# asia_russ046w - Shchely Bozh - 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/4639
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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_russ046w - Shchely Bozh - 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:
#--------------------
#	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: Shchely Bozh
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 66.22
#	Southernmost_Latitude: 66.22
#	Easternmost_Longitude: 56.33
#	Westernmost_Longitude: 56.33
#	Elevation: 65 m
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# Data_Collection
#	Collection_Name: asia_russ046wB
#	Earliest_Year: 1711
#	Most_Recent_Year: 1990
#	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":"6.56319741935","T2":"18.9912259128","M1":"0.0229272482091","M2":"0.241068359961"}}
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# 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
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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
1711	0.868
1712	0.916
1713	0.795
1714	0.602
1715	0.976
1716	0.784
1717	0.985
1718	1.099
1719	0.966
1720	1.069
1721	1.229
1722	0.742
1723	0.849
1724	0.913
1725	1.29
1726	1.292
1727	1.285
1728	1.322
1729	1.117
1730	0.63
1731	0.65
1732	0.611
1733	0.674
1734	0.646
1735	0.816
1736	0.916
1737	1.053
1738	1.047
1739	0.937
1740	0.726
1741	0.743
1742	0.687
1743	0.829
1744	1.019
1745	0.866
1746	0.505
1747	0.541
1748	0.533
1749	0.483
1750	0.687
1751	0.647
1752	0.479
1753	0.653
1754	0.646
1755	0.886
1756	1.175
1757	0.539
1758	0.592
1759	0.491
1760	0.509
1761	0.833
1762	1.06
1763	0.789
1764	1.311
1765	1.866
1766	1.407
1767	2.132
1768	1.973
1769	1.44
1770	0.823
1771	1.536
1772	1.516
1773	1.59
1774	2.494
1775	1.984
1776	1.275
1777	1.738
1778	1.96
1779	1.547
1780	1.843
1781	1.173
1782	1.514
1783	1.265
1784	0.973
1785	1.039
1786	0.62
1787	0.858
1788	0.822
1789	0.933
1790	1.236
1791	1.389
1792	1.274
1793	1.576
1794	1.549
1795	1.416
1796	1.55
1797	1.387
1798	1.23
1799	0.916
1800	1.319
1801	0.956
1802	0.934
1803	0.911
1804	0.874
1805	0.891
1806	0.825
1807	1.084
1808	1.129
1809	0.795
1810	0.527
1811	0.659
1812	0.733
1813	0.746
1814	0.58
1815	0.504
1816	0.326
1817	0.275
1818	0.342
1819	0.472
1820	0.537
1821	0.683
1822	0.765
1823	0.976
1824	0.938
1825	0.818
1826	0.801
1827	1.251
1828	0.825
1829	1.01
1830	1.456
1831	1.09
1832	1.227
1833	1.05
1834	0.752
1835	0.811
1836	0.796
1837	0.631
1838	0.513
1839	0.882
1840	0.894
1841	0.822
1842	1.1
1843	0.975
1844	1.411
1845	1.215
1846	1.258
1847	1.069
1848	1.139
1849	1.396
1850	1.434
1851	1.245
1852	1.187
1853	1.011
1854	1.09
1855	0.896
1856	1.122
1857	0.777
1858	0.583
1859	0.847
1860	0.827
1861	0.729
1862	0.562
1863	0.211
1864	0.719
1865	0.576
1866	0.684
1867	0.659
1868	0.607
1869	0.88
1870	1.1
1871	0.868
1872	0.701
1873	0.529
1874	0.853
1875	0.735
1876	0.823
1877	0.669
1878	0.779
1879	0.977
1880	0.842
1881	0.85
1882	0.614
1883	0.392
1884	0.718
1885	0.698
1886	0.763
1887	0.602
1888	0.663
1889	0.554
1890	0.788
1891	0.842
1892	0.271
1893	0.884
1894	0.694
1895	0.697
1896	0.769
1897	0.878
1898	1.245
1899	0.837
1900	0.94
1901	1.26
1902	1.331
1903	0.505
1904	0.979
1905	1.16
1906	1.192
1907	1.267
1908	1.244
1909	1.231
1910	0.94
1911	1.323
1912	1.043
1913	1.322
1914	0.97
1915	1.246
1916	1.203
1917	0.989
1918	0.967
1919	1.013
1920	0.845
1921	1.043
1922	1.397
1923	1.362
1924	1.416
1925	1.772
1926	1.307
1927	1.464
1928	1.493
1929	1.093
1930	1.368
1931	1.264
1932	1.312
1933	1.182
1934	1.332
1935	1.517
1936	1.583
1937	1.563
1938	1.568
1939	1.76
1940	1.771
1941	1.049
1942	1.081
1943	1.334
1944	1.329
1945	1.108
1946	1.067
1947	0.649
1948	0.88
1949	1.062
1950	0.933
1951	1.047
1952	1.256
1953	1.076
1954	1.39
1955	1.123
1956	1.298
1957	1.134
1958	0.91
1959	0.979
1960	1.047
1961	0.972
1962	0.838
1963	0.958
1964	1.221
1965	1.281
1966	1.054
1967	0.895
1968	0.893
1969	0.618
1970	0.739
1971	0.793
1972	0.727
1973	0.514
1974	0.547
1975	0.396
1976	0.572
1977	0.616
1978	0.666
1979	0.567
1980	0.674
1981	0.854
1982	0.524
1983	0.764
1984	0.816
1985	0.638
1986	0.646
1987	0.619
1988	0.83
1989	0.689
1990	0.694