Wind-Validation Comparison Weibull Report

Summary Tables

Validation was produced on 2023-02-07 at 10:36:01 using wind-validation version: 1.0.2.dev3+gef879e0.d20230120. This report gives a validation summary over multiple validation results to compare how different models perform on the same datasets. This report was made for 315 points obtained at 109 masts.

Table 1.1: The results of a validation between WAsP 12.7 vs Obs. for 315 points. Observed and Predicted are the mean observed and modelled values, respectively. ME is the mean error (WAsP 12.7 - Obs.), MAE is the mean absolute error and MAPE is the mean absolute percentage error. The power density is calculated for a standard air density of 1.225 kg m-3.
Variable Observed Predicted Mean error (bias) Mean abs. error Mean abs. percentage error
Wind speed 6.8 m/s 6.8 m/s 0.0 m/s 0.2 m/s 2.8 %
Power density 437.3 W/m2 438.5 W/m2 1.1 W/m2 21.4 W/m2 6.8 %
Table 1.2: Same table as Table 1.1 but for model WAsP 12.8.
Variable Observed Predicted Mean error (bias) Mean abs. error Mean abs. percentage error
Wind speed 6.8 m/s 6.8 m/s -0.0 m/s 0.1 m/s 2.2 %
Power density 437.3 W/m2 433.7 W/m2 -3.6 W/m2 17.5 W/m2 5.3 %

Summary map

Summary figures

Fig. 1: Histogram of percentage error in mean wind speed (MPE). Comparison between models for all 315 points/sites.
Fig. 2: Histogram of percentage error in mean power density (MPE). Comparison between models for all 315 points/sites.
Fig. 3.1: Comparison between models for each point/site.
Fig. 3.2: Comparison between models for each point/site.
Fig. 3.3: Comparison between models for each point/site.
Fig. 3.4: Comparison between models for each point/site.

Detailed validation

Table 2: detailed all-sector metrics for each of the 315 points.
Point/Site Name Power Density Mpe Model Wasp 12.7 Power Density Mpe Model Wasp 12.8 Wind Speed Mpe Model Wasp 12.7 Wind Speed Mpe Model Wasp 12.8
0 AnNinhDong -4.300000 -10.200000 -1.2 -5.8
1 AnNinhDong 3.300000 -0.800000 0.7 -1.6
2 AnNinhDong -7.300000 -9.900000 -2.3 -4.7
3 BBW02_WICCA 9.900000 7.200000 2.8 1.3
4 BBW02_WICCA 3.700000 2.700000 1.1 0.6
5 BBW02_WICCA 8.600000 8.600000 3.7 2.2
6 BWFZ01_WICCA 8.500000 5.500000 3.9 1.8
7 BWFZ01_WICCA 2.400000 1.600000 1.0 0.4
8 BWFZ01_WICCA 2.100000 0.800000 2.9 1.1
9 BWFZ02_WICCA 6.900000 2.000000 2.6 -0.4
10 BWFZ02_WICCA 1.800000 0.700000 0.8 0.1
11 BWFZ02_WICCA 0.600000 -1.900000 2.6 0.1
12 DaLoan 43.299999 37.900002 12.9 10.1
