# asia_russ038w - Kotuy River - 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/4474
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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_russ038w - Kotuy River - 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: Kotuy River
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 70.27
#	Southernmost_Latitude: 70.27
#	Easternmost_Longitude: 103.52
#	Westernmost_Longitude: 103.52
#	Elevation: 130 m
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# Data_Collection
#	Collection_Name: asia_russ038wB
#	Earliest_Year: 1776
#	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":"4.28115629801","T2":"19.4922572544","M1":"0.0217939647651","M2":"0.178637298425"}}
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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
1776	0.925
1777	1.065
1778	1.096
1779	0.904
1780	1.043
1781	0.719
1782	0.92
1783	0.549
1784	1.235
1785	0.92
1786	0.964
1787	0.826
1788	0.608
1789	0.958
1790	0.701
1791	0.743
1792	0.301
1793	0.714
1794	0.935
1795	0.984
1796	0.856
1797	0.834
1798	0.659
1799	1.057
1800	0.557
1801	0.846
1802	0.932
1803	1.092
1804	0.759
1805	0.931
1806	1.135
1807	0.436
1808	1.022
1809	0.805
1810	0.861
1811	0.848
1812	0.45
1813	0.683
1814	0.896
1815	0.497
1816	0.827
1817	1.26
1818	1.626
1819	0.689
1820	1.071
1821	1.059
1822	1.014
1823	1.15
1824	0.804
1825	0.478
1826	1.141
1827	1.19
1828	1.28
1829	1.35
1830	1.21
1831	1.499
1832	1.034
1833	0.705
1834	1.316
1835	1.114
1836	0.86
1837	0.753
1838	0.867
1839	0.372
1840	1.284
1841	1.455
1842	1.039
1843	1.127
1844	0.986
1845	0.798
1846	0.898
1847	0.629
1848	1.012
1849	0.59
1850	0.848
1851	0.739
1852	1.129
1853	0.826
1854	0.524
1855	0.739
1856	0.861
1857	0.808
1858	1.086
1859	0.938
1860	1.458
1861	1.044
1862	1.152
1863	1.333
1864	1.36
1865	1.482
1866	0.975
1867	1.096
1868	1.454
1869	0.56
1870	1.806
1871	1.144
1872	1.289
1873	0.854
1874	0.96
1875	1.295
1876	0.904
1877	1.264
1878	1.389
1879	0.884
1880	1.171
1881	1.158
1882	1.095
1883	1.207
1884	0.979
1885	1.048
1886	1.228
1887	1.004
1888	1.177
1889	0.695
1890	0.76
1891	1.264
1892	1.283
1893	1.234
1894	1.199
1895	0.572
1896	1.348
1897	1.057
1898	0.592
1899	1.061
1900	0.739
1901	1.137
1902	0.988
1903	1.487
1904	0.846
1905	0.676
1906	0.973
1907	0.548
1908	1.585
1909	1.024
1910	0.616
1911	0.703
1912	0.649
1913	0.77
1914	1.207
1915	0.98
1916	1.293
1917	0.945
1918	0.965
1919	1.097
1920	0.918
1921	1.107
1922	0.879
1923	0.794
1924	1.129
1925	0.788
1926	1.18
1927	0.645
1928	1.266
1929	0.879
1930	1.159
1931	0.999
1932	1.135
1933	1.013
1934	1.676
1935	1.472
1936	1.33
1937	1.102
1938	1.282
1939	1.252
1940	1.372
1941	1.639
1942	1.224
1943	1.147
1944	1.037
1945	1.156
1946	1.242
1947	0.916
1948	1.45
1949	0.834
1950	1.202
1951	0.963
1952	1.159
1953	1.286
1954	0.781
1955	1.231
1956	1.293
1957	1.305
1958	1.27
1959	1.5
1960	0.775
1961	0.756
1962	0.725
1963	0.416
1964	0.863
1965	0.84
1966	0.756
1967	1.142
1968	0.777
1969	1.091
1970	1.078
1971	0.862
1972	0.622
1973	0.531
1974	0.302
1975	0.795
1976	0.697
1977	0.745
1978	0.734
1979	0.872
1980	0.417
1981	0.37
1982	0.647
1983	0.577
1984	0.692
1985	0.341
1986	1.085
1987	0.669
1988	0.462
1989	0.245
1990	0.978