ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ak091 - Rock Tor - 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/8602
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ak091 - Rock Tor - 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: Rock Tor
#	Location:
#	Country: United States
#	Northernmost_Latitude: 61.05
#	Southernmost_Latitude: 61.05
#	Easternmost_Longitude: -147.1
#	Westernmost_Longitude: -147.1
#	Elevation: 90 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak091B
#	Earliest_Year: 1600
#	Most_Recent_Year: 2002
#	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":"6.68491673572","T2":"17.1946834715","M1":"0.0223519108138","M2":"0.395719878096"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1406	0.598
1407	0.621
1408	0.581
1409	0.642
1410	0.586
1411	0.807
1412	0.711
1413	0.542
1414	0.536
1415	0.495
1416	0.453
1417	0.689
1418	1.124
1419	0.952
1420	0.628
1421	0.688
1422	0.473
1423	0.694
1424	0.746
1425	0.847
1426	0.955
1427	1.187
1428	1.165
1429	1.311
1430	1.408
1431	0.862
1432	1.064
1433	0.816
1434	0.783
1435	0.753
1436	0.838
1437	0.77
1438	0.814
1439	0.746
1440	1.256
1441	1.579
1442	1.734
1443	1.667
1444	1.148
1445	1.088
1446	1.375
1447	1.542
1448	0.984
1449	0.614
1450	0.898
1451	0.899
1452	0.829
1453	0.949
1454	0.62
1455	0.899
1456	0.585
1457	0.64
1458	1.294
1459	0.626
1460	1.315
1461	0.94
1462	1.14
1463	0.442
1464	0.521
1465	0.764
1466	0.604
1467	1.093
1468	1.015
1469	0.611
1470	1.14
1471	0.57
1472	0.841
1473	1.103
1474	0.648
1475	0.411
1476	0.557
1477	0.457
1478	0.415
1479	0.424
1480	0.579
1481	0.821
1482	0.654
1483	0.875
1484	1.213
1485	0.974
1486	0.843
1487	0.739
1488	0.803
1489	0.793
1490	1.048
1491	0.695
1492	0.646
1493	0.474
1494	0.618
1495	0.692
1496	0.832
1497	0.907
1498	0.465
1499	0.624
1500	0.994
1501	0.938
1502	0.549
1503	0.649
1504	0.821
1505	0.362
1506	1.08
1507	0.975
1508	1.222
1509	0.955
1510	1.161
1511	1.186
1512	1.272
1513	1.186
1514	1.14
1515	0.818
1516	0.645
1517	1.202
1518	0.794
1519	1.082
1520	1.182
1521	0.643
1522	0.669
1523	0.94
1524	1.207
1525	0.98
1526	1.163
1527	0.842
1528	0.565
1529	0.71
1530	0.882
1531	0.937
1532	0.71
1533	1.046
1534	0.93
1535	1.259
1536	1.12
1537	1.202
1538	1.069
1539	1.423
1540	0.867
1541	1.377
1542	0.973
1543	0.817
1544	1.246
1545	1.297
1546	1.267
1547	1.14
1548	1.025
1549	0.872
1550	0.811
1551	1.248
1552	0.389
1553	0.536
1554	0.52
1555	0.95
1556	1.126
1557	0.588
1558	1.538
1559	1.415
1560	1.144
1561	1.285
1562	1.149
1563	0.892
1564	1.092
1565	0.989
1566	0.974
1567	0.642
1568	0.812
1569	0.801
1570	0.83
1571	0.813
1572	0.55
1573	0.956
1574	0.56
1575	0.897
1576	0.902
1577	1.04
1578	1.2
1579	1.164
1580	1.009
1581	1.26
1582	1.362
1583	1.24
1584	1.132
1585	0.522
1586	0.923
1587	0.584
1588	0.515
1589	0.634
1590	0.723
1591	1.269
1592	0.977
1593	1.122
1594	1.279
1595	1.216
1596	0.686
1597	1.247
1598	0.735
1599	0.784
1600	0.699
1601	0.803
1602	0.453
1603	1.04
1604	0.957
1605	0.926
1606	1.15
1607	1.329
1608	1.285
1609	1.084
1610	1.35
1611	1.344
1612	1.408
1613	0.939
1614	1.186
1615	0.884
1616	1.191
1617	1.194
1618	0.535
1619	0.664
1620	0.114
1621	0.447
1622	0.814
1623	0.681
1624	0.597
1625	0.695
1626	0.901
1627	1.153
1628	1.307
1629	1.189
1630	1.169
1631	1.158
1632	1.571
1633	1.259
1634	1.128
1635	1.365
1636	1.067
1637	1.036
1638	0.887
1639	0.381
1640	0.969
1641	0.65
1642	0.408
1643	0.779
1644	0.616
1645	0.713
1646	0.92
1647	0.938
1648	1.001
1649	1.106
1650	1.479
1651	1.733
1652	1.184
1653	1.06
1654	1.086
1655	0.913
1656	0.955
1657	0.974
1658	0.838
1659	0.918
1660	1.03
1661	0.936
1662	0.423
1663	0.488
1664	0.534
1665	0.685
1666	0.814
1667	1.011
1668	1.191
1669	0.996
