This data presents the results of a variational analysis study based on the recently developed method by Gebhardt et al. to reconstruct paleo temperature fields on the typical scale of climate model output, providing the necessary basis for quantitative comparison of reconstructions and model results. Additionally, an extension of the approach takes into account the full statistics of the analysis error of the variational analysis to study the inherent uncertainties of the proxy data representing the imperfect paleo climate information and their impact on the field reconstruction. The method is applied to reconstruct realizations of monthly mean temperature anomaly fields in Europe for January and July in Europe as averages for several time slices in the Late Glacial and Holocene. Single realizations can differ substantially from the field of expectation values in terms of spatial patterns due to the inherent correlation of the spatial uncertainties of the paleo proxy data. Additionally, the fields of expectation values generally are much smoother than the realizations. This indicates that it is misleading to only consider expectation values. Further, the ensembles of realization are used to calculate robust error measures for area mean values, which is valuable for the quantitative comparison of the results of different time slices.
Each file contains the field of expectation values and different realizations of the reconstructed monthly mean temperature anomaly fields for January and July. The files also contain the mask for the reconstruction area and the used palaeo sites.
The data format is NetCDF. Panoply is one of many available viewer (availible for MacOS X, Windows and Linux). It could be downloaded from http://www.giss.nasa.gov/tools/panoply/