# asia_nepa041 - Tragdobuk - 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/3795
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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_nepa041 - Tragdobuk - Breitenmoser Tree Ring Chronology Data
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# 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: Tragdobuk
#	Location:
#	Country: Nepal
#	Northernmost_Latitude: 27.35
#	Southernmost_Latitude: 27.35
#	Easternmost_Longitude: 86.35
#	Westernmost_Longitude: 86.35
#	Elevation: 2950 m
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# Data_Collection
#	Collection_Name: asia_nepa041B
#	Earliest_Year: 1796
#	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":"4.05212696878","T2":"14.5452738304","M1":"0.0224805614282","M2":"0.545540633718"}}
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# Species
#	Species_Name: East Himalayan hemlock
#	Species_Code: TSDU
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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
1796	1.565
1797	1.11
1798	1.328
1799	0.92
1800	0.899
1801	1.088
1802	0.941
1803	0.826
1804	0.869
1805	0.691
1806	0.861
1807	0.64
1808	0.859
1809	0.848
1810	1.209
1811	0.879
1812	0.828
1813	0.774
1814	0.825
1815	0.907
1816	1.282
1817	0.842
1818	0.767
1819	0.377
1820	0.484
1821	0.815
1822	1.148
1823	1.204
1824	1.35
1825	0.988
1826	1.169
1827	0.932
1828	0.616
1829	0.739
1830	1.201
1831	1.083
1832	1.289
1833	1.128
1834	0.656
1835	0.558
1836	0.389
1837	0.391
1838	0.488
1839	1.101
1840	1.45
1841	1.704
1842	1.176
1843	1.034
1844	0.959
1845	0.771
1846	0.934
1847	0.612
1848	1.085
1849	0.567
1850	0.726
1851	0.685
1852	0.957
1853	1.094
1854	0.587
1855	0.519
1856	0.963
1857	0.876
1858	0.638
1859	0.754
1860	0.574
1861	0.56
1862	0.882
1863	0.506
1864	0.589
1865	0.87
1866	0.473
1867	0.495
1868	0.656
1869	0.795
1870	0.938
1871	1.25
1872	1.052
1873	0.981
1874	0.421
1875	0.57
1876	0.636
1877	0.606
1878	0.888
1879	0.875
1880	0.856
1881	1.325
1882	1.472
1883	1.173
1884	0.894
1885	0.945
1886	1.036
1887	0.815
1888	0.858
1889	0.811
1890	1.119
1891	1.654
1892	1.502
1893	1.114
1894	2.127
1895	1.117
1896	1.297
1897	1.27
1898	1.125
1899	0.952
1900	1.762
1901	1.057
1902	1.329
1903	1.189
1904	1.251
1905	0.29
1906	0.315
1907	0.609
1908	1.023
1909	0.812
1910	1.308
1911	1.167
1912	1.312
1913	1.479
1914	1.439
1915	1.085
1916	0.574
1917	0.891
1918	1.155
1919	1.188
1920	0.794
1921	0.704
1922	1.087
1923	1.268
1924	1.551
1925	1.097
1926	1.429
1927	1.36
1928	1.485
1929	1.51
1930	1.616
1931	1.191
1932	1.007
1933	1.046
1934	1.363
1935	1.084
1936	1.449
1937	1.191
1938	0.801
1939	0.608
1940	0.645
1941	0.554
1942	0.806
1943	0.707
1944	0.79
1945	0.561
1946	0.768
1947	0.792
1948	0.825
1949	0.828
1950	1.378
1951	1.099
1952	1.309
1953	0.662
1954	0.473
1955	0.942
1956	0.857
1957	1.119
1958	0.657
1959	0.796
1960	0.961
1961	0.412
1962	0.312
1963	0.505
1964	0.664
1965	0.467
1966	0.603
1967	0.691
1968	0.85
1969	0.789
1970	0.674
1971	1.092
1972	1.667
1973	1.046
1974	0.824
1975	1.129
1976	1.062
1977	1.471
1978	0.786
1979	0.913
1980	1.013
1981	1.406
1982	1.168
1983	0.816
1984	0.402
1985	0.514
1986	0.733
1987	0.783
1988	0.654
1989	0.656
1990	1.22
1991	0.929
1992	1.057
1993	0.924
1994	1.011