FLAPs Statistics - Percentiles CHEW1

Percentile Classes

Day of the year	Lowest	10th	25th	50th	75th	90th	Highest	Avg
001	1.0	1.2	1.3	1.5	1.6	1.8	2.0	1.4
002	1.1	1.1	1.3	1.5	1.6	1.8	1.9	1.5
003	1.1	1.2	1.4	1.5	1.7	1.8	1.9	1.6
004	1.1	1.2	1.3	1.5	1.5	1.7	2.0	1.5
005	1.1	1.2	1.4	1.5	1.6	1.7	1.8	1.5
006	1.2	1.3	1.5	1.5	1.7	1.8	1.8	1.5
007	1.2	1.3	1.4	1.4	1.6	1.6	1.8	1.5
008	1.1	1.2	1.3	1.5	1.6	1.8	1.9	1.5
009	1.2	1.3	1.4	1.5	1.6	1.7	1.8	1.5
010	1.2	1.3	1.4	1.5	1.7	2.0	2.1	1.5
011	1.2	1.3	1.4	1.5	1.7	1.9	2.1	1.4
012	1.0	1.1	1.2	1.5	1.7	1.8	2.0	1.3
013	1.0	1.1	1.3	1.5	1.7	1.9	2.1	1.3
014	1.1	1.2	1.4	1.6	1.7	1.8	2.1	1.4
015	1.1	1.2	1.3	1.4	1.6	1.7	1.9	1.4
016	0.9	1.0	1.3	1.5	1.7	1.8	1.9	1.3
017	1.0	1.2	1.4	1.6	1.7	1.8	1.9	1.4
018	1.0	1.2	1.3	1.6	1.8	1.9	2.0	1.4
019	0.9	1.0	1.2	1.6	1.8	1.9	2.0	1.2
020	0.9	1.0	1.2	1.4	1.6	1.6	1.7	1.2
021	1.1	1.2	1.3	1.4	1.5	1.7	1.8	1.3
022	1.1	1.2	1.3	1.4	1.5	1.6	1.6	1.4
023	1.2	1.3	1.4	1.5	1.6	1.6	1.7	1.4
024	1.2	1.3	1.4	1.5	1.7	1.8	1.9	1.4
025	1.1	1.2	1.3	1.5	1.7	1.8	1.9	1.5
026	1.2	1.3	1.4	1.6	1.7	1.9	2.0	1.5
027	0.8	1.0	1.3	1.5	1.7	1.9	2.1	1.1
028	0.9	1.1	1.4	1.5	1.7	1.8	2.1	1.3
029	0.9	1.1	1.3	1.4	1.7	1.8	2.1	1.3
030	1.0	1.2	1.4	1.5	1.7	1.8	2.0	1.4
031	1.0	1.3	1.4	1.5	1.7	1.8	2.1	1.4
032	0.8	1.0	1.3	1.4	1.6	1.8	2.0	1.2
033	1.0	1.2	1.3	1.5	1.7	1.8	1.9	1.3
034	1.1	1.3	1.4	1.5	1.7	1.8	1.9	1.4
035	1.2	1.3	1.4	1.6	1.7	1.9	2.0	1.5
036	1.2	1.3	1.4	1.5	1.7	1.8	2.0	1.5
037	1.1	1.2	1.3	1.4	1.6	1.7	1.8	1.4
038	1.0	1.2	1.4	1.5	1.7	1.8	1.9	1.5
039	1.1	1.2	1.4	1.5	1.7	1.8	2.1	1.5
040	1.3	1.3	1.4	1.6	1.8	1.9	2.1	1.6
041	1.3	1.4	1.5	1.7	1.8	1.8	2.1	1.6
042	1.3	1.4	1.5	1.7	1.8	1.9	2.1	1.6
043	1.2	1.4	1.5	1.7	1.8	1.9	2.0	1.6
044	1.3	1.3	1.5	1.6	1.7	1.8	1.9	1.6
045	1.2	1.3	1.4	1.5	1.6	1.7	1.9	1.6
