FLAPs Statistics - Percentiles YRMAP1

Percentile Classes

Day of the year	Lowest	10th	25th	50th	75th	90th	Highest	Avg
001	1.1	1.3	1.6	1.7	1.8	2.0	2.3
002	1.0	1.3	1.5	1.6	1.8	2.0	2.3
003	1.0	1.2	1.4	1.6	1.7	1.8	2.2
004	1.0	1.2	1.4	1.5	1.7	1.8	2.1
005	0.9	1.2	1.3	1.5	1.6	1.8	2.1
006	0.9	1.1	1.3	1.6	1.7	1.8	2.0
007	0.9	1.1	1.4	1.6	1.7	1.8	2.1
008	0.8	1.1	1.4	1.7	1.8	1.9	2.0
009	1.0	1.2	1.4	1.7	1.9	2.0	2.3	2.0
010	1.0	1.2	1.5	1.7	1.8	2.0	2.4	2.0
011	1.1	1.3	1.5	1.6	1.9	2.1	2.4	2.1
012	1.1	1.3	1.5	1.6	1.8	2.0	2.4	2.0
013	1.1	1.2	1.5	1.6	1.8	2.0	2.3	1.9
014	1.0	1.1	1.4	1.6	1.8	1.9	2.2	1.9
015	1.0	1.2	1.4	1.6	1.8	1.9	2.2	1.9
016	0.9	1.3	1.4	1.7	1.8	1.9	2.1	1.9
017	0.9	1.2	1.4	1.6	1.8	1.9	2.0	1.9
018	0.9	1.2	1.4	1.6	1.8	2.0	2.2	2.0
019	0.9	1.2	1.4	1.6	1.8	2.0	2.2	1.9
020	0.9	1.2	1.4	1.6	1.8	1.9	2.2	1.7
021	1.0	1.2	1.4	1.6	1.7	1.9	2.1	1.7
022	1.1	1.3	1.5	1.6	1.8	1.9	2.1	1.7
023	1.1	1.3	1.4	1.6	1.8	1.9	2.2	1.8
024	1.0	1.2	1.4	1.5	1.7	1.9	2.2	1.9
025	1.1	1.2	1.4	1.6	1.8	1.9	2.2	1.8
026	1.0	1.2	1.4	1.6	1.7	1.9	2.2	1.8
027	1.0	1.3	1.4	1.6	1.7	1.9	2.1	1.8
028	1.0	1.2	1.4	1.6	1.7	1.9	2.1	1.8
029	1.0	1.2	1.4	1.5	1.7	1.8	2.0	1.8
030	1.0	1.2	1.4	1.6	1.7	1.9	2.1	1.8
031	1.0	1.2	1.4	1.6	1.8	1.8	2.2	1.8
032	1.3	1.4	1.5	1.7	1.8	1.9	2.3	1.8
033	1.2	1.3	1.5	1.6	1.8	2.0	2.4	1.7
034	1.2	1.3	1.5	1.6	1.8	2.0	2.4	1.6
035	1.2	1.3	1.4	1.6	1.8	1.9	2.4	1.6
036	1.2	1.4	1.4	1.6	1.7	1.8	2.0	1.6
037	1.2	1.3	1.4	1.6	1.8	1.9	2.0	1.7
038	1.2	1.3	1.4	1.6	1.8	1.8	2.0	1.6
039	1.3	1.3	1.4	1.5	1.7	1.8	2.0	1.5
040	1.2	1.4	1.4	1.5	1.7	1.8	2.0	1.6
041	1.1	1.3	1.4	1.6	1.7	1.8	2.0	1.7
042	1.2	1.4	1.5	1.6	1.7	1.9	2.1	1.7
043	1.2	1.4	1.5	1.6	1.7	1.8	2.1	1.7
044	1.1	1.3	1.4	1.5	1.6	1.8	2.0	1.7
045	1.1	1.3	1.4	1.6	1.7	1.8	2.0	1.6
046	1.0	1.3	1.4	1.6	1.7	1.8	2.2	1.6
047	1.2	1.4	1.4	1.6	1.7	1.8	1.9	1.6
048	1.2	1.4	1.4	1.6	1.7	1.8	2.0	1.7
049	1.2	1.3	1.4	1.6	1.7	1.8	2.0	1.7
050	1.0	1.3	1.4	1.6	1.7	1.8	1.9	1.6
