# asia_russ066w - Khandiga 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:
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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/4463
#
# 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_russ066w - Khandiga 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.
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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: Khandiga River
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 62.47
#	Southernmost_Latitude: 62.47
#	Easternmost_Longitude: 137.75
#	Westernmost_Longitude: 137.75
#	Elevation: 400 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ066wB
#	Earliest_Year: 1675
#	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":"5.05058237412","T2":"19.1336260222","M1":"0.0217032978303","M2":"0.205814939269"}}
#--------------------
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1675	1.241
1676	1.098
1677	0.815
1678	0.589
1679	0.388
1680	1.05
1681	1.549
1682	1.473
1683	1.4
1684	1.228
1685	1.09
1686	0.968
1687	0.548
1688	0.689
1689	0.955
1690	0.223
1691	1.101
1692	0.427
1693	1.298
1694	1.144
1695	0.443
1696	0.66
1697	0.978
1698	0.75
1699	0.761
1700	0.752
1701	1.168
1702	1.21
1703	0.858
1704	1.164
1705	0.992
1706	1.126
1707	1.004
1708	0.544
1709	0.728
1710	0.796
1711	0.939
1712	0.91
1713	0.93
1714	0.836
1715	1.11
1716	1.17
1717	1.024
1718	0.793
1719	0.989
1720	1.026
1721	1.132
1722	1.02
1723	1.348
1724	1.123
1725	0.839
1726	1.123
1727	1.266
1728	0.404
1729	0.898
1730	0.612
1731	0.467
1732	0.868
1733	0.826
1734	0.82
1735	0.826
1736	1.214
1737	0.991
1738	0.974
1739	1.085
1740	0.768
1741	1.011
1742	1.138
1743	1.009
1744	0.963
1745	1.129
1746	1.13
1747	1.025
1748	0.834
1749	0.933
1750	1.194
1751	1.279
1752	1.149
1753	1.025
1754	0.878
1755	1.108
1756	1.186
1757	1.245
1758	0.813
1759	1.066
1760	0.99
1761	0.799
1762	0.915
1763	0.892
1764	0.418
1765	1.05
1766	1.081
1767	1.419
1768	1.228
1769	1.219
1770	0.687
1771	0.636
1772	0.794
1773	0.981
1774	1.034
1775	1.035
1776	1.223
1777	1.251
1778	0.803
1779	0.817
1780	0.751
1781	1.055
1782	1.158
1783	1.182
1784	0.982
1785	1.075
1786	1.02
1787	1.155
1788	0.799
1789	0.842
1790	0.943
1791	0.769
1792	1.305
1793	1.508
1794	1.252
1795	1.265
1796	0.539
1797	0.14
1798	0.696
1799	0.66
1800	0.617
1801	0.774
1802	1.011
1803	0.977
1804	0.767
1805	1.181
1806	1.077
1807	1.327
1808	1.49
1809	1.657
1810	1.478
1811	1.007
1812	0.801
1813	0.876
1814	1.15
1815	0.712
1816	1.19
1817	0.774
1818	0.242
1819	1.264
1820	0.971
1821	1.096
1822	1.201
1823	0.666
1824	0.912
1825	0.716
1826	1.108
1827	1.041
1828	1.025
1829	1.113
1830	1.078
1831	1.382
1832	0.901
1833	1.238
1834	1.346
1835	1.276
1836	1.221
1837	0.575
1838	0.344
1839	0.627
1840	0.88
1841	0.941
1842	0.706
1843	1.08
1844	1.132
1845	0.883
1846	0.945
1847	0.994
1848	1.234
1849	1.045
1850	0.889
1851	1.12
1852	1.198
1853	0.757
1854	0.542
1855	0.076
1856	0.652
1857	0.736
1858	0.971
1859	0.915
1860	1.118
1861	1.016
1862	0.738
1863	0.536
1864	0.713
1865	0.791
1866	0.972
1867	1.322
1868	1.578
1869	1.749
1870	1.455
1871	1.018
1872	1.182
1873	1.458
1874	1.205
1875	1.049
1876	0.837
1877	0.854
1878	1.343
1879	1.055
1880	1.122
1881	1.336
1882	0.892
1883	1.441
1884	1.085
1885	0.739
1886	0.643
1887	0.874
1888	0.745
1889	1.03
1890	1.151
1891	1.46
1892	1.317
1893	1.795
1894	1.277
1895	1.5
1896	1.609
1897	1.639
1898	1.409
1899	1.283
1900	1.176
1901	1.063
1902	1.206
1903	1.364
1904	1.225
1905	0.883
1906	1.251
1907	1.079
1908	1.194
1909	0.837
1910	1.048
1911	0.712
1912	1.078
1913	0.878
1914	0.627
1915	0.821
1916	1.096
1917	0.902
1918	1.049
1919	1.343
1920	0.897
1921	1.106
1922	0.921
1923	0.983
1924	1.118
1925	0.69
1926	0.659
1927	0.859
1928	1.113
1929	0.877
1930	1.089
1931	1.437
1932	1.263
1933	1.057
1934	1.312
1935	0.963
1936	1.435
1937	1.668
1938	1.519
1939	1.239
1940	0.943
1941	0.752
1942	0.693
1943	0.319
1944	0.845
1945	0.68
1946	0.777
1947	0.768
1948	0.889
1949	1.007
1950	0.737
1951	0.931
1952	0.882
1953	1.065
1954	1.053
1955	0.746
1956	0.376
1957	0.854
1958	0.524
1959	0.892
1960	1.104
1961	1.233
1962	0.98
1963	0.779
1964	0.81
1965	0.752
1966	0.848
1967	0.989
1968	0.713
1969	0.898
1970	0.867
1971	0.726
1972	0.468
1973	1.049
1974	1.035
1975	1.098
1976	0.823
1977	0.928
1978	0.914
1979	0.752
1980	0.582
1981	1.021
1982	0.451
1983	0.67
1984	0.694
1985	0.647
1986	0.787
1987	0.793
1988	0.784
1989	0.845
1990	1.076