046	1.2	1.3	1.5	1.6	1.8	1.8	2.0	1.7
047	1.2	1.3	1.5	1.6	1.8	1.9	2.0	1.6
048	1.2	1.3	1.4	1.6	1.7	1.8	1.9	1.6
049	1.1	1.2	1.4	1.5	1.6	1.7	1.9	1.6
050	1.1	1.2	1.4	1.5	1.7	1.8	1.9	1.6
051	1.2	1.3	1.5	1.6	1.7	1.8	1.9	1.7
052	1.1	1.2	1.5	1.6	1.7	1.8	1.9	1.7
053	1.2	1.3	1.5	1.6	1.7	1.8	1.9	1.7
054	1.1	1.2	1.3	1.5	1.6	1.8	1.9	1.3
055	1.1	1.2	1.3	1.5	1.6	1.8	1.9	1.4
056	1.2	1.3	1.4	1.6	1.7	1.8	1.9	1.6
057	1.2	1.3	1.4	1.6	1.7	1.9	2.0	1.6
058	1.3	1.4	1.4	1.6	1.7	1.9	2.0	1.7
059	1.3	1.4	1.5	1.6	1.7	1.9	2.0	1.7
060	1.3	1.3	1.4	1.5	1.6	1.7	2.0	1.6
061	1.3	1.4	1.5	1.6	1.7	1.8	1.9	1.6
062	1.3	1.4	1.5	1.6	1.7	1.8	1.9	1.6
063	1.2	1.2	1.3	1.5	1.7	1.8	1.8	1.5
064	1.2	1.2	1.3	1.4	1.6	1.7	1.8	1.4
065	1.1	1.2	1.3	1.4	1.6	1.8	1.9	1.4
066	1.1	1.2	1.3	1.5	1.7	1.8	1.9	1.3
067	1.1	1.2	1.3	1.5	1.7	1.8	1.9	1.4
068	1.1	1.2	1.4	1.6	1.7	1.8	1.9	1.5
069	1.3	1.4	1.5	1.6	1.8	1.8	1.9	1.6
070	1.2	1.3	1.4	1.6	1.7	1.8	1.9	1.6
071	1.1	1.3	1.4	1.5	1.7	1.8	1.9	1.6
072	1.2	1.3	1.4	1.6	1.7	1.8	1.8	1.5
073	1.2	1.3	1.4	1.6	1.7	1.8	1.8	1.6
074	1.2	1.4	1.5	1.6	1.7	1.8	1.9	1.6
075	1.2	1.4	1.5	1.7	1.8	1.9	2.0	1.7
076	1.1	1.2	1.3	1.5	1.7	1.8	1.9	1.4
077	1.1	1.2	1.3	1.4	1.6	1.7	1.8	1.3
078	1.2	1.2	1.3	1.5	1.7	1.8	1.9	1.4
079	1.1	1.3	1.3	1.5	1.7	1.8	2.0	1.4
080	1.2	1.4	1.4	1.6	1.7	1.8	1.9	1.6
081	1.2	1.3	1.5	1.6	1.7	1.8	2.0	1.7
082	1.2	1.4	1.5	1.7	1.8	1.9	2.0	1.7
083	1.2	1.4	1.5	1.6	1.8	1.9	1.9	1.6
084	1.2	1.3	1.4	1.6	1.7	1.9	2.0	1.7
085	1.3	1.3	1.4	1.6	1.7	1.8	1.9	1.7
086	1.2	1.3	1.5	1.6	1.7	1.9	1.9	1.6
087	1.3	1.4	1.5	1.6	1.7	1.8	1.9	1.6
088	1.2	1.4	1.5	1.6	1.8	1.9	2.0	1.5
089	1.2	1.3	1.4	1.6	1.7	1.8	2.0	1.6
090	1.3	1.4	1.5	1.6	1.8	1.9	2.0	1.7
091	1.3	1.4	1.5	1.7	1.8	1.9	2.0	1.7
092	1.3	1.4	1.5	1.7	1.8	1.9	2.0	1.7
093	1.2	1.4	1.5	1.7	1.9	1.9	2.1	1.7
094	1.3	1.4	1.5	1.7	1.9	2.0	2.1	1.7
