ÃÂ¯ÃÂ»ÃÂ¿# northamerica_canada_cana174 - Mount Cain - 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/4091
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana174 - Mount Cain - 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: Mount Cain
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 50.22
#	Southernmost_Latitude: 50.22
#	Easternmost_Longitude: -126.35
#	Westernmost_Longitude: -126.35
#	Elevation: 1005 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana174B
#	Earliest_Year: 1394
#	Most_Recent_Year: 1999
#	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":"5.88287493298","T2":"17.7513480297","M1":"0.0222526719656","M2":"0.373215181123"}}
#--------------------
# Species
#	Species_Name: Pacific silver fir
#	Species_Code: ABAM
#--------------------
# 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
1394	0.667
1395	1.157
1396	1.076
1397	1.512
1398	1.213
1399	1.322
1400	1.705
1401	1.924
1402	1.515
1403	2.063
1404	1.407
1405	1.599
1406	1.299
1407	1.519
1408	1.135
1409	1.108
1410	1.493
1411	0.752
1412	1.137
1413	1.192
1414	1.523
1415	0.863
1416	0.753
1417	1.058
1418	1.046
1419	0.595
1420	0.595
1421	0.783
1422	0.547
1423	0.556
1424	0.476
1425	0.476
1426	0.735
1427	1.087
1428	0.903
1429	0.885
1430	0.922
1431	0.838
1432	0.749
1433	0.549
1434	0.522
1435	0.549
1436	0.487
1437	0.816
1438	0.389
1439	0.55
1440	0.432
1441	0.341
1442	0.228
1443	0.445
1444	0.398
1445	0.268
1446	0.274
1447	0.156
1448	0.249
1449	0.386
1450	0.295
1451	0.306
1452	0.453
1453	0.331
1454	0.264
1455	0.25
1456	0.205
1457	0.284
1458	0.459
1459	0.252
1460	0.287
1461	0.286
1462	0.274
1463	0.186
1464	0.192
1465	0.171
1466	0.418
1467	0.582
1468	0.54
1469	0.565
1470	0.552
1471	0.551
1472	0.562
1473	0.57
1474	0.407
1475	0.217
1476	0.232
1477	0.307
1478	0.372
1479	0.378
1480	0.383
1481	0.535
1482	0.654
1483	0.652
1484	0.561
1485	0.463
1486	0.512
1487	0.144
1488	0.248
1489	0.571
1490	0.488
1491	0.64
1492	0.344
1493	0.676
1494	0.554
1495	0.282
1496	0.511
1497	0.659
1498	0.677
1499	0.823
1500	1
1501	0.622
1502	0.427
1503	0.71
1504	0.991
1505	1.076
1506	1.014
1507	0.77
1508	0.28
1509	0.544
1510	0.714
1511	0.662
1512	0.344
1513	0.426
1514	0.644
1515	0.465
1516	0.721
1517	0.868
1518	1.141
1519	1.235
1520	1.373
1521	1.13
1522	0.52
1523	0.621
1524	0.685
1525	1.075
1526	1.268
1527	0.825
1528	0.757
1529	1.394
1530	1.539
1531	1.228
1532	0.899
1533	0.917
1534	0.71
1535	0.761
1536	1.139
1537	0.872
1538	1.195
1539	1.353
1540	1.456
1541	1.032
1542	0.867
1543	1.469
1544	1.491
1545	1.443
1546	0.781
1547	1.122
1548	0.932
1549	1.082
1550	1.437
1551	1.478
1552	0.751
1553	1.278
1554	1.115
1555	1.044
1556	1.562
1557	1.295
1558	1.457
1559	1.183
1560	1.246
1561	1.187
1562	1.539
1563	1.42
1564	1.408
1565	1.405
1566	1.337
1567	1.186
1568	0.755
1569	0.984
1570	1.225
1571	0.991
1572	1.001
1573	1.085
1574	1.403
1575	1.427
1576	0.801
1577	0.766
1578	1.339
1579	1.022
1580	0.975
1581	1.085
1582	1.293
1583	1.317
1584	0.789
1585	1.127
1586	1.204
1587	0.888
1588	1.152
1589	0.843
1590	1.182
1591	1.324
1592	0.734
1593	1.499
1594	1.086
1595	0.42
1596	0.852
1597	1.163
1598	0.93
1599	0.92
1600	0.702
1601	0.626
1602	0.823
1603	0.703
1604	0.693
1605	0.507
1606	0.785
1607	0.835
1608	0.759
1609	0.717
1610	0.687
1611	0.92
1612	0.957
1613	1.054
1614	1.123
1615	0.771
1616	0.989
1617	0.898
1618	0.497
1619	0.585
1620	0.657
1621	0.888
1622	0.81
1623	0.641
1624	0.87
1625	0.689
1626	0.806
1627	1.004
1628	0.761
1629	0.991
1630	0.974
1631	0.68
1632	0.923
1633	0.84
1634	0.827
1635	0.637
1636	0.607
1637	0.552
1638	0.999
1639	0.886
1640	0.827
1641	0.898
1642	1.131
1643	0.749
1644	0.879
1645	0.915
1646	0.948
1647	0.974
1648	0.919
1649	0.909
1650	0.841
1651	1.398
1652	1.329
1653	0.907
1654	0.82
1655	1.176
1656	1.159
1657	0.771