13 DaLoan 14.400000 11.400000 4.5 3.0
14 DaLoan 23.900000 21.600000 7.5 6.1
15 EPL_WICCA 4.200000 2.500000 2.1 0.8
16 EPL_WICCA 6.500000 4.000000 3.5 1.7
17 EPL_WICCA 5.800000 4.600000 2.7 0.8
18 EaDrang -15.200000 -12.100000 -6.7 -8.4
19 EaDrang -5.800000 -4.900000 -3.1 -4.0
20 EaDrang -12.900000 -11.100000 -5.1 -6.1
21 EaPhe -16.700001 -16.100000 -6.8 -9.0
22 EaPhe -10.800000 -9.900000 -4.3 -5.5
23 EaPhe -10.400000 -10.900000 -4.2 -5.4
24 HKZA_WICCA 8.900000 7.400000 3.8 2.2
25 HKZA_WICCA 2.300000 1.900000 1.0 0.5
26 HKZA_WICCA 0.800000 0.600000 1.6 0.2
27 HKZB_WICCA 9.500000 7.600000 4.1 2.2
28 HKZB_WICCA 2.500000 1.900000 1.0 0.6
29 HKZB_WICCA 0.900000 0.500000 1.6 0.0
30 HaiNinh -11.400000 -15.600000 -2.8 -7.2
31 HaiNinh -4.300000 -7.900000 -1.7 -3.8
32 HaiNinh -8.000000 -9.600000 -1.3 -3.7
33 IaDer 1.900000 -2.800000 2.6 -0.6
34 IaDer 0.400000 -1.400000 0.7 -0.8
35 IaDer -2.600000 -5.400000 0.3 -1.3
36 KonDong 12.500000 6.200000 5.5 2.2
37 KonDong 5.100000 2.300000 2.2 0.6
38 KonDong 3.200000 0.200000 2.1 0.4
39 LA_WICCA -1.100000 -2.200000 0.5 -0.7
40 LA_WICCA -0.700000 -1.800000 0.1 -0.9
41 LA_WICCA 0.100000 -1.100000 0.3 -0.3
42 LEG_WICCA -0.400000 -0.100000 0.7 0.2
43 LEG_WICCA 0.300000 0.100000 0.8 0.1
44 LEG_WICCA -0.200000 -0.100000 0.4 0.1
45 MyThanh 31.299999 23.799999 10.4 5.7
46 MyThanh 11.200000 7.900000 3.3 1.1
47 MyThanh 16.900000 13.400000 6.1 3.5
48 RB_WICCA -13.000000 -12.900000 -5.1 -5.5
49 RB_WICCA -10.400000 -10.400000 -3.9 -4.4
50 RB_WICCA 8.100000 10.000000 4.0 4.1
51 Sisal -3.400000 -5.200000 -7.4 -7.2
52 ThanHai 16.700001 12.700000 6.3 2.7
53 ThanHai 4.800000 3.700000 1.6 0.2
54 ThanHai 9.200000 8.100000 3.8 2.0
55 WM01 3.700000 0.700000 3.7 1.3
56 WM01 -2.200000 -2.300000 -1.3 -1.5
57 WM01 8.300000 3.800000 4.4 2.0
58 WM02 4.200000 0.500000 4.3 2.2
59 WM02 -6.500000 -6.600000 -2.6 -2.7
60 WM02 0.700000 -4.200000 2.0 -0.3
61 WM03 3.000000 -0.500000 2.9 1.0
62 WM03 -4.600000 -4.800000 -2.2 -2.4
63 WM03 -0.400000 -5.300000 1.2 -0.7
64 WM04 1.200000 -2.500000 0.6 -1.5
65 WM04 -2.800000 -3.000000 -1.1 -1.3
66 WM04 0.200000 -4.600000 0.9 -1.4
67 WM05 -2.600000 -5.500000 -0.2 -1.8
68 WM05 -1.200000 -1.500000 -0.8 -0.9
69 WM05 -7.300000 -10.600000 -2.3 -4.1
70 WM06 2.600000 0.000000 2.2 0.7
71 WM06 -2.700000 -2.800000 -1.2 -1.3
72 WM06 4.400000 1.300000 2.7 1.1
73 WM07 8.000000 4.500000 4.1 2.6
74 WM07 -4.400000 -4.600000 -1.7 -1.8
75 WM07 8.000000 4.400000 2.8 1.2
76 WM08 3.100000 -1.100000 1.6 -1.3