051	1.2	1.4	1.5	1.6	1.7	1.8	1.9	1.6
052	1.3	1.4	1.5	1.6	1.7	1.8	1.8	1.5
053	1.4	1.4	1.5	1.6	1.7	1.8	1.8	1.5
054	1.2	1.4	1.5	1.6	1.7	1.8	2.1	1.6
055	1.2	1.3	1.4	1.6	1.7	1.8	2.1	1.7
056	1.1	1.3	1.4	1.5	1.7	1.8	1.9	1.8
057	1.0	1.2	1.4	1.5	1.7	1.8	1.9	1.7
058	0.8	1.2	1.4	1.5	1.7	1.8	1.9	1.6
059	1.0	1.2	1.4	1.6	1.7	1.8	1.9	1.6
060	1.0	1.3	1.4	1.6	1.7	1.8	1.9	1.5
061	1.1	1.3	1.4	1.5	1.6	1.7	1.8	1.6
062	1.0	1.3	1.4	1.5	1.6	1.8	1.9	1.7
063	1.1	1.3	1.4	1.5	1.6	1.8	2.0	1.8
064	1.0	1.3	1.4	1.6	1.6	1.8	2.0	1.7
065	1.0	1.2	1.4	1.6	1.7	1.9	2.0	1.7
066	1.0	1.2	1.4	1.5	1.7	1.8	2.1	1.6
067	1.1	1.2	1.4	1.5	1.6	1.8	1.9	1.5
068	1.2	1.3	1.4	1.6	1.7	1.8	2.0	1.6
069	1.2	1.3	1.5	1.7	1.8	1.9	2.0	1.8
070	1.2	1.3	1.5	1.6	1.8	1.9	2.0	1.7
071	1.1	1.3	1.4	1.5	1.7	1.8	2.0	1.7
072	1.0	1.2	1.4	1.6	1.7	1.9	2.0	1.8
073	1.2	1.3	1.4	1.6	1.8	1.9	2.0	1.9
074	1.1	1.3	1.4	1.6	1.7	1.8	2.0	1.8
075	1.0	1.3	1.4	1.6	1.7	1.8	2.0	1.8
076	1.1	1.3	1.4	1.6	1.7	1.8	2.1	1.8
077	1.1	1.3	1.4	1.6	1.7	1.8	2.1	1.8
078	1.2	1.3	1.4	1.6	1.7	1.8	2.1	1.9
079	1.2	1.3	1.4	1.6	1.7	1.8	2.1	1.9
080	1.2	1.3	1.4	1.5	1.7	1.8	2.1	1.9
081	1.2	1.3	1.4	1.5	1.7	1.9	2.1	1.8
082	1.1	1.3	1.5	1.6	1.8	1.9	2.2	1.8
083	1.1	1.4	1.5	1.6	1.8	1.9	2.0	1.9
084	1.1	1.4	1.5	1.7	1.8	1.8	2.0
085	1.2	1.3	1.5	1.6	1.7	1.8	2.0
086	1.2	1.3	1.4	1.6	1.8	1.9	2.0
087	1.0	1.3	1.4	1.7	1.8	1.8	2.0
088	1.1	1.3	1.5	1.6	1.8	1.9	2.1
089	1.3	1.4	1.5	1.7	1.8	1.8	2.0
090	1.3	1.4	1.5	1.7	1.8	1.9	2.2
091	1.3	1.4	1.5	1.7	1.8	1.8	1.9
092	1.4	1.4	1.5	1.6	1.8	1.8	1.9
093	1.4	1.4	1.5	1.6	1.7	1.8	1.9
094	1.2	1.4	1.5	1.6	1.8	1.8	2.0
095	1.3	1.4	1.5	1.6	1.8	1.9	2.1
096	1.4	1.4	1.5	1.6	1.7	1.8	2.2
097	1.1	1.4	1.5	1.6	1.7	1.8	1.9	1.7
098	1.1	1.3	1.5	1.6	1.7	1.8	2.0	1.7
099	1.1	1.3	1.5	1.6	1.7	1.8	1.9	1.7
100	1.1	1.4	1.4	1.6	1.7	1.8	1.9	1.6
101	1.1	1.4	1.5	1.6	1.8	1.8	1.9	1.6
102	1.1	1.4	1.5	1.6	1.8	1.9	2.0	1.6
103	1.2	1.4	1.5	1.7	1.8	1.9	2.1	1.8
104	1.2	1.4	1.6	1.8	1.8	1.9	2.0	1.8
105	1.3	1.4	1.5	1.7	1.8	1.9	2.0	1.6
