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A Method for Generating Coherent Spatially Explicit Maps of Seasonal Paleoclimates From Site‐Based Reconstructions

Cleator, S.F., Harrison, S. P., Nichols, N. K., Prentice, I. C. and Roulstone, I. (2020) A Method for Generating Coherent Spatially Explicit Maps of Seasonal Paleoclimates From Site‐Based Reconstructions Journal of Advances in Modeling Earth Systems, 12 (1), e2019MS001.

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Abstract

We describe a method for reconstructing spatially explicit maps of seasonal paleoclimate variables from site‐based reconstructions. Using a 3‐D‐Variational technique, the method finds the best statistically unbiased, and spatially continuous, estimate of the paleoclimate anomalies through combining the site‐based reconstructions and a prior estimate of the paleoclimate state. By assuming a set of correlations in the error of the prior, the resulting climate is smoothed both from month to month and from grid cell to grid cell. The amount of smoothing can be controlled through the choice of two length‐scale values. The method is applied to a set of reconstructions of the climate of the Last Glacial Maximum (ca. 21,000 years ago) for southern Europe derived from pollen data with a prior derived from results from the third phase of the Palaeoclimate Modelling Intercomparison Project. We demonstrate how to choose suitable values for the smoothing length scales for the data sets used in the reconstruction.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
NameEmailORCID
Cleator, S.F.s.f.cleator@surrey.ac.uk
Harrison, S. P.
Nichols, N. K.
Prentice, I. C.
Roulstone, I.I.Roulstone@surrey.ac.uk
Date : 15 January 2020
Funders : Natural Environment Research Programme (NERC), ERC, European Union's Horizon 2020, AXA Chair Programme in Biosphere and Climate Impacts, Imperial College initiative on Grand Challenges in Ecosystems and the Environment, NERC National Centre for Earth Observation (NCEO)
DOI : 10.1029/2019MS001630
Copyright Disclaimer : © 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords : Paleoclimate; 3‐D variational; Correlation; Pollen reconstruction; Condition number; Resolution matrix
Depositing User : Diane Maxfield
Date Deposited : 17 Jan 2020 11:57
Last Modified : 15 Apr 2020 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/853334

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