# northamerica_usa_ca642 - Climbing Bear Hill - Breitenmoser Tree Ring Chronology Data
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#		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/3683
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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
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# Title
#	Study_Name: northamerica_usa_ca642 - Climbing Bear Hill - Breitenmoser Tree Ring Chronology Data
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# 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: Climbing Bear Hill
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.88
#	Southernmost_Latitude: 37.88
#	Easternmost_Longitude: -119.37
#	Westernmost_Longitude: -119.37
#	Elevation: 2626 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ca642B
#	Earliest_Year: 1795
#	Most_Recent_Year: 2005
#	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":"3.84807274267","T2":"13.7462712297","M1":"0.0225686099983","M2":"0.550406948656"}}
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# Species
#	Species_Name: lodgepole pine
#	Species_Code: PICO
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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
1795	0.897
1796	0.872
1797	1.022
1798	0.98
1799	0.963
1800	0.934
1801	1.067
1802	1.145
1803	0.993
1804	0.993
1805	1.173
1806	1.052
1807	1.068
1808	0.973
1809	0.963
1810	0.803
1811	0.647
1812	0.649
1813	0.794
1814	0.905
1815	1.017
1816	0.886
1817	0.973
1818	0.784
1819	0.959
1820	0.989
1821	0.881
1822	0.794
1823	0.915
1824	0.806
1825	0.965
1826	1.267
1827	1.088
1828	1.056
1829	1.083
1830	1.227
1831	0.882
1832	0.988
1833	0.96
1834	0.88
1835	0.888
1836	0.87
1837	0.917
1838	0.977
1839	0.905
1840	1.053
1841	0.921
1842	0.833
1843	0.803
1844	0.719
1845	1.11
1846	0.909
1847	0.761
1848	0.716
1849	0.855
1850	0.752
1851	0.657
1852	1.001
1853	0.757
1854	0.857
1855	0.915
1856	0.793
1857	0.851
1858	0.747
1859	0.869
1860	0.79
1861	0.86
1862	0.641
1863	0.833
1864	0.657
1865	0.889
1866	0.957
1867	1.073
1868	1.072
1869	1.17
1870	1.094
1871	1.074
1872	1.027
1873	1.137
1874	1.045
1875	1.197
1876	1.234
1877	1.238
1878	1.331
1879	1.15
1880	1.191
1881	1.47
1882	1.257
1883	0.948
1884	1.332
1885	1.361
1886	1.413
1887	1.242
1888	1.822
1889	1.435
1890	1.401
1891	1.502
1892	1.277
1893	1.267
1894	1.311
1895	1.2
1896	1.21
1897	1.238
1898	1.049
1899	0.898
1900	1.104
1901	1.459
1902	1.141
1903	0.985
1904	1.206
1905	0.884
1906	1.101
1907	1.272
1908	1.156
1909	0.995
1910	1.039
1911	0.901
1912	0.812
1913	0.782
1914	0.862
1915	0.831
1916	0.727
1917	0.803
1918	0.736
1919	0.976
1920	0.618
1921	0.611
1922	0.634
1923	0.74
1924	0.764
1925	0.852
1926	1.103
1927	0.889
1928	0.895
1929	0.801
1930	0.755
1931	1.09
1932	0.847
1933	0.745
1934	0.805
1935	0.898
1936	1.03
1937	1.069
1938	1.118
1939	1.04
1940	1.074
1941	0.931
1942	1.034
1943	0.888
1944	0.991
1945	1.063
1946	1.016
1947	1.003
1948	0.993
1949	0.983
1950	0.966
1951	0.935
1952	1.018
1953	0.918
1954	1.19
1955	0.854
1956	0.772
1957	0.628
1958	0.674
1959	0.154
1960	0.205
1961	0.303
1962	0.585
1963	0.692
1964	0.84
1965	0.813
1966	0.999
1967	1.049
1968	1.011
1969	1.385
1970	1.134
1971	0.907
1972	1.061
1973	1.23
1974	1.085
1975	1.061
1976	0.98
1977	1.156
1978	1.007
1979	0.867
1980	0.53
1981	0.196
1982	0.381
1983	0.862
1984	1.321
1985	1.059
1986	1.417
1987	1.394
1988	1.311
1989	1.223
1990	1.477
1991	1.153
1992	1.026
1993	1.295
1994	1.084
1995	1.016
1996	1.165
1997	1.069
1998	1.092
1999	1.151
2000	1.477
2001	1.222
2002	1.03
2003	0.846
2004	0.887
2005	1.021