ÃÂ¯ÃÂ»ÃÂ¿# asia_russ048w - Olenjok - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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/4573
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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_russ048w - Olenjok - 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: Olenjok
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 68.6
#	Southernmost_Latitude: 68.6
#	Easternmost_Longitude: 112.25
#	Westernmost_Longitude: 112.25
#	Elevation: 300 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ048wB
#	Earliest_Year: 1450
#	Most_Recent_Year: 1990
#	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":"6.22827050264","T2":"17.5348518414","M1":"0.0214827602928","M2":"0.368899286743"}}
#--------------------
# 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
1450	1.144
1451	1.21
1452	1.202
1453	1.048
1454	1.174
1455	1.167
1456	1.466
1457	1.123
1458	1.664
1459	1.566
1460	1.542
1461	1.403
1462	0.678
1463	1.309
1464	1.158
1465	0.827
1466	0.972
1467	1.346
1468	0.552
1469	1.054
1470	1.141
1471	0.941
1472	0.711
1473	0.684
1474	0.905
1475	0.752
1476	0.868
1477	0.946
1478	0.947
1479	0.367
1480	0.914
1481	0.95
1482	1.171
1483	1.015
1484	1.081
1485	1.032
1486	1.022
1487	1.312
1488	0.959
1489	0.589
1490	0.879
1491	1.032
1492	1.188
1493	0.805
1494	0.841
1495	0.952
1496	1.033
1497	1.048
1498	1.212
1499	0.92
1500	1.098
1501	1.134
1502	0.75
1503	1.079
1504	1.197
1505	1.099
1506	0.569
1507	0.786
1508	0.716
1509	0.658
1510	0.631
1511	0.476
1512	0.877
1513	0.669
1514	0.919
1515	0.464
1516	0.862
1517	0.757
1518	0.838
1519	0.886
1520	0.59
1521	0.881
1522	0.792
1523	0.825
1524	0.682
1525	1.385
1526	1.138
1527	0.749
1528	1.205
1529	0.841
1530	1.093
1531	1.374
1532	1.807
1533	0.646
1534	0.69
1535	0.444
1536	0.491
1537	1.002
1538	1.381
1539	1.241
1540	0.55
1541	0.198
1542	0.585
1543	0.731
1544	0.883
1545	0.241
1546	0.663
1547	0.333
1548	0.841
1549	1.004
1550	1.044
1551	0.785
1552	0.827
1553	0.855
1554	0.868
1555	0.814
1556	0.494
1557	0.628
1558	0.744
1559	0.765
1560	1.126
1561	0.82
1562	1.105
1563	0.852
1564	1.221
1565	1.232
1566	0.774
1567	0.95
1568	0.971
1569	1.393
1570	1.133
1571	1.452
1572	1.319
1573	1.012
1574	1.422
1575	1.296
1576	0.767
1577	1.289
1578	0.564
1579	1.083
1580	1.083
1581	1.183
1582	1.198
1583	1.034
1584	1.441
1585	0.678
1586	0.756
1587	0.902
1588	1.057
1589	0.68
1590	1.377
1591	1.12
1592	0.743
1593	0.76
1594	1.05
1595	1.013
1596	0.704
1597	0.789
1598	1.291
1599	1.464
1600	1.212
1601	0.319
1602	1.086
1603	0.495
1604	0.623
1605	0.986
1606	0.719
1607	0.804
1608	0.88
1609	0.853
1610	1.098
1611	0.818
1612	0.916
1613	1.498
1614	1.06
1615	1.117
1616	0.913
1617	1.125
1618	0.858
1619	0.742
1620	0.773
1621	0.821
1622	0.765
1623	0.933
1624	0.906
1625	0.954
1626	0.966
1627	0.863
1628	0.767
1629	0.86
1630	0.919
1631	0.867
1632	0.447
1633	0.937
1634	0.721
1635	0.868
1636	0.861
1637	1.011
1638	0.732
1639	1.159
1640	1.544
1641	1.14
1642	0.263
1643	1.048
1644	1.298
1645	0.715
1646	0.627
1647	0.66
1648	0.967
1649	0.984
1650	0.512
1651	0.762
1652	1.193
1653	0.816
1654	1.034
1655	1.317
1656	1.145
1657	0.858
1658	1.085
1659	1.133
1660	0.98
1661	0.979
1662	0.982
1663	0.693
1664	1.25
1665	0.888
1666	1.013
1667	1.341
1668	1.028
1669	1.292
1670	1.102
1671	1.09
1672	1.138
1673	1.09
1674	0.677
1675	0.663
1676	0.995
1677	0.882
1678	0.747
1679	1.013
1680	1.204
1681	0.723
