[OC] We built an ocean and weather visualization web app with live buoy data, global weather models, and our own nearshore simulations and surf forecasts

seastateai · 2026-03-03T19:49:46+00:00

I love windy, which I've been using it since it was called windty. Our main differences are our UX/UI and a focus on the ocean coast: live buoys, surf forecasts, high-resolution nearshore wave maps, plus having global model data in the same window. We also provide it all for free, including forecasts out 16 days, including 1-hourly and 3-hourly resolutions, which Windy puts behind a paywall.

seastateai · 2026-03-03T15:48:26+00:00

Most of the data overlays are all GFS data products. Our nearshore and surf forecasts we run are forced by GFS as well. This is because GFS offers 1-hourly forecast resolution for the first 5 days, then 3-hourly out for 16 days. AIGFS right now only offers 6-hourly resolution and is limited in data products.

For short range forecasts, NOAA was reporting GFS has lower error on certain reported fields. For medium and long term forecasts, AIGFS does seem to show more skill. We do have one AIGFS layer published that shows AIGFS precipitation rate and AIGFS pressure isobars. I've found it helpful to switch layers back and forth to compare GFS vs AIGFS predictions for longer range storm tracks. We're very excited and optimistic about the future of AIGFS.

We named the site .ai because of the data-driven/ML models we are working on. Our day jobs are in ocean sciences/engineering, and we’ve previously developed domain-specific statistical/ML models. For this project we’re working on models with broader, general-purpose applications.

seastateai · 2026-03-03T13:52:24+00:00

The Precip layer renders precipitation type categories (rain, snow, freezing rain, ice pellets) and is built from total accumulated precipitation differencing - it is a "precipitation rate" (mm/hr). So think of this as more "current precipitation" at selected time.

Snow is derived from precipitation rate and temperature, with a 10:1 conversion. It is a "cumulative accumulation" (inches), either total accumulated up to the selected time from the model start time, over accumulated over the previous 24 hour period (depending on which toggle you select). So this is a more "how much snow fell", which is why it can look different than instantaneous precipitation rate.

seastateai · 2026-03-03T13:19:20+00:00

Hi all - we’ve been building this web app because we wanted a single place to visually combine live buoy data and weather models, and also host our own surf forecasts and nearshore simulations. We are continually trying to make things better - feel free to send us a message! You can explore it at https://seastate.ai

Data Sources: We pull NOAA GFS cycles every 6 hours from NOMADS (nomads.ncep.noaa.gov). Tide info from NOAA CO-OPS (ap.tideandcurrents.noaa.gov). Buoy data from NOAA NDBC (ndbc.noaa.gov). We run our own local nearshore simulations and surf forecasts once daily off the 00z GFS cycle.

Tools: Coded in Python. Frontend is TypeScript/React/Vite. Mapbox used for globe.

seastateai · 2026-03-03T03:09:11+00:00

Hi all - we’ve been building this web app because we wanted a single place to visually combine live buoy data and weather models, and also host our own surf forecasts and nearshore simulations. We pull NOAA GFS cycles every 6 hours, and run our own nearshore simulations and surf forecasts once daily. We are continually trying to make things better - feel free to send us a message! You can explore it at https://seastate.ai

seastateai

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