ÃÂ¯ÃÂ»ÃÂ¿# asia_russ134w - Majakit River/village - 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/4518
#
# 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_russ134w - Majakit River/village - 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: Majakit River/village
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 61.28
#	Southernmost_Latitude: 61.28
#	Easternmost_Longitude: 151.95
#	Westernmost_Longitude: 151.95
#	Elevation: 900 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ134wB
#	Earliest_Year: 1338
#	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":"3.66901275682","T2":"16.9605117692","M1":"0.022078404857","M2":"0.410308148169"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014.
#--------------------
# 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
1338	2.225
1339	1.111
1340	1.04
1341	1.591
1342	1.313
1343	1.173
1344	1.858
1345	1.649
1346	1.236
1347	1.303
1348	0.824
1349	0.687
1350	1.161
1351	1.159
1352	1.36
1353	1.628
1354	1.827
1355	1.085
1356	1.016
1357	0.747
1358	0.746
1359	0.479
1360	1.12
1361	0.916
1362	0.664
1363	0.816
1364	0.702
1365	0.475
1366	0.857
1367	1.039
1368	1.042
1369	0.924
1370	0.707
1371	0.443
1372	0.848
1373	0.894
1374	1.313
1375	1.238
1376	1.252
1377	0.952
1378	1.165
1379	0.693
1380	1.503
1381	1.062
1382	1.13
1383	1.347
1384	0.867
1385	0.367
1386	1.566
1387	0.905
1388	1.158
1389	0.754
1390	0.647
1391	1.655
1392	1.042
1393	1.4
1394	0.937
1395	1.26
1396	0.999
1397	0.779
1398	0.57
1399	0.467
1400	1.286
1401	1.209
1402	1.03
1403	0.679
1404	0.822
1405	0.89
1406	0.714
1407	0.57
1408	0.568
1409	1.063
1410	1.022
1411	0.814
1412	1.091
1413	1.548
1414	0.706
1415	0.603
1416	0.847
1417	1.025
1418	0.777
1419	0.707
1420	0.707
1421	0.952
1422	0.706
1423	0.812
1424	0.877
1425	1.016
1426	0.965
1427	1.257
1428	0.905
1429	0.73
1430	0.437
1431	1.438
1432	1.253
1433	1.415
1434	1.484
1435	1.503
1436	1.045
1437	1.119
1438	0.824
1439	0.676
1440	0.69
1441	0.58
1442	1.14
1443	0.855
1444	0.498
1445	0.35
1446	0.511
1447	0.504
1448	0.635
1449	0.478
1450	0.78
1451	0.813
1452	0.699
1453	0.461
1454	0.455
1455	0.703
1456	0.581
1457	0.729
1458	0.498
1459	0.793
1460	0.818
1461	0.368
1462	0.546
1463	0.723
1464	0.752
1465	0.549
1466	0.734
1467	0.588
1468	0.367
1469	0.464
1470	0.675
1471	0.874
1472	0.602
1473	0.694
1474	0.56
1475	0.737
1476	0.973
1477	1.084
1478	0.781
1479	0.548
1480	0.599
1481	0.574
1482	0.22
1483	0.778
1484	0.787
1485	0.9
1486	0.819
1487	0.715
1488	0.543
1489	1.12
1490	0.772
1491	0.407
1492	0.732
1493	0.582
1494	0.665
1495	1.122
1496	0.248
1497	1.04
1498	0.905
1499	1.046
1500	1.087
1501	0.949
1502	1.059
1503	1.465
1504	1.398
1505	0.645
1506	0.935
1507	0.554