1682	1.173
1683	1.468
1684	1.408
1685	1.111
1686	1.08
1687	1.03
1688	0.493
1689	1.258
1690	1.373
1691	1.492
1692	1.041
1693	1.769
1694	1.429
1695	1.206
1696	0.206
1697	0.791
1698	0.568
1699	0.488
1700	0.716
1701	0.572
1702	0.689
1703	0.871
1704	0.869
1705	0.868
1706	0.819
1707	1.805
1708	0.91
1709	1.295
1710	1.06
1711	0.985
1712	1.182
1713	1.156
1714	1.128
1715	1.308
1716	1.199
1717	1.454
1718	1.569
1719	1.615
1720	1.843
1721	1.602
1722	1.63
1723	1.308
1724	1.421
1725	1.14
1726	1.364
1727	1.452
1728	0.359
1729	1.467
1730	1.189
1731	0.69
1732	1.064
1733	1.151
1734	0.875
1735	0.833
1736	0.943
1737	1.137
1738	0.689
1739	0.886
1740	1.064
1741	0.242
1742	0.746
1743	1.362
1744	1.172
1745	1.312
1746	1.122
1747	1.321
1748	1.041
1749	1.299
1750	1.188
1751	1.121
1752	1.587
1753	1.492
1754	0.72
1755	1.07
1756	1.204
1757	1.426
1758	0.617
1759	0.945
1760	0.647
1761	1.354
1762	1.014
1763	1.178
1764	0.841
1765	1.409
1766	1.483
1767	1.137
1768	0.61
1769	0.585
1770	0.758
1771	0.856
1772	0.516
1773	0.759
1774	0.843
1775	1.132
1776	1.011
1777	1.172
1778	0.972
1779	0.591
1780	0.805
1781	0.668
1782	0.944
1783	0.852
1784	1.003
1785	1.053
1786	0.984
1787	0.993
1788	0.385
1789	1.023
1790	0.851
1791	0.352
1792	0.683
1793	0.847
1794	0.988
1795	0.864
1796	0.821
1797	0.66
1798	1.121
1799	0.635
1800	0.141
1801	0.831
1802	0.783
1803	0.897
1804	1.036
1805	0.176
1806	1.173
1807	0.224
1808	0.522
1809	0.604
1810	0.874
1811	0.854
1812	0.556
1813	0.519
1814	0.942
1815	0.989
1816	0.893
1817	0.386
1818	0.794
1819	0.447
1820	1.032
1821	0.643
1822	0.699
1823	0.468
1824	0.661
1825	0.178
1826	1.006
1827	0.98
1828	0.671
1829	1.096
1830	0.227
1831	1.204
1832	0.406
1833	0.246
1834	0.664
1835	0.765
1836	1.027
1837	1.015
1838	0.969
1839	0.688
1840	1.099
1841	0.816
1842	1.244
1843	1.125
1844	0.737
1845	0.997
1846	1.142
1847	1.166
1848	1.139
1849	0.369
1850	1.172
1851	0.737
1852	1.018
1853	0.859
1854	0.792
1855	0.882
1856	0.807
1857	1.204
1858	1.494
1859	0.553
1860	1.713
1861	1.409
1862	1.175
1863	0.842
1864	1.125
1865	1.311
1866	1.777
1867	0.553
1868	1.5
1869	0.741
1870	1.083
1871	0.913
1872	0.926
1873	0.636
1874	1.211
1875	1.437
1876	1.148
1877	1.045
1878	0.736
1879	0.96
1880	0.931
1881	1.065
1882	1.193
1883	0.894
1884	1.171
1885	1.274
1886	0.328
1887	1.033
1888	0.776
1889	0.752
1890	0.879
1891	1.268
1892	1.03
1893	0.561
1894	1.043
1895	1.059
1896	1.306
1897	1.03
1898	0.842
1899	0.86
1900	0.196
1901	1.642
1902	1.135
1903	0.725
1904	0.478
1905	0.341
1906	1.075
1907	0.808
1908	1.174
1909	0.647
1910	0.977
1911	0.475
1912	1.263
1913	0.956
1914	1.048
1915	1.365
1916	0.921
1917	1.14
1918	1.157
1919	1.207
1920	0.816
1921	0.728
1922	0.779
1923	0.99
1924	0.982
1925	0.842
1926	0.906
1927	0.811
1928	1.082
1929	0.634
1930	0.796
1931	0.905
1932	1.046
1933	1.079
1934	1.069
1935	0.722
1936	0.807
1937	0.985
1938	1.265
1939	1.337
1940	1.259
1941	1.399
1942	1.284
1943	1.142
1944	0.647
1945	1.621
1946	1.102
1947	0.702
1948	1.305
1949	1.091
1950	1.322
1951	0.468
1952	1.028
1953	0.719
1954	1.254
1955	1.228
1956	0.834
1957	0.722
1958	0.46
1959	1.338
1960	1.095
1961	1.159
1962	0.956
1963	0.718
1964	1.269
1965	0.48
1966	0.97
1967	1.06
1968	0.853
1969	1.104
1970	1.148
1971	0.948
1972	0.901
1973	0.98
1974	1.054
1975	1.215
1976	0.686
1977	1.143
1978	0.873
1979	1.602
1980	0.923
1981	1.321
1982	1.038
1983	1.343
1984	1.441
1985	1.05
1986	1.293
1987	1.473
1988	1.663
1989	0.289
1990	1.478