ÃÂ¯ÃÂ»ÃÂ¿# asia_russ142w - Tschokurdach, Ochotingna - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4694
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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_russ142w - Tschokurdach, Ochotingna - 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: Tschokurdach, Ochotingna
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 70.28
#	Southernmost_Latitude: 70.28
#	Easternmost_Longitude: 148.05
#	Westernmost_Longitude: 148.05
#	Elevation: 50 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ142wB
#	Earliest_Year: 1434
#	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":"6.49267601737","T2":"20.4962982255","M1":"0.0207445694413","M2":"0.148591345535"}}
#--------------------
# 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
1434	0.808
1435	0.749
1436	0.964
1437	0.874
1438	0.936
1439	1.061
1440	1.217
1441	1.034
1442	1.222
1443	0.944
1444	1.132
1445	1.041
1446	0.949
1447	1.138
1448	1.36
1449	1.488
1450	1.207
1451	1.431
1452	1.053
1453	1.182
1454	0.897
1455	1.441
1456	1.379
1457	0.933
1458	0.646
1459	0.872
1460	0.744
1461	1.197
1462	1.005
1463	1.072
1464	0.553
1465	0.651
1466	0.587
1467	0.457
1468	0.588
1469	0.917
1470	1.018
1471	0.788
1472	0.756
1473	0.393
1474	0.592
1475	0.859
1476	0.76
1477	0.661
1478	0.628
1479	0.696
1480	0.697
1481	0.631
1482	0.8
1483	0.835
1484	0.802
1485	0.837
1486	0.838
1487	0.567
1488	0.67
1489	0.602
1490	0.843
1491	0.878
1492	0.776
1493	0.743
1494	0.847
1495	0.364
1496	0.884
1497	0.712
1498	0.782
1499	0.992
1500	0.924
1501	1.274
1502	0.891
1503	0.997
1504	0.577
1505	1.141
1506	1.213
1507	1.109
1508	1.642
1509	1.893
1510	1.236
1511	0.834
1512	0.753
1513	1.493
1514	1.348
1515	1.229
1516	1.12
1517	1.315
1518	1.855
1519	1.709
1520	1.493
1521	0.81
1522	1.181
1523	0.834
1524	1.161
1525	1.268
1526	0.977
1527	1.479
1528	0.758
1529	0.854
1530	0.718
1531	0.767
1532	1.285
1533	1.525
1534	0.964
1535	1.035
1536	1.296
1537	1.155
1538	1.07
1539	0.981
1540	1.065
1541	0.353
1542	0.408
1543	0.507
1544	1.071
1545	0.805
1546	0.874
1547	1.453
1548	1.408
1549	1.911
1550	2.117
1551	1.572
1552	1.929
1553	1.551
1554	1.114
1555	2.014
1556	1.306
1557	0.331
1558	1.397
1559	0.898
1560	0.794
1561	1.136
1562	0.889
1563	1.311
1564	0.928
1565	1.177
1566	0.865
1567	0.983
1568	1.763
1569	1.286
1570	1.239
1571	1.38
1572	0.215
1573	1.303
1574	1.062
1575	1.791
1576	0.524
1577	0.798
1578	0.813
1579	1.006
1580	0.162
1581	1.031
1582	0.843
1583	0.563
1584	0.815
1585	0.204
1586	0.901
1587	0.751
1588	1.01
1589	0.427
1590	0.962
1591	0.973
1592	1.164
1593	0.974
1594	0.916
1595	1.41
1596	0.856
1597	0.485
1598	1.146
1599	0.901
1600	1.148
1601	0.67
1602	0.898
1603	1.056
1604	1.157
1605	0.328
1606	0.93
1607	0.753
1608	0.679
1609	0.546
1610	0.828
1611	0.848
1612	1.095
1613	1.414
1614	1.019
1615	1.247
1616	0.79
1617	0.638
1618	0.903
1619	0.596
1620	0.473
1621	1.148
1622	0.83
1623	1.273
1624	1.535
1625	1.689
1626	1.841
1627	0.741
1628	0.654
1629	1.287
1630	1.986
1631	1.483
1632	0.865
1633	1.161
1634	0.754
1635	0.692
1636	0.65
1637	0.798
1638	1.182
1639	1.117
1640	1.276
1641	0.92
1642	0.153
1643	0.267
1644	0.793
1645	0.122
1646	0.865
1647	1.063
1648	0.864
1649	0.998
1650	0.814
1651	0.818
1652	0.999
1653	1.301
1654	1.15
1655	1.724
1656	1.005
1657	1.514
1658	1.593
1659	1.595
1660	1.631
1661	0.478
1662	0.907
1663	1.581
1664	1.913
1665	1.032
1666	0.781
1667	1.112
1668	0.835
1669	0.72
1670	1.238
1671	0.316
1672	1.057
1673	1.206
1674	1.289
