Articles | Volume 12, issue 1
https://doi.org/10.5194/asr-12-187-2015
https://doi.org/10.5194/asr-12-187-2015
29 Jul 2015
 | 29 Jul 2015

Comparison of regional and global reanalysis near-surface winds with station observations over Germany

A. K. Kaiser-Weiss, F. Kaspar, V. Heene, M. Borsche, D. G. H. Tan, P. Poli, A. Obregon, and H. Gregow

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Cited articles

Bichet, A., Wild, M., Folini, D., and Schär, C.: Causes for decadal variations of wind speed over land: Sensitivity studies with a global climate model. Geophys. Res. Lett., 39, L11701, https://doi.org/10.1029/2012GL051685, 2012.
Bollmeyer, C., Keller, J. D., Ohlwein, C., Wahl, S., Crewell, S., Friederichs, P., Hense, A., Keune, J., Kneifel, S., Pscheidt, I., Redl, S., and Steinke, S.: Towards a high-resolution regional reanalysis for the European CORDEX domain, Q. J. Roy. Meteorol. Soc., 141, 1–15, https://doi.org/10.1002/qj.2486, 2014.
Bosilovich, M. G., Kennedy, J., Dee, D., Allan, R., and O'Neill, A.: On the Reprocessing and Reanalysis of Observations for Climate. Climate Science for Serving Society: Research, Modelling and Prediction Priorities, edited by: Asrar, G. and Hurrell, J. W., Springer Netherlands, 51–71, 2013.
Dee, D. P.: Bias and data assimilation, Q. J. Roy. Meteorol. Soc., 131, 3323–3343, https://doi.org/10.1256/qj.05.137, 2005.
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Short summary
Wind speed measured at the German stations correlate well with reanalysis fields. Monthly means from two global reanalyses (ERA-20C, ERA-Interim) and one regional reanalysis (COSMO-REA6) were analysed and correlate well for the majority of the German stations. Thus we conclude that the monthly and seasonal anomalies recorded at these stations can be understood as representative for a spatial area comparable to the resolution of the reanalyses, at least for the recent years.