# europe_swit172w - Beatenberg, BE - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/4343
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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_swit172w - Beatenberg, BE - 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: Beatenberg, BE
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 46.7
#	Southernmost_Latitude: 46.7
#	Easternmost_Longitude: 7.77
#	Westernmost_Longitude: 7.77
#	Elevation: 1560 m
#--------------------
# Data_Collection
#	Collection_Name: europe_swit172wB
#	Earliest_Year: 1736
#	Most_Recent_Year: 1988
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.93822835862","T2":"19.1681050819","M1":"0.0225805774653","M2":"0.388751613558"}}
#--------------------
# 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
1736	0.914
1737	0.905
1738	0.892
1739	0.893
1740	0.805
1741	0.735
1742	0.796
1743	0.883
1744	1.072
1745	0.956
1746	0.982
1747	0.989
1748	1.038
1749	1.157
1750	0.858
1751	0.873
1752	0.735
1753	0.762
1754	0.905
1755	1.153
1756	1.136
1757	1.189
1758	0.928
1759	1.316
1760	1.066
1761	1.069
1762	0.823
1763	1.029
1764	1.074
1765	1.055
1766	1.052
1767	1.028
1768	0.903
1769	0.965
1770	0.789
1771	0.757
1772	0.84
1773	0.809
1774	0.864
1775	0.983
1776	0.877
1777	0.972
1778	1.023
1779	0.845
1780	1.022
1781	0.93
1782	0.865
1783	0.863
1784	1.084
1785	0.975
1786	0.91
1787	0.826
1788	0.825
1789	0.791
1790	0.768
1791	0.907
1792	0.845
1793	0.847
1794	0.891
1795	0.616
1796	0.752
1797	0.636
1798	0.746
1799	0.826
1800	0.771
1801	0.815
1802	0.744
1803	0.844
1804	0.887
1805	1.008
1806	0.916
1807	1.238
1808	0.978
1809	0.886
1810	0.745
1811	0.863
1812	0.74
1813	0.575
1814	0.776
1815	0.629
1816	0.608
1817	0.593
1818	0.642
1819	0.707
1820	0.641
1821	0.661
1822	0.866
1823	0.973
1824	1.013
1825	0.948
1826	0.889
1827	0.957
1828	1.036
1829	1.116
1830	0.991
1831	1.196
1832	1.057
1833	0.928
1834	1.342
1835	1.579
1836	1.189
1837	1.383
1838	1.338
1839	1.357
1840	1.119
1841	1.016
1842	1.238
1843	0.927
1844	1.042
1845	0.941
1846	1.346
1847	1.204
1848	1.153
1849	1.105
1850	0.997
1851	0.985
1852	1.236
1853	1.352
1854	1.129
1855	0.987
1856	1.081
1857	1.116
1858	1.001
1859	1.233
1860	0.93
1861	1.092
1862	1.119
1863	1.132
1864	1.143
1865	1.076
1866	0.974
1867	1.063
1868	1.076
1869	1.055
1870	0.887
1871	1.063
1872	1.038
1873	1.349
1874	1.161
1875	1.102
1876	1.02
1877	1.005
1878	0.936
1879	0.892
1880	0.802
1881	1.041
1882	0.943
1883	0.928
1884	1.069
1885	1.026
1886	0.742
1887	0.786
1888	0.62
1889	0.843
1890	0.807
1891	0.826
1892	0.778
1893	0.865
1894	0.861
1895	0.888
1896	0.871
1897	0.859
1898	0.923
1899	0.967
1900	0.848
1901	0.782
1902	0.814
1903	0.975
1904	1.093
1905	1.067
1906	0.823
1907	0.96
1908	1.072
1909	0.858
1910	0.875
1911	1.042
1912	0.844
1913	0.695
1914	0.894
1915	0.831
1916	0.71
1917	0.775
1918	0.669
1919	0.738
1920	0.67
1921	0.967
1922	0.895
1923	1.006
1924	1.056
1925	1.12
1926	0.968
1927	1.018
1928	1.017
1929	0.949
1930	1.091
1931	1.026
1932	1.102
1933	1.081
1934	0.844
1935	1.05
1936	0.998
1937	0.966
1938	0.84
1939	0.973
1940	0.722
1941	0.769
1942	0.631
1943	0.849
1944	0.933
1945	0.973
1946	1.097
1947	1.084
1948	0.816
1949	0.906
1950	1.073
1951	1.394
1952	1.553
1953	1.219
1954	1.017
1955	1.027
1956	0.848
1957	0.869
1958	0.902
1959	0.917
1960	0.772
1961	0.68
1962	0.797
1963	0.8
1964	1.052
1965	1.107
1966	1.142
1967	1.243
1968	1.086
1969	1.094
1970	1.15
1971	1.085
1972	0.994
1973	0.971
1974	0.787
1975	0.789
1976	0.867
1977	0.963
1978	0.929
1979	0.876
1980	0.947
1981	0.894
1982	1.194
1983	1.339
1984	1.09
1985	1.151
1986	1.166
1987	1.208
1988	1.228