ÃÂ¯ÃÂ»ÃÂ¿# europe_norw009 - Stonglandseidet - 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/3743
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_norw009 - Stonglandseidet - 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: Stonglandseidet
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 69.08
#	Southernmost_Latitude: 69.08
#	Easternmost_Longitude: 17.22
#	Westernmost_Longitude: 17.22
#	Elevation: 150 m
#--------------------
# Data_Collection
#	Collection_Name: europe_norw009B
#	Earliest_Year: 1403
#	Most_Recent_Year: 1997
#	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":"4.76720568849","T2":"18.2208154134","M1":"0.0225730728746","M2":"0.380826430036"}}
#--------------------
# 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
1403	1.158
1404	0.948
1405	0.739
1406	0.988
1407	0.707
1408	0.983
1409	0.888
1410	0.868
1411	0.772
1412	1.272
1413	1.454
1414	1.329
1415	1.063
1416	1.198
1417	1.099
1418	1.359
1419	1.263
1420	1.045
1421	0.863
1422	0.823
1423	0.901
1424	1.253
1425	1.034
1426	0.849
1427	0.781
1428	0.877
1429	1.154
1430	0.99
1431	0.988
1432	0.911
1433	0.907
1434	0.94
1435	0.885
1436	0.728
1437	0.911
1438	0.786
1439	0.846
1440	1.202
1441	1.039
1442	1.148
1443	1.498
1444	1.439
1445	1.073
1446	0.722
1447	0.477
1448	0.463
1449	0.535
1450	0.749
1451	0.562
1452	0.755
1453	0.587
1454	1.274
1455	2.056
1456	1.282
1457	0.646
1458	1.009
1459	0.778
1460	0.91
1461	0.824
1462	0.896
1463	0.811
1464	0.956
1465	1.015
1466	0.939
1467	0.771
1468	0.73
1469	0.877
1470	0.958
1471	0.977
1472	0.82
1473	0.93
1474	0.79
1475	0.885
1476	0.991
1477	1.175
1478	1.395
1479	1.15
1480	1.128
1481	1.061
1482	0.945
1483	1.303
1484	1.03
1485	1.168
1486	1.022
1487	1.058
1488	1.543
1489	1.355
1490	0.988
1491	0.859
1492	1.095
1493	1.335
1494	1.198
1495	0.909
1496	1.029
1497	1.182
1498	1.115
1499	0.759
1500	0.814
1501	1.121
1502	1.111
1503	1.025
1504	1.025
1505	0.868
1506	0.876
1507	0.941
1508	1.039
1509	0.851
1510	0.767
1511	0.713
1512	0.977
1513	0.898
1514	0.624
1515	0.845
1516	0.716
1517	0.901
1518	0.798
1519	0.754
1520	0.949
1521	1.01
1522	0.912
1523	0.963
1524	0.645
1525	0.915
1526	0.924
1527	0.926
1528	1.013
1529	0.802
1530	0.92
1531	1.321
1532	1.348
1533	1.278
1534	1.225
1535	1.232
1536	0.928
1537	1.228
1538	1.116
1539	0.989
1540	1.235
1541	1.051
1542	0.904
1543	0.813
1544	0.855
1545	0.958
1546	1.048
1547	0.798
1548	0.819
1549	0.661
1550	0.804
1551	0.905
1552	1.06
1553	1.076
1554	1.039
1555	1.013
1556	0.951
1557	0.921
1558	1.079
1559	1.3
1560	1.293
1561	0.957
1562	1.067
1563	0.835
1564	0.892
1565	1.14
1566	1.164
1567	1.081
1568	0.901
1569	1.027
1570	1.139
1571	0.841
1572	1.08
1573	1.186
1574	0.824
1575	0.841
1576	0.909
1577	0.969
1578	0.851
1579	0.851
1580	0.737
1581	1.027
1582	0.969
1583	1.123
1584	1.132
1585	0.992
1586	0.871
1587	0.939
1588	0.923
1589	0.968
1590	1.002
1591	1.113
1592	0.727
1593	0.778
1594	1.106
1595	1.046
1596	1.027
1597	0.918
1598	1.257
1599	1.245
1600	1.187
1601	0.735
1602	0.896
1603	0.757
1604	0.6
1605	0.64
1606	1.007
1607	0.878
1608	0.974
1609	0.756
1610	0.773
1611	1.129
1612	1.149
1613	1.202
1614	0.942
1615	0.726
1616	0.712
1617	1.001
1618	1.214
1619	0.977
1620	0.879
1621	1.267
1622	1.166
1623	1.09
1624	1.198
1625	1.097
1626	1.46
1627	1.38
1628	1.373
1629	1.281
1630	1.004
1631	1.242
1632	1.198
1633	0.826
1634	0.899
1635	0.697
1636	0.787
1637	0.848
1638	0.629
1639	0.824
1640	0.727
1641	0.46
1642	0.607
1643	0.882
1644	0.799
1645	0.642
1646	0.974
1647	0.914
1648	1.225
1649	1.266
1650	0.994
1651	1.239
1652	0.957
1653	0.777
1654	0.944
1655	1.154
1656	1.009
1657	1.101
1658	1.087
1659	1.248
1660	1.304
1661	1.02
1662	1.157
1663	1.039
1664	0.922
