# asia_russ097w - Polui River Head B - 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/4601
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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_russ097w - Polui River Head B - 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: Polui River Head B
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 65.35
#	Southernmost_Latitude: 65.35
#	Easternmost_Longitude: 69.52
#	Westernmost_Longitude: 69.52
#	Elevation: 25 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ097wB
#	Earliest_Year: 1678
#	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":"5.47193274178","T2":"18.7991414865","M1":"0.0225377278413","M2":"0.337378704991"}}
#--------------------
# Species
#	Species_Name: Siberian spruce
#	Species_Code: PCOB
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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
1678	0.91
1679	0.75
1680	1.06
1681	0.843
1682	0.896
1683	1.252
1684	1.43
1685	1.254
1686	0.684
1687	1.207
1688	1.13
1689	1.203
1690	1.42
1691	1.207
1692	1.063
1693	1.148
1694	0.506
1695	1.191
1696	1.081
1697	0.539
1698	0.785
1699	1.038
1700	0.919
1701	0.861
1702	0.945
1703	0.999
1704	0.93
1705	0.754
1706	0.668
1707	0.806
1708	1.159
1709	1.144
1710	1.066
1711	0.85
1712	1.113
1713	0.445
1714	0.735
1715	0.999
1716	0.824
1717	0.694
1718	0.774
1719	1.16
1720	0.978
1721	1.055
1722	0.91
1723	0.835
1724	1.147
1725	0.656
1726	0.611
1727	0.787
1728	0.923
1729	0.919
1730	0.57
1731	0.961
1732	0.512
1733	0.922
1734	0.581
1735	1.05
1736	0.753
1737	0.899
1738	1.06
1739	1.127
1740	1.01
1741	0.843
1742	0.69
1743	0.572
1744	0.583
1745	0.512
1746	0.744
1747	0.695
1748	0.531
1749	0.736
1750	0.766
1751	0.66
1752	0.724
1753	0.874
1754	0.855
1755	0.557
1756	0.739
1757	1.055
1758	0.72
1759	0.433
1760	0.507
1761	0.611
1762	0.656
1763	0.693
1764	0.901
1765	0.926
1766	0.793
1767	1.209
1768	1.108
1769	1.294
1770	0.542
1771	1.148
1772	0.619
1773	1.087
1774	0.952
1775	0.686
1776	0.58
1777	0.9
1778	0.947
1779	0.839
1780	0.903
1781	0.841
1782	1.19
1783	0.688
1784	1.386
1785	1.143
1786	1.021
1787	1.031
1788	0.996
1789	1.104
1790	1.051
1791	0.927
1792	0.654
1793	1.118
1794	0.898
1795	0.864
1796	0.998
1797	0.915
1798	1.044
1799	0.694
1800	0.963
1801	1.176
1802	0.767
1803	0.708
1804	0.816
1805	1.356
1806	0.991
1807	1.372
1808	1.293
1809	1.763
1810	1.668
1811	1.343
1812	1.35
1813	1.331
1814	1.304
1815	1.41
1816	0.86
1817	1.242
1818	0.756
1819	1.034
1820	0.922
1821	1.301
1822	1.267
1823	1.413
1824	1.136
1825	0.816
1826	0.934
1827	1.005
1828	0.705
1829	1.251
1830	1.237
1831	0.875
1832	1.303
1833	1.005
1834	1.362
1835	1.497
1836	1.123
1837	1.191
1838	1.283
1839	1.43
1840	1.677
1841	1.15
1842	1.335
1843	0.763
1844	1.039
1845	1.155
1846	1.162
1847	1.212
1848	1.093
1849	0.965
1850	0.987
1851	1.058
1852	1.288
1853	1.311
1854	0.951
1855	0.774
1856	1.211
1857	0.753
1858	1.146
1859	1.18
1860	0.868
1861	1.172
1862	0.819
1863	0.619
1864	0.63
1865	0.86
1866	0.848
1867	0.495
1868	0.394
1869	0.398
1870	0.498
1871	0.522
1872	0.741
1873	0.721
1874	0.842
1875	0.74
1876	0.764
1877	0.822
1878	0.848
1879	1.015
1880	1.048
1881	0.609
1882	0.518
1883	0.953
1884	0.824
1885	0.947
1886	1.104
1887	1.043
1888	1.027
1889	1.036
1890	1.269
1891	1.059
1892	1.514
1893	1.11
1894	1.234
1895	0.809
1896	1.064
1897	1.343
1898	1.168
1899	0.394
1900	1.012
1901	0.933
1902	1.089
1903	0.678
1904	0.879
1905	0.942
1906	1.096
1907	1.0
1908	0.956
1909	1.154
1910	0.944
1911	1.113
1912	0.972
1913	1.149
1914	0.756
1915	1.282
1916	0.523
1917	1.085
1918	1.169
1919	1.02
1920	1.314
1921	1.165
1922	1.146
1923	1.036
1924	1.135
1925	1.192
1926	1.198
1927	1.249
1928	1.169
1929	1.019
1930	1.35
1931	1.161
1932	0.693
1933	0.824
1934	0.661
1935	0.829
1936	0.785
1937	0.785
1938	0.954
1939	1.058
1940	0.965
1941	0.8
1942	1.375
1943	1.06
1944	1.176
1945	1.291
1946	0.982
1947	0.846
1948	1.155
1949	0.848
1950	1.178
1951	0.898
1952	1.206
1953	1.078
1954	1.131
1955	1.073
1956	1.283
1957	1.055
1958	0.957
1959	1.268
1960	0.9
1961	0.955
1962	0.653
1963	0.882
1964	0.975
1965	1.114
1966	0.8
1967	0.992
1968	1.061
1969	1.392
1970	0.949
1971	1.032
1972	1.102
1973	1.452
1974	0.949
1975	0.639
1976	0.772
1977	0.765
1978	0.618
1979	0.957
1980	0.767
1981	0.814
1982	0.886
1983	1.112
1984	0.943
1985	0.608
1986	0.689
1987	0.805
1988	0.848
1989	1.063
1990	0.858
1991	0.813