106	1.2	1.3	1.4	1.6	1.8	1.8	2.0	1.6
107	1.3	1.4	1.5	1.6	1.8	1.9	2.0	1.6
108	1.1	1.4	1.5	1.7	1.8	1.9	2.0	1.7
109	1.2	1.4	1.5	1.7	1.8	1.9	2.0	1.7
110	1.2	1.3	1.5	1.7	1.8	1.9	2.1	1.7
111	1.1	1.3	1.5	1.7	1.8	1.9	2.1	1.7
112	1.1	1.4	1.5	1.7	1.8	1.9	2.0	1.7
113	1.1	1.4	1.5	1.7	1.8	1.9	2.1	1.7
114	1.1	1.4	1.5	1.7	1.8	1.9	2.2	1.8
115	1.2	1.4	1.5	1.6	1.8	1.9	2.0	1.8
116	1.2	1.4	1.5	1.7	1.8	1.9	2.1	1.8
117	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.6
118	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.6
119	1.3	1.3	1.5	1.7	1.8	1.9	2.3	1.6
120	1.2	1.3	1.5	1.7	1.9	2.0	2.2	1.7
121	1.2	1.3	1.5	1.7	1.9	2.0	2.1	1.6
122	1.2	1.4	1.5	1.7	1.8	2.0	2.0	1.6
123	1.2	1.4	1.5	1.6	1.8	1.9	2.0	1.5
124	1.3	1.4	1.5	1.7	1.8	1.9	2.0	1.5
125	1.3	1.4	1.5	1.6	1.8	1.9	2.0	1.5
126	1.3	1.4	1.5	1.6	1.7	1.8	2.0	1.5
127	1.2	1.3	1.5	1.6	1.7	1.8	2.0	1.5
128	1.2	1.4	1.4	1.6	1.7	1.9	2.1	1.4
129	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.6
130	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.5
131	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.6
132	1.2	1.4	1.5	1.7	1.8	1.9	2.0	1.5
133	1.2	1.3	1.5	1.6	1.8	1.8	1.9	1.5
134	1.3	1.4	1.5	1.6	1.8	1.8	2.0	1.6
135	1.3	1.4	1.5	1.7	1.8	1.9	2.1	1.8
136	1.3	1.4	1.5	1.6	1.8	1.9	2.1	1.7
137	1.2	1.4	1.5	1.7	1.8	1.9	2.2	1.6
138	1.2	1.4	1.5	1.6	1.8	2.0	2.2	1.6
139	1.2	1.4	1.5	1.7	1.8	2.0	2.2	1.6
140	1.2	1.4	1.5	1.6	1.8	1.9	2.2	1.5
141	1.1	1.3	1.5	1.6	1.8	2.0	2.2	1.5
142	1.1	1.3	1.5	1.7	1.8	1.9	2.2	1.6
143	1.1	1.3	1.5	1.7	1.8	1.9	2.1
144	1.1	1.4	1.5	1.7	1.8	1.9	2.1
145	1.2	1.4	1.5	1.6	1.8	1.9	2.1
146	1.2	1.4	1.6	1.7	1.8	1.9	2.3
147	1.2	1.4	1.5	1.7	1.8	1.9	2.2
148	1.2	1.4	1.5	1.7	1.8	1.9	2.2
149	1.2	1.4	1.6	1.8	1.9	2.0	2.2
150	1.3	1.4	1.5	1.7	1.9	2.0	2.2
151	1.4	1.4	1.6	1.7	1.9	2.0	2.2
152	1.4	1.4	1.6	1.7	1.9	2.1	2.3
153	1.2	1.5	1.6	1.7	1.9	2.1	2.3
154	1.2	1.4	1.5	1.7	1.8	2.1	2.4
155	1.1	1.4	1.5	1.7	1.8	2.1	2.4