095	1.3	1.4	1.5	1.6	1.8	1.9	2.0	1.7
096	1.3	1.4	1.5	1.6	1.8	1.9	1.9	1.7
097	1.2	1.4	1.5	1.6	1.8	1.8	1.9	1.6
098	1.2	1.4	1.5	1.6	1.7	1.8	1.9	1.5
099	1.2	1.3	1.4	1.5	1.6	1.7	1.8	1.5
100	1.2	1.3	1.5	1.6	1.7	1.8	1.9	1.6
101	1.3	1.4	1.5	1.6	1.7	1.8	2.0	1.6
102	1.3	1.4	1.5	1.7	1.8	2.0	2.3	1.6
103	1.2	1.4	1.5	1.6	1.7	1.8	1.9	1.7
104	1.2	1.4	1.4	1.6	1.7	1.9	1.9	1.7
105	1.2	1.3	1.5	1.7	1.8	1.9	2.0	1.8
106	1.2	1.3	1.4	1.6	1.8	1.8	1.9
107	1.3	1.3	1.4	1.6	1.8	1.9	1.9
108	1.3	1.3	1.5	1.7	1.8	1.9	2.0
109	1.3	1.4	1.5	1.6	1.8	1.8	1.9
110	1.3	1.4	1.5	1.6	1.8	1.9	2.0
111	1.3	1.4	1.5	1.6	1.8	1.9	1.9
112	1.4	1.4	1.5	1.7	1.8	1.8	1.9
113	1.3	1.4	1.5	1.6	1.7	1.8	1.9
114	1.3	1.3	1.4	1.5	1.7	1.8	1.8
115	1.3	1.4	1.5	1.6	1.7	1.8	1.9
116	1.3	1.4	1.6	1.6	1.8	1.9	2.0
117	1.2	1.4	1.5	1.6	1.8	1.9	2.0
118	1.2	1.4	1.5	1.6	1.8	1.9	2.1
119	1.2	1.3	1.5	1.7	1.8	2.0	2.0
120	1.2	1.3	1.5	1.7	1.9	2.0	2.0
121	1.3	1.4	1.5	1.7	1.9	2.0	2.1
122	1.2	1.3	1.5	1.7	1.8	1.9	2.0
123	1.2	1.3	1.5	1.7	1.8	1.9	2.0
124	1.3	1.4	1.5	1.6	1.8	1.8	1.8
125	1.4	1.4	1.5	1.7	1.8	1.8	1.8
126	1.4	1.4	1.5	1.6	1.7	1.8	1.9
127	1.3	1.4	1.5	1.6	1.8	1.9	2.0
128	1.3	1.5	1.6	1.7	1.8	1.9	2.0
129	1.3	1.5	1.6	1.7	1.8	1.9	2.0
130	1.3	1.5	1.6	1.8	1.9	2.0	2.1
131	1.3	1.5	1.6	1.8	1.9	2.0	2.1
132	1.3	1.4	1.6	1.7	1.9	2.0	2.1
133	1.2	1.4	1.5	1.7	1.8	1.9	2.0
134	1.2	1.3	1.5	1.7	1.8	1.9	2.0
135	1.3	1.4	1.5	1.7	1.8	1.9	2.0
136	1.3	1.4	1.6	1.7	1.8	1.9	2.0
137	1.3	1.5	1.6	1.7	1.8	1.9	2.0
138	1.3	1.4	1.5	1.7	1.8	1.9	2.0
139	1.3	1.5	1.6	1.7	1.8	1.9	2.0
140	1.4	1.4	1.6	1.7	1.8	1.9	1.9
141	1.3	1.5	1.5	1.7	1.8	1.8	1.9
142	1.3	1.5	1.5	1.6	1.8	1.8	1.9
143	1.3	1.4	1.6	1.7	1.8	1.9	2.0
144	1.3	1.4	1.6	1.7	1.8	1.9	2.0
145	1.3	1.4	1.6	1.7	1.9	2.0	2.1
146	1.3	1.4	1.6	1.8	1.9	2.0	2.2
147	1.3	1.4	1.6	1.8	2.0	2.1	2.2
