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

YRMAP1 Depth(m)

Percentile Classes