# asia_russ025w - Olenok River - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4574
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: asia_russ025w - Olenok 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.
#--------------------
#	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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: Olenok River
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 69.78
#	Southernmost_Latitude: 69.78
#	Easternmost_Longitude: 119.12
#	Westernmost_Longitude: 119.12
#	Elevation: 130 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ025wB
#	Earliest_Year: 1601
#	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":"6.75332895436","T2":"18.4275533955","M1":"0.0214682192168","M2":"0.324692595735"}}
#--------------------
# Species
#	Species_Name: Dahurian larch
#	Species_Code: LAGM
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1601	0.172
1602	0.579
1603	0.357
1604	0.674
1605	0.759
1606	0.674
1607	0.677
1608	0.767
1609	0.746
1610	0.862
1611	0.587
1612	0.593
1613	1.097
1614	0.719
1615	0.593
1616	0.759
1617	0.86
1618	0.666
1619	0.469
1620	0.581
1621	0.896
1622	0.708
1623	0.938
1624	1.095
1625	1.12
1626	0.817
1627	1.141
1628	0.849
1629	0.996
1630	1.182
1631	1.087
1632	0.633
1633	0.873
1634	0.968
1635	1.038
1636	0.932
1637	1.121
1638	1.16
1639	1.431
1640	1.341
1641	1.175
1642	0.103
1643	0.939
1644	1.47
1645	1.089
1646	0.847
1647	0.857
1648	1.292
1649	1.423
1650	0.976
1651	0.92
1652	1.5
1653	0.928
1654	1.402
1655	1.639
1656	1.443
1657	1.175
1658	1.326
1659	1.416
1660	1.395
1661	1.144
1662	1.224
1663	0.638
1664	1.456
1665	1.312
1666	1.151
1667	1.873
1668	1.098
1669	1.37
1670	1.41
1671	1.181
1672	1.301
1673	1.356
1674	1.038
1675	0.892
1676	1.258
1677	1.139
1678	1.002
1679	1.143
1680	1.104
1681	1.003
1682	1.276
1683	1.785
1684	1.153
1685	1.271
1686	1.193
1687	1.058
1688	0.751
1689	1.602
1690	1.406
1691	1.242
1692	0.962
1693	1.495
1694	1.418
1695	0.901
1696	0.494
1697	1.146
1698	0.517
1699	0.596
1700	0.559
1701	0.311
1702	0.524
1703	0.792
1704	0.616
1705	0.742
1706	0.901
1707	1.248
1708	0.92
1709	0.898
1710	0.705
1711	0.942
1712	0.641
1713	0.857
1714	0.75
1715	0.649
1716	0.829
1717	0.797
1718	0.609
1719	1.074
1720	1.066
1721	0.941
1722	0.992
1723	0.765
1724	0.772
1725	0.632
1726	1.08
1727	0.998
1728	0.23
1729	1.147
1730	0.741
1731	0.535
1732	1.219
1733	0.751
1734	0.707
1735	0.571
1736	0.695
1737	0.777
1738	0.622
1739	0.866
1740	0.705
1741	0.71
1742	0.51
1743	1.05
1744	0.824
1745	0.838
1746	0.978
1747	1.198
1748	1.049
1749	1.054
1750	1.04
1751	0.872
1752	1.134
1753	1.321
1754	0.521
1755	1.202
1756	1.181
1757	1.425
1758	0.578
1759	0.929
1760	0.833
1761	0.901
1762	0.651
1763	0.998
1764	0.553
1765	0.912
1766	1.133
1767	1.091
1768	0.885
1769	0.834
1770	0.747
1771	0.834
1772	0.623
1773	0.576
1774	0.45
1775	0.791
1776	0.732
1777	1.098
1778	0.849
1779	0.712
1780	0.776
1781	0.818
1782	1.063
1783	0.973
1784	1.119
1785	1.212
1786	0.781
1787	0.964
1788	0.509
1789	1.281
1790	1.155
1791	0.414
1792	0.918
1793	0.819
1794	0.784
1795	1.005
1796	0.679
1797	0.773
1798	1.201
1799	0.738
1800	0.203
1801	0.292
1802	0.75
1803	0.876
1804	0.712
1805	0.464
1806	1.12
1807	0.493
1808	0.646
1809	0.712
1810	1.071
1811	1.109
1812	0.825
1813	0.462
1814	0.937
1815	0.955
1816	0.831
1817	0.607
1818	0.902
1819	0.325
1820	1.085
1821	0.733
1822	0.345
1823	0.291
1824	0.712
1825	0.426
1826	0.759
1827	0.761
1828	0.57
1829	0.917
1830	0.258
1831	0.944
1832	0.53
1833	0.217
1834	0.862
1835	0.91
1836	1.023
1837	0.814
1838	0.639
1839	0.692
1840	1.322
1841	1.118
1842	1.083
1843	1.423
1844	0.739
1845	1.26
1846	1.036
1847	1.326
1848	0.931
1849	1.1
1850	1.193
1851	0.97
1852	1.343
1853	1.415
1854	1.15
1855	0.848
1856	0.935
1857	1.234
1858	1.685
1859	0.392
1860	1.872
1861	1.506
1862	1.545
1863	0.899
1864	1.411
1865	1.29
1866	1.958
1867	1.41
1868	1.707
1869	1.199
1870	1.439
1871	1.385
1872	1.39
1873	0.739
1874	1.246
1875	1.634
1876	1.433
1877	1.187
1878	1.124
1879	1.173
1880	1.173
1881	1.452
1882	1.339
1883	1.838
1884	1.451
1885	1.909
1886	1.228
1887	1.46
1888	0.92
1889	0.795
1890	1.168
1891	1.325
1892	1.319
1893	1.01
1894	0.932
1895	1.335
1896	1.422
1897	0.317
1898	1.491
1899	0.897
1900	0.115
1901	1.967
1902	1.419
1903	1.23
1904	0.868
1905	0.118
1906	1.225
1907	1.008
1908	1.284
1909	0.741
1910	1.033
1911	0.618
1912	1.204
1913	1.101
1914	1.102
1915	1.254
1916	0.998
1917	1.083
1918	1.172
1919	1.077
1920	0.904
1921	0.755
1922	1.117
1923	0.737
1924	0.914
1925	0.482
1926	0.179
1927	0.702
1928	1.016
1929	0.535
1930	1.019
1931	0.831
1932	1.011
1933	1.011
1934	0.998
1935	0.616
1936	0.703
1937	0.759
1938	0.98
1939	1.135
1940	1.257
1941	1.238
1942	0.977
1943	0.727
1944	0.832
1945	1.471
1946	0.885
1947	0.9
1948	1.355
1949	0.911
1950	1.137
1951	0.524
1952	1.075
1953	0.703
1954	1.297
1955	1.343
1956	1.037
1957	0.579
1958	0.229
1959	1.461
1960	1.186
1961	1.336
1962	0.882
1963	0.437
1964	1.059
1965	0.811
1966	0.942
1967	1.046
1968	0.798
1969	1.232
1970	1.08
1971	0.82
1972	0.964
1973	0.963
1974	1.084
1975	1.008
1976	0.923
1977	1.019
1978	0.928
1979	1.247
1980	0.563
1981	1.004
1982	0.488
1983	1.057
1984	0.841
1985	0.888
1986	0.963
1987	0.608
1988	0.937
1989	0.079
1990	1.196