148	1.4	1.4	1.6	1.8	2.0	2.1	2.2
149	1.4	1.5	1.6	1.8	1.9	2.0	2.2
150	1.3	1.4	1.6	1.8	1.9	2.0	2.1
151	1.3	1.4	1.5	1.7	1.8	1.9	1.9
152	1.3	1.4	1.5	1.7	1.8	1.8	1.9
153	1.3	1.4	1.5	1.6	1.7	1.8	1.8
154	1.4	1.5	1.5	1.7	1.8	1.8	1.9
155	1.3	1.5	1.6	1.7	1.8	1.9	2.0
156	1.3	1.4	1.6	1.7	1.8	1.9	2.0
157	1.3	1.4	1.6	1.7	1.8	2.0	2.1
158	1.3	1.4	1.6	1.7	1.8	2.0	2.1
159	1.3	1.4	1.6	1.8	1.9	2.0	2.0
160	1.3	1.4	1.5	1.8	1.9	2.0	2.1
161	1.3	1.4	1.5	1.7	1.9	2.0	2.1
162	1.3	1.4	1.6	1.8	1.9	2.0	2.0
163	1.3	1.4	1.6	1.8	1.9	2.0	2.1
164	1.4	1.5	1.6	1.8	1.9	1.9	2.1
165	1.4	1.4	1.6	1.7	1.8	1.9	2.1
166	1.4	1.5	1.6	1.7	1.8	1.9	2.0
167	1.3	1.5	1.6	1.7	1.8	1.9	2.0
168	1.4	1.4	1.5	1.7	1.8	1.8	2.0
169	1.2	1.4	1.5	1.7	1.8	1.8	1.9
170	1.3	1.4	1.6	1.6	1.8	1.8	1.9
171	1.3	1.4	1.5	1.7	1.8	1.9	2.0
172	1.3	1.4	1.5	1.6	1.8	1.9	2.0
173	1.3	1.4	1.5	1.7	1.8	2.0	2.1
174	1.3	1.4	1.5	1.7	1.9	2.1	2.1
175	1.2	1.3	1.5	1.7	1.9	2.0	2.1
176	1.3	1.4	1.5	1.7	1.9	2.0	2.1
177	1.3	1.4	1.6	1.7	1.9	2.0	2.2
178	1.3	1.4	1.6	1.7	1.8	2.0	2.2
179	1.3	1.5	1.6	1.7	1.8	2.0	2.1
180	1.4	1.5	1.6	1.7	1.8	1.9	2.0
181	1.4	1.5	1.6	1.7	1.8	1.9	2.0
182	1.3	1.4	1.5	1.7	1.8	1.8	1.9
183	1.3	1.5	1.6	1.7	1.8	1.8	2.0
184	1.2	1.4	1.5	1.7	1.8	1.9	2.0
185	1.3	1.4	1.5	1.7	1.8	1.9	2.0
186	1.2	1.4	1.5	1.7	1.8	1.9	2.0
187	1.3	1.4	1.5	1.7	1.9	2.0	2.1
188	1.3	1.4	1.5	1.7	1.9	2.0	2.1
189	1.3	1.4	1.5	1.7	1.8	2.0	2.0
190	1.2	1.4	1.5	1.7	1.8	2.0	2.1
191	1.3	1.4	1.5	1.7	1.8	1.9	2.0
192	1.3	1.4	1.5	1.7	1.8	1.9	2.1
193	1.3	1.4	1.6	1.7	1.8	1.9	2.1
194	1.4	1.5	1.6	1.7	1.8	1.9	2.1
195	1.4	1.5	1.5	1.7	1.8	1.9	2.0
196	1.4	1.4	1.6	1.7	1.8	1.9	2.0
197	1.3	1.5	1.6	1.7	1.8	1.9	2.0
198	1.3	1.4	1.6	1.7	1.8	1.9	2.0
199	1.3	1.4	1.6	1.7	1.8	1.9	2.0
200	1.2	1.4	1.5	1.8	1.9	2.0	2.1
201	1.3	1.4	1.5	1.7	1.9	2.1	2.1
202	1.2	1.3	1.5	1.7	1.9	2.0	2.1
