# europe_swed323 - Norberg - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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/6137
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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_swed323 - Norberg - 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: Norberg
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 60.13
#	Southernmost_Latitude: 60.13
#	Easternmost_Longitude: 16.08
#	Westernmost_Longitude: 16.08
#	Elevation: 150 m
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# Data_Collection
#	Collection_Name: europe_swed323B
#	Earliest_Year: 1755
#	Most_Recent_Year: 1997
#	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":"2.45420465427","T2":"12.7079304761","M1":"0.0230020274713","M2":"0.594773751043"}}
#--------------------
# 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
#
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1755	1.173
1756	1.039
1757	0.657
1758	0.751
1759	1.132
1760	1.159
1761	1.199
1762	1.086
1763	0.911
1764	0.696
1765	0.664
1766	0.651
1767	0.715
1768	0.553
1769	0.594
1770	0.682
1771	0.579
1772	0.877
1773	0.702
1774	0.541
1775	0.958
1776	1.754
1777	1.327
1778	0.924
1779	1.316
1780	1.106
1781	0.939
1782	1.696
1783	1.499
1784	1.872
1785	1.51
1786	0.981
1787	1.021
1788	0.761
1789	0.725
1790	1.574
1791	1.775
1792	1.268
1793	1.13
1794	1.396
1795	0.939
1796	1.023
1797	1.179
1798	0.745
1799	0.804
1800	0.833
1801	0.682
1802	0.737
1803	0.752
1804	0.778
1805	1.101
1806	0.769
1807	0.675
1808	0.774
1809	1.076
1810	1.166
1811	0.851
1812	0.911
1813	1.323
1814	1.094
1815	1.199
1816	0.83
1817	1.347
1818	0.87
1819	0.846
1820	0.847
1821	1.009
1822	0.773
1823	0.827
1824	0.955
1825	0.764
1826	0.802
1827	0.953
1828	1.053
1829	0.596
1830	1.057
1831	1.008
1832	0.833
1833	0.828
1834	1.448
1835	0.939
1836	1.151
1837	1.13
1838	1.105
1839	1.156
1840	1.076
1841	0.834
1842	1.06
1843	0.679
1844	1.013
1845	0.612
1846	0.814
1847	0.542
1848	0.952
1849	0.745
1850	0.835
1851	0.85
1852	0.624
1853	0.419
1854	0.626
1855	0.887
1856	0.943
1857	1.012
1858	0.81
1859	0.786
1860	0.953
1861	0.748
1862	1.103
1863	1.059
1864	1.099
1865	1.143
1866	1.103
1867	0.974
1868	0.728
1869	1.135
1870	1.084
1871	0.97
1872	0.984
1873	0.952
1874	0.533
1875	0.883
1876	0.891
1877	0.992
1878	1.247
1879	0.899
1880	0.905
1881	0.662
1882	1.12
1883	0.813
1884	0.96
1885	0.898
1886	0.917
1887	0.742
1888	0.721
1889	0.645
1890	0.812
1891	0.533
1892	0.844
1893	0.789
1894	1.297
1895	0.652
1896	0.898
1897	0.81
1898	0.983
1899	0.937
1900	0.854
1901	0.636
1902	0.732
1903	0.993
1904	0.767
1905	0.714
1906	0.751
1907	0.936
1908	0.753
1909	0.746
1910	0.867
1911	0.489
1912	0.842
1913	0.699
1914	0.87
1915	0.916
1916	0.998
1917	0.591
1918	0.751
1919	0.821
1920	0.927
1921	1.005
1922	1.134
1923	1.239
1924	1.236
1925	0.912
1926	1.139
1927	1.282
1928	1.156
1929	1.288
1930	1.048
1931	0.812
1932	0.833
1933	0.744
1934	0.755
1935	0.736
1936	0.734
1937	0.689
1938	0.927
1939	0.877
1940	0.514
1941	0.845
1942	1.177
1943	1.123
1944	1.156
1945	1.442
1946	1.694
1947	1.492
1948	1.345
1949	1.189
1950	1.387
1951	1.408
1952	1.498
1953	1.833
1954	1.557
1955	1.253
1956	1.163
1957	1.588
1958	1.395
1959	1.0
1960	0.665
1961	0.897
1962	1.0
1963	1.175
1964	1.326
1965	1.266
1966	0.814
1967	1.209
1968	0.956
1969	0.765
1970	0.825
1971	0.836
1972	1.128
1973	1.278
1974	1.14
1975	1.087
1976	0.982
1977	1.172
1978	0.922
1979	1.103
1980	1.307
1981	1.316
1982	1.022
1983	1.305
1984	1.244
1985	0.919
1986	0.936
1987	0.996
1988	0.946
1989	0.968
1990	0.8
1991	1.116
1992	1.006
1993	1.083
1994	1.014
1995	1.114
1996	1.028
1997	0.292