# asia_russ072w - Nyuchpas - 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/4570
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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_russ072w - Nyuchpas - 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: Nyuchpas
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 60.7
#	Southernmost_Latitude: 60.7
#	Easternmost_Longitude: 51.38
#	Westernmost_Longitude: 51.38
#	Elevation: 160 m
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# Data_Collection
#	Collection_Name: asia_russ072wB
#	Earliest_Year: 1741
#	Most_Recent_Year: 1991
#	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":"3.88496746351","T2":"13.9392284831","M1":"0.023358565426","M2":"0.553528127618"}}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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)
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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
1741	0.96
1742	0.961
1743	1.189
1744	1.095
1745	0.984
1746	1.115
1747	1.028
1748	1.049
1749	0.918
1750	0.553
1751	0.647
1752	0.796
1753	0.817
1754	0.852
1755	0.669
1756	0.791
1757	0.816
1758	0.838
1759	0.766
1760	0.817
1761	0.816
1762	1.199
1763	0.714
1764	0.706
1765	0.733
1766	0.509
1767	0.781
1768	0.741
1769	0.726
1770	0.868
1771	0.894
1772	0.661
1773	0.596
1774	0.684
1775	0.699
1776	0.623
1777	0.746
1778	0.404
1779	0.479
1780	0.652
1781	0.867
1782	0.645
1783	0.74
1784	0.806
1785	0.794
1786	0.849
1787	0.906
1788	1.078
1789	0.886
1790	0.859
1791	0.745
1792	0.686
1793	0.707
1794	0.672
1795	0.618
1796	0.673
1797	0.568
1798	0.83
1799	0.817
1800	0.828
1801	0.671
1802	0.629
1803	0.868
1804	0.807
1805	0.93
1806	0.733
1807	0.807
1808	0.661
1809	0.926
1810	0.7
1811	0.706
1812	0.619
1813	0.652
1814	0.561
1815	0.594
1816	0.497
1817	0.556
1818	0.586
1819	0.656
1820	0.557
1821	0.388
1822	0.536
1823	0.915
1824	1.078
1825	1.439
1826	1.483
1827	0.961
1828	1.113
1829	1.502
1830	1.047
1831	1.088
1832	1.25
1833	1.328
1834	1.062
1835	0.831
1836	0.775
1837	0.893
1838	0.898
1839	1.133
1840	0.79
1841	1.095
1842	1.057
1843	1.208
1844	1.291
1845	1.463
1846	1.9
1847	1.45
1848	1.36
1849	1.326
1850	1.414
1851	1.477
1852	1.235
1853	1.136
1854	1.402
1855	1.428
1856	1.981
1857	1.11
1858	1.07
1859	1.328
1860	1.476
1861	1.552
1862	1.095
1863	1.075
1864	1.008
1865	0.871
1866	1.137
1867	1.036
1868	1.272
1869	1.325
1870	1.422
1871	1.185
1872	1.157
1873	1.041
1874	0.798
1875	0.92
1876	0.983
1877	0.822
1878	1.392
1879	1.305
1880	1.039
1881	0.655
1882	0.873
1883	1.003
1884	1.166
1885	1.156
1886	0.836
1887	1.025
1888	1.183
1889	1.575
1890	1.33
1891	1.274
1892	1.856
1893	1.147
1894	1.27
1895	0.904
1896	1.114
1897	1.312
1898	1.459
1899	1.072
1900	1.123
1901	1.094
1902	0.972
1903	0.796
1904	0.569
1905	0.893
1906	1.192
1907	1.497
1908	1.042
1909	1.135
1910	0.711
1911	0.888
1912	0.97
1913	0.869
1914	0.838
1915	0.932
1916	0.678
1917	0.693
1918	0.848
1919	0.637
1920	0.434
1921	0.571
1922	0.768
1923	0.682
1924	0.868
1925	0.96
1926	1.071
1927	1.415
1928	0.951
1929	0.953
1930	1.087
1931	1.135
1932	1.035
1933	1.101
1934	0.915
1935	0.824
1936	0.842
1937	1.007
1938	0.969
1939	1.022
1940	1.094
1941	0.813
1942	0.9
1943	0.843
1944	0.888
1945	1.072
1946	1.485
1947	1.126
1948	1.246
1949	1.278
1950	1.175
1951	1.206
1952	0.921
1953	0.976
1954	1.0
1955	0.785
1956	0.918
1957	0.659
1958	0.464
1959	0.692
1960	0.777
1961	0.737
1962	0.532
1963	0.419
1964	0.751
1965	0.732
1966	0.793
1967	0.693
1968	0.846
1969	0.349
1970	0.537
1971	0.505
1972	0.642
1973	0.485
1974	0.601
1975	0.614
1976	0.94
1977	0.951
1978	1.206
1979	1.321
1980	1.329
1981	1.314
1982	0.768
1983	0.82
1984	1.252
1985	0.929
1986	0.734
1987	1.079
1988	0.991
1989	0.817
1990	0.615
1991	1.087