FLAPs Statistics - Percentiles YRMAP1

Percentile Classes

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

YRMAP1 Depth(m)

Percentile Classes