# europe_norw014 - Jondalen - Breitenmoser Tree Ring Chronology Data
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#		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/2826
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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_norw014 - Jondalen - 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: Jondalen
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 59.7
#	Southernmost_Latitude: 59.7
#	Easternmost_Longitude: 9.48
#	Westernmost_Longitude: 9.48
#	Elevation: 400 m
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# Data_Collection
#	Collection_Name: europe_norw014B
#	Earliest_Year: 1718
#	Most_Recent_Year: 1981
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.25029572162","T2":"12.4192695118","M1":"0.0222686140289","M2":"0.586943489494"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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# Chronology:
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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
1718	1.191
1719	1.047
1720	1.63
1721	1.839
1722	1.658
1723	0.931
1724	1.14
1725	1.428
1726	0.975
1727	1.163
1728	0.868
1729	0.83
1730	1.199
1731	1.314
1732	1.254
1733	1.384
1734	1.606
1735	1.178
1736	0.914
1737	0.957
1738	1.035
1739	1.039
1740	0.739
1741	0.552
1742	0.594
1743	0.964
1744	1.058
1745	1.26
1746	0.785
1747	1.012
1748	0.691
1749	0.711
1750	1.076
1751	1.066
1752	1.184
1753	0.955
1754	0.937
1755	0.692
1756	0.826
1757	0.876
1758	0.852
1759	1.282
1760	1.118
1761	1.259
1762	1.043
1763	1.423
1764	1.601
1765	1.217
1766	1.774
1767	1.614
1768	0.975
1769	0.975
1770	1.133
1771	0.879
1772	0.817
1773	1.194
1774	1.225
1775	0.665
1776	1.509
1777	1.225
1778	1.189
1779	0.933
1780	1.181
1781	0.327
1782	1.052
1783	0.846
1784	1.163
1785	0.855
1786	0.786
1787	0.969
1788	0.4
1789	0.989
1790	0.884
1791	0.887
1792	0.952
1793	1.034
1794	1.011
1795	0.641
1796	0.527
1797	0.846
1798	0.781
1799	0.819
1800	0.598
1801	0.573
1802	0.539
1803	0.557
1804	0.637
1805	0.574
1806	0.417
1807	0.783
1808	0.755
1809	0.797
1810	0.807
1811	0.912
1812	1.008
1813	0.87
1814	0.744
1815	0.756
1816	0.849
1817	1.127
1818	0.986
1819	0.973
1820	0.694
1821	0.517
1822	0.493
1823	0.592
1824	0.495
1825	0.698
1826	0.649
1827	0.808
1828	0.876
1829	0.791
1830	0.542
1831	0.521
1832	0.726
1833	0.777
1834	0.988
1835	0.723
1836	0.848
1837	0.72
1838	0.647
1839	0.622
1840	0.533
1841	0.55
1842	0.754
1843	0.685
1844	0.64
1845	0.711
1846	0.542
1847	0.774
1848	0.742
1849	0.332
1850	0.485
1851	0.582
1852	0.641
1853	0.613
1854	0.884
1855	0.813
1856	0.688
1857	0.674
1858	0.881
1859	0.793
1860	0.861
1861	0.797
1862	0.997
1863	0.794
1864	0.819
1865	0.748
1866	0.919
1867	0.658
1868	0.684
1869	0.782
1870	0.914
1871	0.776
1872	0.959
1873	0.928
1874	0.954
1875	0.98
1876	0.627
1877	0.751
1878	0.855
1879	0.924
1880	0.951
1881	0.817
1882	1.054
1883	0.864
1884	1.152
1885	1.086
1886	0.989
1887	0.665
1888	0.915
1889	0.771
1890	1.167
1891	1.098
1892	0.961
1893	0.874
1894	1.193
1895	1.091
1896	1.155
1897	1.16
1898	1.193
1899	0.956
1900	1.014
1901	0.945
1902	0.655
1903	0.991
1904	0.73
1905	0.979
1906	0.927
1907	0.974
1908	1.015
1909	1.061
1910	1.436
1911	1.022
1912	0.993
1913	1.161
1914	1.083
1915	0.662
1916	0.952
1917	0.878
1918	0.78
1919	0.885
1920	0.758
1921	0.869
1922	0.84
1923	0.828
1924	1.127
1925	1.151
1926	1.237
1927	1.204
1928	0.925
1929	1.013
1930	1.203
1931	0.84
1932	1.104
1933	0.934
1934	0.789
1935	0.909
1936	0.892
1937	1.126
1938	0.794
1939	1.241
1940	0.832
1941	0.961
1942	1.068
1943	1.24
1944	1.471
1945	1.659
1946	1.718
1947	0.898
1948	0.896
1949	1.576
1950	1.202
1951	1.494
1952	1.281
1953	1.684
1954	1.608
1955	1.056
1956	1.504
1957	1.614
1958	1.554
1959	0.904
1960	0.875
1961	0.909
1962	1.222
1963	1.358
1964	1.698
1965	1.715
1966	1.283
1967	1.575
1968	1.339
1969	1.136
1970	0.867
1971	1.047
1972	1.168
1973	1.17
1974	1.016
1975	0.827
1976	1.003
1977	0.737
1978	0.876
1979	1.104
1980	1.225
1981	1.358