156	1.2	1.4	1.5	1.7	1.9	2.1	2.4
157	1.2	1.4	1.5	1.7	1.9	2.1	2.4
158	1.2	1.4	1.6	1.7	1.9	2.1	2.5
159	1.2	1.4	1.6	1.7	1.9	2.1	2.5
160	1.3	1.4	1.5	1.6	1.9	2.1	2.5
161	1.3	1.4	1.5	1.6	1.8	2.0	2.3
162	1.3	1.4	1.5	1.6	1.9	2.1	2.2
163	1.3	1.5	1.5	1.7	1.9	2.1	2.3
164	1.3	1.4	1.5	1.6	1.8	1.9	2.2	1.5
165	1.3	1.4	1.5	1.6	1.8	1.9	2.2	1.6
166	1.3	1.4	1.5	1.6	1.8	1.9	2.2	1.6
167	1.2	1.4	1.5	1.6	1.8	1.9	2.2	1.6
168	1.2	1.4	1.5	1.6	1.8	1.9	2.2	1.5
169	1.2	1.4	1.5	1.6	1.7	1.8	2.1	1.6
170	1.2	1.4	1.5	1.6	1.8	1.8	2.1	1.6
171	1.2	1.4	1.5	1.7	1.8	2.0	2.1	1.6
172	1.2	1.4	1.5	1.7	1.9	2.0	2.4	1.6
173	1.2	1.4	1.5	1.7	1.8	2.0	2.3	1.6
174	1.2	1.4	1.5	1.6	1.8	1.9	2.2	1.6
175	1.3	1.4	1.5	1.6	1.8	1.9	2.2	1.6
176	1.2	1.4	1.5	1.6	1.8	1.9	2.2	1.5
177	1.3	1.4	1.5	1.6	1.8	1.9	2.2	1.6
178	1.2	1.4	1.5	1.6	1.7	1.9	2.1	1.6
179	1.2	1.4	1.5	1.6	1.7	1.9	2.1	1.6
180	1.2	1.4	1.5	1.6	1.7	1.9	2.3	1.6
181	1.2	1.4	1.5	1.6	1.8	1.8	2.2	1.6
182	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.5
183	1.1	1.3	1.5	1.6	1.8	1.9	2.1	1.5
184	1.2	1.4	1.5	1.7	1.8	1.9	2.1	1.5
185	1.1	1.4	1.5	1.7	1.8	1.9	2.1	1.5
186	1.0	1.4	1.5	1.7	1.8	1.9	2.1	1.5
187	1.0	1.3	1.5	1.7	1.8	1.9	2.0	1.5
188	0.9	1.3	1.5	1.7	1.8	1.9	2.0	1.5
189	1.0	1.3	1.5	1.7	1.8	1.9	2.0	1.5
190	1.1	1.2	1.5	1.6	1.8	1.9	2.1	1.4
191	1.1	1.3	1.5	1.6	1.8	1.9	2.1	1.5
192	1.0	1.3	1.4	1.6	1.8	2.0	2.1	1.4
193	0.9	1.3	1.4	1.6	1.9	2.1	2.3	1.4
194	0.9	1.3	1.4	1.7	1.9	2.1	2.4	1.4
195	0.9	1.3	1.5	1.7	1.8	2.0	2.3	1.4
196	1.0	1.3	1.5	1.7	1.8	2.0	2.2	1.4
197	0.9	1.2	1.5	1.7	1.8	2.0	2.2	1.4
198	0.9	1.2	1.5	1.7	1.8	2.0	2.2	1.4
199	1.0	1.2	1.5	1.7	1.8	2.0	2.2	1.4
200	1.0	1.3	1.5	1.7	1.8	1.9	2.1	1.5
201	1.0	1.3	1.5	1.7	1.8	1.9	2.1	1.5
202	1.0	1.3	1.5	1.7	1.8	1.9	2.0	1.6
203	1.1	1.3	1.4	1.7	1.9	2.0	2.1	1.6
204	1.1	1.3	1.5	1.7	1.8	1.9	2.1	1.7
205	1.1	1.2	1.5	1.7	1.8	2.0	2.2	1.7
206	1.1	1.2	1.5	1.7	1.8	1.9	2.2	1.7
207	1.0	1.2	1.6	1.7	1.8	2.0	2.2	1.7
208	0.9	1.3	1.5	1.7	1.8	2.0	2.2	1.6
