# europe_norw007 - Karasjok - 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.
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# 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/3990
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# 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_norw007 - Karasjok - 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.
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# 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
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# Site_Information
#	Site_Name: Karasjok
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 69.42
#	Southernmost_Latitude: 69.42
#	Easternmost_Longitude: 25.63
#	Westernmost_Longitude: 25.63
#	Elevation: 350 m
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# Data_Collection
#	Collection_Name: europe_norw007B
#	Earliest_Year: 1719
#	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":"6.68867105498","T2":"19.6224872486","M1":"0.0224927487915","M2":"0.310916667075"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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# Chronology:
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#
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# 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
1719	0.841
1720	0.844
1721	1.0
1722	1.079
1723	0.818
1724	1.06
1725	1.139
1726	1.055
1727	1.134
1728	0.944
1729	1.143
1730	1.333
1731	1.029
1732	0.994
1733	0.892
1734	0.534
1735	0.723
1736	0.846
1737	0.877
1738	1.296
1739	1.404
1740	1.149
1741	1.117
1742	1.247
1743	0.998
1744	0.971
1745	0.91
1746	1.135
1747	0.891
1748	0.995
1749	1.012
1750	1.024
1751	1.002
1752	1.205
1753	1.243
1754	1.309
1755	1.385
1756	1.302
1757	1.417
1758	1.314
1759	1.273
1760	1.226
1761	1.414
1762	1.317
1763	1.177
1764	0.933
1765	0.926
1766	1.01
1767	0.758
1768	0.895
1769	0.633
1770	0.865
1771	0.692
1772	0.763
1773	0.734
1774	0.844
1775	0.904
1776	0.874
1777	1.038
1778	1.177
1779	1.141
1780	1.24
1781	0.979
1782	0.94
1783	0.899
1784	0.81
1785	0.946
1786	0.579
1787	0.545
1788	0.63
1789	0.669
1790	0.554
1791	0.616
1792	0.663
1793	0.627
1794	0.684
1795	0.699
1796	0.978
1797	1.19
1798	1.213
1799	1.498
1800	1.046
1801	1.071
1802	0.971
1803	0.777
1804	1.145
1805	1.071
1806	0.505
1807	0.877
1808	1.143
1809	0.85
1810	0.666
1811	0.591
1812	0.556
1813	0.382
1814	0.555
1815	0.576
1816	0.643
1817	0.811
1818	0.986
1819	0.932
1820	0.922
1821	0.709
1822	0.738
1823	1.111
1824	1.117
1825	0.81
1826	1.487
1827	1.601
1828	1.326
1829	1.65
1830	1.626
1831	1.533
1832	1.248
1833	1.048
1834	0.951
1835	0.857
1836	0.997
1837	0.488
1838	0.821
1839	0.67
1840	0.881
1841	0.821
1842	0.788
1843	1.003
1844	1.267
1845	1.1
1846	0.871
1847	0.95
1848	0.958
1849	1.037
1850	0.912
1851	0.958
1852	1.058
1853	0.943
1854	1.155
1855	1.198
1856	1.133
1857	1.21
1858	1.423
1859	1.123
1860	1.164
1861	1.165
1862	1.011
1863	1.112
1864	1.331
1865	1.236
1866	0.971
1867	0.869
1868	0.933
1869	0.941
1870	1.056
1871	1.005
1872	1.019
1873	1.157
1874	0.715
1875	0.8
1876	1.096
1877	1.003
1878	0.765
1879	0.694
1880	0.554
1881	0.56
1882	0.844
1883	0.887
1884	0.753
1885	0.677
1886	0.666
1887	0.791
1888	0.646
1889	0.837
1890	1.157
1891	1.024
1892	0.778
1893	0.696
1894	0.961
1895	1.17
1896	1.164
1897	1.003
1898	1.334
1899	1.065
1900	0.669
1901	1.028
1902	0.639
1903	0.395
1904	0.634
1905	0.595
1906	0.643
1907	0.567
1908	0.79
1909	0.634
1910	0.503
1911	0.604
1912	0.858
1913	0.837
1914	0.954
1915	0.918
1916	0.95
1917	0.682
1918	0.911
1919	0.866
1920	0.995
1921	1.099
1922	1.268
1923	1.277
1924	1.253
1925	1.46
1926	1.188
1927	1.17
1928	0.87
1929	0.774
1930	1.287
1931	1.168
1932	1.028
1933	1.12
1934	1.651
1935	1.254
1936	1.136
1937	1.542
1938	1.216
1939	1.094
1940	0.842
1941	1.135
1942	0.997
1943	0.844
1944	0.824
1945	0.923
1946	0.921
1947	0.924
1948	1.031
1949	1.122
1950	1.226
1951	1.012
1952	1.062
1953	1.461
1954	1.516
1955	1.332
1956	1.453
1957	1.698
1958	1.26
1959	1.343
1960	1.39
1961	0.935
1962	0.922
1963	0.69
1964	1.186
1965	0.894
1966	0.947
1967	1.117
1968	0.917
1969	1.007
1970	1.135
1971	1.016
1972	1.071
1973	1.28
1974	0.97
1975	1.027
1976	1.078
1977	1.036
1978	0.803
1979	1.054
1980	0.928
1981	0.813
1982	0.861
1983	0.903
1984	0.672
1985	0.915
1986	0.766
1987	0.666
1988	0.811
1989	0.888
1990	0.835
1991	0.842
1992	0.843
1993	1.013
1994	0.926
1995	0.76
1996	0.744
1997	0.926
1998	0.903
1999	0.882
2000	0.981
2001	0.704