Replication Data for: Can Linear Programming Methods Help Mitigate the Regional Climate Risks of Solar Radiation Management?

Name: Replication Data for: Can Linear Programming Methods Help Mitigate the Regional Climate Risks of Solar Radiation Management?
Creator: Harvard University
Published: 2022-01-01T00:00:00+08:00

Harvard Dataverse2022-06-19 更新2026-04-09 收录

太阳辐射管理

区域气候模拟

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OKWGQW 数据链接链接失效反馈

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资源简介：

Files containing daily temperature and precipitation data from 30-year climate runs in CESM for replication of the work contained in this paper. Data are provided for the 1850 pre-industrial, overconstrained optimization, and S3L1 global optimization model runs. Datasets are organized in time-merged .nc files for reference height temperature (TREFHT), large-scale precipitation (PRECL), and convective precipitation (PRECC).

提供机构：

Harvard University

创建时间：

2022-01-01