Worldwide AI Climate Sets
CustomWeather collaborates with Weather Data, LLC to offer Weather Data AI climate data sets specifically tailored for easy integration into AI systems and Machine Learning models.
Raw data, from a multitude of government sources, private weather networks and Earth Observation platforms, is assimilated into proprietary numerical weather prediction (NWP) models. The Model output is a clean, high resolution global daily gridded weather database.
Every aspect of the dataset is designed around the practical requirements of AI, machine learning, and data science teams.
Raw data assimilated from government sources, private weather networks, and Earth Observation platforms into proprietary NWP models.
Datasets specifically tailored for easy integration into AI systems and Machine Learning models — clean, structured, and usable out of the box.
Model output is a clean, high resolution global daily gridded weather database — consistent coverage across the entire planet.
Numerical weather prediction models process and harmonize diverse raw data into coherent, bias-corrected global climate sets.
Designed to be downloaded in a manageable way — structured so large-scale climate data sets are practical and affordable for any team.
CustomWeather collaborates with Weather Data, LLC in a shared vision of making advanced climate data available and compatible with today's technology requirements.
CustomWeather is excited to make large gridded climate data sets available to our clients in a manner that is compatible with AI and machine learning models. This provides a user-friendly option to download clean, usable data sets in a manageable way that is also extremely affordable. Weather Data, LLC is a great partner, and we have a shared vision of making this kind of data available in a way that is manageable and designed to work with today's technology requirements.
Access worldwide AI-ready climate data sets designed for machine learning models. Clean, affordable, and built for today's technology requirements.