1675	0.284
1676	0.772
1677	1.139
1678	0.842
1679	0.618
1680	0.617
1681	1.294
1682	0.89
1683	0.643
1684	0.092
1685	0.647
1686	0.815
1687	0.571
1688	0.592
1689	0.929
1690	0.33
1691	0.968
1692	0.577
1693	1.538
1694	1.019
1695	0.113
1696	0.443
1697	1.261
1698	0.179
1699	1.018
1700	0.836
1701	0.962
1702	1.106
1703	1.038
1704	1.173
1705	0.836
1706	0.878
1707	1.216
1708	0.938
1709	0.726
1710	1.111
1711	0.584
1712	0.802
1713	0.964
1714	0.759
1715	0.884
1716	1.495
1717	0.591
1718	0.905
1719	1.09
1720	1.33
1721	1.108
1722	1.269
1723	1.532
1724	0.414
1725	0.493
1726	1.024
1727	1.083
1728	1.547
1729	0.9
1730	0.328
1731	0.903
1732	1.568
1733	1.106
1734	1.231
1735	0.722
1736	1.207
1737	0.67
1738	0.823
1739	1.273
1740	0.588
1741	0.688
1742	0.876
1743	0.776
1744	0.417
1745	1.296
1746	0.778
1747	0.777
1748	1.065
1749	1.369
1750	1.474
1751	0.97
1752	1.4
1753	0.722
1754	0.982
1755	1.808
1756	1.39
1757	1.994
1758	1.579
1759	1.228
1760	1.108
1761	0.905
1762	0.22
1763	1.387
1764	0.95
1765	1.052
1766	1.054
1767	0.87
1768	0.708
1769	0.554
1770	0.732
1771	1.22
1772	0.833
1773	1.234
1774	1.195
1775	1.181
1776	0.776
1777	1.142
1778	1.484
1779	0.587
1780	0.583
1781	1.378
1782	1.512
1783	1.203
1784	1.229
1785	1.338
1786	1.024
1787	0.75
1788	0.834
1789	1.507
1790	0.919
1791	1.069
1792	1.06
1793	0.595
1794	0.324
1795	0.629
1796	0.581
1797	0.615
1798	0.926
1799	0.878
1800	0.698
1801	0.144
1802	0.836
1803	0.66
1804	0.428
1805	0.997
1806	0.668
1807	0.934
1808	1.282
1809	1.204
1810	1.14
1811	1.213
1812	0.771
1813	0.627
1814	0.504
1815	0.641
1816	1.086
1817	0.505
1818	0.28
1819	1.446
1820	1.261
1821	1.184
1822	0.428
1823	0.869
1824	0.997
1825	1.009
1826	1.078
1827	0.313
1828	0.858
1829	0.8
1830	0.849
1831	0.824
1832	0.916
1833	1.268
1834	0.932
1835	1.235
1836	1.272
1837	0.06
1838	0.908
1839	0.862
1840	0.815
1841	0.17
1842	0.733
1843	0.787
1844	0.906
1845	1.373
1846	1.156
1847	0.961
1848	0.437
1849	0.465
1850	0.856
1851	0.656
1852	0.725
1853	0.902
1854	1.087
1855	1.447
1856	0.958
1857	0.714
1858	1.537
1859	0.959
1860	1.177
1861	1.664
1862	0.948
1863	0.49
1864	0.58
1865	0.987
1866	1.331
1867	1.321
1868	1.133
1869	1.255
1870	1.623
1871	1.219
1872	1.248
1873	1.186
1874	0.907
1875	0.625
1876	1.291
1877	1.131
1878	1.301
1879	1.065
1880	1.352
1881	1.014
1882	0.95
1883	1.237
1884	0.981
1885	1.141
1886	0.776
1887	0.581
1888	1.059
1889	1.078
1890	1.26
1891	1.177
1892	0.367
1893	0.728
1894	1.024
1895	0.816
1896	0.554
1897	1.137
1898	1.129
1899	0.796
1900	0.871
1901	1.391
1902	1.476
1903	1.212
1904	0.907
1905	0.676
1906	0.912
1907	1.052
1908	0.762
1909	0.776
1910	0.754
1911	1.227
1912	1.368
1913	1.154
1914	1.463
1915	0.406
1916	0.68
1917	0.966
1918	0.474
1919	0.621
1920	0.865
1921	0.626
1922	0.819
1923	0.648
1924	0.719
1925	0.776
1926	0.514
1927	0.593
1928	0.739
1929	0.642
1930	1.075
1931	0.746
1932	0.895
1933	1.401
1934	0.81
1935	1.158
1936	1.087
1937	0.561
1938	1.171
1939	1.164
1940	1.497
1941	0.646
1942	1.197
1943	1.198
1944	1.398
1945	0.59
1946	1.014
1947	1.406
1948	1.393
1949	1.183
1950	1.159
1951	1.543
1952	1.509
1953	1.258
1954	0.976
1955	1.24
1956	1.666
1957	0.738
1958	1.05
1959	0.872
1960	1.566
1961	1.317
1962	0.479
1963	0.929
1964	1.004
1965	1.059
1966	0.99
1967	0.919
1968	1.083
1969	1.069
1970	1.04
1971	1.128
1972	0.556
1973	1.407
1974	1.654
1975	1.124
1976	1.239
1977	1.377
1978	0.564
1979	0.429
1980	1.032
1981	0.743
1982	0.814
1983	1.075
1984	0.375
1985	1.089
1986	1.046
1987	0.87
1988	0.859
1989	0.93
1990	0.991