These data are a synthesis of existing and available quantitative reconstructions of six bioclimatic variables based on fossil pollen for the mid-Holocene and the Last Glacial Maximum. The reconstructions are expressed as anomalies and associated uncertainties on a 2×2-degree grid. The data were gridded by simple averaging of the reconstructions in individual grid cells, and the uncertainties were obtained by pooling the prediction error estimates of individual reconstructions. No attempt was made to interpolate or fill in empty grid points.
Please see the original paper for exact definitions of the time slices used here, the specific approaches used in synthesizing data from multiple sources, and recommendations for the use of the data in data-model comparisons.
The gridded reconstructions are available in two formats (binary and text), with one file per variable and per period:
Where the variables are…
… and the periods are:
variable_delta_period_ALL_grid_2x2 data file contains the following variables:
Latitude of grid-cell center (degrees North)
Longitude of grid-cell center (degrees East)
Grid-cell mean of reconstructed anomalies
Grid-cell mean of standard errors of estimates
t-statistic = mean anomaly / mean standard error of estimate
= variable_anm_mean / variable_se_mean
Significance of the t-statistic: -1, 0, 1
= sign(variable_tstat) if abs(variable_tstat) > 2
= 0 if abs(variable_tstat) < = 2
Value of anm_mean if the t-statistic was significant
= variable_anm_mean if variable_sig <> 0
= 0 if variable_sig == 0
Number of sites in the grid cell
variable_delta_period_ALL_grid_2x2_exextended files have the same data as the corresponding
variable_delta_period_ALL_grid_2x2files, and include additional (unpublished) speleothem data and a few sites from the Shakun et al. (2012) appendix and from the Schmittner et al. (2011) Science paper. These have been used in the Harrison et al. (2013) benchmarking paper.
You can get the author(s) contact details on the Journal page
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