ÃÂ¯ÃÂ»ÃÂ¿# asia_russ070w - Seimchan-river - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4633
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: asia_russ070w - Seimchan-river - 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: Seimchan-river
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 63.52
#	Southernmost_Latitude: 63.52
#	Easternmost_Longitude: 151.72
#	Westernmost_Longitude: 151.72
#	Elevation: 450 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ070wB
#	Earliest_Year: 1362
#	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":"6.06456493517","T2":"18.0631315298","M1":"0.0217023817372","M2":"0.31319700584"}}
#--------------------
# Species
#	Species_Name: Dahurian larch
#	Species_Code: LAGM
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1362	1.178
1363	0.952
1364	0.984
1365	1.262
1366	1.111
1367	0.882
1368	1.192
1369	1.318
1370	1.352
1371	0.842
1372	0.906
1373	1.204
1374	1.222
1375	1.146
1376	1.022
1377	1.166
1378	1.721
1379	1.914
1380	1.442
1381	1.159
1382	0.795
1383	1.068
1384	1.086
1385	0.51
1386	0.51
1387	0.818
1388	0.399
1389	0.515
1390	0.793
1391	0.66
1392	0.887
1393	0.982
1394	0.861
1395	0.899
1396	1.108
1397	1.146
1398	1.321
1399	1.296
1400	0.55
1401	1.061
1402	1.378
1403	1.511
1404	0.803
1405	0.902
1406	0.996
1407	0.786
1408	0.641
1409	0.24
1410	0.419
1411	0.477
1412	0.451
1413	0.56
1414	0.872
1415	0.556
1416	0.707
1417	0.887
1418	1.265
1419	0.689
1420	0.779
1421	1.049
1422	0.624
1423	0.443
1424	0.561
1425	0.822
1426	0.791
1427	0.58
1428	0.585
1429	0.584
1430	0.436
1431	0.526
1432	0.529
1433	0.739
1434	0.651
1435	0.85
1436	0.224
1437	0.851
1438	1.029
1439	1.228
1440	1.124
1441	1.196
1442	1.321
1443	1.42
1444	0.639
1445	0.662
1446	0.234
1447	0.575
1448	0.713
1449	0.343
1450	1.188
1451	1.572
1452	1.7
1453	0.913
1454	0.889
1455	1.259
1456	1.31
1457	1.039
1458	0.634
1459	0.659
1460	0.824
1461	0.614
1462	0.592
1463	1.276
1464	1.019
1465	1.517
1466	1.284
1467	0.978
1468	0.98
1469	1.101
1470	1.032
1471	0.766
1472	0.766
1473	1.159
1474	0.944
1475	0.728
1476	0.996
1477	1.193
1478	1.098
1479	0.197
1480	0.305
1481	0.427
1482	0.701
1483	0.675
1484	0.692
1485	0.746
1486	0.854
1487	0.819
1488	1.419
1489	0.947
1490	1.047
1491	1.077
1492	0.907
1493	0.712
1494	0.898
1495	0.659
1496	0.839
1497	0.993
1498	0.701
1499	0.912
1500	0.956
1501	0.693
1502	0.926
1503	1.308
1504	0.879
1505	0.81
1506	1.065
1507	1.071
1508	1.288
1509	1.322
1510	1.016
1511	1.159
1512	1.365
1513	1.233
1514	1.003
1515	1.195
1516	1.254
1517	1.429
1518	1.428
1519	1.454
1520	1.519
1521	1.008
1522	0.732
1523	1.52
