# asia_russ053w - Zhaschiviersk - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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.
#
#
# 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/4748
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: asia_russ053w - Zhaschiviersk - 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.
#--------------------
#	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: Zhaschiviersk
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 67.45
#	Southernmost_Latitude: 67.45
#	Easternmost_Longitude: 142.62
#	Westernmost_Longitude: 142.62
#	Elevation: 100 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ053wB
#	Earliest_Year: 1643
#	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":"3.84671182633","T2":"17.9080981569","M1":"0.023327184735","M2":"0.300859962859"}}
#--------------------
# Species
#	Species_Name: Siberian larch
#	Species_Code: LASI
#--------------------
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1643	0.413
1644	0.934
1645	0.877
1646	0.93
1647	1.199
1648	0.848
1649	0.701
1650	0.548
1651	0.545
1652	0.83
1653	0.87
1654	1.134
1655	1.144
1656	0.89
1657	0.774
1658	0.933
1659	0.797
1660	0.964
1661	1.03
1662	0.997
1663	1.077
1664	1.439
1665	1.53
1666	1.495
1667	1.527
1668	1.414
1669	1.452
1670	1.184
1671	0.72
1672	1.028
1673	0.928
1674	1.015
1675	0.741
1676	0.507
1677	0.474
1678	0.348
1679	0.377
1680	0.557
1681	0.517
1682	0.713
1683	0.913
1684	0.878
1685	0.92
1686	0.778
1687	0.901
1688	0.938
1689	1.332
1690	1.852
1691	1.816
1692	1.446
1693	1.517
1694	1.413
1695	0.844
1696	1.387
1697	1.674
1698	1.055
1699	1.387
1700	1.19
1701	0.972
1702	0.928
1703	1.122
1704	1.611
1705	1.265
1706	1.202
1707	0.985
1708	1.163
1709	1.142
1710	1.087
1711	1.096
1712	1.063
1713	1.155
1714	0.854
1715	1.039
1716	1.053
1717	0.933
1718	0.641
1719	1.155
1720	1.367
1721	1.43
1722	1.311
1723	1.216
1724	0.914
1725	0.945
1726	1.309
1727	1.365
1728	0.932
1729	1.141
1730	0.592
1731	0.679
1732	0.922
1733	0.679
1734	0.749
1735	0.784
1736	0.776
1737	0.566
1738	0.549
1739	0.827
1740	0.504
1741	0.587
1742	0.645
1743	0.584
1744	0.536
1745	0.93
1746	1.066
1747	0.932
1748	0.879
1749	0.91
1750	1.039
1751	1.008
1752	1.02
1753	1.048
1754	0.732
1755	1.379
1756	1.158
1757	1.55
1758	1.097
1759	1.12
1760	1.215
1761	0.808
1762	0.627
1763	0.926
1764	0.39
1765	0.784
1766	0.709
1767	0.561
1768	0.577
1769	0.665
1770	0.429
1771	0.761
1772	0.587
1773	0.649
1774	0.951
1775	0.85
1776	0.806
1777	0.564
1778	0.61
1779	0.584
1780	0.717
1781	0.641
1782	1.068
1783	1.228
1784	1.141
1785	1.175
1786	1.176
1787	1.031
1788	0.922
1789	1.338
1790	1.09
1791	0.828
1792	1.147
1793	1.076
1794	0.858
1795	1.186
1796	0.997
1797	0.75
1798	1.219
1799	1.161
1800	0.985
1801	0.729
1802	1.061
1803	0.876
1804	0.846
1805	1.331
1806	1.154
1807	1.284
1808	0.954
1809	1.05
1810	0.989
1811	0.892
1812	0.652
1813	0.558
1814	0.777
1815	0.414
1816	0.735
1817	0.424
1818	0.121
1819	0.76
1820	0.657
1821	0.734
1822	0.425
1823	0.505
1824	0.823
1825	0.783
1826	0.984
1827	0.762
1828	0.742
1829	0.758
1830	0.731
1831	0.777
1832	0.397
1833	0.661
1834	0.705
1835	0.737
1836	0.916
1837	0.494
1838	0.545
1839	0.439
1840	0.489
1841	0.687
1842	0.462
1843	0.644
1844	0.761
1845	0.624
1846	0.656
1847	0.497
1848	0.565
1849	0.536
1850	0.411
1851	0.406
1852	0.503
1853	0.603
1854	0.47
1855	0.451
1856	0.454
1857	0.544
1858	0.726
1859	0.604
1860	0.757
1861	0.817
1862	0.745
1863	0.286
1864	0.578
1865	0.759
1866	0.874
1867	0.92
1868	0.894
1869	0.855
1870	0.877
1871	0.799
1872	1.168
1873	1.496
1874	1.286
1875	1.201
1876	1.153
1877	1.107
1878	1.3
1879	0.685
1880	0.825
1881	0.905
1882	0.587
1883	1.254
1884	0.909
1885	1.053
1886	1.219
1887	0.931
1888	0.836
1889	0.904
1890	1.243
1891	1.906
1892	1.566
1893	2.114
1894	1.953
1895	1.543
1896	1.027
1897	1.04
1898	1.537
1899	1.995
1900	1.858
1901	1.625
1902	1.619
1903	1.577
1904	1.005
1905	0.937
1906	1.33
1907	0.995
1908	1.131
1909	1.307
1910	1.399
1911	1.152
1912	1.334
1913	1.158
1914	1.39
1915	1.362
1916	1.416
1917	1.107
1918	0.905
1919	1.36
1920	1.482
1921	1.4
1922	1.215
1923	1.262
1924	1.226
1925	1.307
1926	1.164
1927	1.096
1928	1.207
1929	1.478
1930	1.195
1931	0.844
1932	0.963
1933	1.025
1934	0.697
1935	0.882
1936	0.457
1937	1.321
1938	1.503
1939	1.447
1940	1.335
1941	0.789
1942	1.283
1943	0.91
1944	0.945
1945	0.629
1946	0.728
1947	0.631
1948	0.821
1949	0.852
1950	0.788
1951	0.848
1952	0.861
1953	1.015
1954	0.963
1955	0.955
1956	0.852
1957	0.812
1958	0.958
1959	0.932
1960	1.084
1961	1.081
1962	0.966
1963	0.891
1964	0.977
1965	0.97
1966	0.683
1967	0.902
1968	0.808
1969	0.688
1970	0.769
1971	0.902
1972	0.543
1973	1.038
1974	0.656
1975	0.935
1976	0.871
1977	1.046
1978	1.046
1979	0.578
1980	0.758
1981	0.723
1982	0.577
1983	0.909
1984	0.738
1985	0.795
1986	0.694
1987	0.726
1988	0.576
1989	0.839
1990	0.7
1991	0.704