ÃÂ¯ÃÂ»ÃÂ¿# asia_russ132w - Andryuschkine - Breitenmoser Tree Ring Chronology Data
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#		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/4310
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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_russ132w - Andryuschkine - 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: Andryuschkine
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 69.28
#	Southernmost_Latitude: 69.28
#	Easternmost_Longitude: 154.77
#	Westernmost_Longitude: 154.77
#	Elevation: 50 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ132wB
#	Earliest_Year: 1449
#	Most_Recent_Year: 1991
#	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":"7.38627263177","T2":"18.5016204526","M1":"0.0212966150647","M2":"0.29114527773"}}
#--------------------
# 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
1449	1.172
1450	1.262
1451	1.122
1452	0.719
1453	1.042
1454	0.957
1455	0.99
1456	0.638
1457	0.966
1458	0.91
1459	0.703
1460	0.735
1461	0.646
1462	0.709
1463	0.528
1464	0.651
1465	1.112
1466	0.654
1467	0.687
1468	0.595
1469	0.597
1470	0.91
1471	0.976
1472	0.853
1473	0.886
1474	1.238
1475	0.541
1476	0.414
1477	0.575
1478	0.77
1479	0.675
1480	0.774
1481	0.515
1482	0.483
1483	0.32
1484	0.748
1485	0.75
1486	0.685
1487	0.787
1488	0.488
1489	0.489
1490	0.86
1491	0.862
1492	0.83
1493	1.07
1494	0.868
1495	0.939
1496	0.632
1497	0.702
1498	0.496
1499	1.017
1500	1.472
1501	1.057
1502	1.235
1503	1.238
1504	1.17
1505	1.704
1506	1.283
1507	1.144
1508	1.974
1509	1.675
1510	1.033
1511	0.686
1512	0.682
1513	1
1514	1.229
1515	1.266
1516	1.272
1517	0.952
1518	1.34
1519	1.185
1520	0.922
1521	0.472
1522	1.194
1523	0.992
1524	0.95
1525	1.61
1526	1.419
1527	1.8
1528	0.959
1529	0.751
1530	1.022
1531	0.884
1532	1.327
1533	1.63
1534	0.629
1535	1.586
1536	1.313
1537	0.744
1538	0.69
1539	0.862
1540	1.248
1541	0.519
1542	0.652
1543	0.476
1544	0.969
1545	0.991
1546	0.771
1547	1.392
1548	1.22
1549	1.049
1550	1.678
1551	1.423
1552	1.717
1553	1.271
1554	0.62
1555	1.253
1556	0.799
1557	0.199
1558	1.185
1559	0.973
1560	0.786
1561	0.926
1562	0.898
1563	1.151
1564	0.832
1565	1.184
1566	0.873
1567	0.527
1568	1.381
1569	0.959
1570	0.362
1571	0.909
1572	0.314
1573	1.159
1574	0.83
1575	1.467
1576	0.467
1577	0.839
1578	1.087
1579	1.304
1580	0.182
1581	0.811
1582	0.995
1583	1.11
1584	0.906
1585	0.691
1586	0.925
1587	0.816
1588	0.935
1589	0.567
1590	0.722
1591	0.97
1592	0.903
1593	0.898
1594	0.916
1595	1.309
1596	0.308
1597	0.219
1598	0.865
1599	0.931
1600	1.362
1601	0.994
1602	0.536
1603	1.425
1604	1.37
1605	0.517
1606	1.158
1607	0.567
1608	0.553
1609	0.447
1610	0.939
1611	0.6
1612	1.064
1613	1.057
1614	0.432
1615	1.062
1616	0.75
1617	0.69
1618	1.058
1619	0.779
1620	1.005
1621	1.217
1622	1.277
1623	1.227
1624	1.234
1625	1.286
1626	0.866
1627	0.27
1628	0.459
1629	1.012
1630	1.566
1631	1.129
1632	0.919
1633	1.097
1634	0.82
1635	0.484
1636	0.717
1637	0.258
1638	0.77
1639	0.538
1640	0.781
1641	0.829
1642	0.261
1643	0.214
1644	1.199
1645	0.554
1646	1.13
1647	1.698
1648	1.498
1649	1.694
1650	1.619
1651	1.562
1652	1.033
1653	1.577
1654	0.902
1655	1.77
1656	1.573
1657	1.297
1658	1.88
1659	1.696
1660	1.818
1661	0.964
1662	0.765
1663	1.066
1664	1.291
1665	1.002
1666	1.367
1667	1.15
1668	0.905
1669	1.196
1670	2.139
1671	1.467
1672	1.538
1673	1.51
1674	2.035
1675	0.587
1676	0.699
1677	1.697
1678	1.189
1679	0.726