203	1.2	1.3	1.5	1.7	1.9	2.0	2.2
204	1.3	1.4	1.6	1.7	2.0	2.1	2.2
205	1.4	1.5	1.6	1.8	1.9	2.1	2.2
206	1.4	1.5	1.6	1.7	1.9	2.0	2.1
207	1.4	1.5	1.6	1.7	1.8	2.0	2.1
208	1.4	1.5	1.6	1.7	1.8	1.9	2.0
209	1.5	1.5	1.6	1.7	1.8	1.9	2.0
210	1.4	1.5	1.6	1.7	1.8	1.9	2.0
211	1.3	1.5	1.6	1.7	1.8	1.9	2.0
212	1.3	1.4	1.6	1.7	1.8	1.9	2.0
213	1.2	1.4	1.6	1.7	1.9	2.0	2.0
214	1.3	1.4	1.5	1.7	1.9	2.0	2.1
215	1.2	1.4	1.5	1.7	1.8	1.9	2.0
216	1.2	1.4	1.5	1.7	1.8	1.9	2.0
217	1.4	1.5	1.6	1.9	2.2	2.4	2.6
218	1.3	1.5	1.7	2.0	2.2	2.3	2.5
219	1.3	1.4	1.6	1.8	1.9	2.0	2.1
220	1.4	1.5	1.6	1.7	1.8	2.0	2.1
221	1.5	1.5	1.6	1.8	1.8	2.0	2.2
222	1.5	1.6	1.7	1.8	1.9	2.1	2.2
223	1.5	1.6	1.6	1.7	1.9	1.9	2.1
224	1.4	1.5	1.6	1.7	1.8	1.9	2.0
225	1.3	1.4	1.6	1.7	1.8	1.9	2.0
226	1.3	1.4	1.6	1.7	1.8	1.9	2.0
227	1.2	1.3	1.5	1.7	1.8	2.0	2.1
228	1.1	1.3	1.4	1.7	1.8	1.9	2.0
229	1.2	1.3	1.5	1.7	1.8	2.0	2.1
230	1.1	1.3	1.5	1.7	1.9	2.0	2.1
231	1.2	1.4	1.5	1.7	1.9	2.1	2.1
232	1.3	1.4	1.6	1.7	1.9	2.1	2.2
233	1.4	1.5	1.6	1.8	2.0	2.1	2.2
234	1.4	1.5	1.6	1.8	1.9	2.1	2.2
235	1.4	1.5	1.6	1.8	1.9	2.0	2.2
236	1.4	1.5	1.6	1.8	1.9	2.0	2.2
237	1.3	1.5	1.6	1.7	1.9	2.0	2.1
238	1.3	1.5	1.6	1.7	1.9	2.0	2.0
239	1.2	1.4	1.6	1.7	1.8	1.9	2.0
240	1.2	1.3	1.6	1.8	1.9	1.9	2.1
241	1.3	1.4	1.6	1.8	1.8	2.0	2.1
242	1.3	1.5	1.6	1.8	1.9	2.0	2.0
243	1.3	1.5	1.6	1.7	1.9	2.0	2.0
244	1.2	1.4	1.5	1.7	1.9	1.9	2.0
245	1.4	1.4	1.6	1.7	1.8	1.9	2.1
246	1.3	1.5	1.6	1.8	1.8	2.0	2.0
247	1.4	1.5	1.6	1.8	1.9	2.0	2.1
248	0.8	1.0	1.5	1.7	1.8	2.0	2.1
249	0.8	0.9	1.0	1.4	1.8	2.0	2.2
250	0.8	1.0	1.1	1.4	1.8	2.0	2.2
251	0.8	1.0	1.1	1.5	1.9	2.0	2.2
252	0.8	1.0	1.1	1.5	1.8	2.0	2.1
253	0.8	0.9	1.1	1.4	1.8	2.0	2.1
254	0.7	0.8	1.1	1.4	1.8	1.9	2.0
255	0.7	0.9	1.1	1.3	1.7	1.9	2.0
256	0.7	0.9	1.2	1.4	1.8	1.9	2.0
257	0.6	0.8	1.2	1.3	1.8	1.9	2.0
