A new multivariable benchmark for Last Glacial Maximum climate simulations

Cleator, Sean F.; Harrison, Sandy P.; Nichols, Nancy K.; Prentice, I. Colin; Roulstone, Ian

doi:https://doi.org/10.5194/cp-16-699-2020

Articles | Volume 16, issue 2

https://doi.org/10.5194/cp-16-699-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Paleoclimate Modelling Intercomparison Project phase 4 (PMIP4)...

https://doi.org/10.5194/cp-16-699-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 2

Research article

|

06 Apr 2020

Research article |

| 06 Apr 2020

A new multivariable benchmark for Last Glacial Maximum climate simulations

Sean F. Cleator, Sandy P. Harrison, Nancy K. Nichols, I. Colin Prentice, and Ian Roulstone

Supplement

https://doi.org/10.5194/cp-16-699-2020-supplement

Data sets

Make spatially coherent gridded maps of the palaeoclimate by combining site-based pollen reconstructions and climate model outputs using a conditioned 3D variational data assimilation method S. Cleator, S. P. Harrison, N. Nicholson, I. C. Prentice, and I. Roulstone https://doi.org/10.5281/zenodo.3719332

A new multi-variable benchmark for Last Glacial Maximum climate simulations S. Cleator, S. P. Harrison, N. Nicholson, I. C. Prentice, and I. Roulstone https://doi.org/10.17864/1947.244

Short summary

We present geographically explicit reconstructions of seasonal temperature and annual moisture variables at the Last Glacial Maximum (LGM), 21 000 years ago. The reconstructions use existing site-based estimates of climate, interpolated in space and time in a physically consistent way using climate model simulations. The reconstructions give a much better picture of the LGM climate and will provide a robust evaluation of how well state-of-the-art climate models simulate large climate changes.