# asia_indi015 - Narkhanda - 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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# Original_Source_URL:
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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_indi015 - Narkhanda - 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 Vaganov–Shashkin 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 4–6 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 model’s 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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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
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# Site_Information
#	Site_Name: Narkhanda
#	Location:
#	Country: India
#	Northernmost_Latitude: 31.2
#	Southernmost_Latitude: 31.2
#	Easternmost_Longitude: 77.23
#	Westernmost_Longitude: 77.23
#	Elevation: 3000 m
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# Data_Collection
#	Collection_Name: asia_indi015B
#	Earliest_Year: 1716
#	Most_Recent_Year: 1989
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"sensitivity":"temperature"}{"T1":"4.26733718465"}{"T2":"15.8049922888"}{"M1":"0.0228376645278"}{"M2":"0.465957285855"}
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# Species
#	Species_Name: Himalayan silver fir
#	Species_Code: ABPI
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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
1716	0.927
1717	0.936
1718	1.062
1719	1.13
1720	1.501
1721	1.273
1722	1.582
1723	1.058
1724	1.043
1725	1.038
1726	0.722
1727	0.841
1728	0.996
1729	0.948
1730	0.903
1731	0.723
1732	1.19
1733	1.088
1734	1.132
1735	0.94
1736	1.051
1737	0.918
1738	0.887
1739	1.367
1740	0.984
1741	0.748
1742	1.01
1743	0.895
1744	0.817
1745	0.83
1746	0.828
1747	0.788
1748	1.032
1749	0.885
1750	0.922
1751	0.886
1752	0.7
1753	0.628
1754	0.877
1755	0.821
1756	1.211
1757	1.326
1758	1.222
1759	1.402
1760	1.272
1761	1.033
1762	0.961
1763	0.636
1764	0.814
1765	0.826
1766	0.877
1767	0.872
1768	1.297
1769	1.181
1770	1.432
1771	1.303
1772	0.859
1773	0.847
1774	0.808
1775	0.805
1776	0.807
1777	0.791
1778	0.855
1779	0.991
1780	1.196
1781	1.201
1782	0.738
1783	1.403
1784	1.4
1785	1.079
1786	1.566
1787	1.337
1788	1.191
1789	1.211
1790	1.166
1791	1.312
1792	1.254
1793	0.893
1794	0.885
1795	0.822
1796	1.112
1797	0.781
1798	1.235
1799	1.062
1800	0.828
1801	0.547
1802	0.585
1803	0.831
1804	0.723
1805	0.721
1806	0.655
1807	1.118
1808	1.312
1809	1.179
1810	1.284
1811	1.203
1812	0.829
1813	0.958
1814	1.243
1815	0.998
1816	0.662
1817	1.119
1818	0.868
1819	0.926
1820	0.712
1821	0.599
1822	0.796
1823	0.782
1824	0.856
1825	0.846
1826	0.564
1827	0.827
1828	0.82
1829	0.814
1830	0.763
1831	0.71
1832	0.736
1833	0.726
1834	0.691
1835	0.852
1836	1.029
1837	1.267
1838	1.04
1839	1.057
1840	1.049
1841	1.038
1842	0.915
1843	0.911
1844	0.98
1845	0.917
1846	0.92
1847	0.874
1848	0.868
1849	0.5
1850	0.647
1851	0.718
1852	0.791
1853	0.888
1854	0.846
1855	0.776
1856	0.869
1857	0.836
1858	0.627
1859	0.778
1860	0.892
1861	0.704
1862	0.752
1863	0.801
1864	0.702
1865	0.851
1866	0.845
1867	0.872
1868	0.998
1869	0.711
1870	0.687
1871	0.828
1872	0.856
1873	0.638
1874	0.688
1875	0.888
1876	0.998
1877	0.799
1878	0.969
1879	0.802
1880	0.836
1881	0.966
1882	0.89
1883	1.062
1884	0.893
1885	0.939
1886	1.351
1887	0.794
1888	0.831
1889	1.061
1890	0.819
1891	0.802
1892	0.354
1893	0.622
1894	0.817
1895	0.791
1896	0.678
1897	1.069
1898	0.802
1899	0.844
1900	1.075
1901	1.169
1902	1.201
1903	1.663
1904	1.552
1905	1.069
1906	1.027
1907	1.017
1908	1.086
1909	0.977
1910	0.9
1911	0.874
1912	0.85
1913	1.112
1914	1.6
1915	1.222
1916	1.06
1917	1.251
1918	1.074
1919	1.156
1920	1.107
1921	0.88
1922	1.007
1923	0.812
1924	1.021
1925	1.046
1926	1.095
1927	0.869
1928	0.895
1929	0.693
1930	0.897
1931	1.088
1932	0.775
1933	0.817
1934	1.05
1935	0.87
1936	1.089
1937	1.599
1938	0.982
1939	0.987
1940	1.3
1941	0.769
1942	0.737
1943	0.942
1944	0.889
1945	0.868
1946	1.279
1947	1.119
1948	1.089
1949	1.088
1950	1.034
1951	1.144
1952	1.066
1953	0.837
1954	0.838
1955	1.063
1956	0.998
1957	1.041
1958	0.998
1959	1.233
1960	0.986
1961	1.056
1962	0.849
1963	1.05
1964	1.013
1965	1.154
1966	1.191
1967	1.136
1968	1.356
1969	1.709
1970	1.107
1971	1.302
1972	1.324
1973	1.055
1974	0.833
1975	1.13
1976	1.023
1977	1.008
1978	1.086
1979	0.998
1980	0.862
1981	1.012
1982	0.917
1983	0.915
1984	0.665
1985	0.629
1986	0.574
1987	0.604
1988	0.802
1989	0.866