# asia_russ095w - Ukyu - 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/4703
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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_russ095w - Ukyu - 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: Ukyu
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 62.6
#	Southernmost_Latitude: 62.6
#	Easternmost_Longitude: 58.8
#	Westernmost_Longitude: 58.8
#	Elevation: 340 m
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# Data_Collection
#	Collection_Name: asia_russ095wB
#	Earliest_Year: 1761
#	Most_Recent_Year: 1991
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.65817417367","T2":"15.4729990656","M1":"0.023218238622","M2":"0.526950849655"}}
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# 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)
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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
1761	0.687
1762	0.786
1763	0.512
1764	0.971
1765	0.886
1766	0.853
1767	1.251
1768	1.382
1769	1.252
1770	1.07
1771	0.976
1772	0.839
1773	0.805
1774	1.044
1775	0.717
1776	0.577
1777	0.793
1778	0.608
1779	1.021
1780	0.828
1781	0.941
1782	1.122
1783	0.898
1784	1.185
1785	1.029
1786	0.834
1787	0.671
1788	0.742
1789	0.456
1790	0.863
1791	0.876
1792	0.909
1793	0.952
1794	1.004
1795	1.439
1796	1.356
1797	1.05
1798	1.122
1799	0.822
1800	1.08
1801	1.068
1802	0.805
1803	0.886
1804	0.923
1805	1.132
1806	1.002
1807	0.966
1808	1.102
1809	1.244
1810	0.936
1811	1.168
1812	1.25
1813	0.932
1814	0.838
1815	0.94
1816	0.827
1817	0.882
1818	0.973
1819	0.876
1820	1.072
1821	1.156
1822	1.124
1823	1.032
1824	0.865
1825	0.87
1826	0.877
1827	0.908
1828	0.739
1829	1.18
1830	1.091
1831	0.868
1832	1.122
1833	1.218
1834	1.045
1835	1.251
1836	1.077
1837	1.273
1838	0.873
1839	1.137
1840	0.951
1841	0.415
1842	0.165
1843	0.411
1844	0.582
1845	0.632
1846	0.906
1847	1.196
1848	0.896
1849	1.037
1850	0.813
1851	0.818
1852	0.891
1853	1.019
1854	0.981
1855	0.856
1856	1.374
1857	1.312
1858	0.628
1859	1.35
1860	1.114
1861	1.916
1862	1.074
1863	0.817
1864	1.429
1865	1.087
1866	1.572
1867	1.387
1868	1.87
1869	1.487
1870	0.799
1871	0.813
1872	0.836
1873	0.759
1874	0.85
1875	1.023
1876	1.155
1877	0.955
1878	1.129
1879	1.035
1880	1.078
1881	0.794
1882	0.734
1883	0.898
1884	1.13
1885	1.182
1886	1.065
1887	0.899
1888	0.987
1889	1.204
1890	1.013
1891	1.22
1892	1.66
1893	0.8
1894	0.692
1895	0.876
1896	0.893
1897	1.028
1898	1.103
1899	0.706
1900	1.062
1901	1.118
1902	1.075
1903	0.862
1904	0.862
1905	0.92
1906	1.095
1907	1.113
1908	0.842
1909	1.027
1910	0.6
1911	0.812
1912	0.701
1913	0.984
1914	0.672
1915	1.587
1916	0.703
1917	1.483
1918	1.514
1919	1.133
1920	0.949
1921	0.675
1922	0.669
1923	0.754
1924	0.859
1925	0.9
1926	0.896
1927	1.634
1928	1.577
1929	1.536
1930	1.695
1931	1.285
1932	1.315
1933	1.105
1934	0.823
1935	0.884
1936	0.919
1937	0.672
1938	1.009
1939	0.859
1940	1.088
1941	0.769
1942	1.579
1943	1.11
1944	0.923
1945	0.862
1946	0.762
1947	0.61
1948	0.917
1949	0.877
1950	1.011
1951	0.986
1952	0.858
1953	0.566
1954	0.339
1955	0.473
1956	0.728
1957	0.672
1958	0.466
1959	0.942
1960	0.556
1961	0.728
1962	0.351
1963	0.833
1964	0.941
1965	1.174
1966	1.046
1967	0.847
1968	1.191
1969	1.244
1970	1.299
1971	1.127
1972	1.357
1973	1.305
1974	1.439
1975	0.807
1976	0.858
1977	0.825
1978	0.743
1979	1.053
1980	1.025
1981	1.142
1982	1.003
1983	1.272
1984	1.172
1985	0.812
1986	0.621
1987	0.842
1988	0.51
1989	0.855
1990	0.706
1991	0.809