# europe_norw012 - Borealoa River - 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/3971
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_norw012 - Borealoa River - 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: Borealoa River
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 67.62
#	Southernmost_Latitude: 67.62
#	Easternmost_Longitude: 15.73
#	Westernmost_Longitude: 15.73
#	Elevation: 160 m
#--------------------
# Data_Collection
#	Collection_Name: europe_norw012B
#	Earliest_Year: 1621
#	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":"6.0135514712","T2":"18.8006605376","M1":"0.0222842798822","M2":"0.379768679835"}}
#--------------------
# 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
1621	1.069
1622	1.222
1623	1.399
1624	1.236
1625	0.976
1626	0.923
1627	0.965
1628	0.887
1629	0.895
1630	0.773
1631	0.842
1632	0.786
1633	0.719
1634	0.814
1635	0.85
1636	0.962
1637	1.124
1638	1.009
1639	0.948
1640	1.048
1641	0.842
1642	0.839
1643	0.854
1644	0.725
1645	0.555
1646	0.744
1647	0.875
1648	1.007
1649	0.973
1650	0.85
1651	0.974
1652	0.642
1653	0.223
1654	0.505
1655	0.749
1656	0.916
1657	0.894
1658	0.938
1659	0.814
1660	0.878
1661	0.653
1662	0.748
1663	0.884
1664	0.946
1665	1.217
1666	1.003
1667	0.791
1668	1.019
1669	0.813
1670	0.747
1671	0.691
1672	0.709
1673	0.925
1674	1.039
1675	0.717
1676	0.665
1677	0.578
1678	0.595
1679	0.558
1680	0.32
1681	0.492
1682	0.709
1683	0.996
1684	0.9
1685	1.135
1686	0.911
1687	0.905
1688	0.991
1689	1.168
1690	0.996
1691	0.87
1692	0.893
1693	1.238
1694	1.125
1695	0.675
1696	0.578
1697	0.778
1698	0.923
1699	1.233
1700	1.196
1701	1.377
1702	1.339
1703	1.347
1704	1.01
1705	0.593
1706	0.874
1707	1.343
1708	1.102
1709	0.755
1710	1.007
1711	0.987
1712	1.126
1713	1.296
1714	0.686
1715	0.974
1716	1.157
1717	1.228
1718	0.912
1719	0.494
1720	0.408
1721	0.462
1722	0.738
1723	0.665
1724	0.833
1725	1.148
1726	1.288
1727	1.326
1728	0.885
1729	1.057
1730	1.21
1731	0.87
1732	0.875
1733	0.851
1734	0.526
1735	0.79
1736	0.885
1737	0.828
1738	1.046
1739	1.017
1740	0.822
1741	0.496
1742	0.837
1743	0.733
1744	0.692
1745	1.085
1746	1.267
1747	1.059
1748	1.103
1749	1.118
1750	1.255
1751	1.114
1752	1.243
1753	1.234
1754	1.187
1755	1.473
1756	1.186
1757	1.213
1758	1.345
1759	1.229
1760	1.253
1761	1.264
1762	1.217
1763	0.986
1764	0.887
1765	1.012
1766	1.065
1767	0.936
1768	0.693
1769	0.574
1770	0.701
1771	0.562
1772	0.619
1773	0.928
1774	1.233
1775	1.003
1776	0.787
1777	0.939
1778	0.99
1779	0.97
1780	0.923
1781	0.683
1782	0.799
1783	0.896
1784	0.895
1785	1.044
1786	0.978
1787	1.333
1788	1.179
1789	1.073
1790	1.06
1791	0.938
1792	1.061
1793	1.29
1794	1.23
1795	1.258
1796	1.205
1797	1.198
1798	1.492
1799	1.383
1800	1.218
1801	1.51
1802	1.333
1803	0.884
1804	1.112
1805	1.113
1806	0.811
1807	0.866
1808	1.078
1809	0.983
1810	0.95
1811	0.814
1812	0.676
1813	0.828
1814	0.954
1815	0.882
1816	1.187
1817	1.318
1818	1.136
1819	1.086
1820	0.807
1821	0.641
1822	0.538
1823	0.859
1824	0.938
1825	0.703
1826	1.073
1827	1.06
1828	1.15
1829	1.307
1830	1.185
1831	1.49
1832	1.283
1833	1.102
1834	0.847
1835	0.476
1836	0.782
1837	0.622
1838	0.8
1839	0.799
1840	0.677
1841	0.896
1842	1.048
1843	1.055
1844	1.269
1845	1.242
1846	1.039
1847	1.179
1848	0.845
1849	0.862
1850	0.685
1851	0.981
1852	1.004
1853	0.894
1854	1.171
1855	0.964
1856	0.88
1857	0.573
1858	1.028
1859	0.949
1860	1.129
1861	1.179
1862	1.1
1863	0.941
1864	0.93
1865	0.849
1866	0.931
1867	1.008
1868	0.76
1869	1.036
1870	1.015
1871	0.895
1872	1.025
1873	1.022
1874	0.611
1875	0.69
1876	1.057
1877	1.062
1878	1.023
1879	1.112
1880	0.897
1881	0.659
1882	1.226
1883	1.335
1884	1.347
1885	0.845
1886	0.815
1887	0.902
1888	0.831
1889	0.758
1890	0.926
1891	0.869
1892	0.533
1893	0.624
1894	0.854
1895	0.953
1896	0.926
1897	1.026
1898	1.004
1899	0.844
1900	0.766
1901	1.089
1902	0.933
1903	0.683
1904	0.704
1905	0.789
1906	0.803
1907	0.933
1908	0.935
1909	0.553
1910	0.932
1911	0.928
1912	1.074
1913	1.048
1914	1.203
1915	1.124
1916	1.197
1917	1.165
1918	1.194
1919	1.304
1920	1.309
1921	0.999
1922	1.065
1923	0.816
1924	0.978
1925	1.089
1926	0.881
1927	1.066
1928	0.804
1929	0.931
1930	1.468
1931	1.212
1932	0.892
1933	0.958
1934	1.1
1935	0.642
1936	0.697
1937	0.834
1938	0.843
1939	0.908
1940	0.935
1941	1.094
1942	0.725
1943	0.805
1944	0.833
1945	1.013
1946	1.036
1947	0.876
1948	1.014
1949	1.226
1950	1.273
1951	1.06
1952	0.677
1953	1.145
1954	1.192
1955	0.826
1956	0.758
1957	1.009
1958	0.856
1959	0.864
1960	1.042
1961	0.936
1962	0.788
1963	0.855
1964	0.915
1965	0.789
1966	0.836
1967	0.687
1968	1.019
1969	1.11
1970	1.189
1971	1.066
1972	1.251
1973	1.221
1974	1.067
1975	0.796
1976	0.856
1977	1.03
1978	0.965
1979	1.105
1980	1.226
1981	0.89
1982	0.947
1983	1.149
1984	1.245
1985	1.639
1986	0.98
1987	1.174
1988	1.081
1989	0.795
1990	1.226
1991	1.043
1992	0.976
1993	1.277
1994	1.147
1995	0.816
1996	0.89
1997	1.002