Weather
Maritime
Intelligence Platform Provider, Oceanbolt, leverages Dynamic AIS to deliver real time insights into global dry bulk trade flows
PredictWind provides the sporting and leisure maritime community with high-quality forecasts. The company created two proprietary weather prediction models with resolutions as fine as one kilometer. It provides two alternative forecast models – ECMWF and GFS — for comparison.
Spire’s model ranked #1 for both wind speed and direction.
PredictWind needed to identify the best weather forecast provider to equip sailors with accurate and detailed maps, weather routing tools, a departure planning guide, forecast alerts, and live wind observations.
Custom forecasts that prioritize relevant variables were a constant challenge in the maritime sporting and leisure industry.
PredictWind compared wind observations from weather stations and wind forecasted by weather models for various locations around the world in order to rank weather models in terms of wind accuracy.
This study focuses on the following weather models: ECMWF, SPIRE, UKMO, and GFS.
PredictWind’s comparison ranked Spire as #1 for both wind speed and direction. The fine vertical resolution and high quality of Spire’s Radio Occultation observations combined with Spire collecting 10,000 profiles a day results in a homogenous, unbiased, observational data set that is able to cover the entire planet.
Spire Data is not collected in a single altitude, but from the ground up to 120 km. Weather events are observed as they are forming at very high altitudes, giving unique medium-range forecast capabilities. Spire’s satellites collect data all over the planet – including open oceans and remote areas which make for a more comprehensive and accurate weather forecast.
Let’s take a look at the tested metrics:
Plotted in this chart is the wind speed mean absolute error in knots for Spire, ECMWF, UKMO, and GFS. Lower values are better and Spire’s model consistently has a lower mean absolute error (in knots) than the other test models over the course of a 7 day period.
This chart shows the comparison of the mean absolute error, this time in degrees, for wind direction (again, lower values are better). Results are even more conclusive than the wind speed results: Spire’s weather forecast model ranks #1 in this metric for each day tested.
“The Spire Weather Forecast excels for open ocean weather forecast accuracy. The level of development and speed of innovation that Spire is putting into its models continues to impress us.”
Share on Twitter Share on LinkedIn
How PredictWind compared wind observations from weather stations and weather models to create two proprietary weather prediction models.
Get the case studyIntelligence Platform Provider, Oceanbolt, leverages Dynamic AIS to deliver real time insights into global dry bulk trade flows
myairops is a leading provider of cloud-native applications and services for the aviation market with a global customer base.
SATAVIA provides live and forecast COVID-19 risk along an air passenger journey and integrates by API into an existing airline webpage interface or mobile application.
TTEK incorporates Spire Aviation’s flight tracking ADS-B data to help them deliver their state-of-the-art solutions for customs and border processing.