# Wilson - Blaue-Stern-Gasse 3 Regensburg Historical Timbers - ABAL - ITRDB GERM068
#-----------------------------------------------------------------------
#               World Data Service for Paleoclimatology, Boulder
#                                  and
#                     NOAA Paleoclimatology Program
#             National Centers for Environmental Information (NCEI)
#-----------------------------------------------------------------------
# Template Version 3.0
# Encoding: UTF-8
# NOTE: Please cite original publication, online resource and date accessed when using these data,
# If there is no publication information, please cite investigator, title, online resource and date accessed.
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/10674
#             Description: NOAA Landing Page of study
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/measurements/europe/germ068-noaa.rwl
#    Description: Raw Measurements - NOAA Template File
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/measurements/europe/germ068.rwl
#    Description: Raw Measurements - Tucson Decadal File
#
# Archive: Treering
#
# Dataset_DOI: 
#
# Parameter_Keywords: ring width
#-------------------
# Contribution_Date
# Date: 2010-06-23
#-------------------
# File_Last_Modified_Date
# Date: 2019-02-05
#-------------------
# Title
#   Study_Name: Wilson - Blaue-Stern-Gasse 3 Regensburg Historical Timbers - ABAL - ITRDB GERM068
#-------------------
# Investigators: Wilson, R.J.S.
#-------------------
# Description_Notes_and_Keywords
#     Description: Purpose of Collection: 
# Hydroclimatic reconstructions 
# 
# 
# References: 
# Wilson, R.J.S. and W. Elling. 2004. 
# Temporal instabilities of tree-growth/climate response 
# in the Lower Bavarian Forest Region: Implications for 
# dendroclimatic reconstruction. 
# Trees: Structure and Function, 18 (1): 19-28.
# 
# Wilson, R.J.S., J. Esper, and B.H. Luckman. 2004. 
# Utilising Historical Tree-Ring Data for Dendroclimatology: 
# A Case study from the Bavarian Forest, Germany. 
# Dendrochronologia. 21 (2): 53-68.
# 
# Wilson, R.J.S., B.H. Luckman, and J. Esper. 2005. 
# A 500-Year Dendroclimatic Reconstruction of Spring/Summer 
# Precipitation from the Lower Bavarian Forest Region, Germany. 
# International Journal of Climatology, 25: 611-630.
# 
# 
# Notes: 
# Bavarian Forest Region Historical Timbers 
# 
#  NOAA Template Raw Measurements file added 2019-02-05.
#-------------------
# Publication
# Authors: 
# Journal_Name: International Journal of Climatology
# Published_Title: A 500-Year Dendroclimatic Reconstruction of Spring/Summer  Precipitation from the Lower Bavarian Forest Region, Germany
# Published_Date_or_Year: 2005
# Volume: 
# Pages: 
# Report_Number: 
# DOI: 10.1002/joc.1150
# Full_Citation: Wilson, R.J.S., B.H. Luckman, and J. Esper. 2005. 
#  A 500-Year Dendroclimatic Reconstruction of Spring/Summer 
#  Precipitation from the Lower Bavarian Forest Region, Germany. 
#  International Journal of Climatology, 25: 611-630.
#  
# Abstract: This paper presents a 500 year March-August precipitation reconstruction for the Bavarian Forest region of southeast
#  Germany based on a composite, well-replicated data set of 676 living and historical tree-ring width series from Norway
#  spruce. Two versions of the chronology are developed. The cubic smoothing spline (SPL) chronology, standardized
#  with a fixed 80 year spline function, retains decadal and higher frequency variation. The regional curve standardization
#  (RCS) chronology uses regional curve standardization to retain additional lower frequency variation from the same
#  data. Calibration (1879-1978) of these chronologies with March-August precipitation indicates they explain 40% (SPL)
#  and 34% (RCS) of the variability in the instrumental precipitation record. The SPL reconstruction models the high frequency
#  variation better, whereas the RCS reconstruction tracks the low-frequency trends more robustly. It suggests
#  that spring-summer precipitation was above the long-term average for the periods 1730-1810 and 1870-2000, about
#  average between 1560 and 1610 and that significantly drier periods occurred during 1510-60, 1610-35, 1660-1730 and
#  1830-70. The low-frequency trends of the RCS reconstruction during the 19th century were verified by comparison with a
#  regional precipitation series derived from 14 long precipitation records from central Europe. Better verification results were
#  obtained using the original (non-homogenized) records over this interval. These results suggest that some low-frequency
#  variability may have been removed during correction of these early records. Periods of synchronous decadal variability
#  were observed between the SPL series and independent dendroclimatic reconstructions from central Europe. The RCS
#  reconstruction is the first dendroclimatic precipitation reconstruction in Europe to capture low-frequency information.
