Preprints
https://doi.org/10.5194/essd-2026-680
https://doi.org/10.5194/essd-2026-680
02 Sep 2026
 | 02 Sep 2026
Status: this preprint is currently under review for the journal ESSD.

The Alaska Meteorology, Energy, and Transmission (MET) Toolkit dataset

Nicola Bodini, Grant Buster, and David D. Turner

Abstract. The Alaska Meteorology, Energy, and Transmission (MET) Toolkit is a multi-year, hourly, 2 km gridded meteorological dataset covering the state of Alaska and adjacent marine areas. It is produced by repackaging the National Oceanic and Atmospheric Administration's operational High-Resolution Rapid Refresh Alaska (HRRR-AK) forecast archive into an analysis-ready format. The native 3 km HRRR-AK fields from the 2- to 4-hour-ahead HRRR-AK forecasts are temporally stitched into a continuous hourly record (2019–2025), horizontally regridded on a 2 km grid, and vertically interpolated to fixed heights between 10 m and 500 m above ground level. We characterize the modeled wind and temperature fields and validate the dataset against more than 150 in situ sites plus a single remote-sensing site drawn from the National Data Buoy Center, the U.S. Climate Reference Network, and the Atmospheric Radiation Measurement North Slope of Alaska site. The dataset, released by the National Laboratory of the Rockies, is openly available through the Wind Resource Database and the Open Energy Data Initiative at https://doi.org/10.25984/3441605 (Bodini et al. 2026b), is distributed in the same format as its sister flagship MET Toolkit datasets over the contiguous United States, Hawaii, and Guam, and is intended to be extended annually.

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Nicola Bodini, Grant Buster, and David D. Turner

Status: open (until 09 Oct 2026)

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Nicola Bodini, Grant Buster, and David D. Turner

Data sets

Alaska Meteorology, Energy, and Transmission (MET) Toolkit Nicola Bodini https://data.openei.org/submissions/8719

Nicola Bodini, Grant Buster, and David D. Turner
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Latest update: 02 Sep 2026
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Short summary
Alaska's power systems depend on weather, yet weather stations there are few and far between. We turned seven years of hourly output from a national weather forecast model into an easy-to-use record of wind and temperature across Alaska, and checked it against measurements from more than 150 sites. The data generally match observations well, and are freely available to support energy planning, resilient power grids, and artificial intelligence research in this remote region.
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