# asia_russ037w - Kheygiyakha River - 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/4467
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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_russ037w - Kheygiyakha River - 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: Kheygiyakha River
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 65.5
#	Southernmost_Latitude: 65.5
#	Easternmost_Longitude: 72.65
#	Westernmost_Longitude: 72.65
#	Elevation: 100 m
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# Data_Collection
#	Collection_Name: asia_russ037wB
#	Earliest_Year: 1805
#	Most_Recent_Year: 1990
#	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":"3.00206911049","T2":"13.6250281357","M1":"0.0233149821812","M2":"0.574036967041"}}
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# Species
#	Species_Name: Siberian spruce
#	Species_Code: PCOB
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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
1805	0.722
1806	0.57
1807	1.035
1808	1.013
1809	1.171
1810	0.828
1811	0.557
1812	0.954
1813	0.868
1814	0.957
1815	0.735
1816	0.557
1817	0.605
1818	0.585
1819	0.538
1820	0.504
1821	0.595
1822	0.387
1823	0.782
1824	0.912
1825	0.75
1826	0.768
1827	0.737
1828	0.677
1829	0.978
1830	0.993
1831	0.922
1832	0.945
1833	0.853
1834	1.11
1835	1.151
1836	1.078
1837	0.989
1838	0.828
1839	0.609
1840	1.116
1841	0.822
1842	0.884
1843	0.733
1844	0.773
1845	0.884
1846	0.927
1847	0.884
1848	0.829
1849	0.92
1850	0.855
1851	0.93
1852	1.118
1853	1.352
1854	1.091
1855	1.109
1856	1.381
1857	1.218
1858	1.162
1859	1.344
1860	1.347
1861	1.74
1862	0.939
1863	1.489
1864	1.226
1865	1.124
1866	1.063
1867	0.908
1868	0.779
1869	0.804
1870	0.966
1871	1.01
1872	1.105
1873	1.025
1874	1.395
1875	1.216
1876	1.137
1877	1.265
1878	1.697
1879	1.6
1880	1.776
1881	1.292
1882	1.335
1883	1.315
1884	1.504
1885	1.513
1886	1.202
1887	0.958
1888	1.131
1889	1.078
1890	1.243
1891	1.233
1892	1.465
1893	1.316
1894	1.248
1895	0.974
1896	1.08
1897	1.089
1898	1.285
1899	0.82
1900	1.333
1901	1.064
1902	1.207
1903	1.08
1904	1.288
1905	1.167
1906	1.158
1907	0.906
1908	1.014
1909	1.169
1910	0.82
1911	1.045
1912	0.931
1913	0.881
1914	0.695
1915	1.015
1916	0.496
1917	0.759
1918	1.074
1919	0.81
1920	0.905
1921	0.859
1922	0.876
1923	0.792
1924	0.864
1925	0.832
1926	0.925
1927	0.736
1928	0.785
1929	0.76
1930	0.714
1931	0.631
1932	0.43
1933	0.621
1934	0.449
1935	0.541
1936	0.61
1937	0.623
1938	0.757
1939	0.729
1940	0.608
1941	0.46
1942	1.015
1943	1.014
1944	0.865
1945	0.965
1946	0.791
1947	0.589
1948	0.887
1949	0.742
1950	0.803
1951	0.538
1952	0.716
1953	0.738
1954	0.977
1955	1.127
1956	1.137
1957	0.98
1958	0.97
1959	1.342
1960	1.064
1961	1.039
1962	0.944
1963	1.164
1964	1.217
1965	1.25
1966	1.188
1967	1.227
1968	1.128
1969	1.21
1970	0.995
1971	1.0
1972	1.109
1973	1.182
1974	0.956
1975	0.705
1976	0.822
1977	0.728
1978	0.813
1979	0.896
1980	0.716
1981	0.796
1982	0.791
1983	1.016
1984	0.969
1985	0.825
1986	1.15
1987	1.015
1988	0.991
1989	1.158
1990	1.033