# europe_finl021 - KarhunpesÃÂ¤kivi Inari - 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/3991
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_finl021 - KarhunpesÃÂ¤kivi Inari - 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: KarhunpesÃÂ¤kivi Inari
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 68.83
#	Southernmost_Latitude: 68.83
#	Easternmost_Longitude: 27.25
#	Westernmost_Longitude: 27.25
#	Elevation: 200 m
#--------------------
# Data_Collection
#	Collection_Name: europe_finl021B
#	Earliest_Year: 1410
#	Most_Recent_Year: 2001
#	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":"6.87658299727","T2":"20.660623769","M1":"0.0218088294008","M2":"0.19676490555"}}
#--------------------
# 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
1410	0.992
1411	1.113
1412	0.963
1413	0.99
1414	0.917
1415	0.888
1416	0.759
1417	1.015
1418	1.065
1419	1.092
1420	1.083
1421	0.903
1422	0.791
1423	0.863
1424	1.14
1425	1.06
1426	1.093
1427	1.054
1428	1.049
1429	1.139
1430	1.011
1431	1.142
1432	1.164
1433	1.273
1434	1.604
1435	1.3
1436	1.013
1437	0.911
1438	0.795
1439	1.003
1440	0.905
1441	0.816
1442	1.155
1443	1.038
1444	1.026
1445	1.27
1446	1.132
1447	1.044
1448	0.948
1449	0.918
1450	1.05
1451	0.924
1452	0.965
1453	0.885
1454	0.745
1455	0.962
1456	0.71
1457	0.415
1458	0.45
1459	0.463
1460	0.376
1461	0.483
1462	0.585
1463	0.503
1464	0.622
1465	0.556
1466	0.61
1467	0.689
1468	0.767
1469	0.869
1470	0.95
1471	1.118
1472	0.891
1473	0.88
1474	1.169
1475	1.18
1476	1.212
1477	1.177
1478	1.31
1479	1.44
1480	1.475
1481	1.282
1482	1.138
1483	1.048
1484	1.02
1485	1.199
1486	0.873
1487	0.892
1488	1.151
1489	1.321
1490	1.239
1491	1.241
1492	1.322
1493	1.267
1494	1.397
1495	1.103
1496	1.282
1497	1.292
1498	1.309
1499	1.2
1500	1.473
1501	1.324
1502	1.323
1503	1.008
1504	1.247
1505	1.125
1506	0.809
1507	0.808
1508	0.769
1509	0.875
1510	0.711
1511	0.945
1512	1.086
1513	0.928
1514	0.772
1515	0.897
1516	0.607
1517	0.792
1518	0.867
1519	0.747
1520	0.938
1521	0.97
1522	0.861
1523	0.98
1524	0.792
1525	0.838
1526	1.23
1527	0.932
1528	1.045
1529	0.906
1530	1.08
1531	0.974
1532	1.076
1533	1.12
1534	1.177
1535	1.204
1536	1.102
1537	1.038
1538	1.137
1539	1.246
1540	1.368
1541	1.255
1542	1.142
1543	1.048
1544	1.038
1545	0.986
1546	1.276
1547	1.42
1548	1.511
1549	1.006
1550	1.048
1551	1.179
1552	1.004
1553	1.381
1554	1.094
1555	1.389
1556	1.155
1557	1.005
1558	1.001
1559	1.083
1560	1.265
1561	1.052
1562	1.255
1563	1.053
1564	1.143
1565	0.99
1566	1.104
1567	1.064
1568	1.198
1569	1.123
1570	1.106
1571	0.941
1572	1.009
1573	1.055
1574	0.709
1575	1.229
1576	1.105
1577	1.101
1578	0.906
1579	1.108
1580	0.836
1581	0.972
1582	1.03
1583	1.089
1584	0.936
1585	1.184
1586	1.247
1587	0.94
1588	0.818
1589	0.892
1590	0.803
1591	0.865
1592	0.993
1593	0.701
1594	1.087
1595	0.857
1596	0.779
1597	0.915
1598	0.868
1599	1.1
1600	0.986
1601	0.295
1602	0.754
1603	0.857
1604	0.678
1605	0.439
1606	0.543
1607	0.107
1608	0.242
1609	0.318
1610	0.442
1611	0.645
1612	0.616
1613	0.573
1614	0.509
1615	0.37
1616	0.4
1617	0.558
1618	0.535
1619	0.537
1620	0.456
1621	0.811
1622	0.653
1623	0.753
1624	0.793
1625	0.795
1626	1.057
1627	0.784
1628	0.86
1629	0.952
1630	0.685
1631	0.779
1632	0.931
1633	0.714
1634	0.969
1635	0.868
1636	0.962
1637	1.239
1638	1.068
1639	1.152
1640	1.38
1641	0.81
1642	0.832
1643	0.971
1644	0.79
1645	0.894
1646	1.149
1647	1.136
1648	1.316
1649	1.181
1650	0.9
1651	1.066
1652	1.144
1653	1.31
1654	1.165
1655	1.419
1656	1.194
1657	1.315
1658	1.56
1659	1.175
1660	1.333
1661	1.046
1662	1.198
1663	1.252
1664	1.52
1665	1.67
1666	1.204
1667	0.867
1668	1.227
1669	1.03
1670	0.994