77 WM08 2.400000 1.800000 0.2 -0.1
78 WM08 3.700000 0.200000 1.5 -0.7
79 WM09 3.100000 0.400000 2.3 1.1
80 WM09 -2.400000 -2.500000 -1.0 -1.1
81 WM09 9.100000 6.300000 3.8 2.6
82 WM10 -5.400000 -7.700000 0.8 -1.2
83 WM10 1.000000 0.900000 0.8 0.7
84 WM10 16.700001 13.100000 7.4 5.2
85 WM12 -2.000000 -3.700000 1.2 -1.2
86 WM12 -1.100000 -1.200000 -0.2 -0.3
87 WM12 -1.000000 -2.600000 1.1 -1.2
88 WM13 2.200000 1.600000 0.7 0.1
89 WM13 -2.300000 -2.200000 -1.0 -1.1
90 WM13 1.200000 0.700000 0.4 -0.3
91 WM14 -1.400000 -3.700000 0.7 -0.9
92 WM14 -2.700000 -2.700000 -1.1 -1.2
93 WM14 3.000000 -2.900000 3.6 0.2
94 WM15 -4.100000 -0.600000 0.2 1.5
95 WM15 -4.200000 -3.600000 -1.4 -1.3
96 WM15 -5.000000 -1.100000 0.2 2.9
97 WM16 -3.100000 -3.500000 0.7 -0.0
98 WM16 -1.900000 -1.600000 -0.6 -0.7
99 WM16 -1.900000 -2.700000 1.1 0.4
100 WM17 -0.100000 1.500000 1.7 2.9
101 WM17 0.600000 0.700000 2.0 2.0
102 WM17 -0.800000 0.700000 -0.4 0.7
103 WM18 -4.600000 -0.500000 -0.7 1.8
104 WM18 -0.100000 -0.000000 0.0 0.1
105 WM18 -5.200000 -0.000000 -3.6 0.1
106 WM19 -19.299999 -4.100000 -7.1 -3.2
107 WM19 -2.100000 -0.800000 -0.7 -0.5
108 WM19 -15.900000 -11.600000 -9.2 -4.4
109 WMR_WICCA -2.000000 -1.800000 -0.9 -0.9
110 WMR_WICCA -4.500000 -3.800000 -3.0 -3.3
111 WMR_WICCA -5.100000 -4.600000 -2.4 -2.6
112 XuanHoa -8.300000 -14.000000 -0.2 -4.6
113 XuanHoa 2.500000 -2.400000 0.8 -1.1
114 XuanHoa -8.600000 -10.700000 -0.7 -2.9
115 adigala 4.800000 -0.100000 3.2 -0.0
116 adigala 7.500000 3.100000 2.8 -0.2
117 adigala 8.200000 -1.200000 4.3 0.5
118 asosabambasi -1.700000 -0.800000 0.7 -0.9
119 asosabambasi -1.900000 -0.700000 -1.1 -2.7
120 asosabambasi 2.300000 -3.000000 1.0 -0.6
121 aysha 12.100000 3.300000 6.9 3.1
122 aysha 8.000000 -0.300000 3.4 -0.2
123 aysha 32.099998 4.500000 12.1 1.4
124 bahawalpur -7.800000 1.800000 -0.9 2.5
125 bahawalpur -3.500000 8.000000 1.2 3.4
126 bahawalpur -6.200000 -1.300000 -3.3 1.4
127 borglum 2.600000 2.400000 0.5 0.3
128 cabauw -7.700000 3.000000 -4.4 -0.8
129 cabauw 2.000000 1.900000 -0.8 0.2
130 cabauw -10.100000 4.000000 -6.0 -0.7
131 chakri -7.300000 3.800000 -0.4 1.7
132 chakri -2.500000 11.500000 0.5 2.0
133 chakri -6.600000 -7.600000 0.1 3.0
134 chanka 7.800000 6.200000 2.1 1.4
135 chanka 2.400000 0.800000 0.7 -0.1
136 chanka 8.900000 6.900000 1.2 0.5
137 choma -10.500000 -5.000000 -2.7 -0.6
138 choma -3.200000 4.600000 0.3 1.9
139 choma -28.900000 -22.500000 -12.3 -8.3
