ÃÂ¯ÃÂ»ÃÂ¿# asia_russ187 - Kirlach - 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.
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#
# 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/3570
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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: asia_russ187 - Kirlach - 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: Kirlach
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 70.43
#	Southernmost_Latitude: 70.43
#	Easternmost_Longitude: 143.93
#	Westernmost_Longitude: 143.93
#	Elevation: 80 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ187B
#	Earliest_Year: 1493
#	Most_Recent_Year: 1994
#	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":"6.55138472019","T2":"18.4701813311","M1":"0.0220118067801","M2":"0.259163121513"}}
#--------------------
# Species
#	Species_Name: Dahurian larch
#	Species_Code: LAGM
#--------------------
# 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
1493	0.716
1494	0.635
1495	0.595
1496	0.79
1497	0.88
1498	1.167
1499	1.042
1500	1.29
1501	1.208
1502	0.901
1503	0.883
1504	0.637
1505	1.189
1506	1.034
1507	0.877
1508	1.115
1509	1.333
1510	1.031
1511	0.845
1512	0.921
1513	1.047
1514	0.881
1515	0.614
1516	0.492
1517	0.743
1518	0.922
1519	0.926
1520	0.956
1521	0.472
1522	0.835
1523	0.709
1524	0.999
1525	1.004
1526	1.132
1527	1.275
1528	0.731
1529	0.735
1530	0.941
1531	0.91
1532	1.121
1533	1.41
1534	1.036
1535	1.137
1536	1.145
1537	0.899
1538	1.062
1539	1.049
1540	1.019
1541	0.742
1542	0.433
1543	0.483
1544	1.067
1545	0.747
1546	0.767
1547	1.12
1548	0.872
1549	1.214
1550	1.959
1551	1.062
1552	1.572
1553	0.915
1554	0.854
1555	1.004
1556	0.619
1557	0.341
1558	1.164
1559	0.705
1560	0.848
1561	1.059
1562	0.918
1563	1.365
1564	0.79
1565	0.846
1566	0.586
1567	0.797
1568	1.525
1569	1.346
1570	1.229
1571	1.557
1572	0.281
1573	1.053
1574	0.718
1575	1.369
1576	0.54
1577	0.743
1578	0.547
1579	1.129
1580	0.27
1581	1.064
1582	0.817
1583	0.5
1584	1.078
1585	0.375
1586	1.152
1587	0.761
1588	1.086
1589	0.703
1590	1.274
1591	1.324
1592	1.135
1593	1.352
1594	1.262
1595	1.793
1596	1.536
1597	0.807
1598	1.338
1599	0.887
1600	1.064
1601	0.604
1602	0.744
1603	0.925
1604	0.86
1605	0.335
1606	1.058
1607	0.82
1608	0.891
1609	0.529
1610	0.862
1611	0.496
1612	0.981
1613	1.234
1614	0.808
1615	1.414
1616	0.942
1617	0.938
1618	1.234
1619	0.806
1620	0.437
1621	1.23
1622	0.745
1623	1.403
1624	1.9
1625	1.768
1626	1.696
1627	0.941
1628	0.829
1629	1.163
1630	1.633
1631	1.214
1632	0.665
1633	1.082
1634	0.622
1635	0.523
1636	0.378
1637	0.563
1638	1.025
1639	0.671
1640	0.81
1641	0.65
1642	0.231
1643	0.224
1644	0.873
1645	0.313
1646	0.806
1647	0.697
1648	0.698
1649	1.047
1650	0.856
1651	0.718
1652	1.043
1653	1.227
1654	1.334
1655	1.408
1656	0.829
1657	1.58
1658	1.299
1659	1.4
1660	1.348
1661	0.54
1662	0.943
1663	1.266
1664	1.997
1665	1.122
1666	1.046
1667	1.306
1668	1.037
1669	1.051
1670	1.298
1671	0.774
1672	1.382
1673	1.142
1674	1.234
1675	0.429
1676	1.017
1677	1.272
1678	0.77
1679	0.748
1680	-0.022
1681	0.702
1682	1.03
1683	0.942
1684	0.706
1685	0.711
1686	0.879
1687	0.657
1688	0.853
1689	1.192
1690	0.38
1691	1.101
1692	0.719
1693	1.6
1694	1.298
1695	0.093
1696	0.508
1697	1.564
1698	0.314