209	0.9	1.3	1.6	1.7	1.8	2.0	2.2	1.6
210	0.9	1.4	1.5	1.7	1.8	2.0	2.2	1.5
211	0.8	1.3	1.5	1.7	1.8	2.0	2.2	1.5
212	0.8	1.3	1.5	1.7	1.9	2.0	2.4	1.5
213	0.8	1.2	1.5	1.8	1.9	2.0	2.4	1.5
214	0.8	1.3	1.6	1.8	1.9	2.0	2.4	1.5
215	0.9	1.3	1.6	1.8	1.9	2.1	2.4	1.5
216	1.0	1.4	1.6	1.8	2.0	2.1	2.3	1.5
217	1.2	1.6	1.6	1.8	2.0	2.1	2.2	1.5
218	1.3	1.5	1.7	1.8	2.0	2.1	2.2	1.5
219	1.4	1.5	1.6	1.8	2.0	2.1	2.2	1.5
220	1.4	1.5	1.6	1.8	1.9	2.1	2.3	1.5
221	1.4	1.5	1.6	1.7	1.9	2.1	2.3	1.5
222	1.4	1.5	1.6	1.8	1.9	2.1	2.3	1.5
223	1.4	1.5	1.6	1.8	1.9	2.0	2.2	1.5
224	1.3	1.5	1.6	1.7	1.9	2.0	2.2	1.4
225	1.3	1.5	1.6	1.7	1.8	2.0	2.3	1.5
226	1.3	1.5	1.6	1.7	1.8	1.9	2.2	1.5
227	1.3	1.6	1.6	1.7	1.8	2.0	2.3	1.6
228	1.2	1.5	1.7	1.8	1.9	2.0	2.3	1.5
229	1.2	1.5	1.6	1.8	1.9	2.0	2.2	1.5
230	1.3	1.5	1.6	1.8	1.9	2.0	2.3	1.6
231	1.4	1.5	1.6	1.7	1.9	2.0	2.2	1.6
232	1.4	1.5	1.6	1.8	1.9	2.0	2.1	1.7
233	1.4	1.6	1.6	1.8	1.9	2.0	2.1	1.7
234	1.5	1.6	1.6	1.7	1.9	2.0	2.2	1.7
235	1.5	1.6	1.6	1.7	1.8	2.0	2.2	1.7
236	1.4	1.6	1.6	1.7	1.8	1.9	2.0	1.8
237	1.4	1.5	1.7	1.7	1.8	1.9	2.1	1.8
238	1.4	1.5	1.7	1.7	1.9	2.0	2.1	1.9
239	1.4	1.5	1.6	1.8	1.9	2.0	2.2	2.0
240	1.3	1.5	1.6	1.8	1.9	2.0	2.2	1.9
241	1.4	1.5	1.6	1.8	1.9	2.0	2.1	1.9
242	1.5	1.6	1.6	1.8	1.9	2.0	2.2	1.8
243	1.3	1.6	1.7	1.8	1.9	1.9	2.2	1.7
244	1.4	1.5	1.7	1.8	1.9	2.0	2.0	1.7
245	1.4	1.5	1.6	1.7	1.9	2.0	2.1	1.7
246	1.3	1.5	1.6	1.7	1.9	2.0	2.1	1.7
247	1.3	1.4	1.6	1.7	1.8	2.0	2.4	1.6
248	1.3	1.4	1.6	1.7	1.8	2.0	2.5	1.7
249	1.2	1.4	1.6	1.7	1.8	2.0	2.2	1.6
250	1.2	1.4	1.6	1.7	1.8	1.9	2.1	1.6
251	1.2	1.5	1.6	1.7	1.8	1.9	2.1	1.6
252	1.2	1.5	1.6	1.7	1.8	1.9	2.1	1.7
253	1.2	1.4	1.6	1.7	1.8	2.0	2.0	1.7
254	1.0	1.3	1.5	1.7	1.8	2.0	2.0	1.7
255	1.3	1.4	1.6	1.7	1.8	1.9	2.0	1.7
256	1.3	1.4	1.5	1.7	1.8	1.9	2.0	1.7
257	1.3	1.5	1.6	1.7	1.8	1.9	2.0	1.7
258	1.3	1.5	1.6	1.7	1.9	2.0	2.3	2.0
259	1.3	1.5	1.6	1.7	1.9	2.1	2.5	2.2
260	1.3	1.4	1.6	1.7	1.9	2.4	3.8	2.8
261	1.2	1.4	1.6	1.7	1.8	2.0	2.1	2.0
