# asia_russ103w - Sartan 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/4630
#
# 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_russ103w - Sartan 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
#------------------
# Site_Information
#	Site_Name: Sartan river
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 64.93
#	Southernmost_Latitude: 64.93
#	Easternmost_Longitude: 132.93
#	Westernmost_Longitude: 132.93
#	Elevation: 750 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ103wB
#	Earliest_Year: 1673
#	Most_Recent_Year: 1991
#	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":"4.12833506744","T2":"17.1284087306","M1":"0.0226412634023","M2":"0.437709301645"}}
#--------------------
# 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
1673	0.852
1674	1.307
1675	0.996
1676	0.796
1677	0.97
1678	0.806
1679	0.684
1680	1.574
1681	1.061
1682	1.412
1683	1.816
1684	0.849
1685	1.38
1686	0.826
1687	0.629
1688	0.849
1689	1.058
1690	1.325
1691	1.436
1692	1.298
1693	1.46
1694	1.074
1695	0.243
1696	0.829
1697	1.051
1698	0.749
1699	0.864
1700	0.774
1701	0.959
1702	0.799
1703	0.93
1704	0.932
1705	0.904
1706	1.318
1707	0.453
1708	1.511
1709	1.131
1710	0.736
1711	0.902
1712	0.916
1713	1.07
1714	0.89
1715	0.624
1716	0.838
1717	0.904
1718	0.765
1719	0.631
1720	1.041
1721	0.95
1722	1.133
1723	1.336
1724	1.379
1725	0.688
1726	0.888
1727	0.979
1728	0.4
1729	0.98
1730	0.639
1731	0.279
1732	0.856
1733	0.795
1734	0.614
1735	0.713
1736	0.872
1737	0.692
1738	0.599
1739	1.065
1740	0.371
1741	0.779
1742	1.062
1743	0.786
1744	0.576
1745	0.999
1746	0.792
1747	1.196
1748	0.951
1749	0.974
1750	1.204
1751	0.998
1752	0.93
1753	1.084
1754	0.683
1755	0.96
1756	0.861
1757	0.89
1758	0.647
1759	0.775
1760	0.99
1761	0.9
1762	0.433
1763	0.541
1764	0.616
1765	0.675
1766	0.726
1767	0.726
1768	0.954
1769	0.615
1770	0.586
1771	0.652
1772	0.604
1773	0.756
1774	0.819
1775	0.91
1776	0.996
1777	0.994
1778	1.207
1779	0.495
1780	0.571
1781	0.469
1782	1.02
1783	0.537
1784	0.918
1785	0.777
1786	0.515
1787	0.683
1788	0.678
1789	0.651
1790	0.747
1791	0.592
1792	1.047
1793	1.103
1794	0.666
1795	1.027
1796	0.731
1797	0.481
1798	0.761
1799	0.778
1800	0.684
1801	0.407
1802	0.832
1803	0.797
1804	0.641
1805	0.814
1806	0.822
1807	0.911
1808	0.962
1809	0.916
1810	0.849
1811	0.629
1812	0.623
1813	0.369
1814	0.817
1815	0.662
1816	0.677
1817	0.513
1818	0.045
1819	0.868
1820	0.855
1821	0.756
1822	0.607
1823	0.552
1824	0.912
1825	0.826
1826	1.015
1827	1.038
1828	1.185
1829	1.472
1830	1.016
1831	1.23
1832	0.682
1833	1.117
1834	1.06
1835	1.155
1836	1.28
1837	0.827
1838	0.799
1839	0.561
1840	0.943
1841	0.936
1842	0.54
1843	0.858
1844	0.632
1845	0.493
1846	0.537
1847	0.639
1848	0.604
1849	0.662
1850	0.504
1851	0.353
1852	0.49
1853	0.742
1854	0.724
1855	0.927
1856	1.17
1857	0.74
1858	1.715
1859	0.776
1860	1.133
1861	0.814
1862	0.914
1863	0.598
1864	0.981
1865	0.991
1866	1.288
1867	1.703
1868	1.365
1869	2.426
1870	2.319
1871	1.722
1872	2.071
1873	1.975
1874	1.351
1875	1.522
1876	1.501
1877	1.003
1878	1.894
1879	1.429
1880	2.009
1881	2.017
1882	1.095
1883	1.665
1884	1.645
1885	1.379
1886	0.77
1887	1.14
1888	0.783
1889	0.859
1890	0.923
1891	0.807
1892	0.87
1893	1.292
1894	0.889
1895	1.36
1896	1.18
1897	1.143
1898	1.113
1899	1.202
1900	0.767
1901	1.231
1902	1.23
1903	1.241
1904	0.971
1905	0.956
1906	1.181
1907	0.932
1908	1.282
1909	0.905
1910	1.2
1911	0.958
1912	1.376
1913	0.96
1914	0.878
1915	0.731
1916	0.945
1917	0.93
1918	0.827
1919	0.798
1920	0.358
1921	0.651
1922	0.99
1923	0.756
1924	0.872
1925	0.726
1926	0.518
1927	0.654
1928	0.747
1929	0.728
1930	0.88
1931	0.563
1932	0.827
1933	1.069
1934	0.79
1935	0.782
1936	1.32
1937	1.155
1938	1.221
1939	1.103
1940	1.43
1941	1.218
1942	1.265
1943	0.46
1944	1.176
1945	0.782
1946	1.07
1947	1.042
1948	1.157
1949	1.221
1950	0.835
1951	0.938
1952	0.882
1953	0.943
1954	0.945
1955	0.849
1956	0.996
1957	0.669
1958	0.765
1959	0.98
1960	1.141
1961	1.125
1962	0.815
1963	0.871
1964	0.818
1965	0.685
1966	0.805
1967	0.933
1968	0.733
1969	0.994
1970	0.858
1971	0.706
1972	0.256
1973	0.736
1974	0.827
1975	1.027
1976	0.638
1977	0.444
1978	0.824
1979	0.598
1980	0.572
1981	0.84
1982	0.537
1983	0.602
1984	0.595
1985	0.548
1986	1.016
1987	0.926
1988	0.907
1989	0.795
1990	0.835
1991	0.646