# northamerica_usa_wa024 - Hart's Pass - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/2894
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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_wa024 - Hart's Pass - 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: Hart's Pass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.72
#	Southernmost_Latitude: 48.72
#	Easternmost_Longitude: -120.65
#	Westernmost_Longitude: -120.65
#	Elevation: 2142 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa024B
#	Earliest_Year: 1751
#	Most_Recent_Year: 1976
#	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":"4.85757194014","T2":"17.5961574775","M1":"0.0227200830282","M2":"0.385189491117"}}
#--------------------
# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
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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
1751	0.956
1752	0.506
1753	0.791
1754	0.842
1755	0.7
1756	1.083
1757	0.976
1758	0.852
1759	0.892
1760	0.904
1761	0.899
1762	0.74
1763	0.989
1764	1.115
1765	0.814
1766	0.949
1767	1.147
1768	1.093
1769	1.091
1770	0.883
1771	1.106
1772	0.972
1773	1.206
1774	0.995
1775	0.69
1776	0.973
1777	1.129
1778	1.125
1779	1.112
1780	1.077
1781	1.158
1782	0.99
1783	1.319
1784	1.126
1785	1.083
1786	0.987
1787	0.947
1788	1.056
1789	0.937
1790	1.305
1791	1.13
1792	1.031
1793	0.976
1794	1.325
1795	1.269
1796	1.389
1797	1.01
1798	1.167
1799	0.873
1800	1.004
1801	1.164
1802	1.199
1803	1.295
1804	1.334
1805	1.237
1806	1.04
1807	1.217
1808	1.109
1809	1.154
1810	0.911
1811	1.235
1812	1.059
1813	0.901
1814	0.813
1815	0.811
1816	0.91
1817	1.019
1818	0.788
1819	0.832
1820	0.991
1821	1.0
1822	1.079
1823	0.898
1824	0.667
1825	0.851
1826	0.841
1827	0.975
1828	0.94
1829	0.99
1830	0.998
1831	1.205
1832	0.609
1833	1.103
1834	1.146
1835	0.969
1836	0.912
1837	0.959
1838	0.669
1839	1.074
1840	0.863
1841	0.908
1842	0.955
1843	1.057
1844	0.766
1845	0.873
1846	1.065
1847	0.983
1848	1.352
1849	0.954
1850	1.03
1851	1.219
1852	1.045
1853	0.947
1854	0.83
1855	1.105
1856	0.862
1857	1.043
1858	1.065
1859	1.25
1860	1.006
1861	0.976
1862	0.85
1863	1.332
1864	0.92
1865	1.256
1866	1.035
1867	0.796
1868	0.925
1869	0.766
1870	0.688
1871	0.85
1872	0.983
1873	0.993
1874	0.947
1875	1.044
1876	0.797
1877	0.927
1878	0.844
1879	0.746
1880	0.761
1881	0.805
1882	1.073
1883	1.031
1884	0.82
1885	1.056
1886	0.989
1887	0.965
1888	0.863
1889	0.823
1890	0.957
1891	0.98
1892	0.711
1893	0.821
1894	0.871
1895	0.858
1896	1.009
1897	0.811
1898	1.028
1899	0.791
1900	0.926
1901	1.142
1902	0.964
1903	1.003
1904	1.15
1905	0.931
1906	0.84
1907	0.841
1908	1.025
1909	0.815
1910	0.865
1911	0.935
1912	0.87
1913	0.887
1914	0.977
1915	0.729
1916	0.634
1917	0.975
1918	0.997
1919	0.978
1920	0.916
1921	0.904
1922	1.164
1923	0.936
1924	0.924
1925	0.969
1926	0.952
1927	0.934
1928	1.009
1929	0.86
1930	0.962
1931	1.082
1932	0.978
1933	1.341
1934	1.369
1935	1.341
1936	1.4
1937	1.204
1938	1.297
1939	0.96
1940	0.995
1941	0.978
1942	0.973
1943	0.94
1944	1.195
1945	1.279
1946	0.84
1947	0.964
1948	1.282
1949	1.256
1950	1.337
1951	1.209
1952	1.156
1953	0.95
1954	1.022
1955	1.163
1956	0.734
1957	1.013
1958	1.503
1959	0.935
1960	1.309
1961	1.187
1962	0.7
1963	0.772
1964	0.914
1965	1.127
1966	1.069
1967	1.316
1968	0.699
1969	0.833
1970	1.075
1971	0.857
1972	0.648
1973	0.923
1974	0.819
1975	0.892
1976	-0.033