# northamerica_usa_ak064 - Frost Valley - 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.
#
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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/3051
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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_ak064 - Frost Valley - 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: Frost Valley
#	Location:
#	Country: United States
#	Northernmost_Latitude: 65.08
#	Southernmost_Latitude: 65.08
#	Easternmost_Longitude: -162.15
#	Westernmost_Longitude: -162.15
#	Elevation: 229 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ak064B
#	Earliest_Year: 1711
#	Most_Recent_Year: 2002
#	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":"5.72342473688","T2":"17.2126150143","M1":"0.0224692449836","M2":"0.399194004071"}}
#--------------------
# 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
1711	0.848
1712	1.04
1713	0.973
1714	0.915
1715	0.901
1716	0.982
1717	0.918
1718	1.006
1719	1.034
1720	1.191
1721	1.164
1722	1.245
1723	1.28
1724	1.06
1725	1.204
1726	0.938
1727	1.061
1728	0.864
1729	0.961
1730	0.966
1731	1.132
1732	1.11
1733	1.136
1734	0.94
1735	0.684
1736	0.874
1737	0.97
1738	0.933
1739	1.137
1740	1.017
1741	1.011
1742	0.712
1743	1.168
1744	0.707
1745	0.868
1746	1.005
1747	1.038
1748	1.291
1749	1.504
1750	1.57
1751	0.934
1752	1.428
1753	1.021
1754	0.932
1755	0.931
1756	0.909
1757	0.876
1758	0.978
1759	0.978
1760	1.104
1761	1.301
1762	0.985
1763	1.042
1764	0.89
1765	0.795
1766	1.1
1767	1.003
1768	1.018
1769	1.06
1770	1.131
1771	0.796
1772	0.572
1773	0.5
1774	0.565
1775	0.45
1776	0.453
1777	0.407
1778	0.557
1779	0.512
1780	0.283
1781	0.612
1782	0.521
1783	0.526
1784	0.616
1785	0.661
1786	0.73
1787	0.815
1788	0.954
1789	0.888
1790	1.154
1791	1.353
1792	1.557
1793	1.447
1794	1.694
1795	1.588
1796	1.427
1797	1.116
1798	1.153
1799	1.059
1800	1.094
1801	1.135
1802	1.139
1803	1.218
1804	0.897
1805	0.872
1806	0.913
1807	0.791
1808	1.049
1809	0.63
1810	0.8
1811	0.832
1812	0.901
1813	0.865
1814	0.879
1815	0.828
1816	0.631
1817	1.014
1818	1.067
1819	1.1
1820	1.359
1821	1.231
1822	0.768
1823	1.123
1824	1.197
1825	1.193
1826	0.912
1827	1.107
1828	0.971
1829	1.091
1830	1.02
1831	1.055
1832	1.006
1833	0.868
1834	0.817
1835	0.863
1836	0.7
1837	0.732
1838	0.824
1839	0.651
1840	0.754
1841	0.675
1842	0.82
1843	0.792
1844	0.983
1845	0.839
1846	0.895
1847	1.067
1848	1.103
1849	1.025
1850	1.07
1851	0.943
1852	1.205
1853	1.335
1854	1.159
1855	1.418
1856	1.013
1857	1.562
1858	1.45
1859	1.178
1860	1.332
1861	1.148
1862	0.934
1863	1.015
1864	1.003
1865	1.034
1866	0.794
1867	1.08
1868	0.858
1869	0.943
1870	1.037
1871	0.877
1872	0.923
1873	1.027
1874	1.063
1875	1.03
1876	1.089
1877	1.219
1878	1.265
1879	1.18
1880	1.171
1881	1.158
1882	1.351
1883	1.134
1884	1.163
1885	1.13
1886	0.972
1887	0.998
1888	0.93
1889	1.009
1890	1.101
1891	1.128
1892	1.093
1893	1.006
1894	1.103
1895	1.043
1896	0.878
1897	1.067
1898	0.789
1899	0.414
1900	0.746
1901	0.622
1902	0.837
1903	0.797
1904	0.729
1905	0.733
1906	1.025
1907	0.909
1908	0.888
1909	0.761
1910	0.78
1911	1.044
1912	0.682
1913	0.982
1914	1.039
1915	1.088
1916	1.081
1917	0.992
1918	1.13
1919	0.855
1920	1.137
1921	1.244
1922	0.627
1923	1.116
1924	0.97
1925	1.115
1926	1.306
1927	1.297
1928	1.133
1929	1.108
1930	1.002
1931	0.783
1932	1.036
1933	0.952
1934	0.877
1935	1.151
1936	1.04
1937	1.121
1938	0.892
1939	1.058
1940	0.692
1941	0.882
1942	1.065
1943	1.336
1944	1.084
1945	0.975
1946	1.028
1947	0.867
1948	1.031
1949	0.724
1950	0.965
1951	0.998
1952	1.395
1953	1.306
1954	1.135
1955	1.264
1956	1.169
1957	1.251
1958	1.423
1959	1.381
1960	1.404
1961	0.99
1962	1.109
1963	0.948
1964	1.136
1965	0.83
1966	1.082
1967	1.007
1968	0.786
1969	0.726
1970	0.867
1971	0.974
1972	0.958
1973	0.814
1974	0.962
1975	0.788
1976	0.732
1977	0.863
1978	0.469
1979	0.761
1980	0.678
1981	0.698
1982	0.967
1983	0.811
1984	0.942
1985	1.011
1986	0.814
1987	0.955
1988	0.802
1989	0.928
1990	0.928
1991	0.891
1992	0.953
1993	0.821
1994	0.714
1995	0.646
1996	0.774
1997	0.96
1998	0.917
1999	0.954
2000	0.923
2001	0.977
2002	0.833