ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wv002 - Knob Job - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2989
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wv002 - Knob Job - 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.
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# 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: Knob Job
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.85
#	Southernmost_Latitude: 38.85
#	Easternmost_Longitude: -79.37
#	Westernmost_Longitude: -79.37
#	Elevation: 500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wv002B
#	Earliest_Year: 1476
#	Most_Recent_Year: 1981
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.18383097615","T2":"14.4879201799","M1":"0.0226289892221","M2":"0.581509834997"}}
#--------------------
# Species
#	Species_Name: eastern red cedar
#	Species_Code: JUVI
#--------------------
# Chronology:
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# 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
1476	0.858
1477	0.821
1478	0.744
1479	0.812
1480	0.88
1481	0.797
1482	1.196
1483	1.012
1484	1.084
1485	0.995
1486	0.955
1487	0.96
1488	0.864
1489	1.583
1490	1.017
1491	1.235
1492	2.141
1493	1.011
1494	1.207
1495	0.868
1496	0.995
1497	0.65
1498	1.038
1499	0.802
1500	0.994
1501	0.936
1502	0.988
1503	0.663
1504	0.803
1505	0.814
1506	0.987
1507	1.09
1508	1.007
1509	0.768
1510	1.324
1511	1.256
1512	1.166
1513	1.023
1514	0.72
1515	0.931
1516	1.144
1517	1.104
1518	1.141
1519	1.109
1520	1.066
1521	0.755
1522	1.086
1523	1.006
1524	1.086
1525	0.969
1526	0.726
1527	1.157
1528	1.112
1529	1.017
1530	1.302
1531	0.884
1532	1.083
1533	0.892
1534	0.781
1535	0.915
1536	0.843
1537	0.798
1538	1.144
1539	1.096
1540	0.932
1541	1.122
1542	0.924
1543	1.159
1544	1.055
1545	0.901
1546	0.834
1547	0.852
1548	0.977
1549	1.021
1550	0.878
1551	0.739
1552	0.751
1553	1.125
1554	0.842
1555	0.644
1556	0.576
1557	0.782
1558	0.938
1559	0.73
1560	0.657
1561	0.986
1562	0.895
1563	0.884
1564	0.579
1565	0.941
1566	0.597
1567	0.657
1568	0.783
1569	0.766
1570	0.683
1571	0.67
1572	0.934
1573	0.507
1574	0.618
1575	0.634
1576	0.626
1577	1.262
1578	1.071
1579	1.136
1580	0.978
1581	0.771
1582	0.852
1583	0.719
1584	0.839
1585	1.114
1586	0.737
1587	0.472
1588	0.873
1589	1.066
1590	0.816
1591	0.61
1592	0.95
1593	1.065
1594	0.977
1595	0.894
1596	0.589
1597	0.48
1598	0.526
1599	0.464
1600	0.493
1601	0.472
1602	1.165
1603	1.216
1604	1.089
1605	1.027
1606	0.858
1607	0.956
1608	0.871
1609	0.683
1610	0.641
1611	1.034
1612	0.979
1613	1.062
1614	1.003
1615	1.033
1616	1.039
1617	1.235
1618	1.206
1619	1.222
1620	0.787
1621	0.847
1622	0.931
1623	0.892
1624	1.065
1625	1.235
1626	1.024
1627	0.984
1628	0.704
1629	0.579
1630	0.691
1631	0.608
1632	0.732
1633	0.649
1634	0.793
1635	0.424
1636	0.518
1637	1.085
1638	0.745
1639	0.811
1640	0.939
1641	0.952
1642	0.938
1643	0.902
1644	1.201
1645	0.89
1646	0.733
1647	1.106
1648	1.079
1649	0.938
1650	1.1
1651	0.998
1652	0.873
1653	0.99
1654	0.688
1655	0.56
1656	0.759
1657	0.766
1658	1.213
1659	1.319
1660	1.061
1661	0.814
1662	0.952
1663	0.765
1664	0.659
1665	0.832
1666	0.846
1667	0.993
1668	0.739
1669	1.023
1670	0.763
1671	0.93
1672	1.523
1673	1.128
1674	1.191
1675	1.208
1676	1.006
1677	1.428
1678	1.368
1679	0.817
1680	1.562
1681	1.058
