# asia_russ080w - Novoja Rieka - 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/4566
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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_russ080w - Novoja Rieka - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# 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: Novoja Rieka
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 72.45
#	Southernmost_Latitude: 72.45
#	Easternmost_Longitude: 101.75
#	Westernmost_Longitude: 101.75
#	Elevation: 70 m
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# Data_Collection
#	Collection_Name: asia_russ080wB
#	Earliest_Year: 1733
#	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":"5.75541769027","T2":"19.68690558","M1":"0.0221761621172","M2":"0.164792957678"}}
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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
1733	0.74
1734	1.08
1735	0.721
1736	0.927
1737	0.774
1738	0.755
1739	1.327
1740	0.991
1741	0.987
1742	0.275
1743	1.013
1744	1.797
1745	0.543
1746	1.505
1747	2.24
1748	1.854
1749	1.261
1750	0.676
1751	0.851
1752	1.229
1753	0.801
1754	0.592
1755	0.349
1756	0.434
1757	1.099
1758	1.338
1759	1.197
1760	0.332
1761	0.766
1762	0.703
1763	1.424
1764	1.055
1765	1.815
1766	1.402
1767	1.802
1768	1.224
1769	2.047
1770	0.697
1771	0.927
1772	0.515
1773	0.409
1774	1.152
1775	1.193
1776	1.367
1777	1.741
1778	1.568
1779	0.966
1780	0.837
1781	0.661
1782	1.434
1783	0.666
1784	1.234
1785	1.157
1786	0.331
1787	1.402
1788	1.093
1789	1.536
1790	1.461
1791	1.443
1792	1.198
1793	1.734
1794	2.007
1795	1.492
1796	1.379
1797	1.097
1798	0.456
1799	0.334
1800	0.399
1801	1.157
1802	1.282
1803	1.109
1804	0.957
1805	1.266
1806	1.681
1807	0.523
1808	1.498
1809	1.273
1810	0.961
1811	0.77
1812	0.29
1813	0.235
1814	0.382
1815	0.413
1816	0.323
1817	0.769
1818	0.806
1819	0.645
1820	0.373
1821	0.696
1822	1.196
1823	0.527
1824	0.628
1825	0.196
1826	0.319
1827	0.519
1828	0.92
1829	0.788
1830	0.559
1831	0.874
1832	0.659
1833	0.541
1834	1.216
1835	1.686
1836	0.909
1837	0.203
1838	0.498
1839	0.373
1840	0.808
1841	1.08
1842	0.944
1843	0.896
1844	0.611
1845	0.796
1846	0.897
1847	0.298
1848	0.64
1849	0.457
1850	0.358
1851	0.314
1852	1.201
1853	1.22
1854	1.375
1855	1.306
1856	1.441
1857	1.701
1858	1.179
1859	1.178
1860	1.751
1861	1.431
1862	1.139
1863	1.145
1864	1.293
1865	1.748
1866	0.365
1867	0.723
1868	1.663
1869	0.351
1870	0.667
1871	0.598
1872	1.088
1873	0.788
1874	0.519
1875	1.135
1876	0.7
1877	1.42
1878	1.71
1879	1.12
1880	1.491
1881	0.972
1882	0.864
1883	1.23
1884	0.262
1885	0.037
1886	0.117
1887	0.774
1888	0.849
1889	0.334
1890	0.438
1891	0.938
1892	0.842
1893	0.492
1894	1.34
1895	0.766
1896	0.967
1897	1.791
1898	0.89
1899	0.527
1900	0.746
1901	0.706
1902	1.01
1903	0.89
1904	0.888
1905	0.588
1906	0.482
1907	0.551
1908	1.848
1909	0.839
1910	0.681
1911	0.453
1912	0.354
1913	0.336
1914	1.0
1915	0.768
1916	1.18
1917	0.884
1918	1.248
1919	1.065
1920	1.071
1921	0.901
1922	1.019
1923	0.931
1924	1.528
1925	0.777
1926	1.573
1927	0.527
1928	1.474
1929	1.472
1930	0.97
1931	0.988
1932	1.462
1933	1.066
1934	0.91
1935	0.881
1936	1.165
1937	0.896
1938	1.11
1939	1.37
1940	1.385
1941	1.924
1942	1.748
1943	1.659
1944	1.025
1945	1.702
1946	1.392
1947	0.934
1948	1.541
1949	1.02
1950	1.082
1951	1.031
1952	0.603
1953	1.357
1954	0.648
1955	1.483
1956	1.553
1957	1.373
1958	1.293
1959	1.353
1960	0.995
1961	1.078
1962	1.021
1963	0.827
1964	1.447
1965	1.032
1966	0.998
1967	1.505
1968	0.825
1969	1.006
1970	1.119
1971	0.874
1972	0.718
1973	0.784
1974	0.538
1975	0.604
1976	0.823
1977	0.682
1978	0.814
1979	1.223
1980	0.806
1981	0.77
1982	1.027
1983	0.746
1984	1.431
1985	0.381
1986	0.953
1987	0.816
1988	0.672
1989	0.412
1990	0.583