# asia_nepa023 - KatyaKhola-2 - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3781
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: asia_nepa023 - KatyaKhola-2 - 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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: KatyaKhola-2
#	Location:
#	Country: Nepal
#	Northernmost_Latitude: 29.3
#	Southernmost_Latitude: 29.3
#	Easternmost_Longitude: 82.02
#	Westernmost_Longitude: 82.02
#	Elevation: 3330 m
#--------------------
# Data_Collection
#	Collection_Name: asia_nepa023B
#	Earliest_Year: 1656
#	Most_Recent_Year: 1997
#	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":"3.99329911899","T2":"12.3095612365","M1":"0.0234088294428","M2":"0.589123723462"}}
#--------------------
# Species
#	Species_Name: silver fir
#	Species_Code: ABSB
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1656	0.945
1657	0.955
1658	0.978
1659	0.936
1660	0.843
1661	0.917
1662	0.892
1663	0.818
1664	0.981
1665	0.921
1666	0.959
1667	0.978
1668	0.823
1669	1.032
1670	1.089
1671	1.055
1672	0.974
1673	1.041
1674	0.77
1675	0.606
1676	0.822
1677	0.824
1678	1.053
1679	1.195
1680	1.151
1681	1.278
1682	1.29
1683	1.033
1684	0.917
1685	1.096
1686	1.005
1687	1.161
1688	1.115
1689	1.101
1690	1.405
1691	1.202
1692	1.022
1693	0.959
1694	0.745
1695	1.038
1696	0.93
1697	0.929
1698	0.936
1699	0.96
1700	0.766
1701	0.769
1702	0.732
1703	0.827
1704	0.95
1705	0.786
1706	0.653
1707	0.692
1708	1.054
1709	1.253
1710	1.134
1711	1.044
1712	0.801
1713	0.721
1714	0.705
1715	0.685
1716	0.98
1717	0.762
1718	0.713
1719	0.848
1720	0.755
1721	0.811
1722	0.769
1723	0.716
1724	0.979
1725	1.168
1726	1.065
1727	1.087
1728	1.016
1729	0.925
1730	1.131
1731	1.156
1732	1.121
1733	1.297
1734	1.272
1735	0.999
1736	0.965
1737	0.971
1738	1.01
1739	1.02
1740	0.95
1741	0.659
1742	0.858
1743	0.853
1744	0.91
1745	0.732
1746	1.015
1747	0.96
1748	1.12
1749	0.917
1750	0.881
1751	1.185
1752	1.186
1753	1.181
1754	1.162
1755	0.835
1756	0.801
1757	0.761
1758	0.892
1759	1.198
1760	0.774
1761	0.888
1762	0.705
1763	0.781
1764	0.863
1765	0.769
1766	0.742
1767	0.651
1768	0.565
1769	0.675
1770	0.731
1771	0.925
1772	0.859
1773	0.875
1774	0.729
1775	0.706
1776	0.872
1777	0.961
1778	0.932
1779	0.992
1780	0.873
1781	0.741
1782	0.766
1783	0.871
1784	1.058
1785	1.196
1786	1.208
1787	1.224
1788	1.219
1789	0.956
1790	0.926
1791	1.05
1792	0.943
1793	0.631
1794	0.644
1795	0.674
1796	0.871
1797	1.121
1798	1.228
1799	0.837
1800	1.032
1801	0.935
1802	0.961
1803	1.289
1804	0.996
1805	0.969
1806	1.072
1807	1.209
1808	1.269
1809	1.093
1810	1.017
1811	0.989
1812	0.935
1813	0.817
1814	0.972
1815	0.733
1816	0.867
1817	0.887
1818	0.943
1819	0.927
1820	1.059
1821	0.803
1822	0.809
1823	0.758
1824	0.861
1825	1.099
1826	1.131
1827	1.372
1828	1.218
1829	1.117
1830	0.957
1831	0.916
1832	1.113
1833	0.981
1834	0.852
1835	0.836
1836	0.714
1837	0.764
1838	0.835
1839	1.02
1840	1.257
1841	1.246
1842	0.957
1843	0.947
1844	0.926
1845	1.122
1846	1.19
1847	1.219
1848	1.331
1849	1.171
1850	1.239
1851	1.179
1852	1.183
1853	1.135
1854	1.412
1855	1.345
1856	1.476
1857	1.542
1858	1.361
1859	1.198
1860	1.1
1861	1.263
1862	1.229
1863	1.224
1864	1.065
1865	0.969
1866	0.855
1867	0.813
1868	0.916
1869	0.909
1870	0.935
1871	1.061
1872	0.877
1873	0.8
1874	0.801
1875	0.802
1876	0.96
1877	0.964
1878	1.079
1879	1.039
1880	0.998
1881	1.206
1882	1.278
1883	1.312
1884	1.065
1885	1.051
1886	1.507
1887	1.036
1888	0.999
1889	1.03
1890	1.109
1891	1.17
1892	0.753
1893	1.064
1894	1.12
1895	0.876
1896	1.13
1897	1.102
1898	0.84
1899	0.983
1900	1.256
1901	1.073
1902	1.065
1903	1.029
1904	0.895
1905	0.878
1906	0.857
1907	0.834
1908	0.841
1909	0.821
1910	0.894
1911	1.112
1912	0.99
1913	0.913
1914	1.027
1915	1.172
1916	1.147
1917	1.337
1918	1.219
1919	1.249
1920	1.303
1921	0.806
1922	0.767
1923	0.811
1924	0.946
1925	0.848
1926	0.897
1927	0.771
1928	0.758
1929	0.872
1930	1.014
1931	0.887
1932	0.657
1933	0.88
1934	0.963
1935	0.611
1936	0.774
1937	0.791
1938	0.945
1939	0.733
1940	0.909
1941	0.794
1942	0.902
1943	1.03
1944	0.725
1945	0.692
1946	0.871
1947	1.116
1948	0.891
1949	0.794
1950	0.838
1951	0.936
1952	0.885
1953	0.729
1954	0.59
1955	0.584
1956	0.79
1957	0.856
1958	0.683
1959	0.709
1960	0.813
1961	0.881
1962	0.566
1963	0.811
1964	0.96
1965	0.873
1966	0.87
1967	0.693
1968	0.55
1969	0.736
1970	0.618
1971	0.735
1972	0.813
1973	0.994
1974	0.906
1975	1.072
1976	1.27
1977	1.39
1978	1.009
1979	0.932
1980	0.799
1981	0.714
1982	0.949
1983	0.95
1984	0.89
1985	0.835
1986	1.04
1987	1.086
1988	1.123
1989	0.967
1990	1.151
1991	1.298
1992	1.023
1993	1.173
1994	1.047
1995	0.783
1996	0.913
1997	0.985