1508	1.045
1509	0.997
1510	1.097
1511	0.859
1512	1.125
1513	1.226
1514	0.705
1515	0.947
1516	1.005
1517	0.953
1518	1.162
1519	1.411
1520	1.411
1521	1.358
1522	1.24
1523	1.002
1524	1.23
1525	1.038
1526	1.15
1527	1.05
1528	0.999
1529	0.984
1530	0.792
1531	0.664
1532	0.317
1533	0.231
1534	1.058
1535	0.703
1536	1.02
1537	0.991
1538	0.49
1539	0.509
1540	0.465
1541	0.725
1542	0.696
1543	0.698
1544	0.418
1545	0.39
1546	0.325
1547	0.586
1548	0.7
1549	0.832
1550	0.863
1551	0.94
1552	1.016
1553	0.529
1554	0.762
1555	0.953
1556	0.987
1557	0.941
1558	0.744
1559	0.799
1560	0.834
1561	1.353
1562	0.867
1563	0.934
1564	0.575
1565	1.257
1566	1.061
1567	0.781
1568	1.228
1569	1.213
1570	0.434
1571	0.478
1572	0.99
1573	0.58
1574	1.103
1575	1.102
1576	0.296
1577	0.686
1578	0.897
1579	0.76
1580	0.604
1581	0.896
1582	0.814
1583	0.712
1584	0.538
1585	0.864
1586	0.862
1587	0.812
1588	0.897
1589	0.923
1590	1.093
1591	0.963
1592	0.764
1593	1.107
1594	0.884
1595	0.525
1596	0.821
1597	0.753
1598	0.553
1599	1.206
1600	1.4
1601	0.69
1602	0.468
1603	0.916
1604	1.514
1605	1.071
1606	1.111
1607	0.431
1608	1.283
1609	0.919
1610	0.931
1611	0.65
1612	1.467
1613	1.262
1614	1.033
1615	1.078
1616	1.375
1617	1.839
1618	1.529
1619	1.082
1620	0.886
1621	1.514
1622	1.587
1623	1.688
1624	1.727
1625	1.265
1626	1.717
1627	1.043
1628	1.219
1629	1.595
1630	1.717
1631	2.128
1632	1.593
1633	1.334
1634	1.501
1635	1.206
1636	0.873
1637	1.647
1638	1.808
1639	1.278
1640	1.029
1641	0.378
1642	1.393
1643	1.034
1644	1.387
1645	1.268
1646	0.964
1647	1.059
1648	1.073
1649	1.751
1650	1.304
1651	1.186
1652	1.078
1653	0.635
1654	0.909
1655	1.135
1656	1.15
1657	1.187
1658	1.138
1659	1.222
1660	1.06
1661	1.049
1662	0.677
1663	0.517
1664	1.007
1665	0.702
1666	0.164
1667	1.1
1668	0.612
1669	0.78
1670	0.984
1671	0.599
1672	0.971
1673	0.452
1674	1.43
1675	1.262
1676	0.856
1677	0.834
1678	0.86
1679	0.241
1680	0.832
1681	0.716
1682	1.313
1683	1.146
1684	1.016
1685	0.371
1686	1.191
1687	1.042
1688	1.178
1689	0.504
1690	1.43
1691	1.244
1692	1.026
1693	1.406
1694	1.019
1695	0.667
1696	0.604
1697	1.075
1698	0.627
1699	1.536
1700	1.489
1701	1.191
1702	1.282
1703	1.596
1704	2.133
1705	1.335
1706	1.53
1707	0.566
1708	1.119
1709	0.687
1710	0.669
1711	0.843
1712	1.572
1713	1.489
1714	0.632
1715	0.755
1716	1.332
1717	1.206
1718	0.724
1719	1.003
1720	1.372
1721	0.968
1722	1.091
1723	1.089
1724	0.7
1725	0.626
1726	0.499
1727	1.201
1728	0.53
1729	0.88
1730	0.517
1731	0.425
1732	0.875
1733	0.534
1734	0.749
1735	0.653
1736	0.652
1737	0.57
1738	0.629
1739	1.141
1740	0.221
1741	1.316
1742	1.375
1743	0.3
1744	0.672
1745	0.924
1746	1.463
1747	0.959
1748	0.659
1749	1.065
1750	1.097
