# europe_finl058 - Sompio - 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/2855
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_finl058 - Sompio - 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: Sompio
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 68.13
#	Southernmost_Latitude: 68.13
#	Easternmost_Longitude: 27.45
#	Westernmost_Longitude: 27.45
#	Elevation: 330 m
#--------------------
# Data_Collection
#	Collection_Name: europe_finl058B
#	Earliest_Year: 1627
#	Most_Recent_Year: 1983
#	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":"4.25844663722","T2":"17.8543692006","M1":"0.0227908283561","M2":"0.361305872407"}}
#--------------------
# 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
1627	0.922
1628	0.974
1629	1.263
1630	0.843
1631	0.955
1632	1.256
1633	0.954
1634	0.904
1635	1.028
1636	1.376
1637	1.34
1638	1.034
1639	1.032
1640	0.812
1641	0.546
1642	0.415
1643	0.607
1644	0.452
1645	0.475
1646	0.67
1647	0.95
1648	1.013
1649	0.725
1650	0.541
1651	0.851
1652	1.015
1653	0.807
1654	0.894
1655	1.174
1656	1.056
1657	1.109
1658	1.259
1659	1.206
1660	1.313
1661	1.136
1662	1.151
1663	0.96
1664	1.134
1665	1.039
1666	0.75
1667	0.767
1668	1.077
1669	0.916
1670	1.049
1671	1.279
1672	0.846
1673	0.685
1674	0.709
1675	0.695
1676	0.688
1677	0.902
1678	0.779
1679	0.711
1680	0.449
1681	0.913
1682	1.197
1683	0.943
1684	0.982
1685	1.027
1686	1.489
1687	1.301
1688	1.115
1689	1.469
1690	0.94
1691	1.212
1692	1.209
1693	1.315
1694	1.566
1695	1.029
1696	0.569
1697	1.083
1698	1.037
1699	0.737
1700	0.698
1701	0.928
1702	1.128
1703	0.848
1704	1.008
1705	0.841
1706	0.793
1707	0.996
1708	0.904
1709	0.436
1710	0.779
1711	0.825
1712	0.869
1713	0.724
1714	0.964
1715	1.08
1716	0.799
1717	0.918
1718	1.124
1719	0.777
1720	0.914
1721	0.676
1722	0.871
1723	0.872
1724	0.627
1725	1.009
1726	0.899
1727	1.14
1728	1.008
1729	1.297
1730	1.115
1731	0.951
1732	0.874
1733	0.743
1734	0.398
1735	0.548
1736	0.94
1737	0.84
1738	1.152
1739	1.328
1740	0.926
1741	1.0
1742	1.126
1743	1.289
1744	1.148
1745	0.927
1746	1.199
1747	0.838
1748	1.104
1749	1.19
1750	1.163
1751	0.906
1752	1.356
1753	1.269
1754	1.519
1755	1.549
1756	1.541
1757	1.363
1758	1.388
1759	1.571
1760	1.568
1761	1.328
1762	1.316
1763	1.175
1764	1.186
1765	1.312
1766	1.278
1767	1.076
1768	1.101
1769	1.024
1770	1.03
1771	0.728
1772	0.835
1773	0.829
1774	0.968
1775	0.827
1776	0.887
1777	1.025
1778	1.15
1779	0.888
1780	1.12
1781	0.863
1782	0.993
1783	0.897
1784	1.052
1785	1.468
1786	1.102
1787	1.037
1788	1.048
1789	1.074
1790	0.775
1791	0.895
1792	0.784
1793	0.511
1794	0.439
1795	0.325
1796	0.411
1797	0.464
1798	0.563
1799	0.607
1800	0.421
1801	0.545
1802	0.621
1803	0.394
1804	0.594
1805	0.689
1806	0.253
1807	0.78
1808	0.776
1809	0.653
1810	0.673
1811	0.575
1812	0.668
1813	0.49
1814	0.568
1815	0.74
1816	0.632
1817	0.764
1818	0.715
1819	0.747
1820	0.584
1821	0.654
1822	0.599
1823	0.883
1824	0.868
1825	0.828
1826	1.214
1827	1.341
1828	1.016
1829	1.128
1830	1.278
1831	1.073
1832	1.114
1833	1.003
1834	1.066
1835	0.798
1836	0.896
1837	0.424
1838	0.987
1839	0.672
1840	1.034
1841	0.865
1842	0.903
1843	0.915
1844	0.803
1845	0.972
1846	0.814
1847	0.797
1848	0.8
1849	1.158
1850	1.052
1851	1.235
1852	1.451
1853	1.167
1854	1.269
1855	1.167
1856	1.031
1857	1.091
1858	1.153
1859	0.995
1860	0.971
1861	1.073
1862	1.087
1863	1.098
1864	1.339
1865	1.369
1866	1.047
1867	1.111
1868	1.197
1869	1.262
1870	1.304
1871	1.049
1872	0.935
1873	1.037
1874	0.766
1875	0.788
1876	0.941
1877	0.905
1878	0.803
1879	0.76
1880	0.546
1881	0.517
1882	0.817
1883	0.791
1884	0.716
1885	0.84
1886	0.952
1887	0.951
1888	0.769
1889	0.884
1890	1.066
1891	0.926
1892	0.72
1893	0.658
1894	0.819
1895	0.856
1896	0.88
1897	0.736
1898	1.011
1899	0.799
1900	0.59
1901	0.875
1902	0.607
1903	0.361
1904	0.564
1905	0.56
1906	0.743
1907	0.654
1908	0.738
1909	0.734
1910	0.472
1911	0.454
1912	0.715
1913	0.673
1914	0.83
1915	0.97
1916	1.005
1917	0.882
1918	0.957
1919	0.938
1920	1.068
1921	1.15
1922	1.24
1923	1.299
1924	1.226
1925	1.674
1926	1.1
1927	1.23
1928	0.862
1929	0.778
1930	1.198
1931	1.095
1932	1.087
1933	1.068
1934	1.325
1935	1.128
1936	0.922
1937	1.36
1938	1.502
1939	1.158
1940	1.012
1941	1.41
1942	1.05
1943	0.869
1944	0.908
1945	1.027
1946	0.816
1947	0.86
1948	1.086
1949	1.041
1950	1.068
1951	1.079
1952	1.117
1953	1.187
1954	1.391
1955	1.133
1956	1.055
1957	1.243
1958	1.026
1959	1.034
1960	1.249
1961	0.84
1962	1.158
1963	0.832
1964	1.541
1965	1.042
1966	1.084
1967	1.311
1968	1.071
1969	0.969
1970	1.09
1971	0.977
1972	1.084
1973	1.384
1974	0.938
1975	1.114
1976	1.149
1977	1.059
1978	0.883
1979	1.274
1980	1.127
1981	1.074
1982	1.191
1983	1.077