The NVIDIA Omniverse Blueprint for Earth-2 Weather Analytics is a reference architecture, meant for independent software vendors and their application developers to build AI augmented simulation and visualization pipelines for climate and weather domain. This reference can be used to accelerate the development of climate tech applications for weather and climate analysis, planning and risk mitigation and for developing digital twins of weather and climate. The blueprint showcases:
The blueprint experience showcases the global canvas built and rendered in Omniverse. Various data streams are layered on it to provide a virtual digital twin environment for interactive analysis. By integrating data from traditional weather simulation pipelines from agencies like NOAA, ECMWF with AI generated weather forecasts and observation data from providers like ESRI, Tomorrow.io, one can build next generation climate information systems.
In this experience, users can pick any time frame of interest and turn on or off the different layers to visualize global weather data like in a weather forecasting and analytics application.
The following NIM microservices are used in this blueprint:
This blueprint comes with an open-sourced repository with documentation on how to replicate and customize this blueprint. The blueprint highlights the end to end pipeline that includes the following key components:
Hardware Requirements
Software Requirements
There are multiple deployment configurations that may require more compute requirements. For example, full deployment of the Omniverse application and NIM on the same machine will require 2 GPUs. For complete details, see the blueprint documentation on Github.
The user interacts with the Omniverse Kit application, Earth-2 Command Center, which offers a high-fidelity interactive globe. Using either the WebRTC APIs of the Omniverse Streaming application, or more commonly the GUI of the desktop application the user can select the following:
This fetch request is then converted into a data federation mesh pipeline by an Omniverse Kit application extension that will retrieve the requested data for a set time frame starting at the provided date time. The data federation then executes this pipeline that processes the raw weather data into textures that the Omniverse application can render on the globe. This data is then presented to the user as a feature layer in Omniverse that can be visually customized based on use case.
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Use of the models in this Omniverse Blueprint for Earth-2 Weather Analytics is governed by the NVIDIA AI Foundation Models Community License. Use of the Omniverse SDKs and microservices is governed by the NVIDIA Omniverse License Agreement
GOVERNING TERMS: The trial service is governed by the NVIDIA API Trial Terms of Service. Use of this model is governed by the NVIDIA Community Model License. The software and materials are governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA Omniverse.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.