ICAR Research Data Repository for Knowledge Management
Replication Data for: Can Linear Programming Methods Help Mitigate the Regional Climate Risks of Solar Radiation Management?
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for: Can Linear Programming Methods Help Mitigate the Regional Climate Risks of Solar Radiation Management?
|
|
| Identifier |
https://doi.org/10.7910/DVN/OKWGQW
|
|
| Creator |
Stephen, Kevin
|
|
| Publisher |
Harvard Dataverse
|
|
| Description |
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).
|
|
| Subject |
Earth and Environmental Sciences
Mathematical Sciences |
|
| Contributor |
Stephen, Kevin
|
|