140 deday 6.100000 4.600000 4.4 0.8
141 deday 7.200000 4.100000 3.3 0.1
142 deday 10.900000 1.100000 5.7 1.6
143 diredawa -17.299999 -19.700001 6.4 4.9
144 diredawa 7.700000 6.500000 4.6 3.5
145 diredawa -4.500000 -6.300000 8.2 6.6
146 ferrel 5.000000 -2.300000 1.6 -3.2
147 fino1 -0.400000 0.100000 0.1 -0.3
148 fino1 1.000000 1.300000 0.7 -0.3
149 fino1 -0.600000 -1.000000 0.0 -0.2
150 fino3 0.300000 -0.700000 1.1 -0.2
151 fino3 -2.500000 -3.400000 -0.1 -1.1
152 fino3 0.400000 0.200000 0.7 0.3
153 gode 9.100000 7.000000 2.2 1.5
154 gode 1.900000 -0.000000 -0.2 -0.8
155 gode 18.700001 16.799999 3.0 2.9
156 gwadar 6.300000 5.000000 3.4 -0.8
157 gwadar 10.400000 4.900000 3.8 -0.0
158 gwadar 6.500000 0.400000 1.4 -3.2
159 hamburg -12.100000 -7.700000 -9.2 -8.0
160 hamburg -4.100000 0.700000 -6.8 -4.7
161 hamburg 11.200000 11.100000 5.2 5.2
162 haripur 9.700000 7.000000 7.2 4.8
163 haripur 18.700001 14.600000 5.9 3.4
164 haripur -9.800000 -13.400000 1.2 -1.0
165 hoarafushi 15.700000 -2.100000 5.5 -2.2
166 hoarafushi 4.700000 -0.500000 1.5 -0.7
167 hoarafushi -35.700001 -39.799999 -9.6 -13.2
168 holkustzuid -4.600000 -4.600000 -1.7 -1.7
169 holkustzuid 1.400000 1.900000 1.5 0.3
170 holkustzuid 4.100000 3.700000 2.6 1.7
171 hornsrev -7.200000 -6.800000 -2.0 -2.5
172 hornsrev -6.200000 -5.200000 -2.0 -2.3
173 hornsrev -0.900000 -1.600000 -0.0 -0.2
174 hovsore 1.300000 -1.100000 0.4 -1.2
175 hovsore 2.600000 -0.800000 0.8 -0.4
176 hovsore 1.500000 -0.500000 0.3 -0.3
177 hudson_north 1.600000 2.400000 1.8 1.1
178 hudson_north 0.100000 0.200000 0.3 0.1
179 hudson_north -4.600000 -5.700000 -1.0 -1.1
180 hudson_south 0.300000 1.800000 1.5 1.3
181 hudson_south -0.400000 -0.100000 0.2 0.1
182 hudson_south -8.100000 -7.800000 -2.2 -1.5
183 ijmuiden 1.000000 -0.000000 1.0 -0.6
184 ijmuiden 2.900000 1.100000 2.0 -0.2
185 ijmuiden 3.400000 2.200000 2.0 1.0
186 kebribeyah 1.900000 -2.100000 1.2 -0.3
187 kebribeyah 3.400000 0.400000 1.6 0.3
188 kebribeyah 5.200000 0.800000 0.9 -0.6
189 khajura -32.099998 -9.200000 -6.7 -2.0
190 khajura -12.000000 0.900000 -1.0 1.1
191 khajura -22.900000 -9.900000 -5.8 -3.2
192 kivenlahti -32.099998 -19.700001 -15.7 -13.8
193 lindenberg -12.500000 6.400000 -6.5 -1.7
194 lindenberg -1.800000 0.500000 -1.5 -0.5
195 lindenberg 0.500000 3.900000 -0.6 1.8
196 lusaka -11.300000 -6.700000 -3.5 -1.7
197 lusaka -8.900000 -4.100000 -2.2 -0.9
198 lusaka -19.799999 -16.799999 -12.1 -9.9
