# northamerica_canada_cana221 - Boundary Bog - 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/3899
#
# 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_canada_cana221 - Boundary Bog - 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: Boundary Bog
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 53.95
#	Southernmost_Latitude: 53.95
#	Easternmost_Longitude: -106.33
#	Westernmost_Longitude: -106.33
#	Elevation: 611 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana221B
#	Earliest_Year: 1686
#	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":"2.85083296325","T2":"11.9402088527","M1":"0.0222143150967","M2":"0.13964385898"}}
#--------------------
# Species
#	Species_Name: tamarack
#	Species_Code: LALA
#--------------------
# 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
1686	2.809
1687	1.078
1688	0.665
1689	0.65
1690	0.385
1691	0.335
1692	0.39
1693	0.486
1694	0.729
1695	0.601
1696	0.649
1697	0.423
1698	0.365
1699	0.35
1700	0.243
1701	0.311
1702	0.461
1703	1.294
1704	2.695
1705	2.068
1706	1.581
1707	1.438
1708	0.994
1709	1.372
1710	0.723
1711	0.285
1712	0.378
1713	0.445
1714	1.403
1715	3.335
1716	3.292
1717	1.762
1718	0.917
1719	0.823
1720	0.675
1721	1.355
1722	0.755
1723	0.511
1724	0.925
1725	0.591
1726	0.355
1727	0.654
1728	0.98
1729	1.008
1730	0.485
1731	0.46
1732	0.658
1733	0.925
1734	0.649
1735	0.439
1736	0.202
1737	0.316
1738	0.419
1739	0.352
1740	0.475
1741	0.342
1742	0.305
1743	0.252
1744	0.178
1745	0.276
1746	0.544
1747	0.383
1748	0.389
1749	0.722
1750	0.482
1751	0.525
1752	0.46
1753	0.855
1754	2.397
1755	3.029
1756	2.412
1757	2.524
1758	3.287
1759	1.949
1760	0.868
1761	1.143
1762	1.226
1763	1.46
1764	0.979
1765	1.118
1766	0.607
1767	0.375
1768	0.521
1769	0.654
1770	0.449
1771	0.682
1772	0.524
1773	0.882
1774	1.011
1775	0.789
1776	0.772
1777	0.546
1778	0.6
1779	0.549
1780	0.29
1781	0.25
1782	0.299
1783	0.25
1784	0.14
1785	0.249
1786	0.225
1787	0.138
1788	0.079
1789	0.16
1790	0.141
1791	0.206
1792	0.314
1793	0.325
1794	0.412
1795	0.964
1796	1.375
1797	2.834
1798	2.59
1799	3.004
1800	2.859
1801	2.733
1802	2.007
1803	1.102
1804	1.532
1805	1.692
1806	2.634
1807	1.803
1808	1.104
1809	0.867
1810	0.891
1811	1.012
1812	0.884
1813	0.807
1814	0.701
1815	0.667
1816	0.495
1817	0.567
1818	0.417
1819	0.715
1820	0.725
1821	0.639
1822	0.535
1823	0.355
1824	0.373
1825	0.497
1826	0.527
1827	0.556
1828	0.402
1829	0.462
1830	0.416
1831	0.615
1832	0.549
1833	0.423
1834	0.573
1835	0.59
1836	0.473
1837	0.31
1838	0.229
1839	0.172
1840	0.344
1841	0.805
1842	0.684
1843	0.399
1844	0.931
1845	0.582
1846	0.703
1847	0.47
1848	0.395
1849	1.125
1850	1.383
1851	1.776
1852	1.2
1853	0.99
1854	0.756
1855	1.569
1856	1.663
1857	1.346
1858	1.324
1859	1.392
1860	1.247
1861	1.109
1862	0.723
1863	0.766
1864	0.862
1865	0.592
1866	1.52
1867	1.717
1868	0.882
1869	0.608
1870	0.35
1871	0.736
1872	1.536
1873	1.129
1874	0.605
1875	0.454
1876	0.427
1877	0.688
1878	0.861
1879	0.861
1880	1.078
1881	1.216
1882	0.68
1883	0.465
1884	0.311
1885	0.287
1886	0.642
1887	1.141
1888	1.576
1889	0.612
1890	0.407
1891	0.654
1892	0.848
1893	0.75
1894	0.67
1895	0.975
1896	1.813
1897	2.636
1898	2.085
1899	3.406
1900	3.015
1901	1.772
1902	0.949
1903	0.597
1904	0.466
1905	0.393
1906	0.305
1907	0.801
1908	1.066
1909	1.503
1910	0.876
1911	0.394
1912	0.489
1913	0.822
1914	0.868
1915	0.744
1916	0.435
1917	0.628
1918	0.655
1919	0.71
1920	0.126
1921	-0.012
1922	0.44
1923	0.36
1924	0.055
1925	0.157
1926	0.323
1927	0.119
1928	0.157
1929	0.232
1930	0.28
1931	0.549
1932	0.48
1933	0.56
1934	0.468
1935	0.556
1936	0.719
1937	1.313
1938	2.086
1939	3.279
1940	3.225
1941	3.466
1942	2.741
1943	2.689
1944	2.422
1945	2.612
1946	1.638
1947	2.083
1948	1.894
1949	2.024
1950	2.602
1951	1.889
1952	0.819
1953	0.336
1954	0.275
1955	0.154
1956	0.124
1957	0.312
1958	0.467
1959	0.672
1960	0.693
1961	0.637
1962	0.783
1963	0.485
1964	0.909
1965	0.788
1966	0.274
1967	0.295
1968	0.505
1969	0.489
1970	0.662
1971	0.574
1972	0.554
1973	0.684
1974	0.665
1975	0.628
1976	0.528
1977	0.689
1978	1.071
1979	0.762
1980	0.82
1981	0.979
1982	1.06
1983	1.012
1984	0.781
1985	1.062
1986	0.951
1987	0.769
1988	0.924
1989	1.164
1990	1.364
1991	1.266
1992	0.92
1993	0.719
1994	1.2
1995	0.784
1996	0.776
1997	0.897