# europe_swit171w - Suaiza, TI - 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/4665
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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_swit171w - Suaiza, TI - 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: Suaiza, TI
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 46.43
#	Southernmost_Latitude: 46.43
#	Easternmost_Longitude: 8.87
#	Westernmost_Longitude: 8.87
#	Elevation: 1520 m
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# Data_Collection
#	Collection_Name: europe_swit171wB
#	Earliest_Year: 1750
#	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":"5.10967357957","T2":"14.8332342153","M1":"0.0224783765164","M2":"0.417982940303"}}
#--------------------
# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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
1750	0.948
1751	1.177
1752	1.194
1753	1.143
1754	1.068
1755	0.806
1756	1.017
1757	1.346
1758	1.391
1759	1.275
1760	1.079
1761	0.979
1762	0.878
1763	1.027
1764	0.929
1765	1.087
1766	1.176
1767	1.148
1768	1.005
1769	0.946
1770	1.131
1771	1.091
1772	0.98
1773	0.947
1774	0.943
1775	0.771
1776	0.791
1777	0.89
1778	0.932
1779	0.664
1780	0.903
1781	0.915
1782	0.733
1783	0.907
1784	1.016
1785	1.025
1786	1.147
1787	1.056
1788	1.113
1789	0.908
1790	0.773
1791	0.806
1792	0.806
1793	0.692
1794	0.884
1795	0.812
1796	0.707
1797	0.652
1798	0.588
1799	0.507
1800	0.617
1801	0.718
1802	0.841
1803	0.604
1804	0.621
1805	0.641
1806	0.562
1807	0.641
1808	0.545
1809	0.543
1810	0.622
1811	0.757
1812	0.843
1813	0.91
1814	1.111
1815	1.139
1816	0.908
1817	1.195
1818	1.025
1819	1.111
1820	1.021
1821	0.968
1822	0.959
1823	1.002
1824	0.821
1825	0.969
1826	0.83
1827	0.862
1828	0.877
1829	0.913
1830	0.745
1831	0.931
1832	0.661
1833	0.848
1834	0.749
1835	0.583
1836	0.64
1837	0.664
1838	0.625
1839	0.566
1840	0.525
1841	0.683
1842	0.98
1843	0.998
1844	1.151
1845	0.97
1846	0.984
1847	0.75
1848	1.117
1849	0.934
1850	0.861
1851	0.866
1852	0.853
1853	0.967
1854	0.933
1855	1.164
1856	1.053
1857	1.109
1858	1.058
1859	1.05
1860	0.71
1861	1.06
1862	0.759
1863	0.91
1864	1.046
1865	1.014
1866	1.06
1867	1.018
1868	1.074
1869	1.076
1870	0.871
1871	1.023
1872	0.941
1873	1.03
1874	0.993
1875	1.036
1876	0.877
1877	1.086
1878	1.164
1879	1.141
1880	1.062
1881	1.127
1882	0.992
1883	1.144
1884	0.979
1885	1.084
1886	0.899
1887	0.869
1888	0.88
1889	1.104
1890	1.177
1891	0.958
1892	1.283
1893	1.084
1894	0.739
1895	0.679
1896	0.688
1897	0.782
1898	0.796
1899	0.974
1900	1.084
1901	1.098
1902	0.865
1903	0.982
1904	1.294
1905	1.027
1906	0.971
1907	1.175
1908	1.272
1909	1.001
1910	1.306
1911	1.124
1912	1.174
1913	1.173
1914	1.221
1915	1.15
1916	1.174
1917	1.211
1918	1.239
1919	1.067
1920	1.247
1921	1.22
1922	1.048
1923	1.074
1924	1.179
1925	1.205
1926	1.086
1927	1.135
1928	0.978
1929	1.034
1930	1.006
1931	1.132
1932	1.083
1933	1.026
1934	0.998
1935	1.126
1936	1.161
1937	1.184
1938	1.022
1939	1.134
1940	1.089
1941	1.106
1942	0.933
1943	0.961
1944	1.028
1945	0.888
1946	1.027
1947	1.056
1948	0.94
1949	0.847
1950	0.77
1951	0.727
1952	0.95
1953	0.838
1954	0.915
1955	1.507
1956	1.168
1957	0.902
1958	0.976
1959	0.982
1960	0.977
1961	1.038
1962	0.855
1963	0.929
1964	1.11
1965	1.142
1966	1.07
1967	1.04
1968	1.163
1969	1.361
1970	1.17
1971	1.105
1972	1.092
1973	1.049
1974	0.932
1975	0.892
1976	0.641
1977	0.853
1978	0.914
1979	0.949
1980	0.929
1981	0.973
1982	1.32
1983	1.004
1984	0.73
1985	0.952
1986	0.822
1987	1.017
1988	0.959