1524	1.787
1525	1.656
1526	1.777
1527	1.801
1528	1.434
1529	1.355
1530	0.796
1531	0.344
1532	0.499
1533	1.091
1534	1.239
1535	1.265
1536	1.374
1537	1.317
1538	1.128
1539	0.902
1540	0.873
1541	0.933
1542	1.139
1543	0.757
1544	0.564
1545	0.544
1546	0.671
1547	1.169
1548	1.133
1549	1.322
1550	1.366
1551	1.384
1552	1.436
1553	1.005
1554	0.421
1555	1.381
1556	1.358
1557	1
1558	1.236
1559	0.564
1560	0.836
1561	1.485
1562	0.957
1563	1.211
1564	1.268
1565	1.251
1566	1.133
1567	1.057
1568	0.986
1569	0.921
1570	0.252
1571	0.801
1572	0.759
1573	0.785
1574	1.053
1575	1.017
1576	0.376
1577	0.817
1578	0.832
1579	0.689
1580	0.593
1581	0.834
1582	0.734
1583	0.467
1584	0.276
1585	0.655
1586	0.615
1587	0.657
1588	0.956
1589	0.851
1590	1.061
1591	1.134
1592	1.322
1593	1.251
1594	1.185
1595	1.098
1596	1.238
1597	1.465
1598	0.829
1599	1.09
1600	1.384
1601	0.723
1602	0.871
1603	0.628
1604	1.122
1605	0.865
1606	0.87
1607	0.322
1608	0.893
1609	0.791
1610	1.033
1611	0.883
1612	1.406
1613	1.258
1614	0.972
1615	0.877
1616	0.944
1617	1.31
1618	1.091
1619	0.729
1620	0.923
1621	0.347
1622	0.947
1623	1.165
1624	1.142
1625	1.154
1626	1.196
1627	0.843
1628	0.813
1629	0.89
1630	0.935
1631	1.213
1632	1.011
1633	0.825
1634	0.951
1635	0.823
1636	0.678
1637	0.345
1638	0.675
1639	0.72
1640	0.871
1641	0.509
1642	0.939
1643	0.796
1644	1.004
1645	0.852
1646	0.569
1647	0.704
1648	0.556
1649	0.816
1650	0.811
1651	0.853
1652	0.601
1653	0.62
1654	0.896
1655	0.933
1656	0.892
1657	0.907
1658	0.724
1659	0.784
1660	0.973
1661	0.89
1662	0.91
1663	0.792
1664	0.819
1665	1.161
1666	0.208
1667	0.887
1668	0.783
1669	0.963
1670	0.808
1671	0.411
1672	0.624
1673	0.57
1674	1.042
1675	0.858
1676	0.487
1677	0.839
1678	0.648
1679	0.295
1680	0.524
1681	0.671
1682	0.988
1683	0.973
1684	1.113
1685	0.71
1686	1.172
1687	1.053
1688	1.179
1689	0.773
1690	1.617
1691	1.802
1692	1.271
1693	1.642
1694	1.292
1695	0.767
1696	0.921
1697	1.117
1698	0.85
1699	1.363
1700	1.444
1701	1.262
1702	1.304
1703	0.87
1704	1.447
1705	1.308
1706	1.265
1707	0.969
1708	1.106
1709	0.942
1710	0.677
1711	0.589
1712	0.886
1713	0.947
1714	0.565
1715	0.728
1716	1.151
1717	1.091
1718	0.944
1719	1.278
1720	1.464
1721	1.154
1722	1.274
1723	1.045
1724	0.493
1725	0.675
1726	0.89
1727	1.006
1728	0.794
1729	0.86
1730	0.578
1731	0.521
1732	0.7
1733	0.695
1734	0.738
1735	0.836
1736	0.677
1737	0.693
1738	0.888
1739	0.933
1740	0.633
1741	1.194
1742	1.097
1743	0.684
1744	0.857
1745	1.254
1746	1.259
1747	0.879
1748	0.702
1749	0.75
1750	0.968
1751	0.865
1752	1.166
1753	1.129
1754	1.069
1755	1.162
1756	0.98
1757	0.889