1671	1.262
1672	0.937
1673	1.085
1674	1.011
1675	0.699
1676	0.76
1677	0.806
1678	0.814
1679	0.891
1680	0.378
1681	0.733
1682	0.884
1683	0.776
1684	0.963
1685	1.007
1686	1.095
1687	0.937
1688	0.897
1689	1.241
1690	1.1
1691	1.142
1692	1.243
1693	1.409
1694	1.494
1695	0.922
1696	0.656
1697	0.765
1698	0.845
1699	0.756
1700	0.837
1701	0.758
1702	0.855
1703	0.919
1704	1.079
1705	0.858
1706	0.964
1707	1.233
1708	1.026
1709	0.566
1710	1.035
1711	1.042
1712	1.117
1713	0.893
1714	1.031
1715	1.146
1716	0.968
1717	0.968
1718	1.101
1719	0.743
1720	0.888
1721	0.87
1722	0.887
1723	0.778
1724	0.943
1725	1.21
1726	1.151
1727	1.334
1728	1.015
1729	1.405
1730	1.439
1731	1.154
1732	1.138
1733	1.078
1734	0.649
1735	0.844
1736	1.161
1737	0.935
1738	1.282
1739	1.329
1740	1.062
1741	0.924
1742	1.08
1743	0.993
1744	1.137
1745	0.963
1746	1.207
1747	0.938
1748	1.029
1749	1.068
1750	1.201
1751	1.087
1752	1.267
1753	1.122
1754	1.311
1755	1.389
1756	1.368
1757	1.426
1758	1.167
1759	1.227
1760	1.29
1761	1.23
1762	1.185
1763	1.121
1764	0.977
1765	1.179
1766	1.11
1767	0.876
1768	0.977
1769	0.673
1770	0.691
1771	0.737
1772	0.784
1773	0.813
1774	0.986
1775	0.934
1776	0.851
1777	0.977
1778	0.953
1779	0.795
1780	0.969
1781	0.782
1782	0.833
1783	0.758
1784	0.769
1785	1.01
1786	0.717
1787	0.788
1788	0.968
1789	0.902
1790	0.624
1791	0.662
1792	0.77
1793	0.605
1794	0.632
1795	0.67
1796	0.767
1797	0.871
1798	0.878
1799	1.235
1800	1.007
1801	0.997
1802	1.073
1803	0.985
1804	1.191
1805	1.192
1806	0.479
1807	0.832
1808	0.879
1809	0.988
1810	0.912
1811	0.777
1812	0.649
1813	0.567
1814	0.626
1815	0.625
1816	0.666
1817	0.748
1818	0.959
1819	0.927
1820	0.698
1821	0.697
1822	0.74
1823	1.209
1824	1.101
1825	0.913
1826	1.802
1827	1.603
1828	1.21
1829	1.573
1830	1.414
1831	1.458
1832	1.397
1833	1.144
1834	1.249
1835	0.952
1836	1.011
1837	0.367
1838	0.823
1839	0.603
1840	0.881
1841	0.74
1842	0.547
1843	0.773
1844	0.793
1845	1.033
1846	0.874
1847	0.881
1848	0.821
1849	1.024
1850	0.951
1851	1.175
1852	1.309
1853	1.242
1854	1.491
1855	1.309
1856	1.161
1857	1.025
1858	1.097
1859	0.959
1860	0.96
1861	1.016
1862	0.819
1863	0.806
1864	1.036
1865	1.048
1866	0.816
1867	0.761
1868	0.824
1869	0.997
1870	0.951
1871	0.761
1872	0.789
1873	1
1874	0.736
1875	0.724
1876	0.984
1877	1.087
1878	0.907
1879	0.716
1880	0.655
1881	0.594
1882	0.991
1883	1.027
1884	0.977
1885	1.084
1886	1.274
1887	1.098
1888	0.799
1889	1.055
1890	1.299
1891	1.122
1892	0.792
1893	0.746
1894	0.931
1895	0.949
1896	0.924
1897	0.818
1898	1.343
1899	1.071
1900	0.668
1901	1.07
1902	0.824
1903	0.518
1904	0.633
1905	0.709
1906	0.793
1907	0.676
1908	0.911
1909	0.731
1910	0.481
1911	0.547
1912	0.935
1913	0.843
1914	1.132
1915	1.271
1916	1.17
1917	1.085
1918	1.168
1919	1.106
1920	1.208
1921	1.389
1922	1.651
1923	1.644
1924	1.469
1925	1.626
1926	1.196
1927	1.459
1928	0.943
1929	0.747
1930	1.491
1931	1.383
1932	1.287
1933	1.302
1934	1.691
1935	1.389
1936	1.177
1937	1.703
1938	1.312
1939	1.167
1940	0.956
1941	1.326
1942	1.103
1943	1.109
1944	1.005
1945	1.027
1946	0.783
1947	0.801
1948	0.742
1949	0.816
1950	0.906
1951	0.818
1952	0.677
1953	0.942
1954	1.041
1955	0.867
1956	0.866
1957	1.09
1958	0.927
1959	1.049
1960	1.247
1961	0.739
1962	0.764
1963	0.61
1964	1.108
1965	0.663
1966	0.747
1967	0.981
1968	0.797
1969	0.749
1970	0.888
1971	0.782
1972	1.046
1973	1.138
1974	0.679
1975	0.697
1976	0.719
1977	0.722
1978	0.714
1979	1.073
1980	0.934
1981	0.879
1982	0.941
1983	1.026
1984	0.878
1985	1.097
1986	0.937
1987	0.911
1988	1.043
1989	1.149
1990	1.079
1991	1.06
1992	1.02
1993	1.276
1994	1.147
1995	0.995
1996	1.126
1997	1.253
1998	1.211
1999	1.2
2000	1.463
2001	1.038