@misc{li_testing_reanalyses_2016, 
author={Li, D., Storch, H.v., Geyer, B.},
title={Testing Reanalyses in Constraining Dynamical Downscaling},
year={2016},
howpublished = {journal article},
doi = {https://doi.org/10.2151/jmsj.2015-044},
abstract = { The downscaling simulations driven by ERAint, JRA55, and CFSR are consistent with each other in the reproduction of local wind speed and direction; the simulations driven by ERAint and JRA55 are slightly better for strong winds and those driven by CFSR are better for light winds. All three simulations generate local wind estimates that are superior to those of the simulation driven by CCLM_55km. This superiority reflects the better quality of the CFSR, ERAint, and JRA55 reanalyses with regard to assimilated local observations compared with the CCLM_55km hindcast, which exploits only upper-air large scale NCEP1 wind fields.},
note = {Online available at: \url{https://doi.org/10.2151/jmsj.2015-044} (DOI). Li, D.; Storch, H.; Geyer, B.: Testing Reanalyses in Constraining Dynamical Downscaling. Journal of the Meteorological Society of Japan. 2016. vol. 94A, 47-68. DOI: 10.2151/jmsj.2015-044}}