1658	1.044
1659	0.791
1660	0.976
1661	0.709
1662	0.725
1663	0.656
1664	0.616
1665	0.937
1666	1.021
1667	1.012
1668	0.781
1669	1.273
1670	1.103
1671	0.807
1672	0.757
1673	1.19
1674	1.041
1675	0.805
1676	0.797
1677	0.833
1678	0.68
1679	0.781
1680	0.762
1681	0.934
1682	1.066
1683	1.004
1684	0.919
1685	1.12
1686	1.135
1687	1.253
1688	1.154
1689	1.341
1690	1.1
1691	1.19
1692	1.26
1693	1.355
1694	0.938
1695	1.29
1696	0.981
1697	1.078
1698	1.188
1699	1.068
1700	1.343
1701	0.929
1702	1.213
1703	0.961
1704	1.062
1705	0.846
1706	0.853
1707	0.893
1708	1.079
1709	1.055
1710	1.113
1711	0.961
1712	0.861
1713	1.043
1714	1.06
1715	0.763
1716	0.967
1717	0.873
1718	0.861
1719	0.943
1720	0.809
1721	0.966
1722	1.133
1723	1.181
1724	1.06
1725	1.22
1726	1.189
1727	1.16
1728	0.908
1729	1.04
1730	0.807
1731	1.062
1732	1.195
1733	1.115
1734	0.918
1735	1.009
1736	0.738
1737	0.709
1738	0.759
1739	1.047
1740	0.869
1741	0.893
1742	0.681
1743	0.845
1744	0.71
1745	0.689
1746	0.712
1747	0.937
1748	0.923
1749	1.066
1750	1.218
1751	1.132
1752	0.852
1753	0.974
1754	0.78
1755	0.892
1756	1.131
1757	1.075
1758	1.001
1759	1.152
1760	1.137
1761	1.184
1762	1.192
1763	1.276
1764	1.177
1765	1.004
1766	1.276
1767	1.014
1768	1.063
1769	1.006
1770	1.093
1771	1.113
1772	1.047
1773	1.211
1774	1.327
1775	0.848
1776	0.978
1777	1.252
1778	1.153
1779	0.94
1780	1.316
1781	1.073
1782	1.092
1783	1.321
1784	1.271
1785	1.277
1786	1.355
1787	1.194
1788	1.39
1789	1.498
1790	1.219
1791	1.324
1792	1.556
1793	1.412
1794	1.618
1795	1.178
1796	1.064
1797	0.947
1798	1.285
1799	0.933
1800	0.958
1801	0.792
1802	0.952
1803	0.942
1804	1.011
1805	1.012
1806	0.919
1807	1.05
1808	0.71
1809	0.865
1810	0.634
1811	0.883
1812	0.887
1813	0.928
1814	1.041
1815	0.734
1816	1.048
1817	0.958
1818	0.954
1819	0.786
1820	0.887
1821	0.829
1822	0.968
1823	1.094
1824	0.718
1825	0.95
1826	0.803
1827	0.733
1828	0.773
1829	0.839
1830	0.81
1831	0.74
1832	0.793
1833	0.918
1834	1.063
1835	0.882
1836	0.794
1837	0.801
1838	0.662
1839	1.024
1840	0.941
1841	1.006
1842	0.777
1843	1.095
1844	0.91
1845	0.815
1846	1.109
1847	0.864
1848	1.105
1849	0.907
1850	0.83
1851	0.932
1852	0.9
1853	0.666
1854	0.898
1855	0.975
1856	0.754
1857	0.853
1858	0.757
1859	0.923
1860	1.304
1861	1.165
1862	0.801
1863	1.044
1864	0.888
1865	1.14
1866	0.909
1867	1.089
1868	1.373
1869	1.23
1870	0.953
1871	0.937
1872	1.178
1873	0.995
1874	1.026
1875	0.985
1876	0.558
1877	0.857
1878	0.978
1879	1.045
1880	0.873
1881	0.951
1882	0.993
1883	0.886
1884	1.169
1885	0.938
1886	1.171
1887	0.794
1888	0.769
1889	0.796
1890	0.711
1891	0.796
1892	0.744
1893	0.977
1894	1.037
1895	1.045
1896	1
1897	0.79
1898	0.751
1899	0.681
1900	0.94
1901	1.06
1902	1.274
1903	1.22
1904	1.553
1905	1.429
1906	1.075
1907	1.206
1908	0.922
1909	0.79
1910	1.044
1911	1.062
1912	1.157
1913	1.582
1914	1.486
1915	1.548
1916	1.081
1917	1.469
1918	1.626
1919	1.371
1920	1.601
1921	0.967
1922	1.338
1923	1.375
1924	1.025
1925	1.014
1926	1.016
1927	1.244
1928	1.231
1929	1.422
1930	1.492
1931	1.411
1932	0.981
1933	0.945
1934	0.994
1935	1.503
1936	1.481
1937	1.439
1938	1.582
1939	1.172
1940	1.337
1941	1.556
1942	1.107
1943	1.034
1944	1.477
1945	0.917
1946	0.536
1947	0.784
1948	1.191
1949	1.061
1950	1.072
1951	1.115
1952	0.769
1953	0.795
1954	0.773
1955	1.139
1956	0.719
1957	0.986
1958	1.224
1959	0.63
1960	0.783
1961	0.984
1962	0.765
1963	1.181
1964	0.958
1965	1.206
1966	0.913
1967	1.006
1968	0.832
1969	0.644
1970	0.722
1971	0.643
1972	0.468
1973	0.545
1974	0.282
1975	0.495
1976	0.383
1977	0.725
1978	0.595
1979	0.823
1980	0.964
1981	0.972
1982	0.567
1983	0.508
1984	0.617
1985	0.715
1986	0.489
1987	0.584
1988	0.408
1989	0.331
1990	0.452
1991	0.351
1992	0.577
1993	0.4
1994	0.672
1995	0.646
1996	0.686
1997	0.769
1998	0.982
1999	0.571