262	1.2	1.5	1.6	1.7	1.8	1.9	2.0	1.9
263	1.2	1.5	1.6	1.7	1.8	1.9	2.0	1.9
264	1.3	1.5	1.6	1.7	1.8	1.9	2.1	1.9
265	1.2	1.4	1.6	1.7	1.8	1.9	2.2	2.0
266	1.1	1.5	1.6	1.8	1.9	2.0	2.3	2.0
267	1.2	1.4	1.7	1.8	1.9	2.1	2.2	2.0
268	1.3	1.5	1.7	1.8	1.9	2.1	2.4	2.1
269	1.2	1.5	1.7	1.8	1.9	2.1	2.3	2.0
270	1.4	1.5	1.6	1.8	1.9	2.0	2.1	1.8
271	1.4	1.5	1.6	1.7	1.8	1.9	2.0	1.8
272	1.3	1.5	1.6	1.7	1.8	1.9	2.0	1.8
273	1.4	1.5	1.6	1.7	1.8	1.9	1.9	1.7
274	1.4	1.5	1.6	1.7	1.8	1.9	2.0	1.7
275	1.4	1.5	1.6	1.7	1.8	2.0	2.1	1.6
276	1.3	1.5	1.6	1.7	1.9	2.0	2.1	1.6
277	1.3	1.5	1.6	1.7	1.8	2.0	2.1	1.6
278	1.4	1.5	1.6	1.8	1.9	2.0	2.2	1.6
279	1.3	1.5	1.6	1.8	1.9	2.1	2.2	1.7
280	1.3	1.5	1.6	1.8	2.0	2.1	2.4	1.7
281	1.3	1.4	1.6	1.8	2.0	2.2	2.7	1.7
282	1.3	1.4	1.6	1.8	2.0	2.2	2.4	1.7
283	1.4	1.5	1.6	1.8	2.0	2.2	2.3	1.8
284	1.3	1.5	1.6	1.8	2.0	2.1	2.3	1.9
285	1.5	1.6	1.7	1.8	1.9	2.1	2.2	1.8
286	1.5	1.6	1.6	1.7	1.9	2.0	2.2	1.7
287	1.4	1.5	1.6	1.7	1.9	2.0	2.2	1.6
288	1.3	1.4	1.6	1.7	1.9	2.0	2.1	1.6
289	1.1	1.4	1.6	1.7	1.9	2.0	2.1	1.7
290	1.1	1.4	1.6	1.8	1.9	2.0	2.1	1.6
291	1.2	1.5	1.6	1.8	1.9	2.0	2.2	1.7
292	1.2	1.5	1.6	1.8	1.9	2.0	2.2	1.7
293	1.2	1.5	1.6	1.8	1.9	2.0	2.2	1.7
294	1.2	1.5	1.6	1.7	1.8	2.0	2.1	1.7
295	1.2	1.5	1.6	1.8	1.9	2.0	2.2	1.8
296	1.3	1.5	1.6	1.8	1.9	2.0	2.2	1.9
297	1.4	1.6	1.7	1.8	1.9	2.0	2.1	1.8
298	1.4	1.6	1.7	1.8	1.9	2.0	2.2	1.9
299	1.4	1.6	1.7	1.8	2.0	2.1	2.4	1.8
300	1.5	1.6	1.7	1.8	1.9	2.0	2.3	1.8
301	1.4	1.5	1.7	1.8	1.9	2.0	2.2	1.8
302	1.4	1.5	1.6	1.8	1.9	2.0	2.5	2.0
303	1.4	1.5	1.6	1.8	1.9	2.1	2.4	2.0
304	1.5	1.5	1.6	1.7	1.9	2.0	2.2	1.6
305	1.4	1.6	1.6	1.8	1.9	2.0	2.3	1.7
306	1.4	1.6	1.7	1.8	1.9	2.0	2.2	1.7
307	1.3	1.5	1.6	1.8	1.8	1.9	2.1	1.5
308	1.4	1.6	1.7	1.8	1.9	1.9	2.0	1.6
309	1.5	1.6	1.7	1.8	1.9	2.0	2.0	1.7
310	1.4	1.6	1.7	1.8	1.9	1.9	2.0	1.7
311	1.4	1.6	1.7	1.8	1.9	2.0	2.1	1.8
312	1.4	1.6	1.6	1.8	1.9	2.0	2.1	1.8
313	1.4	1.6	1.7	1.8	1.9	2.0	2.1	1.9
314	1.2	1.4	1.5	1.7	1.9	1.9	2.0	1.8
