# northamerica_usa_ca611 - Fry Creek Palomar Mt. - 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.
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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/3944
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# 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_usa_ca611 - Fry Creek Palomar Mt. - 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.
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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: Fry Creek Palomar Mt.
#	Location:
#	Country: United States
#	Northernmost_Latitude: 33.35
#	Southernmost_Latitude: 33.35
#	Easternmost_Longitude: -116.85
#	Westernmost_Longitude: -116.85
#	Elevation: 1524 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ca611B
#	Earliest_Year: 1786
#	Most_Recent_Year: 1992
#	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":"3.72695116418","T2":"15.8041031073","M1":"0.0225979087508","M2":"0.459410288704"}}
#--------------------
# Species
#	Species_Name: bigcone Douglas fir
#	Species_Code: PSMA
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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
1786	1.035
1787	1.171
1788	0.751
1789	0.583
1790	0.739
1791	1.401
1792	1.341
1793	1.545
1794	0.808
1795	0.771
1796	0.598
1797	1.082
1798	0.829
1799	0.937
1800	0.948
1801	0.921
1802	1.165
1803	1.149
1804	1.292
1805	1.51
1806	1.095
1807	0.779
1808	0.871
1809	0.846
1810	1.134
1811	1.104
1812	0.722
1813	0.626
1814	0.939
1815	1.092
1816	1.389
1817	1.039
1818	1.448
1819	1.219
1820	0.845
1821	0.806
1822	0.677
1823	0.528
1824	0.441
1825	0.796
1826	1.387
1827	1.088
1828	1.206
1829	0.786
1830	1.215
1831	1.268
1832	1.742
1833	1.386
1834	0.775
1835	0.803
1836	1.201
1837	1.421
1838	0.962
1839	1.012
1840	1.091
1841	0.684
1842	0.818
1843	0.981
1844	0.972
1845	0.683
1846	0.907
1847	0.912
1848	0.866
1849	0.612
1850	0.8
1851	1.05
1852	1.044
1853	1.782
1854	1.239
1855	1.29
1856	0.775
1857	0.577
1858	0.981
1859	0.847
1860	0.842
1861	0.652
1862	0.951
1863	0.63
1864	0.553
1865	0.658
1866	0.843
1867	0.798
1868	1.195
1869	1.072
1870	0.876
1871	0.872
1872	0.892
1873	0.659
1874	0.638
1875	0.688
1876	0.767
1877	0.644
1878	0.822
1879	0.638
1880	0.636
1881	0.905
1882	1.017
1883	0.991
1884	1.23
1885	1.285
1886	1.2
1887	1.041
1888	0.981
1889	1.005
1890	1.218
1891	1.988
1892	1.888
1893	1.275
1894	0.968
1895	0.837
1896	0.944
1897	0.513
1898	0.616
1899	0.583
1900	0.726
1901	1.043
1902	1.034
1903	1.067
1904	0.788
1905	1.003
1906	1.58
1907	1.253
1908	1.29
1909	1.247
1910	1.199
1911	0.823
1912	1.044
1913	1.079
1914	1.174
1915	1.214
1916	1.437
1917	1.454
1918	0.914
1919	0.706
1920	1.265
1921	1.398
1922	1.488
1923	1.33
1924	1.123
1925	1.132
1926	0.904
1927	1.259
1928	1.054
1929	0.838
1930	0.839
1931	1.025
1932	0.88
1933	1.06
1934	0.484
1935	0.698
1936	0.897
1937	1.06
1938	1.21
1939	1.037
1940	1.006
1941	1.079
1942	1.07
1943	1.14
1944	0.979
1945	1.133
1946	1.225
1947	1.183
1948	0.788
1949	0.434
1950	0.649
1951	0.525
1952	0.669
1953	0.749
1954	0.855
1955	0.797
1956	0.777
1957	0.874
1958	1.432
1959	0.618
1960	0.648
1961	0.108
1962	0.751
1963	0.488
1964	0.92
1965	0.964
1966	0.632
1967	1.101
1968	0.908
1969	0.952
1970	0.934
1971	0.83
1972	0.56
1973	0.713
1974	0.809
1975	0.802
1976	0.874
1977	1.153
1978	0.974
1979	0.917
1980	1.382
1981	1.042
1982	0.967
1983	2.022
1984	1.41
1985	1.239
1986	1.28
1987	1.257
1988	1.376
1989	1.162
1990	0.727
1991	0.868
1992	0.952