# europe_swit128 - Jolimont Ju - 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/4448
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
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# Title
#	Study_Name: europe_swit128 - Jolimont Ju - Breitenmoser Tree Ring Chronology Data
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# 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.
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#	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:
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#	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: Jolimont Ju
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 47.32
#	Southernmost_Latitude: 47.32
#	Easternmost_Longitude: 7.22
#	Westernmost_Longitude: 7.22
#	Elevation: 660 m
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# Data_Collection
#	Collection_Name: europe_swit128B
#	Earliest_Year: 1780
#	Most_Recent_Year: 1982
#	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":"3.38497829459","T2":"12.9052497084","M1":"0.0229666878608","M2":"0.634884773415"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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# Chronology:
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# Variables
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# 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)
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##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
1780	0.804
1781	1.032
1782	0.938
1783	1.03
1784	0.717
1785	0.739
1786	1.032
1787	1.087
1788	1.036
1789	1.089
1790	1.163
1791	1.21
1792	1.099
1793	0.945
1794	0.986
1795	0.708
1796	0.756
1797	0.892
1798	0.983
1799	1.158
1800	0.972
1801	1.326
1802	0.658
1803	0.561
1804	0.809
1805	0.902
1806	0.771
1807	0.675
1808	1.04
1809	0.576
1810	0.552
1811	0.59
1812	0.901
1813	1.05
1814	1.071
1815	1.013
1816	1.117
1817	1.102
1818	1.247
1819	1.019
1820	1.099
1821	1.313
1822	1.199
1823	1.464
1824	1.125
1825	1.149
1826	1.333
1827	1.25
1828	1.49
1829	1.525
1830	1.437
1831	1.931
1832	0.803
1833	0.778
1834	0.724
1835	0.816
1836	0.811
1837	1.142
1838	1.05
1839	1.007
1840	1.401
1841	1.505
1842	0.836
1843	1.198
1844	0.95
1845	1.377
1846	1.126
1847	0.925
1848	1.174
1849	0.763
1850	1.012
1851	0.813
1852	0.804
1853	1.404
1854	1.312
1855	0.979
1856	0.959
1857	1.035
1858	0.842
1859	0.909
1860	0.943
1861	0.869
1862	0.617
1863	0.45
1864	0.717
1865	0.454
1866	0.951
1867	0.943
1868	1.109
1869	1.168
1870	0.259
1871	0.783
1872	0.974
1873	0.782
1874	0.9
1875	0.648
1876	0.766
1877	1.11
1878	1.278
1879	1.524
1880	1.113
1881	1.212
1882	1.399
1883	1.311
1884	1.079
1885	1.21
1886	1.031
1887	0.678
1888	0.709
1889	0.954
1890	1.179
1891	1.307
1892	0.799
1893	0.15
1894	0.945
1895	1.087
1896	1.157
1897	0.945
1898	0.767
1899	0.557
1900	0.838
1901	0.764
1902	0.475
1903	0.813
1904	1.012
1905	1.208
1906	0.778
1907	0.833
1908	0.758
1909	0.461
1910	0.831
1911	0.783
1912	0.995
1913	1.063
1914	0.952
1915	1.027
1916	1.044
1917	1.352
1918	0.761
1919	0.72
1920	0.896
1921	0.532
1922	0.835
1923	0.728
1924	1.342
1925	1.073
1926	1.118
1927	1.314
1928	0.923
1929	1.417
1930	1.644
1931	1.354
1932	1.599
1933	1.21
1934	0.494
1935	0.912
1936	1.089
1937	1.093
1938	0.933
1939	1.186
1940	1.018
1941	1.315
1942	1.12
1943	0.804
1944	0.656
1945	0.869
1946	0.932
1947	0.713
1948	0.936
1949	0.758
1950	0.981
1951	1.061
1952	0.532
1953	0.719
1954	0.743
1955	1.004
1956	0.812
1957	0.735
1958	0.972
1959	0.928
1960	1.102
1961	0.869
1962	0.615
1963	1.157
1964	0.985
1965	1.133
1966	1.167
1967	1.539
1968	1.519
1969	1.263
1970	1.442
1971	1.092
1972	1.012
1973	0.707
1974	0.745
1975	0.953
1976	0.602
1977	1.041
1978	0.774
1979	1.019
1980	1.127
1981	0.891
1982	1.106