#----------------------------------------------------------------------- 
#                World Data Center for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
#----------------------------------------------------------------------- 
# NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. 
#
# Online_Resource: hurricane.ncdc.noaa.gov/pls/paleox/f?p=519:1:::::P1_STUDY_ID:15090
# Online_Resource: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/paleolimnology/europe/italy/ledro2013count-fall.txt
#
# Original_Source_URL: 
# 
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Paleolimnology
#--------------------
# Contribution_Date
#	Date: 2013-08-16
#--------------------
# Title
#	Study_Name:  A 2000 year long seasonal record of floods in the southern
European Alps, Lake Ledro, Northern Italy
#--------------------
# Investigators
#       Investigators: Wirth,S.B.;Gilli,A.;Simonneau,A.;Ariztegui,D.;Vannière,B.;Glur,L.;Chapron,E.;Magny,M.;Anselmetti,F.S.;
#--------------------
# Description_and_Notes
Description: This dataset contains ages and thicknesses of individual flood layers ('thickness' files) as well as 30-year moving sums of flood events ('counts' files) for all seasons. The dating of the flood layers is based on varve counting and the age-model error of ±2.5% is estimated based on the comparison with five radiocarbon ages.
#--------------------
# Publication 
#       Authors: Wirth, S. B., A. Gilli, A. Simonneau, D. Ariztegui,
B. Vannière, L. Glur, E. Chapron, M. Magny, and F. S. Anselmetti
#       Published_Date_or_Year: 2013
#       Published_Title: A 2000 year long seasonal record of floods in the southern
European Alps
#       Journal_Name: Geophysical Research Letters
#       Volume: 40
#       Edition:
#       Issue:
#       Pages: 4025–4029
#       Report_Number: 
#       DOI: 10.1002/grl.50741
#       Publication_Place: 
#       Publisher: 
#       ISBN: 
#       Online_Resource:
#       Other_Reference_Details:
#       Full_Citation:
#       Abstract: Knowledge of past natural flood variability and controlling climate factors is of high value since it can be useful to refine projections of the future flood behavior under climate warming. In this context, we present a seasonally resolved 2000 year long flood frequency and intensity reconstruction from the southern Alpine slope (North Italy) using annually laminated (varved) lake sediments. Floodsoccurred predominantly during summer and autumn, whereas winter and spring events were rare. The all-season flood frequency and, particularly, the occurrence of summer events increased during solar minima, suggesting solarinduced circulation changes resembling negative conditions of the North Atlantic Oscillation as controlling atmospheric mechanism. Furthermore, the most extreme autumn events occurred during a period of warm Mediterranean sea surface temperature. Interpreting these results in regard to present climate change, our data set proposes for a warming scenario, a decrease in summer floods, but an increase in the intensity of autumn floods at the South-Alpine slope.
#------------------
# Funding_Agency
#       Funding_Agency_Name: Swiss National Science Foundation (SNF)
#       Grant: 200021-121909 
#------------------
# Funding_Agency
#       Funding_Agency_Name: French ANR (project LAMA)
#       Grant: 
#------------------
# Site_Information 
#   Site_Name: Lake Ledro
#   Location: 
#	Region: Northern Italy  
#	Country: Italy
#	Northernmost_Latitude:45.876667
# 	Southernmost_Latitude:45.876667
# 	Easternmost_Longitude:10.750556 
# 	Westernmost_Longitude:10.750556 
# 	Elevation: 653
#------------------
# Data_Collection
#	Collection_Name: Count Fall
#	Earliest_Year: 2050
#	Most_Recent_Year: -45
#	Time_Unit: 
#	Core_Length: 
#	Notes: 30-year moving sums of flood events. Measured Parameters: Seasonality and thickness of flood layers. Individual flood layers.
#------------------
# Species:
#------------------
# Chronology: 
#----------------	
# Variables
#	Short_name	What,Material,Error,Units, Seasonality,Archive,Details,Method,Data_type	
#	age_calBP	Age,,,,calendar years BP,,,,N
#	count-flood-fall	Count,flood events,,count,fall,Paleolimnology,30-year moving sum,microfacies analysis,N
#----------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values:  
age_calBP	count-flood-fall
-45	4
-44	4
-43	4
-42	6
-41	6
-40	6
-39	6
-38	6
-37	6
-36	6
-35	6
-34	6
-33	6
-32	5
-31	6
-30	5
-29	5
-28	5
-27	6
-26	6
-25	5
-24	5
-23	5
-22	5
-21	5
-20	5
-19	5
-18	5
-17	5
-16	5
-15	4
-14	4
-13	4
-12	4
-11	2
-10	2
-9	4
-8	4
-7	4
-6	4
-5	4
-4	4
-3	4
-2	4
-1	4
0	3
1	3
2	3
3	2
4	2
5	2
6	2
7	2
8	2
9	2
10	2
11	2
12	3
13	3
14	3
15	3
16	5
17	5
18	5
19	5
20	5
21	3
22	3
23	3
24	3
25	4
26	4
27	4
28	4
29	4
30	4
31	4
32	4
33	4
34	4
35	4
36	4
37	4
38	4
39	4
40	4
41	4
42	3
43	3
44	3
45	4
46	2
47	2
48	2
49	5
50	5
51	5
52	5
53	5
54	5
55	5
56	5
57	5
58	5
59	5
60	5
61	5
62	5
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78	6
79	6
80	3
81	3
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86	6
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88	6
89	6
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91	8
92	9
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103	12
104	12
105	13
106	13
107	13
108	12
109	12
110	12
111	13
112	13
113	11
114	10
115	11
116	11
117	10
118	11
119	11
120	11
121	9
122	9
123	8
124	8
125	7
126	7
127	7
128	8
129	9
130	9
131	10
132	11
133	10
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163	7
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211	10
212	10
213	10
214	9
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216	8
217	8
218	8
219	11
220	11
221	10
222	10
223	10
224	11
225	11
226	11
227	11
228	11
229	10
230	11
231	12
232	12
233	12
234	11
235	10
236	10
237	10
238	10
239	9
240	9
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243	9
244	9
245	9
246	9
247	9
248	9
249	9
250	7
251	7
252	7
253	6
254	6
255	5
256	4
257	4
258	4
259	5
260	5
261	4
262	4
263	5
264	5
265	5
266	5
267	5
268	5
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270	5
271	6
272	5
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480	3
481	3
482	2
483	1
484	1
485	1
486	2
487	2
488	2
489	2
490	2
491	2
492	2
493	2
494	2
495	2
496	1
497	1
498	1
499	2
500	4
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512	5
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517	4
518	5
519	5
520	5
521	5
522	5
523	5
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527	5
528	5
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530	4
531	2
532	2
533	2
534	2
535	3
536	3
537	2
538	2
539	2
540	2
541	2
542	2
543	2
544	2
545	2
546	2
547	2
548	2
549	1
550	1
551	1
552	1
553	1
554	1
555	1
556	1
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559	1
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564	2
565	2
566	1
567	1
568	2
569	3
570	3
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580	4
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592	4
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1121	2
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1127	3
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1129	3
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1231	6
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1233	6
1234	6
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1241	8
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1244	7
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