Waves
Swell height, swell period, wave direction, wind waves, and secondary swell where available.
Forecast Method
Global wave, wind, tide, and astronomy data, processed for Philippine surf spots, then translated into something surfers can actually use.
The ingredients
The raw models give us the numbers. SurfTrip adds Philippine local time, surf-friendly presentation, and local spot context.
Swell height, swell period, wave direction, wind waves, and secondary swell where available.
Wind speed, direction, and gusts converted into local surf context.
Tide predictions generated from a global empirical tide model.
Sunrise, sunset, moonrise, and moonset for planning dawn patrols and late sessions.
A plain-English summary after the forecast data has already been processed.
Update rhythm
Most surfers just want to know if it is worth paddling out. This is the rhythm behind the SurfTrip forecast page.
Processing
A global model sees the ocean. A local surfer also cares about exposure, tide behavior, wind protection, swell direction, and how that spot usually behaves in real life.
We start with open meteorological, oceanographic, tide, and astronomy data sources.
Units, timezones, forecast hours, and local dates are converted into PH-friendly surf windows.
The forecast is presented with spot behavior in mind, not just raw numbers from a grid cell.
Alon AI
Alon AI reads the processed SurfTrip forecast data and turns it into a simple surf summary. It does not invent the swell, wind, or tide.
Think of Alon AI like the friend who checks the numbers before you paddle out and says, “Morning looks cleaner, but the tide might be weird later.”
The numbers still come from the forecast pipeline. The AI layer is there to make the forecast easier to understand at a glance.
Transparency
SurfTrip forecasts are processed and reblended. These providers make the raw data possible.
Wave and wind forecast data from NOAA/NCEP WAVEWATCH III (GFS-Wave), accessed via NOMADS. U.S. National Oceanic and Atmospheric Administration.
Adapted from ECMWF Open Data (IFS) forecast data by the European Centre for Medium-Range Weather Forecasts (ECMWF), licensed under CC-BY-4.0, available from ECMWF open forecasts.
Wave model data from the E.U. Copernicus Marine Service
Global Ocean Waves Analysis and Forecast product
(GLOBAL_ANALYSISFORECAST_WAV_001_027), dataset
cmems_mod_glo_wav_anfc_0.083deg_PT3H-i.
DOI:
10.48670/moi-00017.
Hart-Davis Michael, Piccioni Gaia, Dettmering Denise, Schwatke Christian, Passaro Marcello, Seitz Florian (2021). EOT20 - A global Empirical Ocean Tide model from multi-mission satellite altimetry. SEANOE. DOI: 10.17882/79489.