m
Fe)
T. Spangehl et al.: Intercomparing the quality of recent reanalyses for offshore wind farm planning
FINO1
annual mean wind speed [m s‘']
.(
10
7,
A
Dataset
REA6 100M —
REA2 100m == -
CERRA-fe 100m +++"
ERA5 100m ——
HoKliSim-De 100m - - -
NEWA 100M —
FINO1 102 m = =
9.5
35
a nn nn NND, DD, DT
9.76 CN) 02 0 %0,%O, 0,50, %D,
CA ACC ON CN N A
time [vear]
FINO1
annual mean wind speed [m s‘!]
%)
m
10.5
s
10
Fa
"
-
N
Dataset
REA6 100m —
REA2 100m == =
CERRA-fe 100m +++
ERA5 100m ——
4oKliSim-De 100m - - -
NEWA 100M —
FINO1 102m == =
a5
Q
35
.
Q <
Yo Yo % 7
time [year]
Q,
Figure 1. Annual mean wind speed at 100m for model based products at FINO1 grid points. Results are shown for (blue solid curve)
COSMO-REAG, (blue dashed curve) COSMO-REAZ2, (purple dotted curve) CERRA-Tfc, (cyan solid curve) ERAS5, (cyan dashed curve)
HoKliSim-De and (red solid curve) NEWA. Results obtained from FINO1 measurements at 102 m are additionally shown (bold black dashed
curve). The time period is (a) 1979-2020 and (b) 2004-2009.
Table 2. Bias of annual mean wind speed [m s” 11 at 100 m for model based products at FINO1 grid cells. FINO1 anemometer measurements
at 102 m are used as reference. NA stands for not available
Bias of annual mean wind speed [m s711 at 100m at FINO1 for different products
Year 2004 2005 2006 2007 2008 2009 2004-2009
COSMO-REA6 -—0.03 0.22 0.16 0.14 0.22 0.04
COSMO-REA2 NA NA NA 0.35 0.44 0.18
CERRA-fc —0.01 —0.07 0.00 —0.08 0.19 0.01
ZRA5S —0.22 —0.32 —0.31 -—0.28 -—0.08 -—0.21
AoKliSim-De —0.08 —0.07 —0.13 —0.13 —0.01 —0.17
NEWA NA -—0.38 -—-0.29 —047 —0.19 —0.26
NW, NNW), where each sector covers an angle of 22.5°, are
used to analyse the frequency distribution of the wind direc-
yon at heights near 100m. The analysis is performed for the
time period 2004 to 2009. First, results for the whole year
are discussed (Fig. 3). In a second step, the statistics of the
Adv. Sci. Res., 20, 109-128, 202
four seasons (DJF, MAM, JJA, SON) are briefly addressed
(Fig. Al).
The wind rose of the observations at FINO1 shows a max-
imum relative frequency of nearly 10 % at the SW sector and
slightly lower relative frequencies of about 9 % at the neigh-
bouring sectors SSW and WSW (Fig. 3e). Lower relative fre-
httos://doi.org/10.5194/asr-20-109-2023