# asia_russ060w - Leshukonskoe - 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/4506
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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_russ060w - Leshukonskoe - 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
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# 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: Leshukonskoe
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 64.92
#	Southernmost_Latitude: 64.92
#	Easternmost_Longitude: 42.5
#	Westernmost_Longitude: 42.5
#	Elevation: 70 m
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# Data_Collection
#	Collection_Name: asia_russ060wB
#	Earliest_Year: 1805
#	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":"6.0459737425","T2":"20.2324752215","M1":"0.0227125453359","M2":"0.273288980004"}}
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# Species
#	Species_Name: Siberian spruce
#	Species_Code: PCOB
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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
1805	1.474
1806	0.928
1807	0.939
1808	0.977
1809	1.212
1810	0.991
1811	1.089
1812	1.201
1813	0.857
1814	0.954
1815	0.966
1816	0.846
1817	0.656
1818	0.429
1819	0.386
1820	0.409
1821	0.306
1822	0.461
1823	0.611
1824	0.806
1825	0.871
1826	0.92
1827	0.916
1828	1.473
1829	1.799
1830	1.8
1831	1.353
1832	1.209
1833	1.504
1834	1.198
1835	1.176
1836	0.975
1837	0.935
1838	1.011
1839	1.14
1840	0.648
1841	0.763
1842	0.844
1843	1.159
1844	1.393
1845	1.193
1846	1.203
1847	1.114
1848	0.913
1849	1.122
1850	1.117
1851	1.163
1852	0.874
1853	1.039
1854	0.927
1855	1.078
1856	1.234
1857	1.024
1858	0.901
1859	0.898
1860	1.21
1861	1.308
1862	0.776
1863	0.68
1864	0.865
1865	0.494
1866	0.588
1867	0.502
1868	0.337
1869	0.504
1870	0.494
1871	0.54
1872	0.819
1873	0.838
1874	0.671
1875	0.449
1876	0.424
1877	0.533
1878	0.815
1879	0.732
1880	0.745
1881	0.656
1882	0.495
1883	0.664
1884	0.739
1885	0.779
1886	0.696
1887	0.737
1888	0.426
1889	0.684
1890	0.714
1891	0.538
1892	0.816
1893	0.685
1894	0.548
1895	0.531
1896	0.685
1897	0.525
1898	0.716
1899	0.571
1900	0.741
1901	0.927
1902	0.939
1903	0.564
1904	0.72
1905	0.876
1906	1.173
1907	1.319
1908	1.295
1909	1.058
1910	0.885
1911	1.161
1912	0.939
1913	1.373
1914	1.282
1915	1.286
1916	0.945
1917	1.253
1918	1.161
1919	1.076
1920	0.56
1921	0.736
1922	1.434
1923	1.457
1924	1.389
1925	1.685
1926	1.466
1927	1.655
1928	1.236
1929	1.692
1930	1.328
1931	1.548
1932	1.418
1933	1.72
1934	1.514
1935	1.125
1936	1.157
1937	1.417
1938	1.524
1939	1.291
1940	1.531
1941	0.962
1942	1.036
1943	1.054
1944	0.965
1945	1.13
1946	1.037
1947	1.043
1948	1.189
1949	1.114
1950	0.999
1951	1.262
1952	1.326
1953	1.579
1954	1.441
1955	0.933
1956	1.026
1957	1.182
1958	0.695
1959	1.123
1960	0.922
1961	0.774
1962	0.539
1963	0.737
1964	0.979
1965	0.885
1966	1.008
1967	0.57
1968	0.814
1969	0.792
1970	0.866
1971	0.615
1972	0.606
1973	0.747
1974	0.773
1975	0.438
1976	0.854
1977	0.972
1978	0.88
1979	1.049
1980	0.794
1981	0.839
1982	0.428
1983	0.765
1984	0.81
1985	0.645
1986	0.71
1987	0.83
1988	0.777
1989	0.65
1990	0.459
1991	0.852