#  These long-term trends, however, are difficult to verify owing to the paucity of other proxy precipitation records in
#  central Europe that portray low-frequency information. Further verification and testing of the RCS reconstruction will
#  require the development of additional reconstructions from tree-rings (or other proxy data series) that similarly target
#  low-frequency variability.
#-------------------
# Site Information
# Site_Name:  Blaue-Stern-Gasse 3 Regensburg Historical Timbers
# Location: Bavaria
# Northernmost_Latitude: 49.0167
# Southernmost_Latitude: 49.0167
# Easternmost_Longitude: 12.1
# Westernmost_Longitude: 12.1
# Elevation: 
#-------------------
# Data Collection
# Collection_Name:  GERM068
# Earliest_Year: 1490
# Most_Recent_Year: 1607
# Time_Unit: AD
# Notes: 
#-------------------
# Species
# Species_Name: Abies alba Mill.
# Common_Name: silver fir
# Tree_Species_Code: ABAL
#-------------------
# Chronology_Information 
#      Chronology: 
#---------------------
# Variables 
# Data variables follow that are preceded by '##' in columns one and two.
# Variables list, one per line; shortname-tab- components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data,additional information)
## age_CE age,,,year Common Era,,tree ring,,,N,
## bla01_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: bla01; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## bla02_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: bla02; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## bla03_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: bla03; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## bla04_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: bla04; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## bla05_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: bla05; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
#---------------------
# Data:
# Missing_Values: NA
age_CE	bla01_raw	bla02_raw	bla03_raw	bla04_raw	bla05_raw	
1490 	NaN	NaN	NaN	NaN	1280	
1491	NaN	NaN	NaN	NaN	1400	
1492	NaN	NaN	NaN	NaN	1420	
1493	NaN	NaN	NaN	NaN	1550	
1494	NaN	NaN	NaN	NaN	1050	
1495	NaN	NaN	NaN	NaN	1380	
1496	NaN	NaN	NaN	NaN	1440	
1497	NaN	NaN	NaN	NaN	1140	
1498	NaN	NaN	NaN	NaN	940	
1499	NaN	NaN	NaN	NaN	1010	
1500	NaN	NaN	NaN	NaN	860	
1501	NaN	NaN	NaN	NaN	860	
1502	NaN	NaN	NaN	NaN	910	
1503	NaN	NaN	NaN	NaN	500	
1504	NaN	NaN	NaN	NaN	450	
1505	NaN	NaN	NaN	NaN	630	
1506	NaN	NaN	NaN	NaN	890	
1507	NaN	NaN	NaN	NaN	940	
1508	NaN	NaN	NaN	NaN	960	
1509	NaN	NaN	NaN	NaN	1140	
1510	NaN	NaN	NaN	NaN	1380	
1511	NaN	2090	NaN	NaN	1260	
1512	NaN	1620	NaN	NaN	1180	
1513	NaN	1550	NaN	NaN	750	
