# asia_russ059w - Uel-Siktjach river - Breitenmoser Tree Ring Chronology Data
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#		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/4702
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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_russ059w - Uel-Siktjach 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: Uel-Siktjach river
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 69.28
#	Southernmost_Latitude: 69.28
#	Easternmost_Longitude: 125.33
#	Westernmost_Longitude: 125.33
#	Elevation: 130 m
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# Data_Collection
#	Collection_Name: asia_russ059wB
#	Earliest_Year: 1754
#	Most_Recent_Year: 1990
#	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":"4.27790464567","T2":"14.7725131446","M1":"0.0227217250219","M2":"0.510637758433"}}
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# Species
#	Species_Name: Dahurian larch
#	Species_Code: LAGM
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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
1754	0.536
1755	0.872
1756	1.052
1757	0.798
1758	0.848
1759	1.108
1760	1.208
1761	1.074
1762	0.678
1763	1.147
1764	0.907
1765	0.541
1766	1.538
1767	1.326
1768	1.349
1769	1.2
1770	1.036
1771	0.931
1772	0.602
1773	1.052
1774	0.815
1775	0.687
1776	0.812
1777	0.866
1778	1.025
1779	0.46
1780	0.72
1781	0.547
1782	0.864
1783	0.928
1784	1.201
1785	1.333
1786	1.231
1787	1.259
1788	1.129
1789	1.662
1790	1.397
1791	0.937
1792	0.972
1793	0.926
1794	0.791
1795	0.885
1796	0.606
1797	0.858
1798	1.163
1799	0.904
1800	0.618
1801	0.715
1802	0.916
1803	0.904
1804	0.859
1805	0.77
1806	0.803
1807	0.784
1808	0.646
1809	0.855
1810	0.823
1811	0.9
1812	0.785
1813	0.596
1814	0.789
1815	0.813
1816	0.82
1817	0.599
1818	0.638
1819	0.169
1820	0.671
1821	0.758
1822	0.119
1823	0.242
1824	0.511
1825	0.388
1826	0.504
1827	0.517
1828	0.635
1829	0.81
1830	0.504
1831	0.793
1832	0.586
1833	0.45
1834	0.961
1835	0.689
1836	1.077
1837	0.715
1838	0.79
1839	0.46
1840	0.775
1841	0.905
1842	0.658
1843	0.876
1844	0.67
1845	0.862
1846	0.937
1847	1.025
1848	0.9
1849	0.823
1850	0.776
1851	0.755
1852	0.826
1853	0.9
1854	0.868
1855	0.396
1856	0.492
1857	0.361
1858	0.636
1859	0.275
1860	0.933
1861	1.162
1862	1.077
1863	0.429
1864	0.916
1865	1.133
1866	1.561
1867	1.823
1868	1.81
1869	1.861
1870	1.834
1871	1.642
1872	1.468
1873	1.128
1874	1.297
1875	1.696
1876	1.867
1877	1.553
1878	1.723
1879	1.565
1880	1.898
1881	1.565
1882	1.129
1883	1.691
1884	1.27
1885	1.235
1886	1.065
1887	1.147
1888	0.824
1889	0.828
1890	1.398
1891	1.409
1892	1.839
1893	1.728
1894	1.222
1895	1.131
1896	1.13
1897	1.221
1898	1.17
1899	0.992
1900	0.118
1901	1.207
1902	1.321
1903	1.161
1904	0.943
1905	0.657
1906	1.229
1907	1.253
1908	1.442
1909	1.109
1910	1.19
1911	0.975
1912	1.207
1913	1.316
1914	1.111
1915	1.072
1916	0.975
1917	0.959
1918	0.838
1919	0.844
1920	0.636
1921	0.763
1922	0.843
1923	0.649
1924	0.933
1925	0.567
1926	0.331
1927	0.286
1928	0.608
1929	0.734
1930	0.754
1931	0.759
1932	0.811
1933	1.131
1934	0.951
1935	0.555
1936	0.669
1937	0.415
1938	0.662
1939	0.871
1940	0.72
1941	1.063
1942	0.975
1943	1.014
1944	1.025
1945	1.087
1946	1.094
1947	0.831
1948	1.375
1949	1.471
1950	1.513
1951	1.098
1952	1.299
1953	1.127
1954	1.272
1955	1.55
1956	0.877
1957	0.593
1958	0.454
1959	0.84
1960	0.862
1961	0.965
1962	0.723
1963	0.581
1964	0.932
1965	0.863
1966	0.706
1967	0.817
1968	0.652
1969	0.923
1970	0.823
1971	0.58
1972	0.59
1973	0.803
1974	0.949
1975	1.06
1976	0.756
1977	1.066
1978	1.098
1979	1.072
1980	0.702
1981	0.995
1982	0.923
1983	0.787
1984	0.687
1985	0.637
1986	1.094
1987	0.776
1988	0.894
1989	0.649
1990	1.211