# northamerica_usa_co550 - Van Bibber Creek - 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/3418
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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_co550 - Van Bibber Creek - 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: Van Bibber Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.37
#	Southernmost_Latitude: 40.37
#	Easternmost_Longitude: -105.25
#	Westernmost_Longitude: -105.25
#	Elevation: 1920 m
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# Data_Collection
#	Collection_Name: northamerica_usa_co550B
#	Earliest_Year: 1764
#	Most_Recent_Year: 1987
#	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":"3.6057901161","T2":"14.9532581082","M1":"0.0231277761919","M2":"0.526185531738"}}
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# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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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)
#
##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
1764	1.089
1765	0.753
1766	1.272
1767	0.891
1768	1.455
1769	1.416
1770	0.71
1771	1.041
1772	0.986
1773	1.084
1774	1.353
1775	1.161
1776	1.258
1777	1.149
1778	1.125
1779	0.941
1780	0.966
1781	0.979
1782	0.879
1783	1.273
1784	1.251
1785	0.972
1786	1.136
1787	1.647
1788	1.113
1789	0.54
1790	1.059
1791	1.068
1792	1.415
1793	1.266
1794	1.411
1795	1.057
1796	1.37
1797	0.94
1798	0.762
1799	0.966
1800	1.097
1801	0.939
1802	1.086
1803	1.177
1804	0.65
1805	0.645
1806	0.999
1807	0.778
1808	1.15
1809	0.898
1810	1.025
1811	0.865
1812	0.771
1813	0.738
1814	1.038
1815	1.129
1816	0.969
1817	0.99
1818	0.934
1819	0.71
1820	0.95
1821	0.8
1822	0.996
1823	0.485
1824	0.388
1825	0.938
1826	1.061
1827	1.092
1828	1.545
1829	0.928
1830	1.086
1831	1.165
1832	1.36
1833	1.1
1834	0.788
1835	1.168
1836	1.315
1837	1.296
1838	1.848
1839	1.771
1840	1.206
1841	1.153
1842	0.324
1843	1.166
1844	1.057
1845	0.582
1846	0.686
1847	0.479
1848	0.412
1849	0.487
1850	0.652
1851	0.223
1852	0.313
1853	0.781
1854	0.721
1855	0.466
1856	0.557
1857	0.87
1858	1.216
1859	0.9
1860	1.564
1861	1.135
1862	0.858
1863	0.549
1864	1.17
1865	0.892
1866	1.203
1867	1.067
1868	1.237
1869	1.452
1870	0.623
1871	1.043
1872	1.213
1873	1.175
1874	0.988
1875	1.03
1876	0.907
1877	0.726
1878	1.031
1879	0.945
1880	-0.066
1881	0.651
1882	0.883
1883	0.918
1884	0.846
1885	-0.066
1886	0.212
1887	0.093
1888	0.325
1889	0.489
1890	0.606
1891	0.953
1892	0.932
1893	0.68
1894	1.065
1895	0.951
1896	0.837
1897	1.277
1898	1.205
1899	0.852
1900	1.158
1901	0.966
1902	0.898
1903	1.235
1904	1.416
1905	1.435
1906	1.266
1907	1.678
1908	0.942
1909	1.796
1910	1.061
1911	1.026
1912	1.458
1913	0.89
1914	1.509
1915	1.284
1916	1.191
1917	1.275
1918	1.267
1919	1.035
1920	1.182
1921	1.426
1922	1.071
1923	1.763
1924	1.534
1925	0.583
1926	1.499
1927	1.189
1928	1.476
1929	1.25
1930	0.985
1931	1.11
1932	0.747
1933	0.935
1934	0.875
1935	0.585
1936	0.837
1937	1.038
1938	1.139
1939	0.682
1940	0.622
1941	1.16
1942	1.17
1943	0.983
1944	1.156
1945	1.06
1946	0.842
1947	1.575
1948	1.317
1949	1.307
1950	0.866
1951	1.067
1952	1.229
1953	0.735
1954	0.31
1955	0.747
1956	0.477
1957	0.925
1958	1.075
1959	0.911
1960	1.183
1961	1.139
1962	0.96
1963	0.188
1964	0.792
1965	1.046
1966	0.275
1967	0.801
1968	0.826
1969	0.818
1970	1.153
1971	1.233
1972	0.95
1973	1.069
1974	0.994
1975	1.217
1976	0.916
1977	0.666
1978	0.649
1979	1.084
1980	1.142
1981	0.874
1982	0.533
1983	1.428
1984	0.84
1985	1.14
1986	1.214
1987	1.478