ÃÂ¯ÃÂ»ÃÂ¿# northamerica_canada_cana036 - St. Anne River - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3032
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana036 - St. Anne River - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
#------------------
# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: St. Anne River
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 48.58
#	Southernmost_Latitude: 48.58
#	Easternmost_Longitude: -65.92
#	Westernmost_Longitude: -65.92
#	Elevation: 100 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana036B
#	Earliest_Year: 1404
#	Most_Recent_Year: 1982
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.1511858737","T2":"14.5901479353","M1":"0.0226318950943","M2":"0.393333315092"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014.
#--------------------
# Species
#	Species_Name: northern white-cedar
#	Species_Code: THOC
#--------------------
# Chronology:
#
#
#
#--------------------
# Variables
#
# Data variables follow that are preceded by ## in columns one and two.
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1404	0.801
1405	0.899
1406	0.998
1407	1
1408	1.113
1409	1.017
1410	1.089
1411	1.034
1412	1.121
1413	1.165
1414	1.21
1415	0.998
1416	1.199
1417	1.101
1418	1.175
1419	0.975
1420	0.948
1421	0.863
1422	0.922
1423	0.996
1424	1.012
1425	1.034
1426	1.061
1427	0.796
1428	0.789
1429	0.689
1430	0.834
1431	0.755
1432	0.701
1433	0.99
1434	1.013
1435	0.955
1436	1.009
1437	1.009
1438	0.88
1439	0.991
1440	0.989
1441	1.115
1442	1.108
1443	1.13
1444	1.232
1445	0.959
1446	0.923
1447	0.98
1448	0.863
1449	0.715
1450	0.773
1451	1.096
1452	0.997
1453	0.999
1454	0.839
1455	0.795
1456	1.063
1457	0.775
1458	0.896
1459	0.86
1460	0.933
1461	0.869
1462	0.747
1463	0.812
1464	0.688
1465	0.778
1466	0.831
1467	0.813
1468	0.827
1469	0.942
1470	0.853
1471	0.672
1472	0.761
1473	0.891
1474	1.329
1475	1.175
1476	0.935
1477	1.031
1478	0.966
1479	1.149
1480	1.179
1481	1.184
1482	0.946
1483	1.219
1484	0.897
1485	0.961
1486	0.935
1487	0.794
1488	0.978
1489	1.003
1490	1.16
1491	1.248
1492	1.209
1493	1.176
1494	1.145
1495	0.97
1496	1.04
1497	1.098
1498	1.21
1499	1.142
1500	1.157
1501	1.023
1502	1.004
1503	1.258
1504	1.254
1505	1.139
1506	1.219
1507	1.201
1508	1.137
1509	1.029
1510	1.062
1511	0.943
1512	0.918
1513	1.065
1514	1.089
1515	1.112
1516	1.075
1517	0.843
1518	0.837
1519	0.916
1520	0.948
1521	1.224
1522	0.88
1523	0.974
1524	0.954
1525	0.933
1526	0.875
1527	0.963
1528	0.929
1529	0.986
1530	0.869
1531	0.715
1532	0.687
1533	0.892
1534	0.749
1535	0.982
1536	1.008
1537	0.806
1538	0.763
1539	0.821
1540	0.933
1541	0.865
1542	1.027
1543	1.004
1544	1.025
1545	1.052
1546	0.902
1547	1.084
1548	0.961
1549	0.855
1550	0.903
1551	0.982
1552	1.006
1553	0.792
1554	0.969
1555	1.101
1556	1.188
1557	0.958
1558	0.893
1559	1.072
1560	1.042
1561	0.938
1562	1.115
1563	1.248
1564	1.187
1565	1.031
1566	1.051
1567	0.952
1568	1.083
1569	1.164
1570	1.16
1571	1.161
1572	0.977
1573	1.17
1574	1.32
1575	1.084
1576	1.062
1577	0.851
1578	0.902
1579	0.893
1580	0.81
1581	1.036
1582	1.043
1583	0.979
1584	1.095
1585	1.231
1586	0.982
1587	0.823
1588	0.969
1589	0.858
1590	0.806
1591	0.722
1592	0.989
1593	0.88
1594	0.723
1595	0.865
1596	0.791
1597	0.98
1598	0.952
1599	1.023
1600	0.886
1601	1.005
1602	0.934
1603	0.752
1604	0.806
1605	0.9
1606	0.928
1607	0.868
1608	0.907
1609	0.936
1610	1.072
1611	0.871
1612	0.989
1613	0.82
1614	0.781
1615	0.734
1616	0.902
1617	1.133
1618	1.08
1619	1.293
1620	1.117
1621	1.163
1622	1.163
1623	1.215
1624	1.048
1625	1.21
1626	1.135
1627	1.269
1628	1.112
1629	0.948
1630	0.993
1631	0.999
1632	0.996
1633	0.826
1634	0.917
1635	0.828
1636	0.865
1637	1.075
1638	1.184
1639	1.194
1640	1.205
1641	1.307
1642	1.136
1643	1.055
