# northamerica_usa_in001 - Pulaski Woods - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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/3016
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_in001 - Pulaski Woods - 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.
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#	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: Pulaski Woods
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.05
#	Southernmost_Latitude: 41.05
#	Easternmost_Longitude: -86.7
#	Westernmost_Longitude: -86.7
#	Elevation: 250 m
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# Data_Collection
#	Collection_Name: northamerica_usa_in001B
#	Earliest_Year: 1744
#	Most_Recent_Year: 1985
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.5695494339","T2":"16.4264652035","M1":"0.0229386963476","M2":"0.556706292081"}}
#--------------------
# Species
#	Species_Name: white oak
#	Species_Code: QUAL
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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)
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##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1744	0.658
1745	0.886
1746	0.97
1747	1.269
1748	0.805
1749	0.791
1750	1.265
1751	1.186
1752	0.832
1753	0.896
1754	1.258
1755	1.101
1756	1.229
1757	0.938
1758	1.248
1759	1.28
1760	1.404
1761	1.291
1762	1.132
1763	0.932
1764	0.912
1765	0.915
1766	1.095
1767	0.779
1768	1.192
1769	1.074
1770	0.764
1771	1.012
1772	0.737
1773	0.993
1774	0.861
1775	1.009
1776	0.792
1777	0.835
1778	0.792
1779	1.064
1780	0.752
1781	0.963
1782	0.801
1783	0.713
1784	0.715
1785	0.812
1786	0.893
1787	0.879
1788	0.933
1789	0.802
1790	0.955
1791	0.88
1792	0.852
1793	0.855
1794	0.589
1795	0.91
1796	0.903
1797	0.942
1798	1.1
1799	0.795
1800	0.81
1801	1.001
1802	0.897
1803	0.915
1804	1.105
1805	1.052
1806	0.899
1807	0.951
1808	0.852
1809	0.801
1810	0.823
1811	0.548
1812	0.863
1813	0.827
1814	1.001
1815	0.991
1816	0.546
1817	0.88
1818	0.675
1819	0.774
1820	0.547
1821	0.743
1822	0.833
1823	1.091
1824	1.082
1825	1.051
1826	0.949
1827	1.013
1828	0.997
1829	0.698
1830	1.137
1831	0.772
1832	0.813
1833	0.892
1834	0.912
1835	0.83
1836	0.798
1837	0.857
1838	0.788
1839	0.566
1840	1.21
1841	0.924
1842	1.229
1843	0.953
1844	1.224
1845	1.009
1846	1.026
1847	1.184
1848	1.093
1849	1.198
1850	0.901
1851	1.092
1852	1.089
1853	1.394
1854	1.424
1855	1.172
1856	0.79
1857	1.201
1858	1.013
1859	0.797
1860	1.174
1861	1.236
1862	1.691
1863	1.257
1864	0.98
1865	1.381
1866	1.359
1867	0.907
1868	1.197
1869	1.617
1870	0.953
1871	0.873
1872	1.073
1873	1.138
1874	1.018
1875	1.166
1876	1.127
1877	1.089
1878	1.355
1879	1.216
1880	1.134
1881	1.229
1882	1.3
1883	0.936
1884	1.106
1885	1.016
1886	0.853
1887	0.876
1888	0.721
1889	0.957
1890	0.926
1891	0.981
1892	1.379
1893	1.024
1894	1.004
1895	0.74
1896	1.332
1897	1.304
1898	1.097
1899	1.039
1900	1.037
1901	0.9
1902	1.372
1903	1.269
1904	1.08
1905	1.205
1906	1.001
1907	1.124
1908	1.092
1909	1.139
1910	0.775
1911	0.874
1912	1.326
1913	0.957
1914	0.797
1915	1.302
1916	1.184
1917	1.044
1918	0.791
1919	0.76
1920	0.919
1921	0.711
1922	0.847
1923	0.782
1924	1.162
1925	0.832
1926	0.815
1927	1.017
1928	1.096
1929	0.926
1930	0.802
1931	0.736
1932	0.925
1933	0.807
1934	0.758
1935	1.095
1936	0.83
1937	1.018
1938	0.985
1939	0.898
1940	0.705
1941	0.811
1942	1.026
1943	1.005
1944	0.739
1945	0.94
1946	0.819
1947	0.851
1948	0.897
1949	0.877
1950	1.045
1951	1.046
1952	0.917
1953	0.988
1954	0.861
1955	0.811
1956	0.923
1957	1.007
1958	0.991
1959	0.851
1960	1.122
1961	1.184
1962	0.947
1963	0.924
1964	0.884
1965	0.973
1966	0.921
1967	0.935
1968	1.066
1969	1.072
1970	0.867
1971	1.111
1972	0.879
1973	0.975
1974	1.06
1975	1.192
1976	1.007
1977	0.89
1978	0.966
1979	0.943
1980	1.081
1981	1.13
1982	1.202
1983	1.025
1984	0.821
1985	1.095