# asia_russ056w - Charijaga - 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/4376
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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_russ056w - Charijaga - 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:
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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: 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_russ056wB
#	Earliest_Year: 1809
#	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":"6.67818141385","T2":"19.3114465781","M1":"0.0224255308152","M2":"0.247684923728"}}
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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
1809	0.835
1810	0.582
1811	0.698
1812	0.852
1813	0.723
1814	0.685
1815	0.673
1816	0.514
1817	0.473
1818	0.536
1819	0.526
1820	0.57
1821	0.428
1822	0.416
1823	0.688
1824	0.646
1825	0.896
1826	0.959
1827	1.236
1828	1.14
1829	1.457
1830	1.518
1831	1.363
1832	1.569
1833	1.413
1834	0.994
1835	1.231
1836	0.933
1837	1.07
1838	0.912
1839	1.176
1840	1.396
1841	0.929
1842	0.875
1843	0.772
1844	0.887
1845	0.93
1846	0.889
1847	0.931
1848	0.836
1849	1.046
1850	0.833
1851	1.133
1852	0.846
1853	0.969
1854	1.235
1855	0.971
1856	1.392
1857	1.062
1858	1.083
1859	1.38
1860	0.854
1861	1.065
1862	0.686
1863	0.652
1864	0.912
1865	0.943
1866	1.042
1867	0.849
1868	0.795
1869	0.981
1870	0.97
1871	1.189
1872	1.045
1873	1.15
1874	1.05
1875	1.103
1876	1.068
1877	1.16
1878	1.381
1879	1.092
1880	1.357
1881	1.123
1882	0.967
1883	0.969
1884	1.226
1885	1.289
1886	1.212
1887	1.258
1888	0.732
1889	0.734
1890	0.991
1891	0.833
1892	1.362
1893	1.092
1894	0.956
1895	0.78
1896	0.64
1897	0.532
1898	0.771
1899	0.718
1900	0.789
1901	0.831
1902	0.945
1903	0.515
1904	0.935
1905	0.83
1906	0.82
1907	0.924
1908	1.051
1909	1.082
1910	0.658
1911	1.146
1912	0.893
1913	0.976
1914	0.841
1915	1.094
1916	1.013
1917	1.181
1918	1.154
1919	1.129
1920	0.953
1921	0.887
1922	1.124
1923	1.022
1924	0.862
1925	1.055
1926	0.938
1927	1.262
1928	1.354
1929	1.142
1930	1.006
1931	1.163
1932	0.7
1933	1.054
1934	0.935
1935	0.912
1936	1.019
1937	0.837
1938	1.114
1939	0.867
1940	1.118
1941	0.634
1942	1.011
1943	0.778
1944	0.768
1945	0.866
1946	0.782
1947	0.756
1948	0.896
1949	0.917
1950	0.657
1951	0.965
1952	1.292
1953	1.469
1954	1.612
1955	0.964
1956	1.19
1957	1.094
1958	1.067
1959	1.211
1960	0.906
1961	1.146
1962	0.645
1963	0.809
1964	0.93
1965	1.118
1966	0.898
1967	0.559
1968	0.655
1969	0.899
1970	0.931
1971	0.843
1972	0.932
1973	0.718
1974	0.982
1975	0.227
1976	0.95
1977	0.854
1978	0.903
1979	1.214
1980	0.887
1981	1.244
1982	0.662
1983	1.262
1984	1.43
1985	1.009
1986	0.853
1987	1.137
1988	1.079
1989	0.861
1990	1.016