GLOBAL
Global Weather & Climate Data for BI
From Weather Source, LLC
Built for analytics and machine learning; empowering companies to quantify the impact of weather.
Data Overview
Weather Source data, products, and solutions were built for analytics and machine learning. Since 2015, Weather Source has empowered companies to quantify the impact of weather on their operations and increase return on investment, fine-tune logistics, strengthen supply chains, optimize marketing, improve resource planning, and more. Seamlessly integrate weather and climate data with your internal data for insightful analytics and actionable business intelligence.
THIS SHARE INCLUDES TWO SAMPLE DATASETS:
- 1,000 U.S. ZIP Codes:
– Weather data for 1,000 random U.S. ZIP Codes in daily format.
– Historical data (two years of rolling history).
– 15-day forecast data.
– Climatology data. - International City Centers:
– Weather data for six international city centers in daily format including Delhi (India),
Lagos (Nigeria), Rio (Brazil), Sydney (Australia), London (United Kingdom),
Frankfurt (Germany).
– Historical data (two years of rolling history).
– 15-day forecast data.
– Climatology data.
WEATHER SOURCE’S COMPLETE ON POINT DATA PRODUCTS INCLUDE:
– High-resolution data for every landmass on Earth and up to 200 miles offshore.
– Daily/hourly historical data from 2000 to present.
– Daily/hourly 15-day forecast data with an enhanced view out to 42 days.
– Daily/hourly climatology data.
EXAMPLE USE CASES:
– Retailers and restaurants to optimize footfall traffic and product sales, minimize supply chain disruption, and predict employee absenteeism.
– Financial institutions to manage operational risk and make better-informed decisions.
– Energy companies to anticipate weather anomalies and potential changes in demand.
– Marketing organizations to correlate sales and weather as a critical component of their strategies.
DATA DICTIONARY:
(See Technical Documentation)
– Click more in the description field of a weather resource table to view list of parameter names and definitions for the selected resource.
Cloud Region Availability
US West (Oregon)
Canada (Central)
US East (N. Virginia)
US East (Ohio)
US East (Commercial Gov - N. Virginia)
US Gov East 1 (Fedramp High Plus)
US Gov West 1
US Gov West 1 (DoD)
US Gov West 1 (Fedramp High Plus)
Asia Pacific (Jakarta)
Asia Pacific (Mumbai)
Asia Pacific (Osaka)
Asia Pacific (Seoul)
Asia Pacific (Singapore)
Asia Pacific (Sydney)
Asia Pacific (Tokyo)
EU (Frankfurt)
EU (Ireland)
EU (London)
EU (Stockholm)
EU (Zurich)
EU (Paris)
South America (São Paulo)
Canada Central (Toronto)
Central US (Iowa)
East US 2 (Virginia)
South Central US (Texas)
US Gov Virginia
US Gov Virginia (FedRAMP) High Plus
West US 2 (Washington)
Australia East (New South Wales)
Central India (Pune)
Japan East (Tokyo, Saitama)
Southeast Asia (Singapore)
UAE North (Dubai)
North Europe (Ireland)
Switzerland North (Zurich)
UK South (London)
West Europe (Netherlands)
US Central 1 (Iowa)
US East 4 (N. Virginia)
Europe West 2 (London)
Europe West 4 (Netherlands)
Category
Weather
Refreshes
Hourly
Access
Free, unlimited access
Geographic Coverage
Global (by Postal Code)
Time Coverage
After January 1, 2000
