# asia_russ057w - Khandiga 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/4464
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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_russ057w - Khandiga River - 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: Khandiga River
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 62.47
#	Southernmost_Latitude: 62.47
#	Easternmost_Longitude: 137.75
#	Westernmost_Longitude: 137.75
#	Elevation: 400 m
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# Data_Collection
#	Collection_Name: asia_russ057wB
#	Earliest_Year: 1787
#	Most_Recent_Year: 1991
#	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":"5.36359370201","T2":"18.2272860785","M1":"0.0223932672405","M2":"0.334063634311"}}
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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
1787	0.676
1788	0.652
1789	0.777
1790	0.744
1791	0.784
1792	0.856
1793	0.881
1794	0.944
1795	1.341
1796	0.822
1797	0.937
1798	0.866
1799	0.862
1800	1.073
1801	0.94
1802	1.142
1803	0.848
1804	0.726
1805	0.777
1806	0.842
1807	1.006
1808	0.923
1809	1.026
1810	1.075
1811	1.141
1812	1.166
1813	1.182
1814	1.168
1815	1.041
1816	0.956
1817	0.839
1818	0.842
1819	0.87
1820	0.943
1821	1.02
1822	1.159
1823	0.833
1824	1.255
1825	1.149
1826	1.181
1827	1.189
1828	1.186
1829	1.222
1830	1.019
1831	1.128
1832	1.039
1833	1.231
1834	1.062
1835	1.0
1836	1.207
1837	0.75
1838	1.111
1839	1.052
1840	0.989
1841	1.201
1842	0.944
1843	0.926
1844	0.9
1845	0.763
1846	0.751
1847	0.714
1848	0.687
1849	0.681
1850	0.653
1851	0.539
1852	0.564
1853	0.769
1854	0.814
1855	0.48
1856	0.808
1857	0.781
1858	1.053
1859	0.888
1860	1.003
1861	0.918
1862	0.771
1863	0.798
1864	0.978
1865	0.962
1866	1.043
1867	1.37
1868	1.553
1869	1.487
1870	1.37
1871	1.284
1872	1.521
1873	1.349
1874	1.36
1875	1.074
1876	1.168
1877	1.258
1878	1.514
1879	1.112
1880	1.183
1881	1.094
1882	1.288
1883	1.269
1884	1.085
1885	1.11
1886	0.929
1887	1.049
1888	0.772
1889	0.891
1890	1.05
1891	1.258
1892	1.017
1893	1.169
1894	0.942
1895	0.825
1896	0.911
1897	0.942
1898	1.032
1899	1.151
1900	0.769
1901	0.883
1902	0.924
1903	0.908
1904	1.048
1905	1.055
1906	1.098
1907	1.075
1908	1.167
1909	1.088
1910	1.064
1911	0.724
1912	0.812
1913	1.0
1914	0.942
1915	0.82
1916	0.917
1917	0.888
1918	0.879
1919	1.069
1920	0.907
1921	0.918
1922	0.994
1923	0.951
1924	0.87
1925	0.901
1926	0.718
1927	0.778
1928	0.772
1929	0.847
1930	0.848
1931	0.938
1932	0.679
1933	0.863
1934	0.989
1935	0.856
1936	1.032
1937	0.993
1938	1.172
1939	0.941
1940	1.267
1941	0.953
1942	0.92
1943	0.852
1944	0.798
1945	0.844
1946	0.993
1947	0.902
1948	0.983
1949	0.844
1950	0.805
1951	0.825
1952	0.839
1953	0.603
1954	0.907
1955	0.775
1956	0.81
1957	0.714
1958	0.527
1959	0.777
1960	0.749
1961	0.875
1962	0.908
1963	0.79
1964	0.993
1965	0.709
1966	0.627
1967	0.755
1968	0.71
1969	0.711
1970	0.728
1971	0.89
1972	0.968
1973	1.439
1974	1.364
1975	1.498
1976	1.218
1977	1.414
1978	1.334
1979	1.347
1980	1.136
1981	1.054
1982	1.076
1983	1.184
1984	0.741
1985	1.002
1986	1.075
1987	0.922
1988	0.903
1989	0.903
1990	0.834
1991	0.947