@misc{pyrina_statistical_seasonal_2021, 
author={Pyrina, M., Nonnenmacher, M., Wagner, S., Zorita, E.},
title={Statistical Seasonal Prediction of European Summer Mean Temperature Using Observational, Reanalysis, and Satellite Data},
year={2021},
howpublished = {journal article},
doi = {https://doi.org/10.1175/WAF-D-20-0235.1},
abstract = {Furthermore, the predictive potential of SSTs within different areas in the NA basin was tested. The predictive power of SSTs might increase, as in our case, when specific areas are selected. Forecasts based on extratropical SSTs achieve high prediction skill over South Europe. The combined prediction, using SM and SST predictor data, results in r≥0.5 over all European regions south of 50°N and east of 5°W. This is a better skill than the one achieved by other prediction schemes based on dynamical models. Our analysis highlights specific NA mid-latitude regions that are more strongly connected to summer mean European temperature.},
note = {Online available at: \url{https://doi.org/10.1175/WAF-D-20-0235.1} (DOI). Pyrina, M.; Nonnenmacher, M.; Wagner, S.; Zorita, E.: Statistical Seasonal Prediction of European Summer Mean Temperature Using Observational, Reanalysis, and Satellite Data. Weather and Forecasting. 2021. vol. 36, no. 4, 1537-1560. DOI: 10.1175/WAF-D-20-0235.1}}