# northamerica_usa_ak089 - Lower Twin Lake - 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/5562
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# 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: northamerica_usa_ak089 - Lower Twin Lake - 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: Lower Twin Lake
#	Location:
#	Country: United States
#	Northernmost_Latitude: 60.65
#	Southernmost_Latitude: 60.65
#	Easternmost_Longitude: -154.02
#	Westernmost_Longitude: -154.02
#	Elevation: 580 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak089B
#	Earliest_Year: 1691
#	Most_Recent_Year: 2003
#	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":"5.62771213577","T2":"17.2879346195","M1":"0.0226007227623","M2":"0.392452362254"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
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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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1691	1.017
1692	1.064
1693	1.232
1694	1.806
1695	1.786
1696	1.005
1697	1.074
1698	0.941
1699	1.084
1700	0.745
1701	1.045
1702	1.155
1703	0.909
1704	1.245
1705	1.29
1706	0.866
1707	0.999
1708	1.12
1709	0.883
1710	0.943
1711	0.599
1712	0.67
1713	0.585
1714	0.572
1715	0.749
1716	0.761
1717	0.566
1718	0.59
1719	0.591
1720	0.988
1721	1.017
1722	1.022
1723	1.099
1724	0.975
1725	1.256
1726	1.026
1727	0.899
1728	0.948
1729	1.031
1730	0.965
1731	0.9
1732	1.128
1733	1.241
1734	1.213
1735	0.992
1736	0.879
1737	0.976
1738	0.999
1739	0.743
1740	0.623
1741	1.025
1742	1.225
1743	1.314
1744	0.986
1745	1.022
1746	1.06
1747	1.228
1748	1.551
1749	1.72
1750	1.779
1751	1.403
1752	1.546
1753	1.381
1754	1.07
1755	0.916
1756	0.743
1757	0.523
1758	0.655
1759	0.642
1760	0.755
1761	0.748
1762	0.801
1763	0.932
1764	0.944
1765	1.137
1766	1.42
1767	1.72
1768	1.682
1769	1.36
1770	0.917
1771	0.729
1772	0.739
1773	0.741
1774	0.93
1775	0.933
1776	0.948
1777	0.982
1778	0.808
1779	0.846
1780	0.516
1781	0.581
1782	0.7
1783	0.764
1784	0.615
1785	0.767
1786	0.785
1787	0.64
1788	0.655
1789	0.544
1790	0.644
1791	0.648
1792	0.668
1793	1.017
1794	1.106
1795	1.36
1796	1.35
1797	1.434
1798	0.904
1799	0.718
1800	0.82
1801	0.971
1802	0.955
1803	0.865
1804	0.701
1805	0.86
1806	0.904
1807	0.84
1808	1.07
1809	0.722
1810	0.571
1811	0.53
1812	0.603
1813	0.619
1814	0.557
1815	0.647
1816	0.778
1817	0.878
1818	0.866
1819	0.998
1820	1.091
1821	1.096
1822	0.86
1823	1.223
1824	0.931
1825	0.818
1826	0.973
1827	0.993
1828	0.909
1829	1.01
1830	0.904
1831	0.932
1832	1.021
1833	0.941
1834	0.812
1835	0.87
1836	0.963
1837	0.93
1838	1.232
1839	1.05
1840	1.134
1841	1.137
1842	1.011
1843	1.36
1844	1.26
1845	1.219
1846	1.027
1847	0.895
1848	1.201
1849	0.801
1850	0.767
1851	0.722
1852	1.067
1853	0.84
1854	0.966
1855	0.963
1856	0.714
1857	1.015
1858	1.125
1859	1.213
1860	0.866
1861	0.905
1862	0.953
1863	1.112
1864	1.374
1865	1.33
1866	0.89
1867	0.978
1868	0.698
1869	0.638
1870	0.75
1871	0.721
1872	1.022
1873	1.038
1874	1.037
1875	0.952
1876	1.048
1877	0.869
1878	0.653
1879	0.626
1880	0.72
1881	0.705
1882	0.831
1883	0.682
1884	0.84
1885	0.891
1886	1.1
1887	1.171
1888	1.098
1889	1.156
1890	1.294
1891	1.046
1892	1.343
1893	1.167
1894	1.188
1895	0.89
1896	1.034
1897	1.207
1898	1.061
1899	1.071
1900	0.972
1901	0.917
1902	0.861
1903	0.845
1904	0.747
1905	0.894
1906	0.936
1907	0.843
1908	0.763
1909	0.721
1910	0.67
1911	0.928
1912	0.662
1913	0.934
1914	0.69
1915	0.992
1916	1.112
1917	1.274
1918	1.272
1919	0.938
1920	1.05
1921	1.206
1922	1.084
1923	1.152
1924	1.127
1925	1.275
1926	0.966
1927	1.141
1928	1.238
1929	0.974
1930	0.754
1931	0.679
1932	0.889
1933	0.932
1934	0.774
1935	0.841
1936	0.948
1937	0.998
1938	0.938
1939	0.968
1940	0.72
1941	0.804
1942	0.896
1943	1.201
1944	0.998
1945	1.072
1946	1.301
1947	1.25
1948	1.32
1949	1.168
1950	1.214
1951	0.998
1952	1.123
1953	1.427
1954	0.969
1955	0.99
1956	1.024
1957	1.017
1958	0.717
1959	0.975
1960	0.968
1961	0.821
1962	0.725
1963	0.645
1964	0.995
1965	0.714
1966	0.883
1967	0.865
1968	0.848
1969	1.015
1970	0.782
1971	0.992
1972	0.738
1973	0.523
1974	0.783
1975	0.814
1976	0.809
1977	0.618
1978	0.534
1979	0.814
1980	0.827
1981	0.841
1982	0.969
1983	0.773
1984	0.748
1985	0.805
1986	0.824
1987	0.676
1988	1.003
1989	0.642
1990	0.761
1991	0.892
1992	0.997
1993	0.981
1994	1.325
1995	1.56
1996	1.644
1997	1.955
1998	1.146
1999	1.493
2000	1.083
2001	1.358
2002	1.652
2003	1.053