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Wind and solar capacity factor time series by year and grid cell over the contiguous U.S.

<p>This data set contains hourly capacity factor time series of wind and solar resources over the contiguous U.S.</p> <p>&nbsp;</p> <p>The included time series cover four individual years and 2,586 grid cells. The years range from 2016 to 2019. The grid cells correspond to the grid cells of the NASA&#39;s MERRA-2 reanalysis data set into which the contiguous U.S. is subdivided. The grid cells have a spatial resolution of 0.5&deg; latitude x 0.625&deg; longitude with dimensions ranging from about 55 km x 45 km to 55 km x 62 km.</p> <p>&nbsp;</p> <p>This data set is used to generate the results of the following journal article:</p> <p>Enrico G. A. Antonini, Tyler H. Ruggles, David J. Farnham, Ken Caldeira, &quot;The quantity-quality transition in the value of expanding wind and solar power generation&quot;, iScience 25 (4), 104140, 2022.</p> <p>&nbsp;</p> <p>Code and instructions required to reproduce the results reported in the above paper are available in the GitHub repositories at <a href="https://github.com/eantonini/Distributed_wind_and_solar_generation">https://github.com/eantonini/Distributed_wind_and_solar_generation</a> and <a href="https://github.com/carnegie/MEM_public/tree/Antonini_et_al_2022">https://github.com/carnegie/MEM_public/tree/Antonini_et_al_2022</a>.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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