1514	NaN	1780	NaN	NaN	810	
1515	NaN	2850	NaN	NaN	1100	
1516	NaN	2550	NaN	NaN	950	
1517	NaN	2510	NaN	NaN	440	
1518	NaN	2100	NaN	NaN	630	
1519	NaN	1780	NaN	NaN	730	
1520	NaN	2350	NaN	NaN	620	
1521	NaN	2280	NaN	NaN	570	
1522	NaN	1860	NaN	NaN	270	
1523	NaN	2180	2750	NaN	260	
1524	NaN	2610	3500	NaN	300	
1525	NaN	460	2360	NaN	150	
1526	NaN	1880	3370	NaN	260	
1527	NaN	2100	2730	NaN	280	
1528	NaN	1640	3090	NaN	260	
1529	NaN	2150	3100	NaN	280	
1530	NaN	1500	2940	NaN	170	
1531	NaN	1320	3110	NaN	120	
1532	NaN	810	2700	NaN	160	
1533	NaN	1030	3110	NaN	300	
1534	NaN	1330	2670	NaN	250	
1535	NaN	1290	2810	NaN	300	
1536	NaN	1350	1980	NaN	380	
1537	820	1670	2360	NaN	330	
1538	1130	1250	1650	NaN	440	
1539	1660	1900	1920	NaN	540	
1540	1430	1240	1370	NaN	360	
1541	890	710	1460	NaN	330	
1542	1620	1600	1990	NaN	410	
1543	1300	1450	2550	NaN	400	
1544	1260	1610	1690	NaN	330	
1545	1410	1470	2130	NaN	480	
1546	1010	650	1680	NaN	280	
1547	1340	920	1390	NaN	430	
1548	1120	1000	1480	NaN	500	
1549	980	940	1310	NaN	420	
1550	1250	1460	1380	NaN	500	
1551	1350	1720	1530	NaN	460	
1552	1200	1430	1450	NaN	480	
1553	1190	1420	1290	NaN	610	
1554	1100	930	860	NaN	440	
1555	1380	1200	980	2030	640	
1556	950	1100	560	1790	480	
1557	760	1090	740	1900	420	
1558	1130	1360	1160	2160	620	
1559	930	710	770	1560	420	
1560	1030	930	620	1290	420	
1561	840	820	600	1690	630	
1562	840	1810	610	1250	770	
1563	1170	2300	1210	2110	1210	
1564	970	2220	930	1230	850	
1565	910	2020	1430	850	1060	
1566	810	2140	1260	840	1170	
1567	610	1680	1150	510	870	
1568	730	1400	1270	1150	1230	
1569	500	830	1120	910	910	
1570	700	1450	1280	1310	1840	
1571	550	1650	1180	780	1210	
1572	660	1850	1070	720	1740	
1573	670	1340	1390	880	2130	
1574	990	2100	1480	1140	2450	
1575	890	1890	1530	970	1980	
1576	460	1360	1000	520	1390	
1577	930	1340	960	770	1810	
1578	880	860	850	910	1670	
1579	1070	1640	1190	990	1970	
1580	1040	1230	1330	1910	1440	
1581	860	1200	-9999	1690	1660	
1582	1050	1320	NaN	930	1020	
1583	890	750	NaN	1120	610	
1584	1110	820	NaN	710	900	
1585	1070	780	NaN	590	940	
1586	1080	910	NaN	1070	1300	
1587	880	640	NaN	900	650	
1588	1550	850	NaN	2570	1200	
1589	1540	780	NaN	2780	1030	
1590	1800	750	NaN	2540	810	
1591	3260	880	NaN	3750	820	
1592	3390	1270	NaN	3850	800	
1593	3740	690	NaN	3860	780	
1594	3420	840	NaN	3020	1160	
1595	3020	470	NaN	1780	1230	
1596	3000	390	NaN	2130	1200	
1597	3050	650	NaN	2110	1660	
1598	2540	520	NaN	1870	1140	
1599	1770	550	NaN	1600	1050	
1600	2470	490	NaN	1440	910	
1601	2170	750	NaN	2050	1180	
1602	2940	740	NaN	500	1350	
1603	-9999	430	NaN	1220	850	
1604	NaN	280	NaN	2080	1100	
1605	NaN	400	NaN	2460	960	
1606	NaN	480	NaN	2880	1190	
1607	NaN	750	NaN	-9999	-9999	
