# northamerica_usa_vt005 - Bolton Mountain Middle - 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/8515
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_vt005 - Bolton Mountain Middle - 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: Bolton Mountain Middle
#	Location:
#	Country: United States
#	Northernmost_Latitude: 44.45
#	Southernmost_Latitude: 44.45
#	Easternmost_Longitude: -72.85
#	Westernmost_Longitude: -72.85
#	Elevation: 725 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_vt005B
#	Earliest_Year: 1781
#	Most_Recent_Year: 2005
#	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":"3.00211465551","T2":"15.990396555","M1":"0.0226286169358","M2":"0.400517040152"}}
#--------------------
# Species
#	Species_Name: red spruce
#	Species_Code: PCRU
#--------------------
# 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
1781	1.038
1782	0.996
1783	0.854
1784	1.07
1785	1.339
1786	1.365
1787	1.218
1788	1.224
1789	0.867
1790	1.11
1791	1.195
1792	0.929
1793	1.225
1794	0.859
1795	0.625
1796	0.831
1797	1.052
1798	1.05
1799	0.621
1800	0.79
1801	0.874
1802	0.751
1803	1.053
1804	0.508
1805	0.667
1806	0.399
1807	0.567
1808	0.304
1809	0.336
1810	0.349
1811	0.427
1812	0.279
1813	0.499
1814	0.374
1815	0.646
1816	0.701
1817	0.769
1818	0.501
1819	0.619
1820	0.342
1821	0.371
1822	0.491
1823	0.406
1824	0.414
1825	0.45
1826	0.394
1827	0.593
1828	0.454
1829	0.336
1830	0.916
1831	0.659
1832	0.598
1833	0.721
1834	0.766
1835	0.543
1836	0.757
1837	0.526
1838	0.389
1839	0.335
1840	0.618
1841	0.397
1842	0.418
1843	0.284
1844	0.13
1845	0.423
1846	0.511
1847	0.433
1848	0.85
1849	0.447
1850	0.658
1851	0.777
1852	0.523
1853	0.668
1854	0.586
1855	0.672
1856	0.673
1857	0.681
1858	0.685
1859	0.407
1860	0.559
1861	0.514
1862	0.638
1863	0.508
1864	0.493
1865	0.527
1866	0.498
1867	0.789
1868	0.716
1869	0.674
1870	0.967
1871	0.813
1872	0.845
1873	0.649
1874	0.829
1875	1.159
1876	0.952
1877	1.013
1878	1.03
1879	1.04
1880	1.167
1881	1.119
1882	1.036
1883	1.335
1884	1.472
1885	1.569
1886	1.892
1887	1.362
1888	1.334
1889	1.429
1890	1.406
1891	1.41
1892	1.391
1893	1.15
1894	1.231
1895	1.138
1896	1.408
1897	1.283
1898	1.42
1899	1.262
1900	1.336
1901	1.225
1902	1.117
1903	1.411
1904	1.561
1905	1.494
1906	1.263
1907	1.08
1908	1.176
1909	0.856
1910	1.188
1911	1.007
1912	1.064
1913	1.155
1914	1.056
1915	1.082
1916	1.281
1917	0.894
1918	0.797
1919	1.049
1920	0.975
1921	1.14
1922	1.1
1923	0.946
1924	1.271
1925	0.908
1926	1.007
1927	1.064
1928	1.197
1929	0.801
1930	0.89
1931	0.965
1932	0.92
1933	0.771
1934	1.093
1935	0.563
1936	0.718
1937	0.759
1938	1.081
1939	1.112
1940	0.784
1941	1.249
1942	0.93
1943	1.005
1944	1.223
1945	1.335
1946	1.238
1947	1.364
1948	0.972
1949	1.595
1950	1.341
1951	1.564
1952	1.538
1953	1.529
1954	1.582
1955	1.858
1956	1.086
1957	1.71
1958	2.015
1959	1.465
1960	1.162
1961	1.53
1962	0.999
1963	0.963
1964	1.034
1965	0.746
1966	0.479
1967	0.543
1968	0.503
1969	0.64
1970	0.933
1971	1.099
1972	0.898
1973	0.847
1974	0.725
1975	0.826
1976	0.8
1977	0.681
1978	0.829
1979	0.878
1980	1.006
1981	0.636
1982	0.725
1983	0.721
1984	0.563
1985	0.622
1986	0.564
1987	0.823
1988	0.871
1989	0.802
1990	0.91
1991	0.896
1992	1.067
1993	1.054
1994	0.855
1995	0.798
1996	0.431
1997	0.55
1998	0.696
1999	0.821
2000	0.82
2001	0.98
2002	1.197
2003	0.974
2004	0.893
2005	0.368