# asia_russ143w - Kubaka right bank middle - 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/4484
#
# 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_russ143w - Kubaka right bank middle - 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: Kubaka right bank middle
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 63.67
#	Southernmost_Latitude: 63.67
#	Easternmost_Longitude: 159.95
#	Westernmost_Longitude: 159.95
#	Elevation: 700 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ143wB
#	Earliest_Year: 1653
#	Most_Recent_Year: 1994
#	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":"3.09592060565","T2":"17.8395307504","M1":"0.0221453887543","M2":"0.308794061141"}}
#--------------------
# Species
#	Species_Name: Dahurian larch
#	Species_Code: LAGM
#--------------------
# 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
1653	1.177
1654	0.912
1655	0.869
1656	1.114
1657	1.041
1658	0.901
1659	1.089
1660	1.182
1661	0.821
1662	0.715
1663	0.849
1664	0.792
1665	0.969
1666	0.604
1667	0.787
1668	0.61
1669	0.855
1670	0.804
1671	0.473
1672	0.547
1673	0.224
1674	0.732
1675	0.652
1676	0.179
1677	0.409
1678	0.661
1679	0.237
1680	0.27
1681	0.352
1682	0.731
1683	0.433
1684	0.774
1685	0.785
1686	0.897
1687	1.168
1688	1.097
1689	0.885
1690	1.009
1691	1.159
1692	0.973
1693	0.937
1694	1.337
1695	0.386
1696	0.798
1697	1.015
1698	0.63
1699	1.31
1700	1.238
1701	0.809
1702	1.297
1703	1.418
1704	1.582
1705	1.03
1706	0.988
1707	0.503
1708	0.843
1709	0.668
1710	0.907
1711	0.727
1712	1.638
1713	1.071
1714	0.588
1715	0.433
1716	1.073
1717	1.158
1718	0.955
1719	0.823
1720	1.268
1721	0.908
1722	0.963
1723	0.763
1724	0.392
1725	0.706
1726	0.572
1727	1.009
1728	0.382
1729	0.844
1730	0.506
1731	0.588
1732	0.526
1733	0.376
1734	0.516
1735	0.78
1736	0.713
1737	0.519
1738	0.974
1739	1.193
1740	0.597
1741	0.429
1742	0.89
1743	0.204
1744	0.765
1745	1.252
1746	1.589
1747	1.168
1748	1.071
1749	1.033
1750	1.685
1751	1.503
1752	1.854
1753	1.988
1754	1.392
1755	1.554
1756	1.808
1757	2.167
1758	1.391
1759	1.534
1760	1.314
1761	1.186
1762	0.905
1763	1.643
1764	1.01
1765	0.602
1766	1.952
1767	1.225
1768	0.636
1769	0.796
1770	1.059
1771	1.43
1772	0.997
1773	0.99
1774	1.222
1775	1.227
1776	1.162
1777	0.167
1778	1.374
1779	1.582
1780	2.277
1781	2.195
1782	2.336
1783	2.385
1784	1.542
1785	1.608
1786	1.223
1787	1.112
1788	0.668
1789	1.314
1790	1.04
1791	1.068
1792	1.511
1793	1.031
1794	0.441
1795	1.224
1796	1.073
1797	0.674
1798	1.194
1799	1.229
1800	1.458
1801	1.234
1802	1.305
1803	1.38
1804	1.279
1805	1.396
1806	1.172
1807	1.444
1808	0.923
1809	1.208
1810	0.588
1811	0.887
1812	0.39
1813	0.564
1814	1.186
1815	0.609
1816	0.923
1817	0.267
1818	0.519
1819	0.973
1820	0.984
1821	0.771
1822	0.18
1823	0.404
1824	0.78
1825	0.769
1826	0.654
1827	0.575
1828	0.601
1829	0.78
1830	0.701
1831	1.063
1832	0.4
1833	1.127
1834	0.888
1835	0.942
1836	0.769
1837	0.609
1838	0.761
1839	0.769
1840	0.834
1841	0.672
1842	0.352
1843	0.304
1844	0.723
1845	0.824
1846	0.77
1847	0.704
1848	0.11
1849	0.606
1850	0.644
1851	0.711
1852	0.553
1853	1.053
1854	1.012
1855	0.771
1856	0.744
1857	0.533
1858	0.707
1859	1.148
1860	0.938
1861	1.009
1862	0.535
1863	0.613
1864	0.532
1865	0.76
1866	0.918
1867	0.53
1868	0.893
1869	1.128
1870	1.207
1871	1.283
1872	1.157
1873	1.422
1874	1.364
1875	1.128
1876	0.959
1877	1.024
1878	1.314
1879	0.894
1880	0.863
1881	1.012
1882	0.818
1883	0.911
1884	1.186
1885	0.632
1886	0.927
1887	0.503
1888	0.498
1889	0.882
1890	0.899
1891	0.843
1892	1.068
1893	1.268
1894	1.338
1895	1.032
1896	1.317
1897	0.805
1898	1.096
1899	1.08
1900	1.4
1901	0.927
1902	1.138
1903	0.747
1904	0.916
1905	0.595
1906	0.88
1907	0.665
1908	0.786
1909	0.653
1910	1.106
1911	0.962
1912	0.7
1913	0.819
1914	1.054
1915	1.185
1916	1.078
1917	0.71
1918	0.57
1919	1.193
1920	0.972
1921	0.893
1922	0.992
1923	0.952
1924	1.012
1925	1.059
1926	1.003
1927	0.818
1928	1.092
1929	1.602
1930	1.157
1931	1.507
1932	1.522
1933	1.0
1934	0.92
1935	1.161
1936	1.413
1937	1.055
1938	1.376
1939	1.261
1940	1.033
1941	0.924
1942	1.019
1943	1.285
1944	1.666
1945	1.06
1946	1.469
1947	0.461
1948	1.451
1949	1.116
1950	0.66
1951	0.724
1952	1.203
1953	1.159
1954	0.956
1955	1.361
1956	1.406
1957	1.08
1958	1.343
1959	0.927
1960	1.306
1961	1.005
1962	0.828
1963	1.091
1964	1.466
1965	0.976
1966	1.039
1967	1.209
1968	1.409
1969	0.943
1970	1.277
1971	0.965
1972	0.988
1973	1.169
1974	1.0
1975	0.946
1976	0.817
1977	1.096
1978	0.696
1979	0.915
1980	0.81
1981	0.903
1982	0.781
1983	1.274
1984	1.121
1985	1.03
1986	0.703
1987	0.977
1988	0.916
1989	1.092
1990	0.638
1991	0.792
1992	0.569
1993	0.609
1994	0.992