1670	1.232
1671	1.48
1672	1.177
1673	0.988
1674	0.775
1675	0.982
1676	0.779
1677	0.354
1678	0.542
1679	0.386
1680	0.686
1681	0.77
1682	0.721
1683	1.285
1684	1.33
1685	1.578
1686	1.419
1687	1.291
1688	1.308
1689	1.05
1690	0.833
1691	0.805
1692	1.273
1693	1.099
1694	1.299
1695	1.1
1696	0.775
1697	0.238
1698	0.129
1699	-0.023
1700	0.365
1701	0.469
1702	0.6
1703	0.74
1704	0.915
1705	1.001
1706	0.798
1707	0.785
1708	0.635
1709	0.767
1710	0.551
1711	0.564
1712	0.917
1713	1.027
1714	0.666
1715	1.072
1716	0.563
1717	0.598
1718	1.077
1719	0.994
1720	1.139
1721	1.057
1722	1.365
1723	1.493
1724	1.145
1725	1.127
1726	0.843
1727	0.928
1728	1.22
1729	1.397
1730	1.095
1731	1.074
1732	1.17
1733	1.054
1734	0.765
1735	0.742
1736	0.784
1737	0.893
1738	0.642
1739	1.259
1740	0.98
1741	1.307
1742	1.233
1743	1.205
1744	0.421
1745	0.815
1746	0.414
1747	1.055
1748	0.816
1749	1.33
1750	1.37
1751	1.264
1752	0.886
1753	0.824
1754	0.375
1755	0.315
1756	0.537
1757	0.741
1758	0.948
1759	0.765
1760	1.057
1761	1.242
1762	1.001
1763	1.424
1764	0.755
1765	1.141
1766	0.921
1767	1.093
1768	0.773
1769	0.966
1770	0.816
1771	0.837
1772	1.121
1773	1.009
1774	1.321
1775	0.724
1776	0.847
1777	0.743
1778	0.682
1779	1.066
1780	1.047
1781	1.042
1782	1.046
1783	1.004
1784	1.158
1785	1.424
1786	1.169
1787	1.202
1788	1.3
1789	1.031
1790	0.854
1791	0.882
1792	1.289
1793	1.257
1794	1.176
1795	1.588
1796	1.008
1797	1.584
1798	1.379
1799	1.627
1800	0.957
1801	1.271
1802	1.304
1803	1.403
1804	1.81
1805	1.553
1806	1.23
1807	1.128
1808	1.414
1809	0.912
1810	1.005
1811	0.872
1812	0.861
1813	0.659
1814	0.48
1815	0.859
1816	1.138
1817	1.023
1818	1.219
1819	1.368
1820	1.516
1821	1.48
1822	1.58
1823	1.586
1824	1.694
1825	1.904
1826	1.395
1827	0.847
1828	1.458
1829	1.438
1830	1.092
1831	0.853
1832	1.171
1833	1.379
1834	1.039
1835	1.125
1836	1.062
1837	1.077
1838	1.449
1839	1.349
1840	1.401
1841	1.641
1842	1.328
1843	1.1
1844	1.253
1845	1.227
1846	1.457
1847	1.109
1848	1.097
1849	0.623
1850	0.652
1851	0.876
1852	1.379
1853	1.369
1854	1.094
1855	1.136
1856	0.918
1857	1.218
1858	1.235
1859	0.993
1860	0.802
1861	0.823
1862	0.405
1863	0.47
1864	0.781
1865	0.893
1866	1.202
1867	1.33
1868	1.24
1869	1.251
1870	1.534
1871	0.982
1872	1.666
1873	1.476
1874	0.92
1875	1.129
1876	0.34
1877	0.226
1878	0.551
1879	0.493
1880	0.494
1881	0.812
1882	0.705
1883	0.451
1884	0.965
1885	1.012
1886	0.846
1887	0.506
1888	0.721
1889	0.843
1890	0.658
1891	0.676
1892	1.052
1893	0.95
1894	0.623
1895	0.591
1896	0.741
1897	0.456
1898	0.548
1899	0.615
1900	0.862
1901	0.54
1902	0.744
1903	0.651
1904	0.673
1905	1.185
1906	1.071
1907	0.803
1908	0.774
1909	0.986
1910	0.609
1911	1.037
1912	0.961
1913	0.954
1914	1.114
1915	1.499
1916	1.158
1917	1.182
1918	1.308
1919	1.111
1920	1.108
1921	1.381
1922	1.115
1923	1.172
1924	1.345
1925	1.188
1926	1.464
1927	1.153
1928	1.079
1929	1.166
1930	1.357
1931	1.141
1932	1.051
1933	1.142
1934	1.107
1935	1.275
1936	1.114
1937	0.589
1938	0.515
1939	0.697
1940	0.949
1941	1.247
1942	1.516
1943	1.22
1944	0.886
1945	1.15
1946	0.844
1947	1.05
1948	1.107
1949	1.013
1950	1.153
1951	0.858
1952	0.903
1953	1.043
1954	0.711
1955	0.33
1956	0.401
1957	0.83
1958	0.799
1959	0.785
1960	1.079
1961	1.121
1962	1.166
1963	1.206
1964	1.003
1965	0.9
1966	0.936
1967	0.777
1968	0.863
1969	0.755
1970	0.623
1971	0.789
1972	0.592
1973	0.265
1974	0.724
1975	0.504
1976	0.632
1977	0.78
1978	0.67
1979	0.643
1980	0.622
1981	1.005
1982	0.998
1983	1.105
1984	1.098
1985	1.027
1986	0.993
1987	0.75
1988	0.888
1989	0.736
1990	0.665
1991	0.784
1992	0.798
1993	0.801
1994	0.969
1995	1.038
1996	1.208
1997	1.259
1998	0.877
1999	0.913
2000	0.71
2001	0.936
2002	1.004