# asia_russ016 - PÃÂ¤ÃÂ¤jÃÂ¤rvi Pyaozera - 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/4006
#
# 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_russ016 - PÃÂ¤ÃÂ¤jÃÂ¤rvi Pyaozera - 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: PÃÂ¤ÃÂ¤jÃÂ¤rvi Pyaozera
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 66.27
#	Southernmost_Latitude: 66.27
#	Easternmost_Longitude: 30.8
#	Westernmost_Longitude: 30.8
#	Elevation: 150 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ016B
#	Earliest_Year: 1471
#	Most_Recent_Year: 2002
#	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":"4.57766472129","T2":"19.8974875549","M1":"0.0227032891912","M2":"0.2271522672"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# 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
1471	1.227
1472	1.199
1473	1.017
1474	1.127
1475	1.034
1476	1.072
1477	1.046
1478	1.031
1479	1.211
1480	1.023
1481	0.988
1482	1.005
1483	0.923
1484	0.796
1485	0.837
1486	0.418
1487	0.463
1488	0.466
1489	0.5
1490	0.557
1491	0.812
1492	0.919
1493	1.009
1494	1.132
1495	1.093
1496	1.205
1497	1.148
1498	1.333
1499	0.982
1500	1.035
1501	0.846
1502	1.167
1503	1.196
1504	1.353
1505	1.144
1506	1.152
1507	1.094
1508	1.083
1509	1.095
1510	0.873
1511	0.865
1512	0.833
1513	0.805
1514	0.916
1515	1.266
1516	1.164
1517	1.423
1518	1.405
1519	1.025
1520	1.043
1521	1.187
1522	0.998
1523	1.116
1524	1.03
1525	1.225
1526	1.195
1527	0.787
1528	0.781
1529	0.595
1530	0.636
1531	0.66
1532	0.738
1533	0.893
1534	0.991
1535	1.009
1536	0.985
1537	0.938
1538	0.994
1539	1.08
1540	1.016
1541	0.985
1542	0.854
1543	1.047
1544	1.16
1545	1.14
1546	1.19
1547	1.159
1548	1.121
1549	0.853
1550	0.862
1551	0.857
1552	0.737
1553	0.737
1554	0.695
1555	0.813
1556	0.771
1557	0.701
1558	0.849
1559	0.941
1560	1.185
1561	1.261
1562	1.162
1563	1.158
1564	1.023
1565	1.014
1566	1.068
1567	1.081
1568	1.134
1569	1.098
1570	1.036
1571	1.089
1572	1.066
1573	1.07
1574	1.014
1575	1.247
1576	1.184
1577	1.119
1578	0.979
1579	1.033
1580	0.722
1581	0.8
1582	0.984
1583	1.104
1584	1.102
1585	1.268
1586	1.054
1587	0.788
1588	0.826
1589	0.849
1590	0.837
1591	0.865
1592	0.86
1593	0.819
1594	0.94
1595	0.968
1596	0.993
1597	0.939
1598	1.018
1599	1.219
1600	1
1601	0.552
1602	0.915
1603	0.868
1604	0.808
1605	0.716
1606	0.936
1607	0.697
1608	0.808
1609	0.727
1610	0.826
1611	0.875
1612	1.01
1613	0.948
1614	0.984
1615	0.786
1616	0.931
1617	1.177
1618	1.045
1619	1.024
1620	0.739
1621	0.988
1622	0.742
1623	0.926
1624	1.05
1625	0.945
1626	0.877
1627	0.783
1628	0.862
1629	1.075
1630	0.827
1631	0.965
1632	1.142
1633	0.899
1634	1.264
1635	1.051
1636	1.084
1637	1.203
1638	1.286
1639	1.175
1640	1.092
1641	0.738
1642	0.813
1643	0.869
1644	0.671
1645	0.795
1646	0.884
1647	0.988
1648	1.315
1649	1.209
1650	1.023
1651	1.092
1652	1.018
1653	1.027
1654	1.17
1655	1.403
1656	1.224
1657	1.27
1658	1.284
1659	1.147
1660	1.152
1661	0.957
1662	0.975
1663	1.003
1664	1.093
1665	1.123
1666	0.83
1667	0.923
1668	1.049
1669	0.772
1670	0.966
1671	1.158
1672	0.785
1673	0.883
1674	0.81
1675	0.714
1676	0.716
1677	0.664
1678	0.735
1679	0.868
1680	0.611
1681	0.981
1682	1.022
1683	0.936
1684	1.406
1685	1.191
1686	1.34
1687	1.238
1688	1.244
1689	1.461
1690	1.37
1691	1.425
1692	1.343
1693	1.293
1694	1.436
1695	1.045
1696	0.534
1697	0.894
1698	0.968
1699	0.802
