# asia_russ181 - VenehjÃÂ¤rvi - 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/4019
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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_russ181 - VenehjÃÂ¤rvi - 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: VenehjÃÂ¤rvi
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 64.95
#	Southernmost_Latitude: 64.95
#	Easternmost_Longitude: 30.2
#	Westernmost_Longitude: 30.2
#	Elevation: nan m
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# Data_Collection
#	Collection_Name: asia_russ181B
#	Earliest_Year: 1775
#	Most_Recent_Year: 2001
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.46047095728","T2":"14.0575475003","M1":"0.0230010415075","M2":"0.530875130572"}}
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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
1775	0.945
1776	0.634
1777	0.576
1778	0.952
1779	0.869
1780	0.776
1781	0.693
1782	0.743
1783	0.675
1784	0.793
1785	0.707
1786	0.646
1787	0.55
1788	0.561
1789	0.537
1790	0.493
1791	0.749
1792	0.879
1793	1.102
1794	0.966
1795	0.842
1796	0.783
1797	0.794
1798	0.833
1799	0.803
1800	0.75
1801	0.893
1802	0.928
1803	0.784
1804	0.894
1805	0.98
1806	0.684
1807	0.788
1808	0.818
1809	0.982
1810	0.821
1811	0.829
1812	0.92
1813	0.842
1814	0.639
1815	0.764
1816	0.78
1817	0.953
1818	1.009
1819	1.16
1820	0.634
1821	0.826
1822	1.088
1823	1.141
1824	1.157
1825	1.24
1826	1.49
1827	1.327
1828	1.062
1829	1.206
1830	1.107
1831	1.176
1832	0.962
1833	0.964
1834	1.052
1835	0.823
1836	0.839
1837	0.844
1838	0.785
1839	0.724
1840	1.07
1841	1.196
1842	1.332
1843	0.973
1844	0.902
1845	1.085
1846	1.202
1847	1.025
1848	1.16
1849	1.345
1850	1.266
1851	1.245
1852	1.094
1853	1.006
1854	1.125
1855	0.98
1856	0.899
1857	0.922
1858	0.933
1859	0.804
1860	0.876
1861	0.989
1862	0.639
1863	0.792
1864	0.905
1865	0.997
1866	0.836
1867	0.593
1868	0.863
1869	0.891
1870	1.132
1871	0.896
1872	0.973
1873	0.936
1874	1.141
1875	1.287
1876	1.093
1877	1.224
1878	1.012
1879	0.936
1880	0.874
1881	0.735
1882	1.208
1883	0.772
1884	0.864
1885	1.004
1886	0.957
1887	1.178
1888	1.132
1889	1.145
1890	1.453
1891	1.262
1892	1.172
1893	1.26
1894	1.075
1895	0.778
1896	0.912
1897	0.917
1898	1.096
1899	0.86
1900	1.01
1901	1.178
1902	0.828
1903	0.769
1904	1.024
1905	0.863
1906	1.04
1907	0.839
1908	0.932
1909	0.834
1910	0.912
1911	1.125
1912	1.136
1913	0.946
1914	0.914
1915	1.081
1916	0.98
1917	0.917
1918	0.878
1919	0.961
1920	1.107
1921	1.101
1922	1.309
1923	1.249
1924	1.358
1925	1.334
1926	0.932
1927	1.042
1928	0.931
1929	1.085
1930	1.216
1931	1.063
1932	1.032
1933	0.748
1934	1.179
1935	0.891
1936	1.081
1937	0.981
1938	0.677
1939	0.763
1940	0.77
1941	0.659
1942	0.562
1943	0.69
1944	0.67
1945	0.688
1946	0.645
1947	0.641
1948	0.755
1949	0.888
1950	1.171
1951	0.98
1952	0.824
1953	1.128
1954	1.398
1955	1.085
1956	0.861
1957	1.286
1958	1.005
1959	1.144
1960	0.902
1961	0.715
1962	0.777
1963	0.923
1964	1.255
1965	0.762
1966	0.722
1967	1.203
1968	0.969
1969	0.887
1970	0.801
1971	0.795
1972	0.889
1973	1.058
1974	0.923
1975	1.267
1976	1.336
1977	1.075
1978	1.127
1979	1.396
1980	1.018
1981	1.043
1982	0.965
1983	1.139
1984	1.235
1985	1.038
1986	1.067
1987	1.045
1988	1.189
1989	1.19
1990	1.155
1991	0.971
1992	0.898
1993	0.98
1994	0.79
1995	0.878
1996	0.894
1997	0.863
1998	0.796
1999	0.777
2000	1.024
2001	1.002