315	1.3	1.5	1.7	1.8	1.8	1.9	2.1	1.8
316	1.5	1.6	1.7	1.8	1.9	2.0	2.1	1.9
317	1.3	1.5	1.6	1.8	1.8	1.9	2.1	1.8
318	1.3	1.5	1.6	1.7	1.9	2.0	2.2	1.7
319	1.2	1.4	1.6	1.7	1.9	2.0	2.2	1.7
320	1.3	1.5	1.6	1.7	1.9	2.0	2.2	1.7
321	1.3	1.4	1.5	1.7	1.8	2.0	2.2	1.6
322	1.2	1.5	1.6	1.7	1.8	2.0	2.2	1.6
323	1.3	1.5	1.6	1.7	1.9	2.0	2.2	1.6
324	1.3	1.5	1.6	1.7	1.8	2.0	2.2	1.6
325	1.3	1.4	1.6	1.7	1.8	2.0	2.2	1.6
326	1.3	1.4	1.5	1.7	1.8	2.1	2.2	1.6
327	1.3	1.4	1.5	1.7	1.8	2.1	2.3	1.6
328	1.3	1.4	1.6	1.7	1.9	2.0	2.2	1.5
329	1.4	1.5	1.6	1.7	1.9	2.1	2.3	1.6
330	1.3	1.5	1.6	1.7	1.9	2.1	2.4	1.7
331	1.2	1.5	1.6	1.7	1.8	2.1	2.4	1.7
332	1.1	1.4	1.5	1.7	1.8	2.0	2.3	1.6
333	1.3	1.4	1.6	1.7	1.8	2.0	2.2	1.5
334	1.3	1.5	1.6	1.7	1.9	2.0	2.2	1.6
335	1.2	1.5	1.6	1.8	1.9	1.9	2.2	1.4
336	1.1	1.4	1.5	1.7	1.8	1.9	2.1	1.3
337	1.0	1.3	1.5	1.6	1.8	1.9	2.0	1.3
338	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.5
339	1.3	1.4	1.6	1.7	1.8	1.9	2.2	1.6
340	1.2	1.3	1.5	1.6	1.8	1.9	2.0	1.5
341	1.1	1.4	1.5	1.6	1.8	2.0	2.1	1.4
342	1.1	1.3	1.5	1.6	1.8	2.0	2.2	1.3
343	1.1	1.3	1.4	1.6	1.8	2.0	2.2	1.3
344	1.2	1.3	1.4	1.5	1.8	1.9	2.1	1.3
345	1.2	1.3	1.4	1.6	1.7	1.9	2.1	1.3
346	1.2	1.4	1.5	1.6	1.8	1.9	2.2	1.4
347	1.3	1.4	1.5	1.7	1.8	2.0	2.2	1.5
348	1.2	1.4	1.6	1.8	1.9	2.0	2.2	1.5
349	1.1	1.4	1.5	1.7	1.8	2.0	2.2	1.4
350	1.0	1.3	1.5	1.7	1.8	1.9	2.2	1.3
351	1.1	1.4	1.5	1.6	1.8	1.9	2.3	1.4
352	1.1	1.4	1.5	1.6	1.7	1.8	2.0	1.4
353	1.0	1.3	1.4	1.6	1.7	1.8	2.0	1.3
354	1.2	1.4	1.5	1.6	1.7	1.8	2.0	1.4
355	1.3	1.4	1.5	1.6	1.7	1.9	2.1	1.5
356	1.2	1.4	1.5	1.6	1.8	2.0	2.1	1.5
357	1.2	1.4	1.5	1.6	1.8	1.9	2.1	1.4
358	1.2	1.4	1.4	1.6	1.7	1.9	2.1	1.5
359	1.2	1.3	1.4	1.6	1.7	1.9	2.0	1.6
360	1.1	1.3	1.4	1.6	1.8	1.9	2.1	1.3
361	1.0	1.4	1.5	1.6	1.8	1.9	2.1	1.3
362	1.1	1.4	1.6	1.7	1.9	2.0	2.1	1.4
363	1.2	1.4	1.6	1.7	1.8	2.0	2.1	1.4
364	1.1	1.3	1.5	1.7	1.8	1.9	2.2	1.4
365	1.2	1.3	1.5	1.7	1.8	1.9	2.0	1.5

YRMAP1 Depth(m)

Percentile Classes