# asia_russ058w - Charijaga - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/4377
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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
#--------------------
# Title
#	Study_Name: asia_russ058w - Charijaga - 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:
#--------------------
#	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: Charijaga
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 66.88
#	Southernmost_Latitude: 66.88
#	Easternmost_Longitude: 51.95
#	Westernmost_Longitude: 51.95
#	Elevation: 35 m
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# Data_Collection
#	Collection_Name: asia_russ058wB
#	Earliest_Year: 1734
#	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":"5.79959746339","T2":"19.1688587","M1":"0.0219026820354","M2":"0.25561831797"}}
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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)
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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
1734	0.66
1735	1.067
1736	0.959
1737	1.149
1738	1.265
1739	0.797
1740	0.93
1741	1.114
1742	1.122
1743	1.05
1744	1.118
1745	1.438
1746	1.022
1747	1.003
1748	0.811
1749	0.633
1750	0.802
1751	0.711
1752	0.482
1753	1.026
1754	0.913
1755	1.097
1756	1.169
1757	1.072
1758	0.933
1759	0.851
1760	0.717
1761	0.747
1762	0.885
1763	0.598
1764	0.775
1765	1.138
1766	0.991
1767	1.268
1768	1.248
1769	0.751
1770	0.597
1771	0.942
1772	0.75
1773	1.006
1774	1.536
1775	1.209
1776	0.887
1777	1.09
1778	1.403
1779	0.914
1780	1.146
1781	0.889
1782	0.819
1783	0.655
1784	0.647
1785	0.849
1786	0.689
1787	0.703
1788	0.852
1789	0.72
1790	0.779
1791	0.917
1792	1.286
1793	1.947
1794	1.736
1795	1.595
1796	1.777
1797	1.575
1798	1.641
1799	1.169
1800	1.333
1801	1.189
1802	1.308
1803	1.234
1804	1.427
1805	1.359
1806	1.066
1807	1.358
1808	1.408
1809	1.183
1810	0.74
1811	1.002
1812	1.004
1813	1.11
1814	0.776
1815	0.601
1816	0.369
1817	0.329
1818	0.461
1819	0.55
1820	0.668
1821	0.867
1822	0.752
1823	0.882
1824	1.077
1825	0.875
1826	1.206
1827	1.761
1828	1.075
1829	1.431
1830	1.248
1831	1.023
1832	0.979
1833	0.954
1834	0.717
1835	0.663
1836	0.823
1837	0.534
1838	0.403
1839	0.47
1840	0.735
1841	0.733
1842	1.183
1843	0.795
1844	0.974
1845	0.83
1846	0.758
1847	0.905
1848	1.03
1849	1.214
1850	1.469
1851	1.364
1852	1.384
1853	1.119
1854	1.23
1855	1.103
1856	1.287
1857	0.839
1858	0.65
1859	0.976
1860	0.861
1861	0.832
1862	0.553
1863	0.338
1864	0.98
1865	0.464
1866	0.4
1867	0.552
1868	0.481
1869	0.833
1870	0.716
1871	0.724
1872	0.633
1873	0.552
1874	0.654
1875	0.629
1876	0.7
1877	0.68
1878	0.732
1879	1.106
1880	0.903
1881	0.94
1882	0.638
1883	0.423
1884	0.598
1885	0.606
1886	0.543
1887	0.511
1888	0.659
1889	0.63
1890	0.96
1891	0.813
1892	0.863
1893	1.101
1894	0.708
1895	0.64
1896	0.954
1897	0.787
1898	1.037
1899	0.605
1900	0.48
1901	0.645
1902	0.548
1903	0.273
1904	0.546
1905	0.645
1906	0.626
1907	0.591
1908	0.619
1909	0.893
1910	0.88
1911	0.918
1912	0.914
1913	1.593
1914	0.97
1915	1.374
1916	1.313
1917	1.022
1918	0.846
1919	1.105
1920	1.126
1921	1.182
1922	1.451
1923	1.6
1924	1.759
1925	1.782
1926	0.944
1927	1.476
1928	1.542
1929	1.25
1930	1.332
1931	1.614
1932	1.401
1933	1.185
1934	1.194
1935	1.282
1936	1.198
1937	1.409
1938	1.542
1939	1.671
1940	1.696
1941	1.12
1942	1.132
1943	1.51
1944	1.242
1945	1.138
1946	1.146
1947	0.833
1948	1.008
1949	1.252
1950	1.086
1951	1.357
1952	1.156
1953	0.969
1954	1.432
1955	1.121
1956	1.209
1957	1.496
1958	1.118
1959	1.203
1960	1.54
1961	1.34
1962	1.301
1963	1.227
1964	1.408
1965	1.264
1966	1.197
1967	1.514
1968	1.18
1969	0.72
1970	0.893
1971	0.891
1972	0.785
1973	0.807
1974	0.928
1975	0.594
1976	0.837
1977	0.792
1978	0.821
1979	0.858
1980	0.798
1981	0.946
1982	0.853
1983	1.214
1984	1.299
1985	0.896
1986	0.69
1987	0.746
1988	0.87
1989	0.899
1990	0.994