# asia_kore001 - Whachae Peak-Sorak Mountain - Breitenmoser Tree Ring Chronology Data
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#		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.
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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/4094
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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_kore001 - Whachae Peak-Sorak Mountain - 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: Whachae Peak-Sorak Mountain
#	Location:
#	Country: Korea, Republic of
#	Northernmost_Latitude: 38.13
#	Southernmost_Latitude: 38.13
#	Easternmost_Longitude: 128.47
#	Westernmost_Longitude: 128.47
#	Elevation: 1500 m
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# Data_Collection
#	Collection_Name: asia_kore001B
#	Earliest_Year: 1703
#	Most_Recent_Year: 1998
#	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":"4.69605778792","T2":"18.3666393371","M1":"0.0223979292156","M2":"0.315253658905"}}
#--------------------
# Species
#	Species_Name: Korean pine
#	Species_Code: PIKO
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# Chronology:
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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
#
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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
1703	0.745
1704	0.832
1705	0.76
1706	0.837
1707	0.809
1708	1.079
1709	0.799
1710	0.946
1711	0.93
1712	0.891
1713	0.634
1714	0.407
1715	0.662
1716	0.686
1717	0.764
1718	0.832
1719	0.777
1720	0.707
1721	0.97
1722	0.752
1723	1.087
1724	0.666
1725	0.847
1726	1.097
1727	0.879
1728	0.944
1729	0.984
1730	0.836
1731	0.985
1732	1.118
1733	1.018
1734	1.225
1735	1.346
1736	1.582
1737	1.141
1738	1.2
1739	1.224
1740	1.194
1741	0.983
1742	1.078
1743	1.1
1744	1.332
1745	1.44
1746	1.244
1747	0.833
1748	1.022
1749	0.906
1750	1.072
1751	1.054
1752	1.047
1753	1.32
1754	0.922
1755	0.948
1756	0.697
1757	1.016
1758	0.692
1759	0.765
1760	0.99
1761	1.105
1762	1.177
1763	0.745
1764	0.849
1765	0.963
1766	1.317
1767	1.332
1768	1.096
1769	1.247
1770	1.236
1771	0.943
1772	1.016
1773	1.067
1774	0.962
1775	1.03
1776	1.257
1777	1.062
1778	0.927
1779	1.112
1780	1.024
1781	1.131
1782	0.95
1783	0.87
1784	0.894
1785	0.702
1786	0.887
1787	0.975
1788	0.68
1789	0.63
1790	0.74
1791	0.993
1792	1.053
1793	1.369
1794	1.32
1795	0.907
1796	0.905
1797	0.965
1798	0.878
1799	0.879
1800	0.959
1801	0.791
1802	1.062
1803	1.154
1804	1.029
1805	1.091
1806	1.235
1807	0.926
1808	0.823
1809	0.796
1810	0.833
1811	1.006
1812	1.201
1813	0.959
1814	0.911
1815	1.08
1816	1.16
1817	0.92
1818	1.22
1819	1.218
1820	1.344
1821	1.179
1822	1.261
1823	0.949
1824	0.921
1825	0.985
1826	0.791
1827	1.067
1828	1.308
1829	1.247
1830	1.127
1831	0.983
1832	1.15
1833	1.074
1834	0.837
1835	0.8
1836	0.798
1837	0.844
1838	0.783
1839	0.58
1840	0.623
1841	0.275
1842	0.229
1843	0.199
1844	0.186
1845	0.323
1846	0.387
1847	0.521
1848	0.586
1849	0.817
1850	0.68
1851	0.759
1852	0.688
1853	0.945
1854	0.883
1855	1.006
1856	1.12
1857	1.076
1858	1.098
1859	0.917
1860	0.859
1861	0.853
1862	1.07
1863	1.067
1864	1.368
1865	1.192
1866	1.237
1867	1.005
1868	1.489
1869	1.028
1870	1.257
1871	1.52
1872	1.627
1873	1.303
1874	1.302
1875	1.251
1876	1.614
1877	1.326
1878	1.422
1879	0.973
1880	0.947
1881	0.944
1882	1.17
1883	1.178
1884	1.341
1885	0.982
1886	0.911
1887	0.91
1888	0.973
1889	1.14
1890	1.075
1891	1.131
1892	1.021
1893	0.954
1894	1.06
1895	1.373
1896	0.685
1897	0.608
1898	0.675
1899	0.878
1900	1.058
1901	1.26
1902	1.069
1903	0.998
1904	0.655
1905	0.779
1906	0.63
1907	0.85
1908	1.002
1909	0.79
1910	0.828
1911	0.797
1912	0.752
1913	0.696
1914	0.981
1915	1.083
1916	1.037
1917	0.829
1918	0.844
1919	0.889
1920	1.088
1921	1.043
1922	1.058
1923	1.093
1924	1.042
1925	0.917
1926	0.814
1927	0.99
1928	0.822
1929	0.829
1930	1.212
1931	1.162
1932	0.81
1933	0.657
1934	0.58
1935	0.705
1936	0.731
1937	0.851
1938	0.989
1939	1.297
1940	1.075
1941	1.215
1942	1.085
1943	1.443
1944	1.563
1945	1.083
1946	0.65
1947	0.655
1948	0.622
1949	0.788
1950	1.027
1951	1.067
1952	1.094
1953	1.292
1954	1.17
1955	1.052
1956	1.256
1957	1.078
1958	1.088
1959	0.768
1960	0.943
1961	1.191
1962	1.109
1963	1.037
1964	1.163
1965	0.884
1966	0.926
1967	0.799
1968	0.834
1969	0.67
1970	0.591
1971	0.504
1972	0.821
1973	0.966
1974	0.978
1975	0.843
1976	0.756
1977	0.836
1978	0.885
1979	0.976
1980	1.029
1981	0.776
1982	0.895
1983	0.914
1984	0.891
1985	1.141
1986	0.971
1987	0.874
1988	0.916
1989	1.188
1990	1.108
1991	1.166
1992	1.204
1993	0.828
1994	1.098
1995	1.22
1996	0.822
1997	1.148
1998	1.402