Chinese student work on storms done at HZG. von Storch Hans Institute of Coastal Research Helmholtz-Zentrum Geesthacht Germany. Chen Fei 陈飞. Dissertation completed in 2013 Multi-decadal climatology of Polar Lows over the North Pacific by regional climate model Publications:
von Storch Hans
Institute ofCoastal Research
Supervision: Hans von Storch and Beate Geyer
Fig. 1. Orography and station locations
Table 1. Statistical metrics and their definition
Evaluation of the wind speed time series
Table 2. Statistical measuresofmodeledandobserved wind speeds.
Modeled wind speeds underestimate the records of observed wind in the range of 0.0 m s-1 -1.0 m s-1,
and fit to the observation at high wind speeds.
Fig. 2. Frequency distribution of wind speeds
Fig. 3. Comparison of wind speed bias (blue) and STDE (red) between forcing datasets and downscaled results: (a, b, c) for land stations and (d, e, f) for offshore stations
Which one rank the best among forcing datasets and among downscaled results?
Fig. 4. Inter-comparisons of different forcing datasets and their downscaled wind speeds: (a, b) for land stations and (c, d) for offshore stations.
Supervision: Jiang Wenshengand Ralf Weisse
Best Track Data (CMA)
Hindcasting wind data (OUC-Gao)
Six typhoons are selected from 1960
which impacted the Bohai Sea
The study domain and locations of Bohai Sea, Yellow Sea
Table1. The comparison of Vmax(m/s)
Both regional model data sets are better than the reference data ERA-int. (white and red)
The HZG-7 km (delei) is better when considering all the wind than the OUC-gao, but when considering only the wind speed above 15m/s the OUC-gao is better than the HZG-7km.
The results for HZG-55km are similar
Skill scores of the OUC and HZG data sets:redandwhite – betterthan ERA-int
Two storm surge cases in Bohai Sea are selected to test the performance of the wind data from different data sets