258	0.7	0.9	1.2	1.4	1.9	2.0	2.1
259	0.7	0.9	1.1	1.4	1.9	1.9	2.0
260	0.8	1.0	1.1	1.4	1.8	1.9	2.1
261	0.8	0.9	1.1	1.4	1.8	1.9	2.1
262	0.9	1.0	1.2	1.5	1.8	1.9	2.1
263	0.8	1.0	1.1	1.4	1.7	1.9	2.0
264	0.7	1.0	1.1	1.4	1.7	1.8	2.0
265	0.7	0.9	1.1	1.4	1.7	1.9	1.9
266	0.7	0.9	1.2	1.4	1.8	1.9	2.0
267	0.7	0.8	1.1	1.4	1.8	1.9	2.0
268	0.7	0.9	1.1	1.4	1.7	1.9	2.0
269	0.8	0.9	1.2	1.4	1.7	1.8	2.0
270	1.3	1.4	1.5	1.7	1.8	2.1	2.6
271	0.9	1.1	1.4	1.6	1.8	1.9	2.4
272	0.9	1.0	1.2	1.4	1.7	1.8	1.9
273	0.8	1.0	1.1	1.4	1.7	1.8	1.8
274	0.8	1.0	1.1	1.3	1.8	1.8	1.9
275	0.8	1.0	1.1	1.3	1.7	1.8	1.9
276	0.8	0.9	1.1	1.3	1.7	1.8	1.9
277	0.8	0.9	1.1	1.5	1.8	2.0	2.1
278	0.8	1.0	1.1	1.5	1.9	2.1	2.2
279	0.7	0.9	1.1	1.5	1.8	2.0	2.1
280	0.7	0.9	1.1	1.4	1.8	2.0	2.0
281	0.7	0.8	1.0	1.3	1.8	1.9	2.1
282	0.6	0.8	1.0	1.3	1.8	1.8	2.0
283	0.6	0.9	1.2	1.5	1.8	2.0	3.0
284	0.9	1.0	1.2	1.6	1.8	2.1	2.7
285	0.7	0.8	1.1	1.3	1.8	1.9	2.0
286	0.8	1.0	1.3	1.4	1.8	1.9	2.0
287	1.0	1.1	1.4	1.5	1.8	1.8	1.9
288	1.0	1.2	1.3	1.5	1.8	1.9	2.0
289	1.0	1.1	1.3	1.5	1.8	1.9	2.1
290	0.8	0.9	1.1	1.5	1.7	1.9	2.0
291	0.5	0.6	0.9	1.4	1.8	2.0	2.1
292	0.6	0.8	1.0	1.5	1.9	2.0	2.1
293	0.6	0.8	1.1	1.5	1.8	1.9	2.1
294	0.7	0.9	1.2	1.5	1.8	1.9	2.0
295	0.6	0.8	1.1	1.4	1.8	1.9	2.0
296	0.6	0.8	1.2	1.4	1.7	1.8	2.0
297	0.7	0.8	1.1	1.3	1.6	1.7	1.8
298	0.7	0.9	1.2	1.3	1.7	1.8	1.9
299	0.8	1.0	1.3	1.4	1.8	1.9	2.0
300	0.8	0.9	1.1	1.4	1.9	2.0	2.0
301	0.8	1.0	1.1	1.4	1.8	2.0	2.1
302	0.8	0.9	1.0	1.3	1.8	1.9	2.0
303	0.8	0.9	1.1	1.4	1.8	1.9	2.0
304	0.8	1.0	1.1	1.4	1.7	1.8	1.8
305	0.7	0.9	1.1	1.4	1.7	1.8	2.0
306	0.7	0.9	1.1	1.5	1.8	1.9	2.0
307	0.7	0.9	1.1	1.4	1.7	1.8	2.0
308	0.7	0.9	1.2	1.3	1.7	1.8	2.0
309	0.7	0.8	1.2	1.4	1.8	1.9	2.1
310	0.6	0.8	1.1	1.4	1.7	1.9	2.1
311	0.7	0.9	1.2	1.4	1.8	2.0	2.1
