@misc{schenk_reconstruction_of_2012, 
author={Schenk, F., Zorita, E.},
title={Reconstruction of high resolution atmospheric fields for Northern Europe using analog-upscaling},
year={2012},
howpublished = {journal article},
doi = {https://doi.org/10.5194/cp-8-1681-2012},
abstract = {Different settings of the AM are evaluated in this study for the period 1958–2007 to estimate the robustness of the reconstruction and its ability to replicate high and low-frequency variability, realistic probability distributions and extremes of different meteorological variables. It is shown that the AM can realistically reconstruct variables with a strong physical link to daily sea-level pressure on both a daily and monthly scale. However, to reconstruct low-frequency decadal and longer temperature variations, additional monthly mean station temperature as predictor is required. Our results suggest that the AM is a suitable upscaling tool to predict daily fields taken from regional climate simulations based on sparse historical station data.},
note = {Online available at: \url{https://doi.org/10.5194/cp-8-1681-2012} (DOI). Schenk, F.; Zorita, E.: Reconstruction of high resolution atmospheric fields for Northern Europe using analog-upscaling. Climate of the Past. 2012. vol. 8, no. 5, 1681-1703. DOI: 10.5194/cp-8-1681-2012}}