# europe_swed326 - Central Scandinavian Mountains - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/6132
#
# 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: europe_swed326 - Central Scandinavian Mountains - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Central Scandinavian Mountains
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 63.12
#	Southernmost_Latitude: 63.12
#	Easternmost_Longitude: 13.33
#	Westernmost_Longitude: 13.33
#	Elevation: 700 m
#--------------------
# Data_Collection
#	Collection_Name: europe_swed326B
#	Earliest_Year: 1663
#	Most_Recent_Year: 1998
#	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":"3.75370536773","T2":"16.7883584243","M1":"0.0227637119546","M2":"0.442885918237"}}
#--------------------
# 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
1663	1.306
1664	1.325
1665	1.003
1666	1.073
1667	1.039
1668	1.049
1669	0.983
1670	1.064
1671	1.022
1672	1.05
1673	0.888
1674	0.799
1675	0.911
1676	0.884
1677	0.909
1678	1.073
1679	1.24
1680	0.903
1681	1.092
1682	1.364
1683	1.4
1684	1.311
1685	1.224
1686	1.235
1687	1.279
1688	0.894
1689	1.294
1690	1.273
1691	1.353
1692	1.285
1693	1.333
1694	1.504
1695	1.103
1696	0.745
1697	1.364
1698	1.117
1699	1.05
1700	1.138
1701	1.187
1702	1.218
1703	1.55
1704	1.175
1705	0.768
1706	1.007
1707	1.138
1708	0.748
1709	0.453
1710	0.737
1711	0.747
1712	0.887
1713	0.807
1714	0.889
1715	0.958
1716	1.035
1717	0.874
1718	0.887
1719	0.995
1720	1.185
1721	0.895
1722	0.813
1723	0.935
1724	0.998
1725	1.0
1726	1.078
1727	1.074
1728	0.984
1729	0.909
1730	1.144
1731	0.884
1732	1.12
1733	0.961
1734	1.029
1735	1.043
1736	1.219
1737	0.891
1738	1.146
1739	1.087
1740	0.734
1741	0.473
1742	0.644
1743	0.751
1744	0.884
1745	0.794
1746	0.873
1747	0.803
1748	1.174
1749	0.963
1750	1.213
1751	0.999
1752	1.463
1753	1.412
1754	1.229
1755	1.471
1756	1.106
1757	1.282
1758	1.033
1759	1.219
1760	1.185
1761	1.255
1762	1.403
1763	1.432
1764	1.24
1765	0.869
1766	1.279
1767	1.08
1768	0.87
1769	0.834
1770	0.878
1771	0.916
1772	0.957
1773	0.91
1774	1.098
1775	1.123
1776	1.23
1777	1.014
1778	1.173
1779	0.972
1780	1.201
1781	0.936
1782	1.089
1783	0.823
1784	0.533
1785	0.455
1786	0.286
1787	0.458
1788	0.596
1789	0.585
1790	0.46
1791	0.495
1792	0.587
1793	0.527
1794	0.641
1795	0.632
1796	0.6
1797	0.79
1798	1.107
1799	1.151
1800	0.599
1801	0.906
1802	0.903
1803	0.582
1804	0.975
1805	1.012
1806	0.528
1807	0.796
1808	0.875
1809	0.987
1810	0.838
1811	0.93
1812	0.773
1813	0.68
1814	0.807
1815	0.753
1816	1.043
1817	0.886
1818	0.957
1819	1.18
1820	0.943
1821	0.443
1822	0.831
1823	1.203
1824	1.035
1825	1.0
1826	1.607
1827	1.453
1828	1.611
1829	1.395
1830	1.131
1831	1.385
1832	0.921
1833	1.262
1834	1.387
1835	0.981
1836	1.088
1837	0.757
1838	1.016
1839	0.751
1840	0.576
1841	0.542
1842	0.798
1843	0.966
1844	0.469
1845	0.898
1846	0.94
1847	1.177
1848	0.838
1849	0.534
1850	0.627
1851	0.843
1852	1.039
1853	0.747
1854	1.281
1855	1.249
1856	0.926
1857	0.821
1858	1.345
1859	1.273
1860	1.229
1861	1.38
1862	1.245
1863	1.044
1864	0.919
1865	0.437
1866	0.888
1867	0.839
1868	0.953
1869	0.728
1870	0.726
1871	0.816
1872	0.889
1873	0.928
1874	0.704
1875	0.829
1876	0.891
1877	0.982
1878	0.773
1879	0.997
1880	0.916
1881	0.689
1882	1.006
1883	1.165
1884	1.153
1885	1.042
1886	0.739
1887	0.964
1888	0.764
1889	0.896
1890	0.851
1891	0.944
1892	0.857
1893	1.042
1894	1.068
1895	1.031
1896	1.046
1897	1.128
1898	1.134
1899	1.052
1900	0.87
1901	1.096
1902	0.875
1903	0.552
1904	0.637
1905	0.757
1906	0.833
1907	0.886
1908	0.958
1909	0.822
1910	0.937
1911	0.83
1912	0.931
1913	0.797
1914	1.15
1915	1.024
1916	0.924
1917	1.007
1918	1.232
1919	1.071
1920	0.941
1921	0.752
1922	1.2
1923	0.963
1924	0.838
1925	1.253
1926	0.896
1927	1.01
1928	0.55
1929	0.894
1930	1.136
1931	1.122
1932	0.871
1933	1.103
1934	1.288
1935	1.053
1936	0.986
1937	1.223
1938	1.153
1939	1.177
1940	1.046
1941	1.391
1942	0.895
1943	1.259
1944	1.384
1945	1.254
1946	1.331
1947	1.535
1948	1.636
1949	1.63
1950	1.69
1951	1.52
1952	1.385
1953	1.493
1954	1.466
1955	1.249
1956	1.132
1957	1.079
1958	0.949
1959	1.206
1960	1.105
1961	0.823
1962	0.856
1963	0.948
1964	1.017
1965	0.965
1966	0.958
1967	1.107
1968	1.044
1969	0.957
1970	1.03
1971	0.861
1972	1.112
1973	1.169
1974	0.892
1975	1.17
1976	1.268
1977	0.931
1978	1.071
1979	0.902
1980	0.943
1981	0.695
1982	0.865
1983	1.033
1984	0.787
1985	1.111
1986	1.014
1987	0.789
1988	0.995
1989	0.984
1990	0.838
1991	0.992
1992	0.788
1993	0.541
1994	0.873
1995	0.695
1996	0.549
1997	0.872
1998	0.489