the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets
Manuel Chevalier
Related authors
Scientists study past climate change using proxies (e.g. pollen) and models. Proxies offer detailed snapshots but are limited in number, while models provide broader coverage but at low resolution. Models are typically downscaled to 30 arcmin, but it is unclear if this is sufficient. We found that increasing models to 5 arcmin does not improve their coherence with climate reconstructed from pollen data. Optimal model resolution depends on research need, balancing detail with error.
Scientists study past climate change using proxies (e.g. pollen) and models. Proxies offer detailed snapshots but are limited in number, while models provide broader coverage but at low resolution. Models are typically downscaled to 30 arcmin, but it is unclear if this is sufficient. We found that increasing models to 5 arcmin does not improve their coherence with climate reconstructed from pollen data. Optimal model resolution depends on research need, balancing detail with error.