All of the OnPoint products were named for the simple fact they are “OnPoint” and truly hyper-local and relevant to your location. This is the OnPoint Advantage.
Unlike other weather data providers that rely on data weather observation stations only (which are often hundreds of miles from your location of interest to be meaningful and do not factor in topography or geography) Weather Source approaches our weather data in a much different way.
What’s In OnPoint Weather?
We actually start with your location of interest which can be a Latitude or Longitudinal point or a geographically bounded area such as ZIP or postal code, DMA (designated market area) or MSA (metropolitan statistical area), and we essentially build a virtual weather station at that point by assembling up to 15 different inputs including weather observation stations, satellite, radar, local sensors and a lot of mathematics, statistics and models to produce truly hyper-local weather data and information.
Weather Source Products Designed
for Better Business Intelligence
A continuum of Past (historical), Present and Forecast weather data from the year 2000, to present and with a forward forecast view of up to 42 days, in hourly and daily format for any location.
The statistical representation of weather over time offering valuable information such as, what is “normal” or “average” weather (mean) for any location at any point-in-time.
Weather Source is not only skilled in compiling and delivering sophisticated weather data but we are also analytics experts, and we’re here to help you.
Weather Impact Ranking System (“WIRS”)
A patent pending turn-key web-based application designed to help businesses identify weather conditions, events or perils that have the potential to impact or damage business operations and physical assets.
In addition, Weather Source also ensures that your data is error and gap-free.
Data problems are inherent to any real-time data collection network such as the national and global networks of weather observation stations (up to 25% of weather observation stations routinely have data issues).
Weather Source ingests and processes data from thousands of North American and international weather stations continuously and tests and corrects errors in real-time. The quality checking process executes a battery of tests that include observation consistency tests (e.g. can’t snow at 70F) and tests against companion datasets such as radar, satellite, and other meteorological data and analyses. Observations that are missing or determined to be erroneous are replaced with estimates that are derived from surrounding data so you can rest assured that the data you are using is of the highest quality for accuracy.
In addition, attempting to collect and use numerous or disparate sources of weather information requires extensive work to identify and correct for biases and data inconsistencies that naturally exist between the various sources. Weather Source has found the solution to this critical problem.
By unifying sources within our OnPoint Platform, our past, and present, forecast weather data and our climatology data and forecast data all become homogenous and consistent and allows the OnPoint data products to become immediately usable and the continuum of data from past to present and into the future allows companies to use the entire OnPoint datasets as a single source of trust.
All of our data is available in hourly or daily format (daily format includes daily averages and min / max values) and is available via the OnPoint API, CSV files or easily accessed in business intelligence platforms such as the Google Cloud Platform, Domo, Looker or Qlik.