1758	0.774
1759	0.639
1760	0.974
1761	0.701
1762	0.641
1763	0.948
1764	0.584
1765	0.879
1766	0.984
1767	0.549
1768	0.325
1769	0.603
1770	0.539
1771	0.703
1772	0.409
1773	0.801
1774	0.955
1775	0.865
1776	1.089
1777	0.456
1778	0.946
1779	0.63
1780	0.839
1781	1.293
1782	1.561
1783	1.541
1784	1.209
1785	1.022
1786	0.761
1787	0.727
1788	0.493
1789	1.097
1790	1.091
1791	1.199
1792	1.051
1793	0.849
1794	0.749
1795	0.981
1796	0.383
1797	0.494
1798	0.98
1799	0.739
1800	0.842
1801	0.641
1802	0.929
1803	0.969
1804	0.873
1805	1.099
1806	0.794
1807	0.894
1808	0.788
1809	1.014
1810	0.826
1811	0.773
1812	0.43
1813	0.526
1814	0.549
1815	0.398
1816	0.94
1817	0.415
1818	0.198
1819	1.031
1820	0.866
1821	1.044
1822	0.446
1823	0.809
1824	1.11
1825	1.348
1826	1.474
1827	1.277
1828	1.424
1829	1.753
1830	1.531
1831	1.164
1832	1.175
1833	1.607
1834	1.457
1835	1.619
1836	1.423
1837	0.663
1838	0.725
1839	0.736
1840	0.834
1841	0.49
1842	0.354
1843	0.799
1844	1.275
1845	1.035
1846	1.611
1847	1.857
1848	1.165
1849	1.338
1850	1.263
1851	1.595
1852	1.204
1853	1.61
1854	1.602
1855	1.187
1856	1.027
1857	0.993
1858	1.137
1859	1.167
1860	1.074
1861	1.169
1862	0.839
1863	0.594
1864	0.676
1865	0.971
1866	1.049
1867	1.191
1868	1.208
1869	0.891
1870	1.363
1871	1.607
1872	1.721
1873	1.676
1874	1.731
1875	1.798
1876	1.786
1877	1.577
1878	2.062
1879	1.608
1880	2.289
1881	1.784
1882	1.753
1883	2.604
1884	2.316
1885	1.262
1886	1.583
1887	1.524
1888	1.007
1889	0.812
1890	1.34
1891	1.558
1892	1.449
1893	1.777
1894	1.872
1895	1.322
1896	1.803
1897	1.55
1898	1.836
1899	1.793
1900	1.916
1901	1.663
1902	2.246
1903	2.089
1904	1.841
1905	1.298
1906	1.612
1907	1.202
1908	1.025
1909	0.927
1910	0.902
1911	0.844
1912	1.133
1913	0.972
1914	1.028
1915	0.847
1916	1.016
1917	0.877
1918	0.661
1919	0.984
1920	0.855
1921	1.039
1922	0.602
1923	0.662
1924	0.855
1925	0.67
1926	0.463
1927	0.285
1928	0.7
1929	0.713
1930	0.863
1931	0.915
1932	0.671
1933	0.727
1934	0.618
1935	0.738
1936	0.929
1937	0.815
1938	0.784
1939	0.787
1940	0.65
1941	0.386
1942	0.59
1943	0.713
1944	0.944
1945	0.749
1946	0.803
1947	0.44
1948	0.993
1949	0.498
1950	0.804
1951	0.793
1952	0.716
1953	0.633
1954	0.693
1955	0.697
1956	0.607
1957	0.634
1958	0.624
1959	0.453
1960	0.552
1961	0.164
1962	0.702
1963	0.299
1964	0.822
1965	0.543
1966	0.541
1967	0.584
1968	0.534
1969	0.535
1970	0.635
1971	0.742
1972	0.267
1973	0.669
1974	0.666
1975	0.504
1976	0.539
1977	0.68
1978	0.584
1979	0.526
1980	0.644
1981	0.708
1982	0.121
1983	0.908
1984	0.69
1985	0.62
1986	0.601
1987	0.958
1988	0.891
1989	0.884
1990	0.547
1991	0.967