"Womp Womp! Your browser does not support canvas :'("

HRRR Meteorology, Energy, and Transmission (MET) Toolkit

Publicly accessible License 

The HRRR MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the direct successor to the legacy WIND Toolkit, this dataset provides a continuously updatable, high-fidelity meteorological record covering the Continental United States (CONUS). To ensure a seamless transition for modelers conducting multi-decadal grid integration and capacity expansion studies, the HRRR MET Toolkit is delivered at an hourly resolution on the exact same 2-km horizontal grid as the original WIND Toolkit.

Repackaged from the National Oceanic and Atmospheric Administration's (NOAA) operational High-Resolution Rapid Refresh (HRRR) forecasts, the dataset bridges the critical gap between historical industry baselines and modern operational weather data. Spanning from 2015 to the present with planned annual extensions, it overcomes the technical barriers of native weather models by providing spatial regridding, temporal gap-filling, and vertical interpolation at key energy-relevant heights. By delivering highly accurate, validation-backed data across a comprehensive suite of atmospheric variables -including temperature, pressure, humidity, and wind characteristics - the HRRR MET Toolkit provides a highly accessible and strictly standardized foundation for modern power system modeling.

Citation Formats

TY - DATA AB - The HRRR MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the direct successor to the legacy WIND Toolkit, this dataset provides a continuously updatable, high-fidelity meteorological record covering the Continental United States (CONUS). To ensure a seamless transition for modelers conducting multi-decadal grid integration and capacity expansion studies, the HRRR MET Toolkit is delivered at an hourly resolution on the exact same 2-km horizontal grid as the original WIND Toolkit. Repackaged from the National Oceanic and Atmospheric Administration's (NOAA) operational High-Resolution Rapid Refresh (HRRR) forecasts, the dataset bridges the critical gap between historical industry baselines and modern operational weather data. Spanning from 2015 to the present with planned annual extensions, it overcomes the technical barriers of native weather models by providing spatial regridding, temporal gap-filling, and vertical interpolation at key energy-relevant heights. By delivering highly accurate, validation-backed data across a comprehensive suite of atmospheric variables -including temperature, pressure, humidity, and wind characteristics - the HRRR MET Toolkit provides a highly accessible and strictly standardized foundation for modern power system modeling. AU - Bodini, Nicola A2 - Buster, Grant A3 - Pinchuk, Pavlo DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - KW - energy KW - power KW - atmosphere KW - HRRR KW - data KW - processed data KW - Meteorology KW - transmission KW - NLR KW - atmospheric KW - planning KW - operations KW - WIND Toolkit KW - CONUS KW - hourly KW - 2-km KW - wind power KW - wind energy KW - wind LA - English DA - 2026/03/09 PY - 2026 PB - National Laboratory of the Rockies (NLR) T1 - HRRR Meteorology, Energy, and Transmission (MET) Toolkit UR - https://data.openei.org/submissions/8636 ER -
Export Citation to RIS
Bodini, Nicola, et al. HRRR Meteorology, Energy, and Transmission (MET) Toolkit. National Laboratory of the Rockies (NLR), 9 March, 2026, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8636.
Bodini, N., Buster, G., & Pinchuk, P. (2026). HRRR Meteorology, Energy, and Transmission (MET) Toolkit. [Data set]. Open Energy Data Initiative (OEDI). National Laboratory of the Rockies (NLR). https://data.openei.org/submissions/8636
Bodini, Nicola, Grant Buster, and Pavlo Pinchuk. HRRR Meteorology, Energy, and Transmission (MET) Toolkit. National Laboratory of the Rockies (NLR), March, 9, 2026. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8636
@misc{OEDI_Dataset_8636, title = {HRRR Meteorology, Energy, and Transmission (MET) Toolkit}, author = {Bodini, Nicola and Buster, Grant and Pinchuk, Pavlo}, abstractNote = {The HRRR MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the direct successor to the legacy WIND Toolkit, this dataset provides a continuously updatable, high-fidelity meteorological record covering the Continental United States (CONUS). To ensure a seamless transition for modelers conducting multi-decadal grid integration and capacity expansion studies, the HRRR MET Toolkit is delivered at an hourly resolution on the exact same 2-km horizontal grid as the original WIND Toolkit.

Repackaged from the National Oceanic and Atmospheric Administration's (NOAA) operational High-Resolution Rapid Refresh (HRRR) forecasts, the dataset bridges the critical gap between historical industry baselines and modern operational weather data. Spanning from 2015 to the present with planned annual extensions, it overcomes the technical barriers of native weather models by providing spatial regridding, temporal gap-filling, and vertical interpolation at key energy-relevant heights. By delivering highly accurate, validation-backed data across a comprehensive suite of atmospheric variables -including temperature, pressure, humidity, and wind characteristics - the HRRR MET Toolkit provides a highly accessible and strictly standardized foundation for modern power system modeling.}, url = {https://data.openei.org/submissions/8636}, year = {2026}, howpublished = {Open Energy Data Initiative (OEDI), National Laboratory of the Rockies (NLR), https://data.openei.org/submissions/8636}, note = {Accessed: 2026-07-05} }

Details

Data from Mar 9, 2026

Last updated Mar 31, 2026

Submitted Mar 25, 2026

Organization

National Laboratory of the Rockies (NLR)

Contact

Nicola Bodini

Authors

Nicola Bodini

National Laboratory of the Rockies NLR

Grant Buster

National Laboratory of the Rockies NLR

Pavlo Pinchuk

National Laboratory of the Rockies NLR

DOE Project Details

Project Name Power systems modeling, analysis, and support

Project Number 54963

Share

Submission Downloads