1700	0.957
1701	0.975
1702	1.297
1703	1.305
1704	1.456
1705	1.22
1706	1.269
1707	1.48
1708	1.24
1709	0.885
1710	1.152
1711	1.198
1712	1.102
1713	1.009
1714	1.054
1715	1.127
1716	1.052
1717	0.852
1718	0.909
1719	0.528
1720	0.762
1721	0.735
1722	0.715
1723	0.865
1724	0.862
1725	1.065
1726	0.982
1727	1.089
1728	0.946
1729	1.129
1730	1.003
1731	0.805
1732	0.87
1733	0.89
1734	0.639
1735	0.756
1736	0.943
1737	0.842
1738	1.136
1739	1.015
1740	0.9
1741	0.772
1742	0.961
1743	1.045
1744	1.126
1745	0.893
1746	1.051
1747	0.92
1748	0.832
1749	0.662
1750	0.643
1751	0.608
1752	0.852
1753	0.906
1754	1.059
1755	1.118
1756	0.96
1757	1.123
1758	1.044
1759	1.053
1760	1.108
1761	0.908
1762	0.994
1763	0.885
1764	0.879
1765	0.975
1766	1.037
1767	0.982
1768	0.918
1769	0.85
1770	0.869
1771	0.8
1772	0.902
1773	0.834
1774	1.157
1775	1.115
1776	0.855
1777	1.034
1778	1.023
1779	1.004
1780	1.007
1781	0.764
1782	0.831
1783	0.783
1784	0.919
1785	0.95
1786	0.822
1787	0.91
1788	0.95
1789	0.889
1790	0.624
1791	0.961
1792	1.038
1793	1.079
1794	0.862
1795	0.937
1796	1.142
1797	1.098
1798	1.078
1799	1.209
1800	0.818
1801	0.909
1802	0.979
1803	0.906
1804	1.011
1805	0.986
1806	0.549
1807	0.906
1808	0.9
1809	0.885
1810	0.768
1811	0.803
1812	0.834
1813	0.742
1814	0.893
1815	0.866
1816	0.924
1817	1.019
1818	1.1
1819	1.169
1820	0.822
1821	0.816
1822	0.894
1823	0.989
1824	0.922
1825	0.79
1826	1.249
1827	1.213
1828	0.841
1829	1.116
1830	1.001
1831	1.15
1832	1.034
1833	1.108
1834	1.188
1835	0.997
1836	0.948
1837	0.751
1838	0.957
1839	0.877
1840	1.138
1841	0.942
1842	1.054
1843	0.917
1844	0.699
1845	1.021
1846	0.987
1847	0.986
1848	0.867
1849	1.2
1850	1.254
1851	1.274
1852	1.295
1853	1.159
1854	1.323
1855	1.163
1856	0.953
1857	0.827
1858	0.839
1859	0.893
1860	0.889
1861	1.075
1862	0.808
1863	0.77
1864	0.883
1865	0.912
1866	0.847
1867	0.821
1868	1.111
1869	1.05
1870	1.132
1871	1.008
1872	0.938
1873	0.983
1874	0.914
1875	1.106
1876	1.087
1877	1.167
1878	0.975
1879	0.974
1880	0.822
1881	0.746
1882	1.099
1883	0.95
1884	1.012
1885	1.11
1886	1.15
1887	1.092
1888	0.836
1889	1.062
1890	1.307
1891	1.226
1892	0.963
1893	1.104
1894	1.174
1895	0.994
1896	1.105
1897	0.991
1898	1.349
1899	1.127
1900	1.055
1901	1.29
1902	0.985
1903	0.8
1904	1.112
1905	1.159
1906	1.177
1907	1.033
1908	1.008
1909	0.993
1910	0.875
1911	0.984
1912	1.169
1913	1.174
1914	1.23
1915	1.43
1916	1.235
1917	1.124
1918	1.023
1919	1.061
1920	1.216
1921	1.418
1922	1.474
1923	1.487
1924	1.607
1925	1.493
1926	1.04
1927	1.243
1928	0.994
1929	0.992
1930	1.352
1931	1.13
1932	1.086
1933	0.925
1934	1.194
1935	1.042
1936	1.055
1937	1.269
1938	1.087
1939	1.177
1940	1.104
1941	1.243
1942	1.022
1943	1.124
1944	1.224
1945	1.062
1946	0.862
1947	1.035
1948	1.121
1949	1.057
1950	1.132
1951	0.944
1952	0.865
1953	1.047
1954	1.085
1955	0.956
1956	0.875
1957	1.132
1958	0.905
1959	0.895
1960	1.041
1961	0.654
1962	0.639
1963	0.529
1964	0.683
1965	0.488
1966	0.573
1967	0.669
1968	0.663
1969	0.601
1970	0.819
1971	0.68
1972	0.817
1973	0.858
1974	0.724
1975	0.83
1976	0.887
1977	0.726
1978	0.762
1979	0.894
1980	0.773
1981	0.689
1982	0.594
1983	0.797
1984	0.759
1985	0.803
1986	0.733
1987	0.669
1988	0.768
1989	0.721
1990	0.59
1991	0.622
1992	0.552
1993	0.392
1994	0.49
1995	0.734
1996	0.696
1997	0.827
1998	0.978
1999	0.947
2000	1.224
2001	1.171
2002	0.899