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.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-16-699-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Apr 2020
Research article |
| 06 Apr 2020
| 06 Apr 2020
A new multivariable benchmark for Last Glacial Maximum climate simulations
Department of Mathematics, University of Surrey, Guildford GU2 7XH, UK
Sandy P. Harrison
School of Archaeology, Geography and Environmental Science, University of
Reading, Whiteknights, Reading, RG6 6AH, UK
Nancy K. Nichols
Department of Mathematics & Statistics, University of Reading,
Whiteknights, Reading RG6 6AX, UK
I. Colin Prentice
AXA Chair in Biosphere and Climate Impacts, Department of Life Sciences,
Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY,
UK
Ian Roulstone
Department of Mathematics, University of Surrey, Guildford GU2 7XH, UK
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- Identifying Global‐Scale Patterns of Vegetation Change During the Last Deglaciation From Paleoclimate Networks M. Adam et al. 10.1029/2021PA004265
3 citations as recorded by crossref.
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Latest update: 29 Jun 2024
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.
We present geographically explicit reconstructions of seasonal temperature and annual moisture...
