# northamerica_usa_ny012 - Spruce Glen - 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/3031
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ny012 - Spruce Glen - 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: Spruce Glen
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.77
#	Southernmost_Latitude: 41.77
#	Easternmost_Longitude: -74.18
#	Westernmost_Longitude: -74.18
#	Elevation: 200 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ny012B
#	Earliest_Year: 1671
#	Most_Recent_Year: 1984
#	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":"4.58056571407","T2":"12.8817658476","M1":"0.0217043511914","M2":"0.308321063741"}}
#--------------------
# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
#--------------------
# 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
1671	0.724
1672	0.755
1673	1.003
1674	1.125
1675	0.956
1676	0.966
1677	0.971
1678	1.089
1679	0.969
1680	1.008
1681	0.802
1682	0.972
1683	0.831
1684	1.088
1685	0.849
1686	0.793
1687	0.747
1688	0.859
1689	0.931
1690	0.993
1691	0.905
1692	1.072
1693	1.272
1694	1.048
1695	1.283
1696	0.975
1697	0.765
1698	0.791
1699	0.694
1700	0.44
1701	0.491
1702	0.33
1703	0.783
1704	0.769
1705	1.079
1706	1.504
1707	1.119
1708	1.022
1709	1.145
1710	0.997
1711	1.081
1712	1.068
1713	1.027
1714	1.191
1715	1.048
1716	0.967
1717	1.052
1718	1.156
1719	1.105
1720	1.044
1721	1.155
1722	1.003
1723	0.834
1724	0.991
1725	1.228
1726	1.175
1727	1.164
1728	1.016
1729	1.06
1730	1.077
1731	1.157
1732	1.138
1733	1.102
1734	1.241
1735	1.115
1736	1.104
1737	0.946
1738	1.002
1739	1.056
1740	1.451
1741	1.203
1742	1.347
1743	1.302
1744	1.335
1745	1.446
1746	1.286
1747	1.096
1748	1.063
1749	0.946
1750	1.033
1751	1.198
1752	1.339
1753	1.408
1754	1.389
1755	1.178
1756	1.32
1757	1.247
1758	1.02
1759	1.175
1760	0.942
1761	0.969
1762	0.774
1763	0.756
1764	1.108
1765	1.023
1766	0.974
1767	0.81
1768	0.801
1769	1.079
1770	0.65
1771	0.622
1772	0.7
1773	0.785
1774	0.808
1775	1.1
1776	1.199
1777	1.317
1778	1.454
1779	1.011
1780	0.902
1781	0.853
1782	1.076
1783	1.039
1784	0.834
1785	0.806
1786	0.962
1787	0.994
1788	1.196
1789	1.362
1790	1.035
1791	0.825
1792	0.611
1793	0.717
1794	0.729
1795	0.792
1796	0.757
1797	0.945
1798	0.75
1799	0.609
1800	0.547
1801	0.966
1802	1.174
1803	1.484
1804	0.974
1805	1.224
1806	1.134
1807	1.383
1808	1.633
1809	1.634
1810	1.286
1811	1.338
1812	1.374
1813	1.417
1814	1.101
1815	1.809
1816	1.443
1817	1.352
1818	1.113
1819	0.665
1820	0.611
1821	0.703
1822	0.682
1823	1.096
1824	0.99
1825	1.173
1826	0.737
1827	0.875
1828	1.05
1829	0.73
1830	1.051
1831	1.127
1832	1.424
1833	1.216
1834	1.383
1835	1.02
1836	0.731
1837	0.451
1838	0.572
1839	0.208
1840	0.355
1841	0.367
1842	0.611
1843	0.659
1844	0.593
1845	0.733
1846	0.432
1847	0.647
1848	0.804
1849	0.919
1850	0.924
1851	1.084
1852	1.094
1853	1.18
1854	1.169
1855	0.622
1856	0.543
1857	0.835
1858	1.194
1859	0.972
1860	1.19
1861	1.11
1862	0.81
1863	0.899
1864	0.944
1865	0.601
1866	0.933
1867	1.052
1868	1.23
1869	0.806
1870	0.807
1871	0.884
1872	0.727
1873	0.643
1874	0.856
1875	1.189
1876	0.878
1877	0.482
1878	0.749
1879	0.896
1880	1.333
1881	1.018
1882	1.404
1883	1.071
1884	1.52
1885	1.421
1886	1.195
1887	0.981
1888	1.056
1889	1.049
1890	1.364
1891	1.175
1892	1.419
1893	1.197
1894	1.433
1895	0.905
1896	1.001
1897	1.251
1898	1.424
1899	0.78
1900	0.777
1901	0.649
1902	1.196
1903	1.216
1904	1.277
1905	1.4
1906	1.074
1907	0.994
1908	0.763
1909	0.913
1910	1.19
1911	0.901
1912	0.819
1913	1.071
1914	0.813
1915	1.198
1916	1.149
1917	1.028
1918	0.805
1919	0.941
1920	0.825
1921	0.993
1922	0.807
1923	0.775
1924	0.843
1925	1.262
1926	1.013
1927	0.992
1928	1.028
1929	0.733
1930	0.525
1931	0.419
1932	0.754
1933	0.726
1934	0.53
1935	0.724
1936	0.78
1937	0.67
1938	0.886
1939	0.875
1940	0.634
1941	0.913
1942	1.0
1943	0.906
1944	0.72
1945	0.713
1946	1.518
1947	1.358
1948	1.162
1949	1.213
1950	1.069
1951	1.292
1952	1.151
1953	0.992
1954	1.163
1955	1.078
1956	0.806
1957	0.925
1958	0.954
1959	0.74
1960	0.477
1961	0.837
1962	0.642
1963	0.923
1964	0.932
1965	0.746
1966	1.036
1967	1.061
1968	1.068
1969	0.888
1970	1.159
1971	1.347
1972	0.597
1973	0.85
1974	0.636
1975	0.603
1976	0.63
1977	0.697
1978	0.543
1979	0.606
1980	0.545
1981	0.639
1982	0.6
1983	0.853
1984	0.642