# asia_russ100w - Polui River Head - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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/4600
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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_russ100w - Polui River Head - 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: Polui River Head
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 65.3
#	Southernmost_Latitude: 65.3
#	Easternmost_Longitude: 69.68
#	Westernmost_Longitude: 69.68
#	Elevation: 35 m
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# Data_Collection
#	Collection_Name: asia_russ100wB
#	Earliest_Year: 1757
#	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":"6.3467941627","T2":"16.6498292826","M1":"0.0219959109714","M2":"0.28115939478"}}
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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
1757	0.695
1758	0.684
1759	0.644
1760	0.65
1761	0.785
1762	1.018
1763	1.002
1764	0.719
1765	1.0
1766	0.856
1767	1.091
1768	0.895
1769	0.882
1770	0.299
1771	0.681
1772	0.882
1773	0.669
1774	0.929
1775	0.578
1776	0.477
1777	0.934
1778	0.93
1779	0.763
1780	0.874
1781	0.682
1782	0.841
1783	0.49
1784	0.717
1785	0.63
1786	0.613
1787	0.965
1788	0.541
1789	0.613
1790	0.925
1791	0.947
1792	0.909
1793	0.929
1794	1.191
1795	1.048
1796	0.899
1797	1.05
1798	1.085
1799	0.875
1800	1.058
1801	0.994
1802	0.971
1803	0.805
1804	0.774
1805	0.892
1806	0.846
1807	1.314
1808	1.235
1809	1.13
1810	0.892
1811	0.911
1812	0.762
1813	0.877
1814	0.809
1815	0.618
1816	0.336
1817	0.597
1818	0.125
1819	0.449
1820	0.566
1821	0.685
1822	0.732
1823	0.951
1824	1.125
1825	0.819
1826	0.621
1827	1.085
1828	0.491
1829	0.628
1830	0.718
1831	0.577
1832	0.788
1833	0.802
1834	0.834
1835	1.146
1836	0.903
1837	0.739
1838	0.682
1839	1.058
1840	1.152
1841	1.083
1842	1.058
1843	1.15
1844	1.254
1845	1.356
1846	1.376
1847	1.579
1848	1.511
1849	1.873
1850	1.694
1851	1.035
1852	1.249
1853	1.349
1854	0.984
1855	0.996
1856	1.483
1857	1.133
1858	1.188
1859	1.373
1860	1.294
1861	1.202
1862	0.729
1863	0.64
1864	1.16
1865	0.785
1866	0.883
1867	0.743
1868	1.189
1869	1.013
1870	1.054
1871	1.275
1872	1.049
1873	0.604
1874	1.243
1875	1.364
1876	1.198
1877	1.038
1878	1.511
1879	1.328
1880	1.335
1881	1.187
1882	0.588
1883	0.63
1884	0.755
1885	0.762
1886	0.921
1887	0.809
1888	0.738
1889	0.479
1890	0.527
1891	0.525
1892	0.254
1893	0.311
1894	0.169
1895	0.413
1896	0.359
1897	0.69
1898	0.723
1899	0.414
1900	0.882
1901	0.788
1902	0.846
1903	0.576
1904	0.865
1905	0.98
1906	0.959
1907	0.992
1908	1.1
1909	1.291
1910	1.114
1911	1.246
1912	0.893
1913	1.105
1914	0.783
1915	0.798
1916	0.917
1917	0.768
1918	0.99
1919	0.834
1920	0.83
1921	0.919
1922	1.091
1923	0.982
1924	1.207
1925	1.2
1926	1.045
1927	1.424
1928	1.449
1929	1.271
1930	1.319
1931	1.271
1932	1.057
1933	0.88
1934	0.945
1935	1.035
1936	1.239
1937	1.233
1938	1.359
1939	1.477
1940	1.13
1941	0.712
1942	1.216
1943	1.614
1944	1.56
1945	1.419
1946	1.248
1947	0.985
1948	1.345
1949	1.21
1950	1.078
1951	1.167
1952	1.345
1953	0.991
1954	1.501
1955	1.326
1956	1.475
1957	1.249
1958	1.193
1959	1.36
1960	1.006
1961	1.148
1962	0.87
1963	1.239
1964	1.065
1965	1.049
1966	0.835
1967	1.056
1968	1.032
1969	0.846
1970	0.583
1971	0.607
1972	0.76
1973	0.576
1974	0.641
1975	0.592
1976	0.532
1977	0.579
1978	0.776
1979	0.455
1980	0.591
1981	0.7
1982	0.835
1983	0.788
1984	0.7
1985	0.633
1986	0.769
1987	0.804
1988	0.994
1989	0.962
1990	0.945
1991	0.931