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

This data set contains hourly capacity factor time series of wind and solar resources over the contiguous U.S.

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's MERRA-2 reanalysis data set into which the contiguous U.S. is subdivided. The grid cells have a spatial resolution of 0.5° latitude x 0.625° longitude with dimensions ranging from about 55 km x 45 km to 55 km x 62 km.

This data set is used to generate the results of the following journal article:

Enrico G. A. Antonini, Tyler H. Ruggles, David J. Farnham, Ken Caldeira, "The quantity-quality transition in the value of expanding wind and solar power generation", iScience 25 (4), 104140, 2022.

Code and instructions required to reproduce the results reported in the above paper are available in the GitHub repositories at https://github.com/eantonini/Distributed_wind_and_solar_generation and https://github.com/carnegie/MEM_public/tree/Antonini_et_al_2022.

本数据集包含美国本土范围内风电与太阳能资源的小时级容量因子（capacity factor）时间序列。

所涵盖的时间序列覆盖4个独立年份与2586个网格单元，年份范围为2016年至2019年。该网格单元对应美国本土被细分后的NASA MERRA-2（MERRA-2）再分析数据集的网格单元，其空间分辨率为0.5°纬度×0.625°经度，尺寸范围约为55千米×45千米至55千米×62千米。

本数据集用于生成下述期刊论文的研究结果：Enrico G. A. Antonini、Tyler H. Ruggles、David J. Farnham、Ken Caldeira合著的《风电与光伏发电扩张价值中的量质转型》，发表于iScience 25(4)，104140，2022年。

复现上述论文结果所需的代码与操作说明，可在以下GitHub仓库获取：https://github.com/eantonini/Distributed_wind_and_solar_generation 及 https://github.com/carnegie/MEM_public/tree/Antonini_et_al_2022。