Weather Source is the leading provider of analytics grade global past, present, forecast and climatology weather data and turn-key weather based solutions. Drawing on cutting-edge science, data analytics and meteorological expertise, Weather Source has been delivering the industry’s most comprehensive and accurate weather & climate data since 2004 enabling companies the ability to quantify the impact of weather on a business and reduce waste, increase return on investment, fine-tune logistics, optimize marketing strategy, improve resource planning and much more.
Data CategoriesWeather Data Seasonal Data Wildfires Data Geospatial Data Satellite Data Map Data Alternative Data IoT Data Climate Data B2B Data
Most weather data providers rely solely on one source for their input data which is airport reporting stations (also known as observation stations). These airport reporting stations collect weather data by instrument or actual observation.
There are many issues with exclusively using airport station data including but not limited to the fact that (i) up to 25% of data from airport reporting stations have errors or gaps; (ii) much of the data from airport reporting stations requires a meteorological background or significant experience working with weather sensor data to decode and prep the data for analytics and modeling; (iii) most times these airport reporting stations are located 100’s of miles from your point of interest to be meaningful; and (iv) many times the airport reporting stations are located directly adjacent to an urban center and/or water which can have a direct impact on reported weather (e.g. Boston Logan airport reporting station is at zero sea level; offshore…Read more
GOES 16 AND 17
IoT Devices and sensors
A nationwide retailer wanted to quantify the impact of weather on seasonal product sales in an effort to determine when to move seasonal products off the floor or mark-down products in anticipation of the upcoming season versus using a pre-determined date to move seasonal inventory off the floor. Weather Source assisted the customer with the creation of a predictive model that forecasted end-of-season product demand based on identification of seasonal anomalies that resulted in continued demand due to atypical weather. After implementation of the model, the retailer was able to recognize increases in end-of-season product sales and recognize an on-average higher sale price of end-of-season
A social media company that was planning on launching satellites and needed to find the ideal location for its ground-based imaging equipment used OnPoint Climatology and the ‘frequency of occurrence’ data to establish an analytical view of what was the probability of cloud c…Read more