The Fathym Forecaster is a statistics-based, machine learning forecaster to tackle the largest datasets, including road weather.
BOULDER, Colo. March 16, 2020 — Fathym, Inc. has launched the Fathym Forecaster, a robust, feature-rich API environment that offers a powerful suite of weather forecasting and low-code data visualization tools. The Forecaster offers developers powerful weather forecasting capabilities over freely- chosen locations and routes across the globe, with any combination of variables.
In addition to the wide array of weather conditions, the API delivers a unique suite of highly-specialized forecast variables derived through statistically-based machine learning models. These derived variables include road temperature, road state, road condition, and a delay risk factor that computes the weather’s impact on destination arrival estimates.
The Fathym Forecaster provides forecasts out to 120 hours globally. The API also offers 90-day historical queries. All forecasts are time-interpolated to the nearest second, rather than the lag of hourly updates offered by other forecasts APIs. Additionally, map tile output is compatible with all industry standard map overlay APIs such as Azure Maps, Google Maps and OpenStreetMap.
Potential use cases include, but are not limited to, individual point forecasts through time, as well as individual forecasts for large sets of locations, such as the locations of all electric charging stations in the United States. Treating points in space and time as routes can extend forecast capabilities to user-selected transportation routes, supporting many potential applications targeting commercial transportation and travel where road and surface condition predictions impact planning and logistics.
The Fathym Forecaster is designed to ingest any spatial temporal datasets, including additional weather models, to provide enhanced forecast granularity or industry-specific modeling and prediction.
“The scalability and flexibility of the Fathym Forecaster is truly remarkable,” says Christy Szoke, Chief Marketing Officer of Fathym. “Using machine learning, we are able to forecast the data variables that fleets and cities truly need to improve safety and optimize their operations.”
The Fathym Forecaster is the culmination of focused development and expertise to launch a groundbreaking, statistically-based forecast using machine learning that is built to tackle the largest datasets. The Forecaster has been tried and tested by a wide variety of Fathym customers, such as commercial transportation fleets, consumer navigation systems and specialized drones. The Fathym Forecaster can be utilized to help drivers navigate more safely, fleets optimize routes, cities maintain roads, and more.