1665	1.082
1666	1.059
1667	1.188
1668	1.445
1669	1.109
1670	1.096
1671	0.967
1672	0.574
1673	0.816
1674	1.005
1675	0.825
1676	0.748
1677	0.874
1678	0.702
1679	0.662
1680	0.334
1681	0.435
1682	0.676
1683	0.688
1684	0.673
1685	0.831
1686	0.489
1687	0.618
1688	0.56
1689	0.893
1690	0.929
1691	0.885
1692	1.109
1693	1.165
1694	1.236
1695	1.1
1696	0.838
1697	0.911
1698	1.223
1699	1.074
1700	1.079
1701	1.103
1702	1.204
1703	1.027
1704	1.213
1705	0.793
1706	0.687
1707	1.153
1708	1.112
1709	0.926
1710	1.225
1711	1.234
1712	1.066
1713	1.295
1714	0.727
1715	0.895
1716	0.879
1717	0.926
1718	1.025
1719	0.733
1720	0.821
1721	0.926
1722	0.974
1723	0.803
1724	0.948
1725	1.111
1726	1.039
1727	0.798
1728	0.695
1729	0.935
1730	0.97
1731	1.025
1732	0.919
1733	0.862
1734	0.572
1735	0.806
1736	1.197
1737	0.835
1738	0.917
1739	1.06
1740	1.005
1741	0.778
1742	1.159
1743	1.01
1744	1.098
1745	1.02
1746	1.081
1747	0.884
1748	1.099
1749	1.039
1750	1.123
1751	0.813
1752	0.93
1753	0.92
1754	1.012
1755	1.218
1756	0.99
1757	1.078
1758	1.239
1759	0.95
1760	0.934
1761	1.091
1762	1.268
1763	0.956
1764	0.917
1765	1.227
1766	1.332
1767	1.209
1768	0.877
1769	0.708
1770	0.73
1771	0.634
1772	0.862
1773	0.94
1774	1.381
1775	1.3
1776	0.963
1777	1.175
1778	1.178
1779	1.025
1780	0.99
1781	0.862
1782	0.836
1783	0.691
1784	0.617
1785	0.904
1786	0.656
1787	0.938
1788	0.804
1789	1.001
1790	0.983
1791	1.041
1792	1.106
1793	1.291
1794	1.397
1795	1.311
1796	1.425
1797	1.213
1798	1.459
1799	1.508
1800	1.119
1801	1.466
1802	1.212
1803	0.9
1804	1.117
1805	1.131
1806	0.655
1807	0.767
1808	0.89
1809	0.819
1810	0.811
1811	0.824
1812	0.607
1813	0.917
1814	0.822
1815	0.761
1816	1.029
1817	1.021
1818	1.138
1819	1.346
1820	1.26
1821	1.08
1822	0.713
1823	1.052
1824	1.202
1825	0.827
1826	1.281
1827	1.3
1828	1.407
1829	1.254
1830	0.971
1831	1.291
1832	1.361
1833	1.124
1834	1.019
1835	0.866
1836	1.078
1837	0.632
1838	0.94
1839	0.789
1840	0.92
1841	0.921
1842	1.028
1843	1.059
1844	1.012
1845	1.145
1846	1.243
1847	1.159
1848	0.945
1849	1.089
1850	0.853
1851	1.172
1852	1.156
1853	1.086
1854	1.02
1855	0.87
1856	0.983
1857	0.801
1858	1.123
1859	0.823
1860	1.06
1861	1.245
1862	1.032
1863	0.81
1864	0.938
1865	0.82
1866	0.695
1867	0.69
1868	0.484
1869	0.764
1870	0.884
1871	0.887
1872	0.956
1873	1.305
1874	0.838
1875	0.965
1876	1.198
1877	1.076
1878	1.078
1879	1.287
1880	0.99
1881	0.699
1882	0.623
1883	0.75
1884	0.812
1885	0.689
1886	0.942
1887	0.917
1888	0.859
1889	0.679
1890	0.998
1891	0.867
1892	0.393
1893	0.625
1894	0.794
1895	0.915
1896	0.763
1897	0.591
1898	0.696
1899	0.584
1900	0.41
1901	0.748
1902	0.803
1903	0.397
1904	0.577
1905	0.722
1906	0.754
1907	0.619
1908	0.858
1909	0.597
1910	0.644
1911	0.6
1912	0.799
1913	0.839
1914	0.939
1915	0.931
1916	0.647
1917	0.827
1918	1.006
1919	0.968
1920	0.957
1921	0.942
1922	0.812
1923	0.684
1924	0.894
1925	1.225
1926	0.898
1927	1.002
1928	0.976
1929	0.933
1930	1.473
1931	1.187
1932	0.967
1933	0.804
1934	1.151
1935	0.828
1936	0.964
1937	1.284
1938	1.127
1939	0.984
1940	1.193
1941	1.541
1942	1.264
1943	1.246
1944	1.324
1945	1.371
1946	1.23
1947	1.103
1948	0.989
1949	1.242
1950	1.356
1951	1.002
1952	0.867
1953	1.076
1954	1.191
1955	0.906
1956	1.137
1957	1.235
1958	1.258
1959	1.057
1960	1.308
1961	1.139
1962	0.859
1963	0.841
1964	1.092
1965	0.774
1966	0.885
1967	0.766
1968	0.972
1969	1.287
1970	1.307
1971	1.213
1972	1.248
1973	1.364
1974	1.183
1975	0.812
1976	0.819
1977	1.014
1978	0.917
1979	1.144
1980	1.313
1981	1.101
1982	1.099
1983	1.169
1984	1.198
1985	1.858
1986	1.03
1987	0.892
1988	0.996
1989	0.747
1990	1.045
1991	0.977
1992	1.002
1993	1.158
1994	0.903
1995	0.651
1996	1.044
1997	0.892