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What is IBM Weather?

IBM is focused on combining accurate weather data with advanced science and technology to improve the daily decisions of consumers and help businesses operate more effectively. Weather has a profound and universal impact, influencing people's emotions and behaviors in various ways. Each day, a multitude of decisions—such as choosing the right outfit or finding shelter during extreme weather—are shaped by prevailing weather conditions. Committed to its role as a vital resource, IBM strives to utilize its extensive knowledge, resources, and technological prowess to advance the realm of precise weather forecasting, allowing individuals to make well-informed choices. Moreover, weather plays a crucial role in business intelligence, affecting everything from flight paths for pilots seeking to avoid turbulence to the optimal timing for farmers to fertilize their crops and how energy companies manage outages. Access to reliable and accurate weather predictions is essential for everyone, as it can lead to improved results in daily life and across various sectors. By emphasizing the synergy of innovative technology and trustworthy data, we significantly enhance decision-making for both individuals and organizations, ultimately fostering better outcomes in all areas influenced by weather. This commitment not only ensures immediate benefits but also positions IBM as a leader in the future of weather-related advancements.

What is GribStream?

GribStream is a sophisticated API that provides efficient access to historical weather forecasts, enabling users to quickly retrieve both past and present weather data from sources like the National Blend of Models (NBM) and the Global Forecast System (GFS). Designed for meteorologists, researchers, and organizations, it facilitates the extraction of extensive datasets—amounting to tens of thousands of data points—every hour in just a few seconds via a single HTTP request. The platform features an intuitive API, supported by open-source clients and extensive documentation, which guarantees easy integration for its users. With capabilities to support various output formats, including CSV, Parquet, JSON lines, and an array of image types like PNG, JPG, and TIFF, it offers versatile data management options. Users can effortlessly specify their locations with latitude and longitude coordinates while also setting particular time frames for the data they wish to obtain. Moreover, GribStream is committed to ongoing development, actively working on the incorporation of additional datasets, broadening supported result formats, enhancing data aggregation techniques, and creating notification systems to better accommodate user needs. This dedication to continuous enhancement ensures that GribStream remains an indispensable resource for weather data analysis and informed decision-making, allowing users to stay ahead in an ever-changing environment.

Media

Media

Integrations Supported

Apache Parquet
Google Sheets
IBM Cloud
IBM Watson
JSON
Microsoft Excel

Integrations Supported

Apache Parquet
Google Sheets
IBM Cloud
IBM Watson
JSON
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$9.90 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/weather

Company Facts

Organization Name

GribStream

Company Location

United States

Company Website

gribstream.com

Categories and Features

Categories and Features

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