# europe_swed328 - Tyresta - 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/6142
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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_swed328 - Tyresta - 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: Tyresta
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 59.18
#	Southernmost_Latitude: 59.18
#	Easternmost_Longitude: 18.27
#	Westernmost_Longitude: 18.27
#	Elevation: 60 m
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# Data_Collection
#	Collection_Name: europe_swed328B
#	Earliest_Year: 1765
#	Most_Recent_Year: 2000
#	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":"3.9931200422","T2":"14.9609992853","M1":"0.0228652571955","M2":"0.524732373725"}}
#--------------------
# 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
1765	0.933
1766	1.228
1767	1.342
1768	1.024
1769	1.445
1770	0.973
1771	0.733
1772	1.238
1773	1.172
1774	1.006
1775	0.864
1776	1.108
1777	1.118
1778	1.346
1779	1.792
1780	1.286
1781	0.674
1782	1.161
1783	0.774
1784	1.007
1785	0.798
1786	0.808
1787	1.155
1788	0.736
1789	0.864
1790	1.145
1791	1.378
1792	1.082
1793	1.233
1794	1.499
1795	1.015
1796	1.275
1797	1.46
1798	0.762
1799	1.116
1800	1.081
1801	0.618
1802	0.934
1803	0.737
1804	0.7
1805	1.088
1806	1.111
1807	0.927
1808	0.771
1809	0.935
1810	0.795
1811	0.761
1812	0.61
1813	0.594
1814	0.589
1815	0.749
1816	0.555
1817	0.814
1818	0.422
1819	0.606
1820	0.618
1821	0.608
1822	0.315
1823	0.469
1824	0.62
1825	0.695
1826	0.478
1827	0.552
1828	0.517
1829	0.366
1830	0.6
1831	0.67
1832	0.995
1833	0.773
1834	1.51
1835	1.114
1836	0.941
1837	1.061
1838	0.823
1839	1.081
1840	1.538
1841	1.411
1842	1.492
1843	1.387
1844	1.856
1845	1.085
1846	0.983
1847	0.999
1848	1.207
1849	1.319
1850	0.958
1851	1.049
1852	0.78
1853	0.445
1854	0.655
1855	0.699
1856	1.289
1857	0.975
1858	0.935
1859	0.806
1860	1.078
1861	0.657
1862	1.166
1863	1.127
1864	1.224
1865	1.216
1866	1.221
1867	1.118
1868	1.01
1869	0.973
1870	0.993
1871	1.142
1872	1.296
1873	1.169
1874	1.157
1875	1.248
1876	0.91
1877	1.15
1878	1.15
1879	0.978
1880	1.345
1881	1.064
1882	1.553
1883	0.786
1884	1.194
1885	0.956
1886	1.216
1887	0.984
1888	0.888
1889	0.792
1890	1.084
1891	0.835
1892	1.231
1893	0.96
1894	1.636
1895	0.736
1896	0.816
1897	1.116
1898	1.232
1899	0.929
1900	0.945
1901	0.528
1902	0.46
1903	0.645
1904	0.543
1905	0.425
1906	0.575
1907	0.764
1908	0.842
1909	1.026
1910	1.249
1911	1.011
1912	1.08
1913	0.815
1914	0.701
1915	0.856
1916	0.726
1917	0.413
1918	0.586
1919	0.648
1920	0.761
1921	0.798
1922	1.113
1923	1.328
1924	1.351
1925	1.072
1926	0.966
1927	1.318
1928	1.034
1929	1.15
1930	1.029
1931	1.085
1932	1.173
1933	0.982
1934	1.087
1935	0.978
1936	1.155
1937	1.057
1938	1.148
1939	0.87
1940	0.443
1941	0.823
1942	0.875
1943	0.696
1944	0.686
1945	1.158
1946	1.281
1947	0.925
1948	1.193
1949	1.09
1950	0.784
1951	0.875
1952	1.24
1953	1.314
1954	1.296
1955	1.105
1956	1.107
1957	1.35
1958	1.252
1959	0.512
1960	0.786
1961	0.888
1962	1.001
1963	0.956
1964	1.079
1965	1.015
1966	0.649
1967	0.912
1968	0.796
1969	0.396
1970	0.617
1971	0.565
1972	1.001
1973	1.063
1974	0.956
1975	0.905
1976	1.049
1977	1.182
1978	0.857
1979	1.374
1980	1.373
1981	1.288
1982	0.842
1983	1.161
1984	1.274
1985	0.8
1986	1.088
1987	1.204
1988	1.266
1989	1.042
1990	1.19
1991	1.29
1992	0.738
1993	0.856
1994	0.806
1995	1.089
1996	0.96
1997	1.104
1998	1.027
1999	0.769
2000	1.06