1751	0.91
1752	1.47
1753	1.576
1754	1.545
1755	1.553
1756	1.5
1757	1.782
1758	0.675
1759	1.186
1760	1.772
1761	0.875
1762	0.975
1763	1.407
1764	0.797
1765	1.096
1766	1.777
1767	1.037
1768	0.495
1769	1.1
1770	0.952
1771	0.902
1772	0.902
1773	1.179
1774	1.392
1775	1.293
1776	1.295
1777	0.546
1778	1.127
1779	1.015
1780	1.08
1781	1.211
1782	1.464
1783	1.188
1784	0.826
1785	0.814
1786	0.564
1787	0.374
1788	0.96
1789	1.363
1790	1.229
1791	1.171
1792	1.423
1793	0.898
1794	0.832
1795	1.035
1796	0.848
1797	0.163
1798	1.385
1799	0.953
1800	0.761
1801	0.977
1802	1.131
1803	1.166
1804	1.03
1805	1.047
1806	0.974
1807	1.362
1808	0.832
1809	1.193
1810	0.78
1811	0.519
1812	0.363
1813	0.666
1814	0.965
1815	0.428
1816	1.197
1817	0.42
1818	0.194
1819	1.199
1820	0.982
1821	1.177
1822	0.788
1823	0.493
1824	1.058
1825	1.289
1826	1.154
1827	0.781
1828	0.838
1829	1.322
1830	1.136
1831	1.126
1832	0.356
1833	1.391
1834	1.163
1835	0.89
1836	1.195
1837	0.325
1838	0.535
1839	0.795
1840	0.879
1841	0.632
1842	0.365
1843	0.763
1844	1.055
1845	0.898
1846	1.077
1847	1.039
1848	0.396
1849	0.699
1850	0.661
1851	0.688
1852	0.441
1853	1.092
1854	0.892
1855	0.444
1856	0.44
1857	0.221
1858	0.436
1859	0.656
1860	0.55
1861	0.617
1862	0.59
1863	0.153
1864	0.435
1865	0.723
1866	0.725
1867	0.587
1868	0.72
1869	0.667
1870	0.935
1871	1.205
1872	0.951
1873	1.318
1874	0.918
1875	0.954
1876	0.818
1877	0.953
1878	1.186
1879	0.667
1880	1.358
1881	1.223
1882	0.887
1883	1.009
1884	1.256
1885	0.732
1886	1.002
1887	0.679
1888	0.568
1889	0.648
1890	0.898
1891	1.131
1892	0.904
1893	1.039
1894	1.04
1895	0.852
1896	0.96
1897	0.617
1898	1.158
1899	1.139
1900	1.105
1901	0.495
1902	1.256
1903	1.114
1904	0.723
1905	0.765
1906	1.262
1907	0.984
1908	0.87
1909	1.148
1910	0.817
1911	0.968
1912	1.068
1913	1.159
1914	1.441
1915	1.051
1916	1.296
1917	1.06
1918	0.548
1919	0.888
1920	1.094
1921	1.155
1922	0.774
1923	0.997
1924	1.238
1925	1.085
1926	1.181
1927	0.681
1928	1.301
1929	1.294
1930	1.211
1931	1.329
1932	0.87
1933	0.536
1934	0.782
1935	0.817
1936	1.075
1937	0.682
1938	0.736
1939	0.806
1940	0.218
1941	0.276
1942	0.972
1943	0.865
1944	1.195
1945	0.935
1946	1.043
1947	0.477
1948	1.161
1949	0.839
1950	0.953
1951	1.054
1952	1.286
1953	0.894
1954	0.908
1955	0.907
1956	0.86
1957	1.025
1958	1.049
1959	0.966
1960	1.235
1961	1
1962	0.927
1963	0.986
1964	1.738
1965	1.276
1966	1.658
1967	1.068
1968	0.959
1969	0.989
1970	1.018
1971	0.773
1972	0.639
1973	1.21
1974	1.206
1975	1.039
1976	1.038
1977	1.295
1978	0.862
1979	0.41
1980	1.178
1981	1.08
1982	0.231
1983	1.447
1984	0.951
1985	0.708
1986	1.062
1987	1.815
1988	1.708
1989	1.584
1990	0.887
1991	1.077
1992	1.369
1993	1.155
1994	1.2