# asia_russ120w - Molebny Kamen Ridge - 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/4533
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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_russ120w - Molebny Kamen Ridge - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# 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: Molebny Kamen Ridge
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 61.27
#	Southernmost_Latitude: 61.27
#	Easternmost_Longitude: 59.33
#	Westernmost_Longitude: 59.33
#	Elevation: 670 m
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# Data_Collection
#	Collection_Name: asia_russ120wB
#	Earliest_Year: 1762
#	Most_Recent_Year: 1993
#	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":"6.82668522504","T2":"15.7023530692","M1":"0.0224830857022","M2":"0.50575284056"}}
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# Species
#	Species_Name: Siberian spruce
#	Species_Code: PCOB
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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
1762	1.057
1763	0.876
1764	0.992
1765	0.973
1766	0.754
1767	0.975
1768	1.147
1769	1.366
1770	1.259
1771	1.397
1772	1.067
1773	0.659
1774	1.178
1775	0.933
1776	0.903
1777	1.008
1778	0.863
1779	0.896
1780	0.948
1781	1.132
1782	1.019
1783	0.915
1784	0.984
1785	1.113
1786	1.185
1787	1.32
1788	1.305
1789	0.882
1790	1.126
1791	1.04
1792	0.967
1793	0.983
1794	1.136
1795	1.189
1796	1.201
1797	1.123
1798	1.32
1799	1.015
1800	1.063
1801	1.237
1802	0.934
1803	0.791
1804	0.829
1805	1.005
1806	0.906
1807	1.101
1808	1.153
1809	1.259
1810	0.874
1811	0.94
1812	1.053
1813	1.069
1814	1.14
1815	0.92
1816	0.964
1817	0.887
1818	0.828
1819	0.74
1820	0.898
1821	1.03
1822	0.989
1823	1.058
1824	1.147
1825	1.083
1826	0.799
1827	1.0
1828	0.834
1829	1.089
1830	0.993
1831	0.848
1832	1.082
1833	0.91
1834	0.876
1835	0.937
1836	0.874
1837	1.031
1838	0.939
1839	1.36
1840	1.242
1841	1.092
1842	0.88
1843	0.997
1844	0.74
1845	0.669
1846	0.693
1847	0.785
1848	0.486
1849	0.692
1850	0.689
1851	0.581
1852	0.664
1853	0.716
1854	0.613
1855	0.53
1856	0.74
1857	0.769
1858	0.467
1859	0.75
1860	0.727
1861	0.884
1862	0.806
1863	0.863
1864	0.99
1865	0.948
1866	1.17
1867	1.028
1868	1.3
1869	1.239
1870	1.16
1871	1.174
1872	0.869
1873	0.872
1874	0.706
1875	0.978
1876	1.042
1877	0.962
1878	1.249
1879	0.949
1880	1.035
1881	0.715
1882	0.789
1883	0.932
1884	0.999
1885	1.075
1886	0.971
1887	0.882
1888	1.175
1889	1.452
1890	1.208
1891	1.522
1892	1.695
1893	1.244
1894	1.233
1895	1.441
1896	1.102
1897	1.316
1898	1.33
1899	1.018
1900	1.327
1901	1.225
1902	1.07
1903	0.919
1904	0.588
1905	0.944
1906	1.255
1907	1.327
1908	1.237
1909	1.572
1910	1.089
1911	1.122
1912	1.045
1913	1.026
1914	0.837
1915	1.267
1916	0.727
1917	1.244
1918	1.285
1919	1.004
1920	0.971
1921	0.813
1922	0.853
1923	0.835
1924	0.854
1925	1.055
1926	0.973
1927	1.563
1928	1.431
1929	1.674
1930	1.714
1931	1.652
1932	1.492
1933	1.283
1934	1.116
1935	0.964
1936	0.817
1937	0.576
1938	0.692
1939	0.703
1940	0.831
1941	0.511
1942	0.749
1943	0.6
1944	0.601
1945	0.647
1946	0.571
1947	0.464
1948	0.764
1949	0.704
1950	0.752
1951	0.584
1952	0.667
1953	0.713
1954	0.839
1955	0.758
1956	1.036
1957	0.854
1958	0.78
1959	1.046
1960	0.948
1961	1.018
1962	0.46
1963	0.782
1964	0.766
1965	0.927
1966	0.597
1967	0.443
1968	0.86
1969	0.782
1970	0.739
1971	0.738
1972	0.986
1973	1.09
1974	1.264
1975	0.919
1976	1.066
1977	0.855
1978	0.873
1979	0.934
1980	0.991
1981	1.234
1982	0.939
1983	1.141
1984	1.189
1985	1.019
1986	0.8
1987	1.046
1988	0.862
1989	1.154
1990	0.984
1991	1.135
1992	0.712
1993	1.156