# asia_russ121w - Kostomuksha - 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
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4473
#
# 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_russ121w - Kostomuksha - 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: Kostomuksha
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 64.53
#	Southernmost_Latitude: 64.53
#	Easternmost_Longitude: 31.03
#	Westernmost_Longitude: 31.03
#	Elevation: 225 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ121wB
#	Earliest_Year: 1603
#	Most_Recent_Year: 1992
#	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":"4.62044795826","T2":"17.1678259853","M1":"0.0223116490046","M2":"0.358442867745"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# 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
1603	1.084
1604	1.101
1605	0.838
1606	1.077
1607	1.027
1608	1.145
1609	1.036
1610	1.202
1611	0.976
1612	1.22
1613	1.036
1614	1.017
1615	0.853
1616	0.987
1617	1.154
1618	1.06
1619	0.921
1620	0.806
1621	1.048
1622	0.759
1623	0.683
1624	1.044
1625	0.983
1626	0.85
1627	0.615
1628	0.819
1629	1.022
1630	0.91
1631	1.14
1632	1.131
1633	1.077
1634	1.412
1635	1.042
1636	0.806
1637	0.984
1638	1.091
1639	1.084
1640	1.003
1641	0.721
1642	0.822
1643	0.787
1644	0.656
1645	0.672
1646	0.596
1647	0.847
1648	1.148
1649	0.921
1650	0.734
1651	0.713
1652	0.785
1653	0.8
1654	0.91
1655	1.159
1656	0.958
1657	0.936
1658	0.996
1659	0.867
1660	0.815
1661	0.658
1662	0.626
1663	0.629
1664	0.621
1665	0.582
1666	0.311
1667	0.347
1668	0.439
1669	0.502
1670	0.603
1671	0.817
1672	0.852
1673	1.099
1674	0.972
1675	0.809
1676	1.076
1677	0.942
1678	1.12
1679	1.206
1680	1.08
1681	1.609
1682	1.456
1683	1.397
1684	1.915
1685	1.336
1686	1.793
1687	1.55
1688	1.427
1689	1.628
1690	1.442
1691	1.411
1692	1.42
1693	1.305
1694	1.315
1695	0.89
1696	0.513
1697	0.946
1698	1.006
1699	0.825
1700	1.041
1701	1.213
1702	1.392
1703	1.217
1704	1.367
1705	1.285
1706	1.353
1707	1.239
1708	1.182
1709	0.886
1710	0.9
1711	0.9
1712	0.888
1713	0.719
1714	0.882
1715	1.063
1716	1.19
1717	0.973
1718	0.926
1719	0.643
1720	0.887
1721	0.767
1722	0.724
1723	0.89
1724	0.917
1725	1.065
1726	0.914
1727	0.936
1728	0.925
1729	1.077
1730	0.967
1731	0.78
1732	0.784
1733	0.856
1734	0.738
1735	0.764
1736	0.993
1737	0.882
1738	1.147
1739	1.065
1740	0.826
1741	0.574
1742	0.702
1743	0.876
1744	1.007
1745	0.76
1746	0.832
1747	0.823
1748	0.96
1749	0.82
1750	0.738
1751	0.728
1752	1.101
1753	1.333
1754	1.436
1755	1.428
1756	1.068
1757	1.212
1758	1.126
1759	1.065
1760	0.995
1761	0.828
1762	0.915
1763	0.91
1764	0.851
1765	0.776
1766	0.655
1767	0.688
1768	0.774
1769	0.624
1770	0.515
1771	0.672
1772	0.683
1773	0.528
1774	0.832
1775	0.788
1776	0.606
1777	0.675
1778	0.616
1779	0.579
1780	0.819
1781	0.767
1782	0.782
1783	0.884
1784	0.891
1785	0.828
1786	0.77
1787	0.896
1788	0.959
1789	1.075
1790	0.722
1791	0.956
1792	1.351
1793	1.422
1794	1.134
1795	1.061
1796	1.304
1797	1.197
1798	1.167
1799	1.42
1800	1.013
1801	1.277
1802	1.184
1803	1.007
1804	1.166
1805	1.277
1806	0.673
1807	0.985
1808	1.142
1809	1.4
1810	1.01
1811	1.078
1812	1.032
1813	0.873
1814	0.982
1815	0.917
1816	0.97
1817	0.987
1818	1.019
1819	1.141
1820	0.81
1821	0.889
1822	1.095
1823	1.28
1824	1.181
1825	1.055
1826	1.371
1827	1.237
1828	1.04
1829	1.259
1830	1.366
1831	1.63
1832	1.338
1833	1.487
1834	1.517
1835	1.03
1836	0.944
1837	0.854
1838	1.095
1839	1.218
1840	1.241
1841	1.113
1842	1.17
1843	1.025
1844	0.826
1845	1.097
1846	1.019
1847	1.057
1848	1.161
1849	1.459
1850	1.501
1851	1.497
1852	1.406
1853	1.14
1854	1.231
1855	1.2
1856	1.115
1857	0.982
1858	1.048
1859	1.013
1860	0.903
1861	1.069
1862	0.865
1863	1.032
1864	1.225
1865	1.175
1866	1.102
1867	0.838
1868	1.001
1869	0.915
1870	0.802
1871	0.667
1872	0.626
1873	0.827
1874	0.704
1875	0.815
1876	0.826
1877	0.947
1878	0.883
1879	0.762
1880	0.654
1881	0.554
1882	0.783
1883	0.791
1884	0.888
1885	1.117
1886	1.014
1887	0.965
1888	0.816
1889	1.0
1890	1.244
1891	1.079
1892	0.9
1893	0.978
1894	0.868
1895	0.875
1896	0.996
1897	0.905
1898	1.127
1899	0.996
1900	0.946
1901	1.287
1902	0.895
1903	0.774
1904	0.991
1905	0.953
1906	0.841
1907	0.783
1908	0.703
1909	0.93
1910	0.766
1911	0.764
1912	1.008
1913	0.814
1914	1.127
1915	1.254
1916	1.119
1917	1.109
1918	0.989
1919	0.919
1920	0.915
1921	1.116
1922	1.177
1923	1.219
1924	1.125
1925	1.058
1926	0.799
1927	1.137
1928	0.907
1929	1.018
1930	1.176
1931	1.006
1932	1.017
1933	0.886
1934	1.186
1935	0.849
1936	0.895
1937	0.871
1938	0.862
1939	1.051
1940	1.031
1941	0.986
1942	0.761
1943	0.932
1944	0.926
1945	0.923
1946	0.852
1947	0.994
1948	0.956
1949	0.91
1950	0.94
1951	0.956
1952	0.841
1953	0.864
1954	1.207
1955	0.957
1956	0.803
1957	0.893
1958	0.777
1959	0.78
1960	0.775
1961	0.755
1962	0.803
1963	0.619
1964	0.792
1965	0.616
1966	0.652
1967	0.714
1968	0.75
1969	0.6
1970	0.725
1971	0.645
1972	0.806
1973	0.819
1974	0.908
1975	0.928
1976	0.921
1977	0.799
1978	0.875
1979	0.998
1980	0.803
1981	0.834
1982	0.518
1983	0.748
1984	0.761
1985	0.789
1986	0.856
1987	0.827
1988	1.001
1989	0.947
1990	1.05
1991	0.861
1992	0.734