# northamerica_usa_ca553 - San Bernardino Mountains R - 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/4190
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca553 - San Bernardino Mountains R - 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: San Bernardino Mountains R
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.17
#	Southernmost_Latitude: 34.17
#	Easternmost_Longitude: -116.73
#	Westernmost_Longitude: -116.73
#	Elevation: 1500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca553B
#	Earliest_Year: 1756
#	Most_Recent_Year: 1988
#	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":"3.83472910524","T2":"17.2368760034","M1":"0.0232487714482","M2":"0.433503460736"}}
#--------------------
# Species
#	Species_Name: bigcone Douglas fir
#	Species_Code: PSMA
#--------------------
# 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
1756	0.665
1757	0.893
1758	0.942
1759	0.866
1760	1.178
1761	1.344
1762	1.241
1763	1.252
1764	1.225
1765	0.167
1766	1.238
1767	1.19
1768	1.128
1769	1.184
1770	0.897
1771	1.318
1772	1.013
1773	0.373
1774	0.785
1775	0.903
1776	0.794
1777	0.205
1778	0.581
1779	0.619
1780	0.717
1781	0.874
1782	0.17
1783	0.596
1784	0.846
1785	0.929
1786	0.895
1787	1.219
1788	0.933
1789	0.789
1790	1.081
1791	1.287
1792	1.365
1793	1.598
1794	1.103
1795	0.589
1796	0.747
1797	1.316
1798	1.177
1799	1.385
1800	1.082
1801	1.108
1802	1.303
1803	1.432
1804	1.691
1805	1.342
1806	1.465
1807	1.206
1808	1.294
1809	0.969
1810	1.205
1811	1.028
1812	0.533
1813	0.631
1814	0.771
1815	1.005
1816	1.318
1817	1.05
1818	1.343
1819	1.516
1820	0.81
1821	0.86
1822	0.444
1823	0.599
1824	0.364
1825	0.761
1826	1.127
1827	1.282
1828	1.471
1829	0.722
1830	0.956
1831	1.225
1832	1.531
1833	1.621
1834	1.016
1835	0.925
1836	1.278
1837	1.08
1838	1.106
1839	1.46
1840	1.369
1841	0.396
1842	0.666
1843	0.519
1844	0.692
1845	0.336
1846	0.88
1847	0.666
1848	0.783
1849	0.724
1850	1.01
1851	0.954
1852	1.003
1853	1.639
1854	1.416
1855	1.717
1856	1.193
1857	0.802
1858	1.0
1859	0.969
1860	0.763
1861	0.616
1862	0.988
1863	0.743
1864	0.122
1865	0.601
1866	0.794
1867	0.915
1868	1.392
1869	1.163
1870	1.11
1871	0.843
1872	0.976
1873	0.65
1874	1.079
1875	0.641
1876	0.784
1877	0.519
1878	0.7
1879	0.247
1880	0.545
1881	0.687
1882	0.766
1883	0.954
1884	1.218
1885	0.991
1886	1.178
1887	1.109
1888	1.058
1889	1.143
1890	1.563
1891	1.741
1892	1.501
1893	1.3
1894	1.442
1895	1.228
1896	0.785
1897	0.708
1898	0.833
1899	0.519
1900	0.353
1901	0.648
1902	0.879
1903	1.094
1904	0.81
1905	1.114
1906	1.535
1907	1.544
1908	1.509
1909	1.421
1910	1.125
1911	0.79
1912	0.787
1913	1.173
1914	1.374
1915	1.226
1916	1.646
1917	1.689
1918	1.192
1919	0.717
1920	1.039
1921	1.436
1922	1.323
1923	1.292
1924	1.016
1925	0.864
1926	0.917
1927	0.848
1928	0.396
1929	0.731
1930	0.821
1931	0.792
1932	0.694
1933	0.683
1934	0.276
1935	0.773
1936	0.793
1937	1.106
1938	1.21
1939	1.123
1940	1.286
1941	1.319
1942	1.628
1943	1.103
1944	1.451
1945	1.286
1946	1.421
1947	1.019
1948	0.672
1949	0.728
1950	0.927
1951	0.515
1952	0.551
1953	0.9
1954	0.944
1955	0.849
1956	0.835
1957	0.784
1958	0.883
1959	0.534
1960	0.553
1961	-0.107
1962	0.319
1963	0.074
1964	0.541
1965	0.776
1966	0.697
1967	0.997
1968	1.134
1969	0.857
1970	0.772
1971	0.554
1972	0.131
1973	0.423
1974	0.399
1975	0.947
1976	1.079
1977	1.322
1978	1.314
1979	1.143
1980	1.796
1981	1.23
1982	1.246
1983	1.827
1984	1.612
1985	1.542
1986	1.344
1987	1.14
1988	0.794