# northamerica_usa_me016 - Hamlin Ridge Mount Katahdin - 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/2979
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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_me016 - Hamlin Ridge Mount Katahdin - 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: Hamlin Ridge Mount Katahdin
#	Location:
#	Country: United States
#	Northernmost_Latitude: 45.92
#	Southernmost_Latitude: 45.92
#	Easternmost_Longitude: -68.9
#	Westernmost_Longitude: -68.9
#	Elevation: 400 m
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# Data_Collection
#	Collection_Name: northamerica_usa_me016B
#	Earliest_Year: 1690
#	Most_Recent_Year: 1981
#	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":"5.33649928232","T2":"18.5260032601","M1":"0.0224247938798","M2":"0.280944348703"}}
#--------------------
# Species
#	Species_Name: red spruce
#	Species_Code: PCRU
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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
1690	0.984
1691	0.998
1692	1.174
1693	0.817
1694	1.191
1695	1.004
1696	0.83
1697	0.798
1698	1.078
1699	1.002
1700	0.65
1701	0.683
1702	0.748
1703	0.73
1704	0.879
1705	0.698
1706	1.166
1707	1.293
1708	1.088
1709	1.034
1710	0.792
1711	0.544
1712	0.832
1713	0.568
1714	0.604
1715	0.816
1716	0.577
1717	0.531
1718	0.887
1719	0.826
1720	0.645
1721	0.881
1722	0.82
1723	0.564
1724	0.879
1725	0.978
1726	0.827
1727	0.985
1728	0.904
1729	1.179
1730	0.978
1731	1.022
1732	0.774
1733	0.779
1734	0.887
1735	0.741
1736	0.668
1737	0.72
1738	0.752
1739	0.607
1740	0.584
1741	0.706
1742	0.847
1743	0.827
1744	0.928
1745	1.01
1746	1.259
1747	1.292
1748	0.852
1749	0.876
1750	0.818
1751	0.811
1752	0.838
1753	1.048
1754	1.117
1755	1.175
1756	1.06
1757	0.95
1758	0.895
1759	0.933
1760	0.778
1761	1.146
1762	1.14
1763	0.654
1764	0.462
1765	0.599
1766	0.75
1767	0.691
1768	0.668
1769	0.929
1770	0.927
1771	0.848
1772	0.944
1773	0.853
1774	0.807
1775	0.96
1776	0.72
1777	1.039
1778	0.931
1779	0.896
1780	0.854
1781	0.739
1782	0.932
1783	0.758
1784	0.954
1785	1.106
1786	1.253
1787	1.088
1788	1.066
1789	0.862
1790	1.003
1791	1.091
1792	0.88
1793	1.104
1794	0.902
1795	0.889
1796	0.913
1797	0.892
1798	0.997
1799	0.82
1800	0.918
1801	1.174
1802	0.817
1803	1.052
1804	1.177
1805	1.079
1806	1.396
1807	1.709
1808	0.975
1809	0.595
1810	0.594
1811	0.629
1812	0.926
1813	1.142
1814	1.006
1815	1.197
1816	1.14
1817	1.498
1818	1.307
1819	1.482
1820	0.969
1821	1.213
1822	1.425
1823	0.993
1824	0.989
1825	1.176
1826	0.971
1827	1.038
1828	0.881
1829	1.124
1830	1.346
1831	1.075
1832	1.173
1833	1.365
1834	1.448
1835	1.162
1836	1.144
1837	1.195
1838	1.026
1839	0.873
1840	1.029
1841	1.064
1842	1.052
1843	0.946
1844	0.805
1845	1.079
1846	1.17
1847	1.087
1848	1.272
1849	1.04
1850	1.178
1851	1.143
1852	1.204
1853	1.01
1854	1.089
1855	1.174
1856	1.103
1857	1.012
1858	1.187
1859	1.279
1860	1.248
1861	1.318
1862	1.274
1863	1.232
1864	1.208
1865	1.044
1866	1.033
1867	1.299
1868	1.04
1869	1.076
1870	1.113
1871	1.184
1872	0.858
1873	0.779
1874	0.738
1875	0.925
1876	0.758
1877	0.846
1878	0.819
1879	1.103
1880	1.017
1881	0.814
1882	0.879
1883	0.943
1884	0.912
1885	1.232
1886	1.381
1887	1.249
1888	1.242
1889	1.255
1890	1.195
1891	1.241
1892	1.25
1893	1.164
1894	1.031
1895	1.105
1896	1.21
1897	0.997
1898	1.11
1899	1.088
1900	1.121
1901	0.959
1902	0.93
1903	1.025
1904	1.189
1905	0.969
1906	0.941
1907	0.806
1908	0.884
1909	0.941
1910	0.992
1911	1.192
1912	1.104
1913	1.152
1914	0.799
1915	0.57
1916	0.775
1917	0.735
1918	0.474
1919	0.467
1920	0.603
1921	0.538
1922	0.709
1923	0.698
1924	1.033
1925	0.919
1926	0.869
1927	1.002
1928	1.009
1929	0.896
1930	0.997
1931	1.263
1932	1.512
1933	1.27
1934	1.228
1935	1.158
1936	0.816
1937	1.05
1938	0.713
1939	0.956
1940	0.65
1941	0.876
1942	0.818
1943	0.713
1944	0.694
1945	0.692
1946	0.73
1947	0.788
1948	0.811
1949	1.076
1950	0.991
1951	0.972
1952	0.805
1953	0.986
1954	0.76
1955	0.982
1956	0.817
1957	1.107
1958	1.088
1959	0.887
1960	0.779
1961	1.029
1962	0.761
1963	0.969
1964	0.841
1965	0.655
1966	0.658
1967	0.725
1968	0.57
1969	0.804
1970	0.865
1971	1.051
1972	0.908
1973	0.699
1974	0.809
1975	0.972
1976	0.826
1977	0.467
1978	0.645
1979	0.477
1980	0.451
1981	0.285