# asia_russ045w - Voroney - 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/4727
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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: asia_russ045w - Voroney - 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.
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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: Voroney
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 63.43
#	Southernmost_Latitude: 63.43
#	Easternmost_Longitude: 43.55
#	Westernmost_Longitude: 43.55
#	Elevation: 120 m
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# Data_Collection
#	Collection_Name: asia_russ045wB
#	Earliest_Year: 1771
#	Most_Recent_Year: 1991
#	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":"4.34327027819","T2":"18.1949730164","M1":"0.022094455269","M2":"0.39359912694"}}
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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
1771	0.829
1772	0.833
1773	0.915
1774	1.117
1775	1.197
1776	0.955
1777	0.993
1778	1.026
1779	1.059
1780	1.093
1781	0.97
1782	1.165
1783	1.011
1784	1.176
1785	1.113
1786	0.977
1787	1.106
1788	1.153
1789	1.012
1790	1.015
1791	1.124
1792	1.238
1793	1.435
1794	1.506
1795	1.684
1796	1.586
1797	1.381
1798	1.294
1799	1.146
1800	1.081
1801	1.127
1802	1.209
1803	1.112
1804	1.112
1805	1.098
1806	0.775
1807	0.918
1808	1.071
1809	1.39
1810	0.829
1811	0.717
1812	0.809
1813	0.595
1814	0.606
1815	0.705
1816	0.701
1817	0.657
1818	0.727
1819	0.706
1820	0.847
1821	1.101
1822	0.946
1823	0.903
1824	0.954
1825	1.015
1826	1.132
1827	1.242
1828	0.955
1829	1.101
1830	1.068
1831	1.081
1832	1.081
1833	1.065
1834	0.94
1835	0.881
1836	0.768
1837	0.73
1838	0.705
1839	0.739
1840	0.619
1841	0.944
1842	1.173
1843	0.932
1844	1.048
1845	0.882
1846	0.926
1847	0.839
1848	0.995
1849	1.251
1850	1.623
1851	1.517
1852	1.324
1853	1.187
1854	1.076
1855	1.228
1856	1.254
1857	0.97
1858	0.717
1859	0.822
1860	0.867
1861	0.845
1862	0.823
1863	0.741
1864	1.083
1865	0.789
1866	0.856
1867	0.68
1868	0.701
1869	0.78
1870	0.792
1871	0.777
1872	0.624
1873	0.71
1874	0.823
1875	0.921
1876	0.96
1877	1.101
1878	1.013
1879	0.948
1880	1.001
1881	1.027
1882	1.019
1883	0.927
1884	0.995
1885	1.186
1886	0.913
1887	0.806
1888	0.728
1889	0.86
1890	1.152
1891	1.013
1892	0.595
1893	0.787
1894	0.724
1895	0.867
1896	1.012
1897	0.8
1898	1.072
1899	1.111
1900	0.896
1901	1.099
1902	1.22
1903	0.677
1904	1.015
1905	1.03
1906	1.139
1907	1.306
1908	1.077
1909	0.914
1910	0.74
1911	0.884
1912	0.957
1913	0.831
1914	1.04
1915	1.144
1916	0.993
1917	1.075
1918	0.88
1919	1.004
1920	1.021
1921	1.323
1922	1.616
1923	1.523
1924	1.173
1925	1.39
1926	0.964
1927	1.189
1928	0.914
1929	0.928
1930	1.042
1931	1.109
1932	1.175
1933	1.267
1934	1.093
1935	1.185
1936	1.167
1937	1.221
1938	1.179
1939	0.995
1940	1.124
1941	0.817
1942	0.743
1943	0.999
1944	0.828
1945	1.006
1946	0.957
1947	0.971
1948	1.129
1949	1.234
1950	1.2
1951	1.341
1952	1.173
1953	1.094
1954	1.23
1955	1.26
1956	1.283
1957	1.398
1958	0.922
1959	1.021
1960	1.195
1961	1.065
1962	0.788
1963	0.7
1964	0.934
1965	0.903
1966	1.241
1967	1.019
1968	0.925
1969	0.652
1970	0.999
1971	0.839
1972	0.596
1973	0.786
1974	0.94
1975	0.9
1976	0.959
1977	0.894
1978	0.873
1979	0.72
1980	0.835
1981	0.985
1982	0.827
1983	0.693
1984	0.816
1985	0.802
1986	0.832
1987	0.813
1988	0.998
1989	1.068
1990	1.193
1991	0.993