NVIDIA
NVIDIA
Modulus Datasets: HRRR-Mini
Resource
NVIDIA
NVIDIA
Modulus Datasets: HRRR-Mini

A small subset of the HRRR dataset used in the Modulus CorrDiff-Mini model: https://github.com/NVIDIA/modulus/tree/main/examples/generative/corrdiff

Dataset overview

The CorrDiff-Mini training dataset of ERA5 (low-resolution) reanalysis and the corresponding HRRR (high-resolution) analysis fields at a resolution of approximately 3 km per pixel. It is intended to be used with the CorrDiff-Mini code in Modulus to enable training a lightweight CorrDiff version for educational and testing purposes and as a baseline for implementing custom versions of CorrDiff.

The data are collected from the period 2018-2021 from the HRRR CONUS domain covering the continental United States and some surrounding regions. The samples are 64x64 pixels in size, with a spatial resolution of approximately 3 km per pixel.

The ERA5 variables, intended to be used as the CorrDiff input, include temperatures (t), geopotential height (z), west-east (u) and south-north (v) winds and specific humidities (q), each as 1000, 850, 500 and 250 hPa pressure levels, as well as the 10-meter winds, 2-meter temperature, total column water vapor, surface pressure and mean sea level pressure. The HRRR variables, intended as the CorrDiff output, include 10-meter winds, 2-meter temperature and total precipitation.

License

NOAA High-Resolution Rapid Refresh (HRRR) Model was accessed on Aug 2024 from https://registry.opendata.aws/noaa-hrrr-pds. Data is produced by the US Government and licensed as such: https://registry.opendata.aws/noaa-hrrr-pds/

Disclaimer: For each dataset an user elects to use, the user is responsible for checking if the dataset license is fit for the intended purpose.

Publisher
NVIDIA
NVIDIA
Latest Version1
UpdatedSeptember 27, 2024 UTC
Compressed Size1.98 GB