# asia_russ159w - Under Vangapur River B - 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/4705
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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_russ159w - Under Vangapur River B - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# 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: Under Vangapur River B
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 63.07
#	Southernmost_Latitude: 63.07
#	Easternmost_Longitude: 76.32
#	Westernmost_Longitude: 76.32
#	Elevation: 170 m
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# Data_Collection
#	Collection_Name: asia_russ159wB
#	Earliest_Year: 1822
#	Most_Recent_Year: 1994
#	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":"7.0428628352","T2":"20.5101328667","M1":"0.0224176059152","M2":"0.26451154342"}}
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# Species
#	Species_Name: Siberian larch
#	Species_Code: LASI
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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
1822	1.013
1823	1.183
1824	1.156
1825	1.013
1826	0.975
1827	0.926
1828	0.367
1829	0.369
1830	0.513
1831	0.918
1832	0.978
1833	0.953
1834	0.9
1835	1.044
1836	1.03
1837	1.12
1838	1.345
1839	1.164
1840	1.311
1841	1.05
1842	1.266
1843	1.158
1844	1.473
1845	1.418
1846	1.395
1847	1.184
1848	1.151
1849	1.35
1850	1.334
1851	1.224
1852	1.2
1853	1.059
1854	0.944
1855	0.772
1856	0.883
1857	0.895
1858	0.789
1859	0.688
1860	1.02
1861	0.969
1862	0.81
1863	0.931
1864	0.922
1865	1.119
1866	1.094
1867	0.781
1868	1.227
1869	0.845
1870	1.108
1871	0.915
1872	1.141
1873	1.014
1874	1.097
1875	1.422
1876	1.172
1877	1.236
1878	1.29
1879	1.294
1880	1.103
1881	0.559
1882	0.434
1883	0.53
1884	0.397
1885	0.415
1886	0.517
1887	0.576
1888	0.634
1889	0.672
1890	0.917
1891	0.769
1892	1.1
1893	0.667
1894	1.077
1895	0.81
1896	0.828
1897	0.953
1898	1.147
1899	1.077
1900	1.284
1901	1.179
1902	1.256
1903	0.964
1904	1.212
1905	0.726
1906	0.974
1907	0.382
1908	0.804
1909	1.23
1910	0.958
1911	1.086
1912	0.828
1913	1.103
1914	0.986
1915	1.481
1916	1.337
1917	1.415
1918	1.458
1919	1.229
1920	1.568
1921	1.511
1922	1.818
1923	1.799
1924	0.801
1925	1.421
1926	1.39
1927	0.935
1928	0.859
1929	0.779
1930	0.885
1931	0.864
1932	0.978
1933	0.899
1934	0.816
1935	0.743
1936	0.77
1937	0.878
1938	0.484
1939	1.001
1940	0.989
1941	1.252
1942	1.283
1943	0.425
1944	0.963
1945	1.127
1946	0.833
1947	0.605
1948	0.632
1949	0.316
1950	0.696
1951	0.293
1952	0.72
1953	0.532
1954	0.778
1955	0.937
1956	0.938
1957	0.969
1958	1.008
1959	1.025
1960	0.931
1961	0.679
1962	0.9
1963	1.154
1964	1.175
1965	1.072
1966	1.076
1967	1.417
1968	1.316
1969	1.223
1970	0.861
1971	1.008
1972	0.887
1973	0.858
1974	0.757
1975	0.824
1976	0.805
1977	1.004
1978	1.222
1979	1.449
1980	1.261
1981	1.108
1982	1.059
1983	1.225
1984	1.408
1985	1.2
1986	1.247
1987	0.537
1988	0.923
1989	0.983
1990	0.968
1991	1.08
1992	0.995
1993	1.143
1994	1.116