312	0.8	1.0	1.3	1.4	1.8	2.0	2.1
313	0.8	1.0	1.3	1.4	1.8	2.0	2.2
314	0.8	1.0	1.3	1.4	1.6	2.0	2.1
315	0.9	1.1	1.2	1.3	1.4	1.6	1.6
316	1.0	1.1	1.2	1.4	1.6	1.7	1.8
317	1.0	1.0	1.2	1.4	1.7	1.8	1.8
318	0.8	1.0	1.2	1.5	1.7	1.8	1.8
319	0.8	1.0	1.3	1.5	1.6	1.8	1.9
320	0.8	1.0	1.3	1.5	1.7	1.8	2.0
321	0.7	0.9	1.3	1.5	1.7	1.8	2.0
322	0.8	1.0	1.2	1.5	1.7	1.8	2.0
323	0.8	1.0	1.3	1.5	1.7	1.8	2.0
324	0.9	1.1	1.3	1.5	1.7	1.8	2.0
325	1.1	1.2	1.3	1.5	1.7	1.9	2.0
326	0.7	0.8	1.0	1.3	1.7	1.8	2.0
327	0.7	0.9	1.1	1.2	1.7	1.9	2.0
328	0.8	0.9	1.0	1.3	1.7	1.9	2.0
329	0.9	1.0	1.1	1.3	1.8	1.9	2.0
330	0.9	0.9	1.1	1.4	1.8	1.9	2.0
331	0.8	0.9	1.0	1.3	1.6	1.8	1.9
332	0.8	0.9	1.1	1.2	1.4	1.5	1.5
333	0.8	0.9	1.1	1.3	1.5	1.7	1.8
334	0.7	0.9	1.1	1.4	1.7	1.8	2.0
335	0.6	0.7	1.0	1.3	1.7	1.8	2.0
336	0.6	0.7	1.0	1.3	1.8	1.9	2.0
337	0.5	0.6	0.9	1.2	1.6	1.8	2.0
338	0.6	0.7	0.9	1.2	1.6	1.8	1.9
339	0.6	0.9	1.2	1.4	1.7	1.8	2.0
340	1.1	1.2	1.4	1.6	1.7	1.9	2.0
341	1.1	1.3	1.4	1.6	1.8	1.9	1.9
342	1.1	1.2	1.3	1.5	1.6	1.8	1.9
343	1.0	1.2	1.4	1.5	1.6	1.7	1.8
344	1.2	1.3	1.4	1.5	1.6	1.8	1.9
345	1.2	1.4	1.4	1.5	1.6	1.7	1.9
346	1.3	1.4	1.4	1.5	1.6	1.8	1.8
347	0.9	1.0	1.2	1.4	1.5	1.6	1.7
348	1.0	1.1	1.3	1.5	1.6	1.6	1.8
349	1.0	1.1	1.2	1.4	1.5	1.7	1.9
350	1.0	1.1	1.2	1.4	1.6	1.8	1.9
351	1.1	1.2	1.3	1.6	1.7	1.8	1.9
352	1.1	1.2	1.3	1.6	1.8	1.9	2.0
353	1.2	1.3	1.4	1.6	1.7	1.9	2.0
354	1.1	1.2	1.3	1.5	1.7	1.8	1.9
355	1.1	1.2	1.3	1.5	1.6	1.7	1.8
356	1.0	1.2	1.3	1.5	1.6	1.6	1.7
357	1.1	1.2	1.4	1.5	1.6	1.7	1.7
358	1.1	1.3	1.4	1.5	1.6	1.7	1.8
359	1.2	1.3	1.4	1.5	1.6	1.7	1.8
360	1.2	1.3	1.4	1.5	1.6	1.7	1.8
361	1.2	1.3	1.4	1.5	1.6	1.8	1.8
362	1.2	1.3	1.3	1.5	1.7	1.8	2.0
363	1.2	1.3	1.4	1.6	1.7	1.8	2.0
364	1.1	1.2	1.4	1.5	1.8	1.9	2.0
365	1.0	1.1	1.3	1.5	1.7	1.9	2.0

CHEW1 Depth(m)

Percentile Classes