting lives and livelihoods. While model performance varies from storm to storm, Isaias reflects our broader findings. In our recent @Nature paper co-authored with NHC forecasters, evaluating 200+ global tropical cyclones, we found our model provides ~1 day of additional lead time for both track and intensity. It’s been an honor for the @GoogleDeepMind and @GoogleResearch teams to work alongside NHC forecasters. By combining AI, physics models, satellite data, and the crucial expertise of meteorologists, we're excited to keep pushing the boundaries of forecasting to help protect communities.
#Google DeepMind#WeatherNext#Google Research#National Hurricane Center#HWRF#HMON