# asia_russ014 - Esso Village Kamchatka - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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.
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# 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/4757
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
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# Title
#	Study_Name: asia_russ014 - Esso Village Kamchatka - Breitenmoser Tree Ring Chronology Data
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# 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.
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#	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: Esso Village Kamchatka
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 55.9
#	Southernmost_Latitude: 55.9
#	Easternmost_Longitude: 158.8
#	Westernmost_Longitude: 158.8
#	Elevation: 900 m
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# Data_Collection
#	Collection_Name: asia_russ014B
#	Earliest_Year: 1720
#	Most_Recent_Year: 1984
#	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":"2.52511992326","T2":"17.0345086234","M1":"0.0230115266919","M2":"0.394689562123"}}
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# 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
#
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1720	0.627
1721	1.107
1722	1.181
1723	0.892
1724	0.48
1725	0.877
1726	0.687
1727	0.873
1728	0.923
1729	1.091
1730	0.843
1731	0.848
1732	1.08
1733	1.142
1734	1.287
1735	1.563
1736	1.429
1737	1.327
1738	1.267
1739	1.132
1740	0.553
1741	1.062
1742	1.865
1743	0.324
1744	1.063
1745	1.418
1746	1.558
1747	1.121
1748	1.184
1749	1.704
1750	1.332
1751	1.179
1752	1.009
1753	1.225
1754	1.335
1755	0.984
1756	0.872
1757	1.22
1758	0.89
1759	0.738
1760	0.854
1761	0.608
1762	1.029
1763	0.688
1764	1.001
1765	0.735
1766	1.06
1767	1.035
1768	0.738
1769	1.232
1770	0.473
1771	0.945
1772	0.874
1773	1.388
1774	1.0
1775	1.073
1776	1.656
1777	0.902
1778	0.196
1779	0.637
1780	0.879
1781	0.955
1782	1.122
1783	1.037
1784	0.617
1785	0.72
1786	0.751
1787	0.455
1788	0.859
1789	0.843
1790	1.063
1791	0.959
1792	1.285
1793	1.507
1794	0.765
1795	1.017
1796	1.194
1797	0.617
1798	1.247
1799	1.585
1800	1.491
1801	1.389
1802	1.225
1803	1.267
1804	1.069
1805	0.954
1806	1.337
1807	1.312
1808	1.321
1809	1.525
1810	1.127
1811	0.469
1812	0.706
1813	0.323
1814	0.834
1815	0.874
1816	1.253
1817	0.451
1818	0.684
1819	0.559
1820	0.621
1821	0.849
1822	0.95
1823	0.72
1824	0.745
1825	1.069
1826	1.14
1827	0.833
1828	0.99
1829	1.259
1830	1.116
1831	1.014
1832	1.001
1833	0.863
1834	1.264
1835	1.118
1836	0.974
1837	0.661
1838	0.819
1839	0.853
1840	1.095
1841	1.582
1842	0.99
1843	1.182
1844	1.262
1845	1.174
1846	1.239
1847	1.228
1848	0.798
1849	1.059
1850	1.18
1851	1.43
1852	0.859
1853	0.978
1854	1.017
1855	1.077
1856	0.634
1857	0.357
1858	0.968
1859	1.241
1860	0.838
1861	0.889
1862	1.118
1863	1.05
1864	0.233
1865	0.38
1866	0.696
1867	0.103
1868	0.634
1869	0.841
1870	0.731
1871	0.983
1872	1.052
1873	0.89
1874	1.108
1875	1.033
1876	0.702
1877	0.38
1878	0.688
1879	0.716
1880	0.956
1881	0.754
1882	0.9
1883	0.872
1884	0.936
1885	0.624
1886	0.995
1887	0.354
1888	0.597
1889	0.989
1890	1.062
1891	0.881
1892	1.137
1893	0.923
1894	1.139
1895	1.085
1896	1.104
1897	1.147
1898	1.166
1899	1.289
1900	1.544
1901	1.051
1902	0.995
1903	1.11
1904	0.507
1905	0.619
1906	0.759
1907	0.837
1908	0.868
1909	1.083
1910	1.132
1911	0.923
1912	0.63
1913	0.691
1914	1.028
1915	1.129
1916	1.131
1917	0.804
1918	0.597
1919	0.699
1920	1.143
1921	1.003
1922	0.799
1923	1.026
1924	1.132
1925	1.173
1926	0.512
1927	0.331
1928	0.972
1929	1.157
1930	1.124
1931	1.011
1932	0.978
1933	1.234
1934	1.265
1935	1.334
1936	1.535
1937	1.05
1938	1.274
1939	1.321
1940	1.01
1941	1.177
1942	1.197
1943	1.298
1944	1.289
1945	0.992
1946	1.058
1947	0.27
1948	1.397
1949	1.137
1950	0.736
1951	0.792
1952	0.866
1953	0.816
1954	1.199
1955	1.06
1956	1.172
1957	0.941
1958	1.152
1959	1.146
1960	0.838
1961	0.926
1962	0.826
1963	1.091
1964	1.306
1965	0.896
1966	1.476
1967	1.316
1968	0.931
1969	1.107
1970	1.131
1971	1.031
1972	0.899
1973	0.985
1974	1.149
1975	1.108
1976	0.718
1977	1.116
1978	0.956
1979	1.012
1980	1.276
1981	1.38
1982	0.565
1983	1.45
1984	0.455