  In order to address the growing need for more accurate space weather
predictions, a new model named EUHFORIA (EUropean Heliospheric FORecasting
Information Asset) was recently developed (Pomoell and Poedts, 2018). We
present first results of the performance assessment for the solar wind modeling
with EUHFORIA and identify possible limitations of its present setup. Using the
basic EUHFORIA 1.0.4. model setup with the default input parameters, we modeled
background solar wind (no coronal mass ejections) and compared the obtained
results with ACE, in situ measurements. For the need of statistical study we
developed a technique of combining daily EUHFORIA runs into continuous time
series. The combined time series were derived for the years 2008 (low solar
activity) and 2012 (high solar activity) from which in situ speed and density
profiles were extracted. We find for the low activity phase a better match
between model results and observations compared to the considered high activity
time interval. The quality of the modeled solar wind parameters is found to be
rather variable. Therefore, to better understand the obtained results we also
qualitatively inspected characteristics of coronal holes, sources of the
studied fast streams. We discuss how different characteristics of the coronal
holes and input parameters to EUHFORIA influence the modeled fast solar wind,
and suggest possibilities for the improvements of the model.

Solar and Stellar Astrophysics;Space Physics