1699	1.155
1700	0.931
1701	1.603
1702	1.453
1703	1.682
1704	1.676
1705	1.17
1706	1.151
1707	1.324
1708	1.111
1709	0.795
1710	1.171
1711	0.532
1712	1.001
1713	1.091
1714	0.918
1715	1.079
1716	1.387
1717	0.816
1718	1.006
1719	1.321
1720	1.317
1721	1.176
1722	1.352
1723	1.566
1724	0.736
1725	0.692
1726	1.329
1727	1.417
1728	1.385
1729	0.881
1730	0.37
1731	0.986
1732	1.398
1733	1.045
1734	0.955
1735	0.772
1736	1.149
1737	0.755
1738	0.864
1739	1.206
1740	0.365
1741	0.572
1742	0.792
1743	0.72
1744	0.508
1745	1.035
1746	0.77
1747	0.856
1748	0.807
1749	1.149
1750	1.277
1751	0.812
1752	1.14
1753	0.67
1754	0.589
1755	1.71
1756	1.045
1757	1.765
1758	1.186
1759	1.177
1760	0.967
1761	0.748
1762	0.195
1763	1.444
1764	0.866
1765	1.024
1766	1.107
1767	0.821
1768	0.647
1769	0.444
1770	0.425
1771	0.992
1772	0.589
1773	0.901
1774	1.084
1775	0.911
1776	0.71
1777	1.006
1778	1.118
1779	0.554
1780	0.534
1781	1.267
1782	1.284
1783	1.176
1784	1.226
1785	1.281
1786	0.87
1787	1.055
1788	0.897
1789	1.336
1790	0.857
1791	0.899
1792	1.058
1793	0.898
1794	0.416
1795	0.868
1796	0.612
1797	0.872
1798	0.935
1799	0.775
1800	0.666
1801	0.191
1802	1.05
1803	0.654
1804	0.5
1805	0.84
1806	0.638
1807	0.791
1808	1.028
1809	0.797
1810	1.105
1811	1.232
1812	0.795
1813	0.553
1814	0.713
1815	0.515
1816	0.961
1817	0.225
1818	0.164
1819	1.258
1820	1.039
1821	0.886
1822	0.325
1823	0.493
1824	0.896
1825	0.826
1826	1.316
1827	0.395
1828	1.037
1829	0.809
1830	0.744
1831	1.163
1832	1.017
1833	1.588
1834	1.302
1835	1.685
1836	1.655
1837	0.262
1838	1.281
1839	1.29
1840	1.216
1841	0.44
1842	0.984
1843	1.223
1844	0.961
1845	1.384
1846	1.265
1847	0.996
1848	0.506
1849	0.495
1850	1.02
1851	0.74
1852	0.889
1853	0.82
1854	1.039
1855	1.376
1856	0.887
1857	0.287
1858	1.415
1859	0.535
1860	1.177
1861	1.325
1862	0.834
1863	0.323
1864	0.634
1865	1.079
1866	1.14
1867	1.322
1868	1.229
1869	1.32
1870	1.908
1871	1.236
1872	1.256
1873	1.303
1874	1.256
1875	0.595
1876	1.388
1877	0.878
1878	1.309
1879	1.104
1880	1.052
1881	1.158
1882	1.183
1883	1.359
1884	0.929
1885	1.122
1886	0.676
1887	0.427
1888	1.054
1889	1.039
1890	1.306
1891	1.098
1892	0.604
1893	0.693
1894	0.881
1895	1.177
1896	0.768
1897	1.137
1898	1.22
1899	0.933
1900	0.839
1901	1.425
1902	1.642
1903	1.324
1904	0.759
1905	0.748
1906	0.955
1907	1.049
1908	0.653
1909	0.826
1910	0.752
1911	0.974
1912	1.586
1913	1.314
1914	1.857
1915	0.534
1916	0.776
1917	1.109
1918	0.532
1919	0.67
1920	0.96
1921	0.851
1922	1.214
1923	0.695
1924	1.148
1925	1.259
1926	0.781
1927	0.844
1928	0.866
1929	0.768
1930	1.453
1931	0.905
1932	0.854
1933	1.671
1934	0.969
1935	0.747
1936	1.114
1937	0.581
1938	1.362
1939	1.207
1940	1.681
1941	0.647
1942	1.196
1943	1.015
1944	1.266
1945	0.473
1946	0.946
1947	1.22
1948	1.167
1949	0.723
1950	0.902
1951	1.163
1952	0.99
1953	0.749
1954	0.86
1955	1.088
1956	1.438
1957	0.616
1958	0.869
1959	0.734
1960	1.326
1961	1.426
1962	0.492
1963	0.708
1964	1.17
1965	0.931
1966	1.065
1967	1.061
1968	1.124
1969	1.158
1970	1.129
1971	0.78
1972	0.555
1973	1.131
1974	1.52
1975	0.978
1976	1.143
1977	1.083
1978	0.429
1979	0.47
1980	0.728
1981	0.739
1982	0.813
1983	0.917
1984	0.431
1985	1.112
1986	1.292
1987	0.904
1988	0.957
1989	0.865
1990	0.761
1991	0.733
1992	0.248
1993	1.284
1994	1.074