1644	1.024
1645	0.833
1646	0.813
1647	0.798
1648	0.927
1649	1.034
1650	0.932
1651	0.938
1652	0.816
1653	0.854
1654	0.984
1655	0.989
1656	1.055
1657	1.049
1658	1.095
1659	0.886
1660	0.884
1661	1.127
1662	1.021
1663	0.867
1664	1.073
1665	1.183
1666	0.978
1667	0.909
1668	0.898
1669	1.022
1670	0.965
1671	0.939
1672	0.944
1673	1.031
1674	0.963
1675	1.21
1676	1.165
1677	0.913
1678	1.09
1679	1.234
1680	1.225
1681	1.31
1682	1.198
1683	1.172
1684	1.239
1685	1.306
1686	1.26
1687	1.081
1688	0.845
1689	1.183
1690	1.139
1691	1.379
1692	1.104
1693	1.05
1694	1.174
1695	1.17
1696	1.137
1697	1.068
1698	1.081
1699	1.081
1700	1.092
1701	0.849
1702	1.038
1703	1.007
1704	0.947
1705	0.803
1706	1.051
1707	1.103
1708	1.081
1709	0.968
1710	1.062
1711	0.975
1712	0.981
1713	0.955
1714	1.145
1715	1.057
1716	0.958
1717	0.928
1718	0.954
1719	0.882
1720	0.652
1721	0.738
1722	0.725
1723	0.779
1724	0.835
1725	0.887
1726	0.991
1727	1.042
1728	0.994
1729	1.093
1730	0.881
1731	0.973
1732	1.115
1733	1.019
1734	1.079
1735	1.167
1736	0.781
1737	0.891
1738	1.077
1739	0.992
1740	1.004
1741	0.953
1742	0.995
1743	1.084
1744	0.832
1745	0.833
1746	0.649
1747	0.769
1748	0.828
1749	0.995
1750	0.807
1751	0.748
1752	0.935
1753	0.94
1754	1.158
1755	1.148
1756	1.061
1757	0.909
1758	0.886
1759	1.043
1760	0.936
1761	1.026
1762	1.15
1763	0.902
1764	0.945
1765	0.898
1766	0.982
1767	1.156
1768	1.016
1769	0.887
1770	1.066
1771	1.059
1772	0.943
1773	0.878
1774	1.04
1775	1.047
1776	0.868
1777	0.779
1778	0.854
1779	0.914
1780	0.908
1781	0.817
1782	0.772
1783	0.678
1784	0.876
1785	0.885
1786	0.907
1787	0.979
1788	0.781
1789	0.844
1790	0.85
1791	0.917
1792	0.479
1793	0.981
1794	0.795
1795	0.839
1796	0.958
1797	0.821
1798	0.885
1799	0.949
1800	1.049
1801	1.139
1802	0.996
1803	1.11
1804	1.009
1805	1.035
1806	0.983
1807	1.302
1808	1.115
1809	1.173
1810	1.283
1811	1.109
1812	1.019
1813	1.025
1814	0.898
1815	1.022
1816	0.936
1817	0.872
1818	0.898
1819	0.925
1820	0.92
1821	0.852
1822	0.81
1823	0.801
1824	0.656
1825	0.688
1826	0.599
1827	0.676
1828	0.866
1829	0.767
1830	0.956
1831	0.813
1832	1.072
1833	0.972
1834	0.818
1835	0.728
1836	0.708
1837	0.821
1838	0.611
1839	0.602
1840	0.572
1841	0.694
1842	0.623
1843	0.745
1844	0.709
1845	0.724
1846	0.621
1847	0.708
1848	0.619
1849	0.462
1850	0.533
1851	0.656
1852	0.742
1853	0.556
1854	0.744
1855	0.724
1856	0.577
1857	0.636
1858	0.644
1859	0.683
1860	0.583
1861	0.76
1862	0.802
1863	0.732
1864	0.706
1865	0.602
1866	0.719
1867	0.659
1868	0.655
1869	0.698
1870	0.492
1871	0.7
1872	0.666
1873	0.776
1874	0.916
1875	0.947
1876	0.703
1877	0.658
1878	0.889
1879	0.917
1880	0.788
1881	0.728
1882	0.782
1883	0.823
1884	1.037
1885	1.055
1886	0.965
1887	0.916
1888	0.838
1889	0.896
1890	0.764
1891	0.747
1892	0.763
1893	0.635
1894	0.805
1895	0.915
1896	1.02
1897	0.861
1898	0.77
1899	1.074
1900	1.062
1901	1.087
1902	0.809
1903	0.884
1904	1.148
1905	0.781
1906	0.794
1907	0.771
1908	0.838
1909	0.996
1910	0.972
1911	1.084
1912	0.968
1913	1.145
1914	0.96
1915	0.893
1916	1.026
1917	0.945
1918	1.077
1919	1.058
1920	1.099
1921	1.124
1922	1.102
1923	1.084
1924	0.904
1925	0.87
1926	0.942
1927	0.914
1928	0.986
1929	0.887
1930	0.811
1931	1.113
1932	1.135
1933	1.188
1934	1.225
1935	1.101
1936	0.932
1937	1.287
1938	0.923
1939	1.275
1940	1.266
1941	1.154
1942	1.325
1943	1.558
1944	1.584
1945	1.399
1946	1.487
1947	1.222
1948	1.356
1949	1.197
1950	1.382
1951	1.27
1952	1.36
1953	1.339
1954	1.276
1955	1.226
1956	1.095
1957	1.306
1958	1.498
1959	1.295
1960	1.315
1961	1.392
1962	1.108
1963	1.274
1964	1.396
1965	1.267
1966	1.205
1967	1.144
1968	1.285
1969	1.205
1970	1.284
1971	1.418
1972	1.368
1973	1.521
1974	1.397
1975	1.634
1976	1.459
1977	1.488
1978	1.733
1979	1.503
1980	2.058
1981	1.254
1982	1.694