# asia_russ035w - Khadyta River - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/4462
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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_russ035w - Khadyta River - 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: Khadyta River
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 67.2
#	Southernmost_Latitude: 67.2
#	Easternmost_Longitude: 69.83
#	Westernmost_Longitude: 69.83
#	Elevation: 90 m
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# Data_Collection
#	Collection_Name: asia_russ035wB
#	Earliest_Year: 1786
#	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":"7.00109612575","T2":"20.0871405433","M1":"0.0222980408701","M2":"0.242666563425"}}
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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
1786	0.805
1787	1.004
1788	0.746
1789	0.912
1790	1.15
1791	1.168
1792	0.931
1793	1.35
1794	0.983
1795	1.03
1796	1.548
1797	1.304
1798	1.474
1799	0.899
1800	1.093
1801	1.279
1802	1.309
1803	1.316
1804	0.773
1805	1.268
1806	0.881
1807	1.263
1808	1.226
1809	1.068
1810	1.036
1811	0.898
1812	0.633
1813	0.781
1814	0.78
1815	0.381
1816	0.057
1817	0.245
1818	0.053
1819	0.18
1820	0.101
1821	0.393
1822	0.75
1823	1.151
1824	1.163
1825	0.655
1826	1.333
1827	1.71
1828	0.686
1829	0.814
1830	0.845
1831	0.573
1832	1.011
1833	0.648
1834	0.543
1835	0.794
1836	0.696
1837	0.638
1838	0.39
1839	0.978
1840	1.501
1841	1.092
1842	1.803
1843	0.964
1844	1.918
1845	2.067
1846	1.653
1847	1.762
1848	1.083
1849	1.004
1850	1.143
1851	1.256
1852	1.143
1853	1.128
1854	1.075
1855	0.549
1856	1.223
1857	1.084
1858	0.979
1859	1.024
1860	0.696
1861	0.941
1862	0.748
1863	0.616
1864	0.56
1865	0.725
1866	0.998
1867	0.199
1868	1.423
1869	1.121
1870	2.015
1871	1.454
1872	1.576
1873	0.573
1874	0.971
1875	0.967
1876	0.697
1877	1.351
1878	1.303
1879	1.267
1880	1.016
1881	0.816
1882	0.241
1883	0.485
1884	0.395
1885	0.302
1886	0.696
1887	0.888
1888	0.617
1889	0.29
1890	1.139
1891	0.479
1892	1.021
1893	0.747
1894	0.469
1895	1.121
1896	1.055
1897	1.465
1898	1.791
1899	0.697
1900	1.297
1901	0.962
1902	1.391
1903	0.414
1904	1.044
1905	0.946
1906	1.289
1907	1.073
1908	1.487
1909	2.064
1910	1.235
1911	2.111
1912	0.727
1913	1.065
1914	0.763
1915	1.721
1916	0.903
1917	1.228
1918	1.207
1919	0.649
1920	0.863
1921	1.222
1922	1.396
1923	1.599
1924	1.758
1925	1.409
1926	1.463
1927	0.994
1928	1.134
1929	1.004
1930	0.753
1931	0.733
1932	0.351
1933	0.588
1934	0.483
1935	0.61
1936	0.676
1937	1.048
1938	1.392
1939	1.648
1940	1.086
1941	0.485
1942	1.303
1943	1.281
1944	1.13
1945	1.421
1946	0.786
1947	0.501
1948	1.058
1949	0.513
1950	0.864
1951	0.787
1952	1.086
1953	1.42
1954	1.129
1955	1.304
1956	1.742
1957	1.075
1958	0.649
1959	0.641
1960	0.744
1961	0.867
1962	0.815
1963	1.234
1964	1.393
1965	1.615
1966	0.948
1967	0.925
1968	0.726
1969	1.13
1970	0.541
1971	0.277
1972	0.599
1973	0.357
1974	0.683
1975	0.212
1976	0.695
1977	0.606
1978	0.768
1979	0.787
1980	0.516
1981	0.958
1982	1.169
1983	1.426
1984	1.626
1985	0.855
1986	0.615
1987	0.622
1988	0.849
1989	1.336
1990	1.063