199 m1_larumorosa -2.200000 -4.400000 1.5 -0.1
200 m1_larumorosa -1.700000 -3.200000 1.2 -0.2
201 m1_larumorosa -0.100000 -3.000000 1.4 -0.3
202 m2_merida -10.900000 -12.200000 -5.8 -6.6
203 m2_merida -8.300000 -8.200000 -4.2 -4.9
204 m2_merida -11.000000 -14.000000 -7.0 -7.9
205 m3_cuauhtemoc 2.300000 0.600000 2.5 1.5
206 m3_cuauhtemoc 2.800000 2.200000 2.2 1.2
207 m3_cuauhtemoc 13.300000 11.200000 5.5 4.6
208 m4_certe -5.400000 -4.800000 -1.3 -0.9
209 m4_certe -7.500000 -6.700000 -1.6 -1.2
210 m4_certe -13.000000 -12.800000 -3.7 -3.3
211 m5_ojuelos 0.100000 -3.100000 1.7 0.3
212 m5_ojuelos 3.400000 4.000000 2.1 0.8
213 m5_ojuelos 4.800000 0.600000 2.6 0.9
214 m6_sanfernando -4.100000 -6.200000 -1.4 -2.5
215 m6_sanfernando -3.900000 -5.300000 -1.6 -2.6
216 m6_sanfernando 9.400000 6.600000 2.9 1.7
217 malawi -16.500000 -13.700000 -5.8 -4.8
218 malawi -14.600000 -11.000000 -5.0 -4.4
219 malawi -16.400000 -15.500000 -9.1 -7.8
220 mansa -10.800000 -9.200000 -3.6 -3.1
221 mansa -6.600000 -5.100000 -1.5 -1.3
222 mansa -1.700000 -1.600000 -3.3 -2.7
223 maymekden 5.800000 2.300000 2.7 0.6
224 maymekden 4.800000 1.400000 2.5 0.5
225 maymekden 15.500000 10.300000 4.9 2.8
226 mega -7.200000 -10.900000 -1.9 -3.9
227 mega -3.200000 -5.900000 -1.1 -2.9
228 mega -5.900000 -10.600000 -1.3 -3.6
229 mpika -2.000000 -0.600000 0.5 1.0
230 mpika -0.300000 1.000000 0.3 0.6
231 mpika -3.500000 -2.600000 -2.1 -1.5
232 mwinilunga -18.200001 -7.400000 -5.4 -1.4
233 mwinilunga -14.700000 -6.200000 -3.9 -1.3
234 mwinilunga -42.299999 -31.400000 -18.5 -11.6
235 nwtc -4.100000 -1.000000 4.9 3.9
236 nwtc 1.000000 4.300000 3.5 3.1
237 nwtc -10.600000 -9.300000 -0.7 -0.9
238 oesterild 13.000000 0.100000 2.2 -1.8
239 oesterild 4.600000 4.100000 1.4 1.2
240 oesterild -3.400000 -7.100000 -0.8 -2.3
241 owez -1.300000 -1.600000 1.6 0.2
242 owez 2.600000 1.800000 1.0 0.0
243 owez 1.400000 0.200000 2.7 0.2
244 peshawar 9.700000 16.900000 8.0 7.8
245 peshawar 6.200000 14.800000 4.4 3.8
246 peshawar 20.600000 17.700001 12.8 13.1
247 petauke -3.800000 -2.700000 -0.8 -0.6
248 petauke -2.400000 0.600000 -0.3 -0.1
249 petauke 7.700000 6.800000 2.2 2.1
250 pidari -8.300000 0.100000 -2.8 -1.8
251 pidari -7.600000 -0.100000 -2.1 -1.6
252 pidari 3.200000 1.500000 -3.4 -2.3
253 quaidabad -11.000000 -6.600000 0.7 1.2
254 quaidabad -2.800000 3.100000 2.1 2.1
255 quaidabad -14.600000 -14.700000 -3.4 -2.2
256 rampion 7.100000 3.600000 4.1 1.4
257 rampion 0.500000 -0.300000 1.1 0.0
