Researchers are using artificial intelligence (AI) and sustainable computing to accelerate and operationalize their work related to climate and weather simulation to help mitigate the effects of climate change, which is one of humanitys greatest challenges.
Environmental sustainability initiatives and the latest climate innovations were highlighted during the NVIDIA GTC 2024 conference, as many scientists and researchers are using the NVIDIA Earth-2, a full-stack, open platform to accelerate climate and weather simulation.
This platform consists of digital models that predict weather and climate, supported by graphics processing units from NVIDIA, including ICON and IFS, as well as advanced AI-based weather models such as FourCastNet, GraphCast, Deep Learning Weather Prediction, interactive, high-resolution data visualization, and simulation enabled by the NVIDIA Omniverse platform.
Tomorrow.io also provides professional weather insights to countries, businesses, and individuals by applying advanced AI and machine learning models to a proprietary global dataset collected from satellites, radar, and other sensors. Thus, the weather and climate adaptation platform delivers high-resolution, accurate weather forecasts across time zones.
The startup is using Earth-2 to study the potential impacts of its suite of satellites on global model forecasts, and by conducting Observing-system Simulation Experiments (OSSEs), Tomorrow.io can identify the optimal configurations to improve weather-forecasting conditions.
The FloodSens flood risk analysis model also provides information on the probability of flooding from rainfall, offering high-resolution assessments of flash flooding, riverine flooding, and all types of flooding in between.