1682	0.95
1683	1.198
1684	1.054
1685	1.078
1686	0.984
1687	0.95
1688	0.594
1689	0.963
1690	0.886
1691	0.693
1692	1.083
1693	0.957
1694	1.228
1695	1.203
1696	1.018
1697	1.19
1698	1.019
1699	1.092
1700	0.823
1701	0.574
1702	0.876
1703	0.789
1704	0.832
1705	0.852
1706	1.05
1707	0.998
1708	0.64
1709	0.9
1710	0.839
1711	1.201
1712	1.044
1713	1.169
1714	1.24
1715	1.448
1716	1.257
1717	1.532
1718	1.375
1719	1.071
1720	1.27
1721	1.076
1722	1.156
1723	1.014
1724	1.121
1725	1.141
1726	1.207
1727	1.167
1728	1.065
1729	1.347
1730	1.186
1731	1.155
1732	1.069
1733	0.867
1734	0.951
1735	0.733
1736	0.909
1737	0.931
1738	1.166
1739	1.277
1740	1.355
1741	1.135
1742	1.239
1743	1.053
1744	1.616
1745	1.512
1746	0.767
1747	0.853
1748	0.491
1749	0.681
1750	0.959
1751	0.803
1752	0.936
1753	1.124
1754	1.399
1755	0.609
1756	1.147
1757	0.767
1758	0.865
1759	0.948
1760	0.874
1761	0.84
1762	0.635
1763	0.967
1764	0.769
1765	0.932
1766	0.607
1767	0.699
1768	0.533
1769	0.686
1770	0.829
1771	1.128
1772	0.695
1773	0.37
1774	0.766
1775	1.021
1776	1.207
1777	1.283
1778	0.829
1779	0.971
1780	0.764
1781	1.499
1782	1.13
1783	1.533
1784	0.789
1785	0.932
1786	1.085
1787	1.046
1788	0.804
1789	0.779
1790	0.888
1791	0.927
1792	0.703
1793	1.387
1794	1.054
1795	1.099
1796	1.641
1797	0.992
1798	1.321
1799	1.006
1800	1.223
1801	1.152
1802	1.393
1803	1.008
1804	0.749
1805	0.777
1806	0.586
1807	0.729
1808	1.358
1809	1.129
1810	0.965
1811	0.555
1812	0.55
1813	0.669
1814	0.733
1815	1.03
1816	1.046
1817	0.964
1818	0.804
1819	0.648
1820	1.053
1821	0.83
1822	0.887
1823	0.929
1824	1.471
1825	1.342
1826	1.116
1827	1.243
1828	1.189
1829	0.863
1830	1.373
1831	1.214
1832	1.017
1833	1.04
1834	1.142
1835	0.924
1836	1.093
1837	1.031
1838	1.054
1839	0.815
1840	1.225
1841	0.924
1842	1.784
1843	0.967
1844	1.058
1845	0.756
1846	1.262
1847	1.087
1848	1.313
1849	1.439
1850	1.133
1851	1.379
1852	1.568
1853	1.283
1854	1.492
1855	1.191
1856	0.972
1857	1.706
1858	1.376
1859	1.077
1860	1.046
1861	1.001
1862	1.04
1863	1.055
1864	0.722
1865	1.454
1866	0.969
1867	1.048
1868	1.075
1869	0.919
1870	1.019
1871	0.997
1872	0.644
1873	0.756
1874	0.633
1875	1.006
1876	1.128
1877	1.079
1878	1.25
1879	0.538
1880	0.604
1881	0.59
1882	0.937
1883	0.803
1884	0.932
1885	0.632
1886	0.768
1887	0.55
1888	0.862
1889	1.204
1890	1.164
1891	1.18
1892	0.972
1893	0.764
1894	0.91
1895	0.694
1896	0.495
1897	1.176
1898	1.201
1899	1.23
1900	1.167
1901	1.012
1902	0.976
1903	1.325
1904	1.232
1905	0.944
1906	1.078
1907	1.16
1908	1.231
1909	1.135
1910	1.334
1911	0.688
1912	0.719
1913	0.953
1914	0.629
1915	0.94
1916	0.878
1917	0.914
1918	0.843
1919	1.078
1920	0.903
1921	0.905
1922	0.818
1923	0.858
1924	1.138
1925	1.156
1926	0.715
1927	0.832
1928	0.866
1929	1.041
1930	0.325
1931	0.845
1932	0.978
1933	1.22
1934	1.091
1935	1.401
1936	0.879
1937	0.735
1938	1.228
1939	1.195
1940	1.034
1941	0.594
1942	0.747
1943	0.822
1944	0.915
1945	0.915
1946	1.102
1947	0.67
1948	0.721
1949	0.635
1950	0.946
1951	1.144
1952	0.941
1953	1.038
1954	0.99
1955	1.035
1956	0.869
1957	0.853
1958	0.673
1959	0.743
1960	0.784
1961	1.069
1962	0.902
1963	0.661
1964	0.552
1965	0.729
1966	0.62
1967	0.916
1968	1.259
1969	0.652
1970	0.589
1971	0.908
1972	1.364
1973	1.432
1974	1.498
1975	1.313
1976	1.404
1977	0.511
1978	0.615
1979	0.918
1980	0.96
1981	1.303