# europe_swit178w - Krauchthal BE - 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/4483
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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_swit178w - Krauchthal BE - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
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# 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: Krauchthal BE
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 47.0
#	Southernmost_Latitude: 47.0
#	Easternmost_Longitude: 7.57
#	Westernmost_Longitude: 7.57
#	Elevation: 550 m
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# Data_Collection
#	Collection_Name: europe_swit178wB
#	Earliest_Year: 1785
#	Most_Recent_Year: 1976
#	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":"2.92799896707","T2":"12.7359143815","M1":"0.0234719723274","M2":"0.628633228363"}}
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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
1785	0.829
1786	0.945
1787	0.861
1788	0.958
1789	1.223
1790	1.311
1791	1.052
1792	1.385
1793	0.967
1794	1.212
1795	1.164
1796	0.908
1797	1.055
1798	0.593
1799	1.165
1800	1.025
1801	1.072
1802	1.087
1803	0.846
1804	0.984
1805	0.881
1806	0.784
1807	0.706
1808	1.144
1809	0.949
1810	0.936
1811	0.759
1812	0.924
1813	1.104
1814	0.8
1815	1.052
1816	1.046
1817	0.955
1818	0.784
1819	1.01
1820	0.885
1821	1.077
1822	0.875
1823	1.088
1824	1.117
1825	0.92
1826	0.769
1827	0.965
1828	0.94
1829	0.61
1830	1.158
1831	0.896
1832	0.909
1833	0.88
1834	0.326
1835	0.557
1836	0.859
1837	0.86
1838	1.008
1839	1.016
1840	1.093
1841	1.103
1842	0.977
1843	1.478
1844	0.668
1845	1.028
1846	1.344
1847	0.92
1848	1.04
1849	0.882
1850	1.073
1851	0.905
1852	0.652
1853	1.058
1854	0.975
1855	1.056
1856	1.168
1857	0.984
1858	0.624
1859	1.025
1860	1.13
1861	1.071
1862	0.806
1863	0.793
1864	1.126
1865	0.55
1866	1.071
1867	1.071
1868	0.811
1869	1.146
1870	0.405
1871	0.864
1872	0.732
1873	0.744
1874	0.746
1875	0.846
1876	0.973
1877	1.112
1878	1.408
1879	1.267
1880	1.171
1881	1.144
1882	1.201
1883	1.319
1884	1.032
1885	0.822
1886	1.231
1887	0.784
1888	0.901
1889	0.94
1890	0.935
1891	1.135
1892	0.808
1893	0.505
1894	0.714
1895	0.745
1896	1.129
1897	0.892
1898	1.04
1899	0.945
1900	1.191
1901	0.746
1902	0.675
1903	1.025
1904	0.971
1905	1.535
1906	1.054
1907	1.235
1908	0.9
1909	0.56
1910	1.042
1911	0.731
1912	1.043
1913	0.754
1914	1.099
1915	1.516
1916	1.735
1917	1.332
1918	0.862
1919	0.844
1920	1.13
1921	0.713
1922	0.927
1923	0.796
1924	1.165
1925	0.801
1926	1.126
1927	1.052
1928	0.889
1929	0.978
1930	1.832
1931	1.33
1932	1.638
1933	0.8
1934	0.703
1935	1.106
1936	1.037
1937	0.887
1938	0.951
1939	1.329
1940	1.27
1941	1.348
1942	0.927
1943	0.52
1944	0.636
1945	0.654
1946	1.068
1947	0.52
1948	0.994
1949	0.819
1950	0.78
1951	1.327
1952	0.999
1953	0.608
1954	0.969
1955	1.322
1956	1.038
1957	0.862
1958	1.22
1959	0.919
1960	0.93
1961	0.875
1962	0.521
1963	0.941
1964	1.009
1965	0.979
1966	0.947
1967	0.909
1968	0.904
1969	0.894
1970	0.867
1971	0.864
1972	1.093
1973	1.174
1974	0.848
1975	1.048
1976	0.648