# northamerica_canada_cana229 - Old Glory - 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/5523
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana229 - Old Glory - 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: Old Glory
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 49.15
#	Southernmost_Latitude: 49.15
#	Easternmost_Longitude: -117.9
#	Westernmost_Longitude: -117.9
#	Elevation: 1900 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana229B
#	Earliest_Year: 1757
#	Most_Recent_Year: 1997
#	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":"5.11150482194","T2":"18.4363966525","M1":"0.0222607663777","M2":"0.378513628479"}}
#--------------------
# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
#--------------------
# 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
1757	0.937
1758	0.907
1759	0.797
1760	0.782
1761	0.743
1762	0.741
1763	0.819
1764	0.984
1765	0.846
1766	0.74
1767	0.869
1768	0.941
1769	0.844
1770	0.715
1771	0.793
1772	0.67
1773	0.875
1774	0.928
1775	0.69
1776	0.946
1777	0.927
1778	0.965
1779	0.861
1780	0.865
1781	1.068
1782	1.023
1783	1.2
1784	0.993
1785	0.916
1786	0.976
1787	0.846
1788	0.966
1789	0.836
1790	1.072
1791	1.006
1792	1.034
1793	0.937
1794	1.113
1795	1.063
1796	0.948
1797	0.76
1798	0.823
1799	0.678
1800	0.85
1801	0.92
1802	0.858
1803	0.828
1804	0.923
1805	0.917
1806	0.711
1807	1.017
1808	0.964
1809	0.908
1810	0.653
1811	1.104
1812	1.042
1813	0.795
1814	0.789
1815	0.896
1816	0.997
1817	1.115
1818	0.832
1819	0.89
1820	0.881
1821	0.925
1822	1.07
1823	0.866
1824	0.643
1825	0.867
1826	0.718
1827	0.832
1828	0.937
1829	0.858
1830	0.897
1831	1.043
1832	0.656
1833	0.905
1834	1.121
1835	1.032
1836	0.782
1837	0.94
1838	0.636
1839	1.026
1840	0.738
1841	0.754
1842	0.888
1843	1.051
1844	0.868
1845	0.877
1846	0.927
1847	1.047
1848	1.068
1849	0.784
1850	0.818
1851	0.911
1852	0.842
1853	0.79
1854	0.659
1855	0.695
1856	0.606
1857	0.714
1858	0.766
1859	1.085
1860	0.904
1861	0.928
1862	0.983
1863	1.068
1864	0.915
1865	1.136
1866	1.052
1867	0.872
1868	1.076
1869	0.912
1870	0.906
1871	1.086
1872	1.117
1873	1.174
1874	1.188
1875	1.123
1876	1.078
1877	1.246
1878	1.435
1879	1.404
1880	1.316
1881	1.136
1882	1.196
1883	1.154
1884	0.994
1885	1.343
1886	1.396
1887	1.13
1888	1.336
1889	1.166
1890	1.184
1891	1.233
1892	1.205
1893	1.086
1894	1.133
1895	1.124
1896	1.125
1897	1.198
1898	1.435
1899	1.101
1900	1.167
1901	1.079
1902	1.032
1903	1.169
1904	1.377
1905	1.153
1906	1.173
1907	1.16
1908	1.248
1909	0.982
1910	1.076
1911	1.018
1912	1.116
1913	1.077
1914	1.211
1915	0.928
1916	1.01
1917	1.079
1918	1.061
1919	1.186
1920	1.158
1921	0.849
1922	0.984
1923	0.801
1924	0.849
1925	0.927
1926	0.701
1927	0.755
1928	0.81
1929	0.855
1930	0.887
1931	0.847
1932	1.126
1933	1.291
1934	1.258
1935	1.135
1936	1.259
1937	1.17
1938	1.287
1939	1.018
1940	1.062
1941	0.974
1942	0.919
1943	1.02
1944	1.221
1945	1.238
1946	0.936
1947	1.104
1948	1.195
1949	1.376
1950	1.327
1951	1.102
1952	1.203
1953	1.092
1954	1.03
1955	1.043
1956	1.043
1957	1.139
1958	1.298
1959	1.006
1960	1.189
1961	1.09
1962	0.96
1963	1.138
1964	0.956
1965	1.295
1966	1.195
1967	1.109
1968	0.645
1969	0.781
1970	1.011
1971	0.789
1972	0.611
1973	0.859
1974	0.675
1975	0.869
1976	0.775
1977	1.006
1978	0.93
1979	0.929
1980	0.641
1981	0.747
1982	0.687
1983	0.597
1984	0.935
1985	0.736
1986	0.746
1987	0.889
1988	0.831
1989	0.764
1990	0.813
1991	0.586
1992	0.899
1993	0.625
1994	0.932
1995	0.659
1996	0.725
1997	0.67