At NSF Unidata, we have successfully implemented and re-used weights from several global AI-NWP (Artificial Intelligence-Numerical Weather Prediction) models (FourCastNet, Pangu) using the NVIDIA earth2mip package. We can confirm that these models are open source and can be reused on high-end, but increasingly standard, HPC hardware. While traditional numerical weather prediction requires massive supercomputing resources, these AI models can potentially deliver similar or better results using standard GPU hardware for inference.
The High Impact Weather Prediction Project (HIWPP) is a collaboration between a dozen or more organizations led by the NOAA Office of Oceanic and Atmospheric Research (OAR) Earth System Research Laboratory (ESRL) and the OAR/Office of Weather and Air Quality. Funded as part of the Hurricane Sandy Disaster Relief Supplemental Appropriations, the project aims to improve near term (from "now" to several weeks or months in the future) prediction of dangerous weather events including hurricanes, floods, and blizzards.
The HIWPP project team announced its Open Data Initiative on February 9, 2015. The goal of the initiative is to strengthen relationships between public, private, academic, and user communities within the weather enterprise. To achieve this, HIWPP will share output from models in advanced stages of development and invite feedback to model developers from the broader weather enterprise.
The High Impact Weather Prediction Project (HIWPP) is a collaboration between a dozen or more organizations led by the NOAA Office of Oceanic and Atmospheric Research (OAR) Earth System Research Laboratory (ESRL) and the OAR/Office of Weather and Air Quality. As previously reported, the HIWPP project management is working to develop ways to engage the public and the scientific community in the project. Read on for details on how to participate.
The High Impact Weather Prediction Project (HIWPP) is a collaboration between a dozen or more organizations led by the NOAA Office of Oceanic and Atmospheric Research (OAR) Earth System Research Laboratory (ESRL) and the OAR/Office of Weather and Air Quality. Funded as part of the Hurricane Sandy Disaster Relief Supplemental Appropriations, the project aims to improve near term (from "now" to several weeks or months in the future) prediction of dangerous weather events including hurricanes, floods, and blizzards.
The National Centers for Environmental Prediction have begun providing Fire Weather output from selected areas of the North American Mesoscale (NAM) model via Unidata's CONDUIT feed. The additional data were added into the CONDUIT feed on September 20, 2011.
