# asia_russ062w - Kedvaran - 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/4460
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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_russ062w - Kedvaran - 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: Kedvaran
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 64.25
#	Southernmost_Latitude: 64.25
#	Easternmost_Longitude: 53.57
#	Westernmost_Longitude: 53.57
#	Elevation: 70 m
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# Data_Collection
#	Collection_Name: asia_russ062wB
#	Earliest_Year: 1774
#	Most_Recent_Year: 1990
#	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":"6.54340138597","T2":"19.9077236871","M1":"0.0222453246551","M2":"0.265920877163"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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# Chronology:
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# Variables
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# 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)
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##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
1774	0.843
1775	1.065
1776	0.911
1777	0.833
1778	0.606
1779	0.696
1780	0.7
1781	0.588
1782	0.743
1783	0.777
1784	0.559
1785	0.662
1786	0.501
1787	0.521
1788	0.559
1789	0.534
1790	0.595
1791	0.573
1792	0.634
1793	0.776
1794	0.826
1795	1.376
1796	1.307
1797	1.103
1798	1.096
1799	1.0
1800	1.13
1801	1.012
1802	0.885
1803	0.788
1804	0.953
1805	1.156
1806	0.954
1807	1.197
1808	1.34
1809	1.226
1810	0.75
1811	0.745
1812	0.914
1813	0.974
1814	1.041
1815	0.845
1816	0.786
1817	0.735
1818	0.791
1819	0.828
1820	1.048
1821	1.476
1822	1.39
1823	1.384
1824	1.394
1825	1.267
1826	1.144
1827	1.345
1828	1.132
1829	1.609
1830	1.677
1831	1.389
1832	1.545
1833	1.422
1834	1.211
1835	0.961
1836	0.922
1837	0.834
1838	0.751
1839	1.016
1840	0.86
1841	0.93
1842	1.262
1843	1.134
1844	1.381
1845	1.097
1846	1.184
1847	1.149
1848	1.148
1849	1.437
1850	1.305
1851	1.217
1852	1.121
1853	0.924
1854	1.252
1855	1.213
1856	1.363
1857	1.137
1858	0.748
1859	0.938
1860	1.019
1861	0.844
1862	0.641
1863	0.47
1864	0.733
1865	0.467
1866	0.535
1867	0.514
1868	0.657
1869	0.807
1870	0.803
1871	0.807
1872	0.697
1873	0.684
1874	0.734
1875	0.687
1876	0.829
1877	0.945
1878	1.061
1879	1.004
1880	0.947
1881	0.784
1882	0.616
1883	0.716
1884	0.893
1885	0.883
1886	0.739
1887	0.716
1888	0.677
1889	0.751
1890	1.081
1891	1.07
1892	0.706
1893	1.176
1894	0.882
1895	0.696
1896	0.669
1897	0.737
1898	0.968
1899	0.767
1900	0.897
1901	1.06
1902	1.005
1903	0.431
1904	0.701
1905	0.928
1906	0.901
1907	1.175
1908	1.173
1909	1.041
1910	0.908
1911	1.232
1912	1.058
1913	1.306
1914	1.1
1915	1.285
1916	1.022
1917	1.072
1918	1.167
1919	1.038
1920	0.915
1921	0.924
1922	0.973
1923	0.954
1924	1.245
1925	1.263
1926	0.909
1927	1.144
1928	1.17
1929	0.922
1930	1.282
1931	1.178
1932	1.11
1933	0.901
1934	1.084
1935	1.112
1936	1.142
1937	1.213
1938	1.365
1939	1.289
1940	1.283
1941	0.868
1942	0.796
1943	0.909
1944	0.957
1945	0.961
1946	0.974
1947	0.724
1948	0.92
1949	1.131
1950	1.217
1951	1.284
1952	1.341
1953	1.046
1954	1.328
1955	1.101
1956	1.437
1957	1.423
1958	0.923
1959	0.983
1960	1.148
1961	1.208
1962	0.826
1963	0.92
1964	1.092
1965	1.036
1966	1.141
1967	1.155
1968	1.036
1969	0.542
1970	0.757
1971	0.733
1972	0.624
1973	0.576
1974	0.614
1975	0.481
1976	0.59
1977	0.759
1978	0.645
1979	0.589
1980	0.784
1981	0.896
1982	0.687
1983	0.752
1984	1.296
1985	0.973
1986	0.79
1987	0.766
1988	0.978
1989	0.949
1990	0.961