# asia_russ110w - Verchoyansk,Cakker 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.
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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/4714
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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
#--------------------
# Title
#	Study_Name: asia_russ110w - Verchoyansk,Cakker 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.
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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: Verchoyansk,Cakker river
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 67.83
#	Southernmost_Latitude: 67.83
#	Easternmost_Longitude: 130.83
#	Westernmost_Longitude: 130.83
#	Elevation: 750 m
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# Data_Collection
#	Collection_Name: asia_russ110wB
#	Earliest_Year: 1746
#	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":"7.10506440872","T2":"18.462379247","M1":"0.021961191791","M2":"0.245968292188"}}
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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
1746	1.089
1747	1.257
1748	1.009
1749	0.999
1750	1.123
1751	1.138
1752	1.492
1753	1.634
1754	0.484
1755	1.695
1756	1.039
1757	1.92
1758	1.45
1759	1.544
1760	1.257
1761	1.413
1762	0.403
1763	1.76
1764	0.768
1765	1.936
1766	2.227
1767	0.987
1768	1.812
1769	1.242
1770	0.587
1771	1.076
1772	0.634
1773	1.14
1774	0.36
1775	1.09
1776	1.003
1777	1.117
1778	1.398
1779	0.844
1780	0.917
1781	1.287
1782	1.156
1783	1.367
1784	1.449
1785	1.156
1786	1.47
1787	1.036
1788	0.865
1789	1.402
1790	1.632
1791	0.482
1792	1.224
1793	1.434
1794	0.517
1795	1.336
1796	0.733
1797	0.972
1798	1.265
1799	1.202
1800	0.804
1801	0.43
1802	1.007
1803	1.033
1804	0.267
1805	0.3
1806	0.83
1807	0.621
1808	0.641
1809	0.44
1810	0.859
1811	0.911
1812	0.643
1813	0.204
1814	0.927
1815	0.865
1816	0.964
1817	0.234
1818	0.471
1819	0.593
1820	1.05
1821	0.547
1822	0.444
1823	0.27
1824	0.924
1825	0.312
1826	0.27
1827	0.526
1828	0.36
1829	0.647
1830	0.171
1831	0.487
1832	0.376
1833	0.429
1834	0.738
1835	0.706
1836	1.191
1837	0.392
1838	0.765
1839	0.271
1840	0.977
1841	1.149
1842	0.832
1843	1.303
1844	1.039
1845	1.263
1846	1.221
1847	1.031
1848	1.213
1849	0.734
1850	1.006
1851	0.485
1852	1.243
1853	0.789
1854	0.866
1855	1.157
1856	0.273
1857	0.442
1858	1.001
1859	0.746
1860	1.506
1861	1.277
1862	1.55
1863	0.488
1864	1.093
1865	0.853
1866	0.747
1867	0.817
1868	0.38
1869	0.999
1870	0.964
1871	1.081
1872	0.835
1873	1.072
1874	1.488
1875	1.052
1876	1.571
1877	0.693
1878	1.484
1879	1.625
1880	1.893
1881	2.301
1882	1.568
1883	1.909
1884	1.623
1885	2.039
1886	1.147
1887	0.83
1888	0.922
1889	0.83
1890	1.409
1891	0.85
1892	0.914
1893	1.092
1894	0.62
1895	1.403
1896	0.222
1897	1.0
1898	0.538
1899	0.641
1900	0.142
1901	0.816
1902	1.024
1903	0.767
1904	0.551
1905	0.586
1906	1.029
1907	1.105
1908	0.91
1909	0.948
1910	1.405
1911	1.155
1912	1.596
1913	0.597
1914	1.071
1915	0.283
1916	0.579
1917	0.922
1918	0.574
1919	0.702
1920	0.834
1921	0.928
1922	1.209
1923	0.325
1924	0.762
1925	0.723
1926	0.375
1927	0.623
1928	1.053
1929	0.905
1930	1.161
1931	1.004
1932	1.089
1933	1.713
1934	1.431
1935	0.628
1936	0.856
1937	1.086
1938	1.334
1939	1.166
1940	1.734
1941	1.126
1942	1.03
1943	0.259
1944	0.883
1945	0.757
1946	1.234
1947	1.203
1948	1.561
1949	1.432
1950	0.418
1951	0.694
1952	0.912
1953	0.78
1954	1.08
1955	1.336
1956	1.617
1957	0.789
1958	0.176
1959	0.901
1960	1.351
1961	1.497
1962	0.603
1963	0.981
1964	0.846
1965	0.772
1966	0.954
1967	1.104
1968	1.058
1969	1.1
1970	1.4
1971	0.798
1972	0.9
1973	1.204
1974	1.773
1975	1.5
1976	0.582
1977	1.132
1978	0.671
1979	0.859
1980	0.632
1981	1.134
1982	1.14
1983	0.921
1984	0.255
1985	0.371
1986	1.016
1987	1.081
1988	1.277
1989	0.818
1990	1.119
1991	0.884