1680	0.504
1681	1.302
1682	1.464
1683	1.266
1684	1.342
1685	1.466
1686	0.676
1687	0.659
1688	1.066
1689	1.38
1690	1.03
1691	1.845
1692	0.895
1693	2.354
1694	1.272
1695	0.116
1696	0.375
1697	1.174
1698	0.496
1699	0.933
1700	0.761
1701	0.952
1702	0.85
1703	1.046
1704	1.127
1705	0.933
1706	0.742
1707	1.176
1708	0.826
1709	0.389
1710	0.569
1711	0.505
1712	0.833
1713	0.673
1714	1.088
1715	0.381
1716	1.376
1717	0.583
1718	0.861
1719	0.882
1720	1.215
1721	0.903
1722	0.862
1723	1.515
1724	0.461
1725	0.853
1726	0.869
1727	1.248
1728	1.004
1729	0.569
1730	0.256
1731	0.828
1732	1.286
1733	0.65
1734	0.602
1735	0.456
1736	0.883
1737	0.775
1738	0.453
1739	0.765
1740	0.232
1741	0.967
1742	0.634
1743	0.622
1744	0.298
1745	1.092
1746	0.514
1747	0.695
1748	0.817
1749	0.826
1750	0.943
1751	0.882
1752	1.308
1753	0.862
1754	1.035
1755	1.201
1756	0.834
1757	1.791
1758	1.282
1759	1.216
1760	0.821
1761	0.918
1762	0.385
1763	1.211
1764	1.113
1765	0.53
1766	1.039
1767	0.761
1768	0.688
1769	0.315
1770	0.975
1771	0.918
1772	0.788
1773	0.905
1774	0.668
1775	1.044
1776	0.676
1777	0.917
1778	1.145
1779	0.62
1780	0.441
1781	1.261
1782	1.273
1783	1.112
1784	1.178
1785	1.232
1786	0.918
1787	0.824
1788	0.591
1789	1.185
1790	0.541
1791	1.009
1792	1.247
1793	0.988
1794	0.332
1795	0.32
1796	0.722
1797	0.823
1798	1.142
1799	1.274
1800	1.085
1801	0.338
1802	1.089
1803	1.112
1804	1.189
1805	1.66
1806	1.056
1807	0.9
1808	1.311
1809	0.804
1810	0.965
1811	1.298
1812	0.821
1813	0.804
1814	0.583
1815	1.057
1816	1.174
1817	0.668
1818	0.259
1819	1.297
1820	1.124
1821	0.565
1822	0.255
1823	1.126
1824	1.134
1825	1.174
1826	1.265
1827	0.513
1828	1.169
1829	0.982
1830	0.956
1831	0.854
1832	1.104
1833	1.559
1834	0.939
1835	1.328
1836	1.412
1837	0.373
1838	1.04
1839	0.93
1840	1.17
1841	0.481
1842	1.606
1843	1.315
1844	1.234
1845	1.565
1846	1.386
1847	0.968
1848	1.02
1849	0.723
1850	1.17
1851	0.871
1852	0.623
1853	0.963
1854	1.317
1855	1.739
1856	1.398
1857	0.77
1858	2.016
1859	1.185
1860	0.939
1861	1.586
1862	0.755
1863	0.323
1864	0.878
1865	0.781
1866	1.03
1867	0.993
1868	0.775
1869	0.886
1870	1.327
1871	0.941
1872	0.871
1873	1.1
1874	0.628
1875	0.295
1876	0.78
1877	1.008
1878	0.731
1879	0.627
1880	1.032
1881	1.017
1882	0.79
1883	0.799
1884	0.613
1885	0.827
1886	0.535
1887	0.556
1888	0.885
1889	0.842
1890	0.959
1891	1.211
1892	0.36
1893	0.661
1894	0.997
1895	0.917
1896	0.48
1897	1.154
1898	1.169
1899	0.819
1900	0.664
1901	1.074
1902	1.314
1903	0.956
1904	0.827
1905	0.578
1906	0.867
1907	0.778
1908	1.117
1909	0.865
1910	0.78
1911	1.407
1912	1.343
1913	0.887
1914	1.416
1915	0.306
1916	0.949
1917	1.091
1918	0.818
1919	0.807
1920	0.998
1921	0.579
1922	1.02
1923	0.996
1924	0.812
1925	1.405
1926	1.031
1927	0.939
1928	1.008
1929	0.497
1930	1.222
1931	0.928
1932	0.944
1933	1.143
1934	0.775
1935	1.353
1936	1.456
1937	0.978
1938	1.025
1939	1.254
1940	1.153
1941	0.899
1942	1.438
1943	1.56
1944	1.598
1945	1.055
1946	0.579
1947	1.102
1948	1.094
1949	0.748
1950	0.776
1951	1.133
1952	1.05
1953	1.404
1954	0.698
1955	0.761
1956	1.749
1957	0.852
1958	1.034
1959	0.537
1960	1.186
1961	1.046
1962	0.631
1963	0.933
1964	1.047
1965	1.112
1966	1.365
1967	1.025
1968	1.218
1969	1.168
1970	1.09
1971	1.059
1972	0.56
1973	1.485
1974	1.481
1975	0.972
1976	1.259
1977	1.377
1978	0.498
1979	0.397
1980	0.895
1981	0.653
1982	0.544
1983	0.769
1984	0.43
1985	1.123
1986	0.832
1987	0.769
1988	0.862
1989	1.112
1990	0.595
1991	0.885