# asia_russ188 - Allayka - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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.
#
#
# 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/3561
#
# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: asia_russ188 - Allayka - 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.
#--------------------
#	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: Allayka
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 70.05
#	Southernmost_Latitude: 70.05
#	Easternmost_Longitude: 146.45
#	Westernmost_Longitude: 146.45
#	Elevation: 80 m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ188B
#	Earliest_Year: 1676
#	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":"5.60207452515","T2":"17.7170743482","M1":"0.0212043857429","M2":"0.333285541983"}}
#--------------------
# Species
#	Species_Name: Dahurian larch
#	Species_Code: LAGM
#--------------------
# Chronology:
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#
#
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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)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1676	0.768
1677	0.905
1678	0.688
1679	0.678
1680	0.069
1681	0.537
1682	1.173
1683	0.886
1684	0.7
1685	0.83
1686	0.904
1687	0.697
1688	0.72
1689	0.823
1690	0.464
1691	0.755
1692	0.7
1693	1.319
1694	1.021
1695	0.234
1696	0.56
1697	1.53
1698	0.443
1699	1.254
1700	1.053
1701	1.556
1702	1.259
1703	1.374
1704	1.13
1705	1.052
1706	0.878
1707	1.3
1708	1.103
1709	0.885
1710	1.152
1711	0.673
1712	0.623
1713	0.86
1714	0.667
1715	0.995
1716	1.407
1717	0.532
1718	0.71
1719	1.319
1720	1.297
1721	1.19
1722	1.644
1723	1.498
1724	0.786
1725	0.543
1726	0.897
1727	1.154
1728	1.203
1729	1.197
1730	0.439
1731	0.747
1732	1.498
1733	1.13
1734	1.173
1735	0.742
1736	1.006
1737	0.593
1738	0.772
1739	1.117
1740	0.514
1741	0.672
1742	0.985
1743	0.731
1744	0.547
1745	1.051
1746	0.821
1747	0.989
1748	1.066
1749	1.256
1750	1.287
1751	0.867
1752	1.209
1753	0.784
1754	0.711
1755	1.285
1756	0.708
1757	1.436
1758	1.084
1759	0.871
1760	0.783
1761	0.82
1762	0.291
1763	1.49
1764	0.76
1765	1.098
1766	1.079
1767	0.847
1768	0.673
1769	0.504
1770	0.567
1771	1.216
1772	0.693
1773	0.924
1774	0.805
1775	1.131
1776	0.657
1777	1.123
1778	1.204
1779	0.674
1780	0.467
1781	1.08
1782	1.251
1783	1.373
1784	1.059
1785	1.237
1786	1.023
1787	0.877
1788	0.793
1789	1.375
1790	1.137
1791	1.036
1792	1.256
1793	1.048
1794	0.664
1795	1.017
1796	0.633
1797	0.918
1798	0.838
1799	0.896
1800	0.8
1801	0.144
1802	1.258
1803	0.844
1804	0.456
1805	1.245
1806	1.01
1807	0.979
1808	1.069
1809	0.896
1810	1.112
1811	1.268
1812	0.659
1813	0.679
1814	0.846
1815	0.849
1816	1.015
1817	0.12
1818	0.472
1819	1.199
1820	1.028
1821	0.95
1822	0.315
1823	0.654
1824	0.934
1825	0.738
1826	0.786
1827	0.277
1828	0.582
1829	0.664
1830	0.564
1831	0.883
1832	0.847
1833	1.205
1834	1.116
1835	1.332
1836	1.63
1837	0.242
1838	0.717
1839	0.384
1840	0.525
1841	0.144
1842	0.553
1843	0.641
1844	0.489
1845	0.846
1846	0.86
1847	0.944
1848	0.485
1849	0.328
1850	0.671
1851	0.337
1852	0.54
1853	0.715
1854	0.985
1855	0.904
1856	0.703
1857	0.482
1858	1.886
1859	0.791
1860	1.253
1861	1.558
1862	0.937
1863	0.466
1864	0.595
1865	1.256
1866	1.289
1867	1.353
1868	1.273
1869	1.508
1870	1.834
1871	1.193
1872	1.195
1873	1.314
1874	1.24
1875	0.806
1876	1.53
1877	1.137
1878	1.423
1879	1.408
1880	1.272
1881	1.012
1882	1.055
1883	1.313
1884	1.011
1885	1.104
1886	0.937
1887	0.758
1888	1.006
1889	0.832
1890	1.168
1891	1.239
1892	0.644
1893	0.892
1894	0.923
1895	0.973
1896	0.628
1897	0.994
1898	1.032
1899	0.724
1900	0.692
1901	1.055
1902	1.558
1903	1.2
1904	0.904
1905	0.755
1906	0.893
1907	1.016
1908	0.752
1909	1.031
1910	1.059
1911	1.134
1912	1.593
1913	1.306
1914	1.687
1915	0.732
1916	0.815
1917	1.148
1918	0.726
1919	0.703
1920	0.893
1921	0.863
1922	1.032
1923	0.762
1924	1.013
1925	1.036
1926	0.806
1927	0.835
1928	0.917
1929	1.079
1930	1.31
1931	0.939
1932	1.225
1933	1.762
1934	1.283
1935	1.216
1936	1.261
1937	0.766
1938	1.681
1939	1.482
1940	1.699
1941	0.699
1942	1.377
1943	1.407
1944	1.668
1945	0.481
1946	0.936
1947	1.411
1948	1.363
1949	0.955
1950	1.045
1951	1.262
1952	1.318
1953	1.034
1954	0.911
1955	1.277
1956	1.408
1957	0.705
1958	1.041
1959	0.828
1960	1.545
1961	1.473
1962	0.568
1963	0.866
1964	0.978
1965	1.065
1966	0.988
1967	1.015
1968	1.241
1969	1.014
1970	0.977
1971	0.684
1972	0.474
1973	1.166
1974	1.247
1975	0.862
1976	0.774
1977	0.905
1978	0.473
1979	0.332
1980	0.64
1981	0.439
1982	0.677
1983	0.662
1984	0.35
1985	0.845
1986	0.969
1987	0.694
1988	0.585
1989	0.616
1990	0.687
1991	0.572
1992	0.235
1993	0.88
1994	0.713