# Wilson - Wahlen Str. 23 Regensburg Historical Timbers - ABAL - ITRDB GERM105
#-----------------------------------------------------------------------
#               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/10708
#             Description: NOAA Landing Page of study
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/measurements/europe/germ105-noaa.rwl
#    Description: Raw Measurements - NOAA Template File
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/measurements/europe/germ105.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 - Wahlen Str. 23 Regensburg Historical Timbers - ABAL - ITRDB GERM105
#-------------------
# 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:  Wahlen Str. 23 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:  GERM105
# Earliest_Year: 1499
# Most_Recent_Year: 1588
# 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,
## wah1_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah1; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah2_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah2; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah3_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah3; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah4_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah4; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah5_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah5; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah6_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah6; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah7_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah7; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999
## wah8_raw	total ring width ,,,millimeter,,tree ring,,,N,Tree ID: wah8; 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	wah1_raw	wah2_raw	wah3_raw	wah4_raw	wah5_raw	wah6_raw	wah7_raw	wah8_raw	
1499 	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3160	
1500	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2950	
1501	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2860	
1502	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2650	
1503	NaN	NaN	1470	NaN	NaN	NaN	NaN	2840	
1504	NaN	NaN	1530	NaN	NaN	NaN	NaN	2880	
1505	NaN	NaN	1920	NaN	NaN	NaN	NaN	2470	
1506	NaN	NaN	1770	NaN	NaN	NaN	NaN	3320	
1507	NaN	NaN	1530	NaN	NaN	NaN	NaN	3250	
1508	NaN	NaN	1620	NaN	NaN	NaN	3380	2560	
1509	NaN	NaN	1000	NaN	NaN	NaN	3550	2900	
1510	NaN	NaN	740	NaN	NaN	NaN	3830	3370	
1511	NaN	NaN	930	NaN	NaN	NaN	3600	3070	
1512	NaN	NaN	1010	NaN	NaN	NaN	2700	2370	
1513	NaN	NaN	890	NaN	NaN	NaN	2640	2120	
1514	NaN	NaN	660	NaN	NaN	NaN	2170	2100	
1515	NaN	NaN	960	NaN	NaN	NaN	2750	2800	
1516	NaN	NaN	950	NaN	NaN	NaN	2620	2470	
1517	NaN	1160	720	NaN	NaN	NaN	1880	1940	
1518	NaN	1200	1200	NaN	NaN	NaN	1410	2030	
1519	NaN	1000	770	NaN	NaN	NaN	860	1740	
1520	NaN	1190	840	NaN	NaN	NaN	1670	2760	
1521	NaN	1440	1090	NaN	NaN	2850	2410	2690	
1522	NaN	1500	990	NaN	NaN	2350	2220	1910	
1523	NaN	1370	690	NaN	NaN	2060	1930	2580	
1524	NaN	2170	850	NaN	NaN	2750	3030	3270	
1525	NaN	1590	330	NaN	NaN	1180	640	1290	
1526	NaN	1640	1520	NaN	NaN	2110	1360	2420	
1527	NaN	1930	2170	NaN	NaN	2150	1940	3380	
1528	NaN	1800	1950	NaN	NaN	2010	1810	2780	
1529	NaN	1790	1700	NaN	NaN	2550	2500	4210	
1530	NaN	1720	1870	NaN	NaN	2490	2740	4400	
1531	NaN	1190	1690	NaN	NaN	2240	1440	2810	
1532	NaN	1300	1330	NaN	1530	1330	1350	2480	
1533	NaN	1570	1550	NaN	1830	2450	1200	2190	
1534	NaN	1510	1140	NaN	2140	2230	1160	1850	
1535	NaN	1440	730	NaN	1920	1940	820	1940	
1536	NaN	1850	1120	NaN	2130	1990	1170	2080	
1537	NaN	1650	890	NaN	1400	1900	1400	2840	
1538	NaN	1770	1110	NaN	1730	1390	1590	2180	
1539	NaN	1960	970	NaN	2040	1650	1370	2190	
1540	NaN	1260	640	NaN	1120	1280	1160	2130	
1541	NaN	1070	330	1260	1300	770	490	940	
1542	NaN	1810	720	2230	2370	1740	1180	3080	
1543	NaN	1300	940	2480	1710	1850	1500	1650	
1544	NaN	1160	870	1640	1760	1110	1020	1050	
1545	NaN	1430	800	2000	1920	1630	1260	2160	
1546	NaN	900	380	1240	890	1000	1080	1280	
1547	NaN	760	200	1320	860	960	970	1360	
1548	NaN	950	450	1570	1480	1020	930	1220	
1549	NaN	1010	420	1650	1560	1380	1200	1130	
1550	NaN	1310	360	1790	1380	1280	2350	-9999	
1551	NaN	900	320	1630	1130	1380	1510	NaN	
1552	NaN	980	350	1490	940	1630	1620	NaN	
1553	3170	1010	340	1800	830	2070	1820	NaN	
1554	1900	1000	1350	1710	910	990	1090	NaN	
1555	2310	1250	4270	3230	880	1200	1750	NaN	
1556	1870	950	4650	2370	480	680	1390	NaN	
1557	1710	1100	4510	3750	570	640	1470	NaN	
1558	2350	1700	5020	4300	1010	1230	2180	NaN	
1559	2350	1750	3240	3410	790	710	900	NaN	
1560	2250	1340	2290	3750	1350	760	770	NaN	
1561	3120	1650	2200	3220	1920	1070	790	NaN	
1562	5000	4130	2310	3480	2830	1520	880	NaN	
1563	4860	3150	3030	4410	3520	2260	1250	NaN	
1564	4810	2450	1810	4050	2350	1660	1120	NaN	
1565	4300	2160	2140	3290	2520	2040	1380	NaN	
1566	5510	2930	1960	3960	2740	1450	1030	NaN	
1567	4030	1930	1250	3970	1520	1380	-9999	NaN	
1568	4840	2290	880	3470	2080	1350	NaN	NaN	
1569	3550	1140	980	2380	1880	1110	NaN	NaN	
1570	4770	2430	-9999	3210	1600	1770	NaN	NaN	
1571	3290	2640	NaN	2210	1190	1170	NaN	NaN	
1572	3090	3140	NaN	2010	1390	1100	NaN	NaN	
1573	3020	3040	NaN	1650	1750	1200	NaN	NaN	
1574	4000	3860	NaN	2060	2030	1300	NaN	NaN	
1575	4170	4250	NaN	2340	1860	1280	NaN	NaN	
1576	3530	3630	NaN	2310	1120	470	NaN	NaN	
1577	3690	2940	NaN	2170	1840	610	NaN	NaN	
1578	2120	2580	NaN	1980	1920	580	NaN	NaN	
1579	2760	3950	NaN	2700	2530	1200	NaN	NaN	
1580	1800	2680	NaN	1760	1670	1000	NaN	NaN	
1581	2370	2590	NaN	1690	1890	940	NaN	NaN	
1582	1580	2360	NaN	1400	1450	730	NaN	NaN	
1583	1130	1690	NaN	820	1430	380	NaN	NaN	
1584	1860	-9999	NaN	2080	1680	640	NaN	NaN	
1585	1410	NaN	NaN	960	-9999	780	NaN	NaN	
1586	-9999	NaN	NaN	1400	NaN	830	NaN	NaN	
1587	NaN	NaN	NaN	830	NaN	460	NaN	NaN	
1588	NaN	NaN	NaN	1040	NaN	1000	NaN	NaN	