258 rampion 3.300000 3.200000 1.1 1.0
259 rune 2.000000 1.200000 4.2 3.3
260 rune -9.400000 -12.700000 -2.0 -3.6
261 rune 11.100000 13.400000 6.8 7.3
262 ryningsnas -6.500000 -4.900000 -2.8 -2.1
263 ryningsnas -17.799999 -8.800000 -8.5 -5.7
264 ryningsnas -5.300000 -2.300000 -2.7 -1.8
265 sadiqabad -10.200000 0.900000 -1.3 2.7
266 sadiqabad -3.000000 10.100000 1.9 4.8
267 sadiqabad -10.800000 -5.700000 -5.4 -0.0
268 sanghar -6.700000 -1.700000 -1.7 0.7
269 sanghar -0.200000 5.300000 0.7 2.3
270 sanghar 1.900000 6.800000 -1.3 2.0
271 schooner -1.800000 -1.900000 -0.3 -0.4
272 schooner -2.400000 -2.600000 -0.1 -0.4
273 schooner -1.200000 -1.300000 0.1 -0.1
274 siri 3.200000 0.100000 1.5 0.3
275 siri 1.600000 -0.000000 1.1 0.4
276 siri 2.600000 0.100000 1.2 0.2
277 sitapur -8.500000 -8.400000 -2.6 -4.5
278 sitapur -17.400000 -17.000000 -2.1 -4.2
279 sitapur -10.800000 -14.200000 -8.1 -9.7
280 sprogoe -0.400000 0.900000 0.2 -0.1
281 station_nord 15.100000 -0.000000 5.6 1.4
282 station_nord 16.000000 6.700000 9.2 6.4
283 station_nord 7.400000 0.200000 2.8 0.9
284 stmg 2.700000 1.300000 1.3 -0.3
285 stmg 0.200000 -0.700000 0.1 -0.5
286 stmg -4.000000 -4.000000 -1.6 -1.7
287 sujawal -1.600000 -3.300000 -0.9 -1.5
288 sujawal 0.300000 -0.600000 0.1 -0.7
289 sujawal -0.600000 -3.700000 -1.2 -1.8
290 sure 5.100000 3.000000 4.9 2.8
291 sure 5.700000 3.800000 3.9 1.6
292 sure 11.300000 6.700000 7.3 5.2
293 tandoghulamali -2.500000 -2.200000 -1.5 -0.8
294 tandoghulamali -1.000000 0.100000 -0.1 0.1
295 tandoghulamali -3.300000 -4.400000 -3.3 -2.3
296 taqa 3.300000 -1.500000 2.7 -0.2
297 taqa 4.600000 -1.100000 3.7 0.2
298 taqa 2.000000 -0.100000 1.8 0.6
299 thulusdhoo 20.400000 2.400000 5.9 -1.9
300 thulusdhoo 6.200000 1.100000 1.7 -0.5
301 thulusdhoo -58.299999 -60.599998 -25.0 -28.1
302 tm03 -3.900000 -3.400000 -1.6 -3.4
303 tuluguled -16.400000 -17.799999 -4.0 -4.7
304 tuluguled 0.800000 -1.600000 0.9 0.1
305 tuluguled 10.500000 5.800000 2.5 1.3
306 umerkot -3.400000 -3.500000 -1.8 -1.3
307 umerkot -2.000000 -0.400000 -0.7 -0.6
308 umerkot 2.000000 -0.500000 -2.1 -1.3
309 utsira -7.200000 -9.400000 -1.4 -3.5
310 utsira 0.500000 -1.000000 0.3 -0.4
311 utsira -2.300000 -6.900000 0.1 -2.9
312 ziway -4.900000 -9.400000 -0.7 -3.2
313 ziway -0.700000 -4.200000 1.0 -1.2
314 ziway 0.900000 -5.900000 -0.5 -3.4

References

DTU Wind Energy, Wind-validation, (2021) https://gitlab.windenergy.dtu.dk/windsider/wind-validation/