How to cite this Dataset
Cleator, Sean, Harrison, Sandy, Nichols, Nancy, Prentice, Iain Colin and Roulstone, Ian (2019): A new multi-variable benchmark for Last Glacial Maximum climate simulations. University of Reading. Dataset. https://doi.org/10.17864/1947.206
Description
Reconstruction of climate anomalies for the Last Glacial Maximum (LGM, ca 21,000 years ago), made by combining pollen based reconstructions (from Bartlein et al. 2011) and averaged outputs of LGM simulations from the 3rd round of the Palaeoclimate Model Intercomparison Project (PMIP, Braconnot et al. 2011), under a variational data assimilation technique. This reconstruction is designed to be used for data-model comparison, specifically against the results of PMIP4. The dataset consists of 6 variables: moisture index (the ratio precipitation and equilibrium evapotranspiration), mean annual precipitation (mm), mean annual temperature (degrees C), mean temperature of the coldest month (degrees C), mean temperature of the warmest month (degrees C), growing degree days above 5 degrees C (day degrees C). The standard deviation of these variables is also given.
This dataset supersedes the version published at http://dx.doi.org/10.17864/1947.197, where the method of accounting for CO2 change was being applied incorrectly.
Resource Type: | Dataset |
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Creators: | Cleator, Sean ORCID: https://orcid.org/0000-0001-9602-1989, Harrison, Sandy ORCID: https://orcid.org/0000-0001-5687-1903, Nichols, Nancy, Prentice, Iain Colin and Roulstone, Ian |
Rights-holders: | Sean F. Cleator, University of Surrey, University of Reading, Imperial College London |
Data Publisher: | University of Reading |
Publication Year: | 2019 |
Data last accessed: | 5 November 2024 |
DOI: | https://doi.org/10.17864/1947.206 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/206 |
Organisational units: | Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science Science > School of Mathematical, Computational and Physical Sciences > Department of Mathematics and Statistics |
Participating Organisations: | University of Surrey, University of Reading, Imperial College London |
Keywords: | Last Glacial Maximum, reconstruction, pollen, PMIP3, 3D-Var |
Rights: | |
Data Availability: | OPEN |
Available Versions of this Item
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A new multi-variable benchmark for Last Glacial Maximum climate simulations. (deposited 28 Mar 2019 09:26)
- A new multi-variable benchmark for Last Glacial Maximum climate simulations. (deposited 02 May 2019 13:12) [Currently Displayed]
Related resources
- Bartlein et al. 2011 (Publication)
- Braconnot et al. 2011 (Publication)