# asia_russ032w - Nadim River B - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/4550
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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_russ032w - Nadim River B - 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: Nadim River B
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 66.13
#	Southernmost_Latitude: 66.13
#	Easternmost_Longitude: 71.67
#	Westernmost_Longitude: 71.67
#	Elevation: 80 m
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# Data_Collection
#	Collection_Name: asia_russ032wB
#	Earliest_Year: 1775
#	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":"6.39511842309","T2":"19.5481725521","M1":"0.0226171221487","M2":"0.252083291456"}}
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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
1775	1.16
1776	0.557
1777	1.009
1778	1.013
1779	1.142
1780	1.19
1781	1.108
1782	1.454
1783	0.758
1784	1.528
1785	0.894
1786	0.88
1787	0.611
1788	0.572
1789	0.799
1790	0.867
1791	0.802
1792	0.813
1793	1.369
1794	1.116
1795	1.302
1796	1.155
1797	1.291
1798	1.064
1799	1.184
1800	1.148
1801	1.174
1802	0.797
1803	0.86
1804	0.846
1805	1.155
1806	0.896
1807	1.092
1808	1.113
1809	1.246
1810	1.489
1811	1.288
1812	1.151
1813	0.952
1814	1.025
1815	0.949
1816	0.671
1817	0.872
1818	0.523
1819	0.78
1820	0.884
1821	0.687
1822	0.72
1823	1.09
1824	0.78
1825	0.65
1826	0.933
1827	1.147
1828	0.702
1829	1.594
1830	0.839
1831	0.765
1832	1.1
1833	0.963
1834	1.324
1835	1.766
1836	1.28
1837	1.261
1838	1.452
1839	1.16
1840	1.42
1841	0.739
1842	0.84
1843	0.586
1844	0.925
1845	1.087
1846	0.803
1847	0.955
1848	0.978
1849	0.979
1850	0.965
1851	1.297
1852	1.017
1853	1.32
1854	1.022
1855	0.921
1856	1.359
1857	1.154
1858	1.222
1859	1.213
1860	0.915
1861	1.145
1862	0.826
1863	0.906
1864	0.674
1865	0.882
1866	0.687
1867	0.637
1868	0.687
1869	0.74
1870	1.051
1871	0.877
1872	1.004
1873	1.281
1874	1.153
1875	1.11
1876	0.831
1877	0.96
1878	1.015
1879	0.953
1880	1.243
1881	0.637
1882	0.661
1883	1.023
1884	0.88
1885	0.916
1886	0.885
1887	0.839
1888	0.671
1889	0.681
1890	0.802
1891	0.707
1892	0.828
1893	0.616
1894	0.822
1895	0.567
1896	0.798
1897	0.931
1898	1.204
1899	0.485
1900	1.039
1901	0.766
1902	1.036
1903	0.606
1904	0.983
1905	1.066
1906	1.268
1907	0.889
1908	1.017
1909	1.345
1910	1.104
1911	1.641
1912	1.207
1913	1.582
1914	1.199
1915	1.549
1916	0.901
1917	1.316
1918	1.65
1919	1.113
1920	1.365
1921	1.286
1922	1.27
1923	1.484
1924	1.186
1925	1.314
1926	1.689
1927	1.31
1928	1.41
1929	1.443
1930	1.12
1931	1.031
1932	0.595
1933	0.669
1934	0.528
1935	0.781
1936	0.686
1937	0.818
1938	0.882
1939	0.898
1940	0.815
1941	0.765
1942	1.33
1943	1.018
1944	1.127
1945	1.255
1946	0.94
1947	0.752
1948	1.068
1949	0.776
1950	1.044
1951	0.668
1952	0.924
1953	1.001
1954	1.044
1955	1.09
1956	1.304
1957	1.022
1958	1.006
1959	1.251
1960	0.877
1961	0.822
1962	0.623
1963	0.815
1964	0.902
1965	0.978
1966	0.698
1967	1.034
1968	0.685
1969	0.947
1970	0.639
1971	0.647
1972	0.731
1973	0.845
1974	0.784
1975	0.659
1976	0.687
1977	0.865
1978	0.82
1979	0.928
1980	0.674
1981	0.9
1982	0.706
1983	0.937
1984	0.955
1985	0.677
1986	0.818
1987	0.89
1988	0.83
1989	1.027
1990	0.819