optimalcores: An R software project to analyse optimal ice core locations in a climate model simulation
optimalcores is an R software project to analyse the temperature and isotope time series in an isotope-enabled climate model simulation; specifically, the ECHAM5/MPI-OM-wiso past1000 climate model run can be analysed, but also any other suited model run. The software is especially intended to determ...
| Main Author: | |
|---|---|
| Format: | Article in Journal/Newspaper |
| Language: | unknown |
| Published: |
Zenodo
2021
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.5075438 https://zenodo.org/record/5075438 |
| Summary: | optimalcores is an R software project to analyse the temperature and isotope time series in an isotope-enabled climate model simulation; specifically, the ECHAM5/MPI-OM-wiso past1000 climate model run can be analysed, but also any other suited model run. The software is especially intended to determine optimal spatial sampling configurations for Antarctic ice cores which maximize the correlation with a target site temperature time series. : Version 1.0.0 of the software is released along with the publication Münch, Werner and Laepple: How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores, Clim. Past, 17, 1587–1605, 2021. |
|---|