# northamerica_usa_or065 - Mount Hood Medium - 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/4163
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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_or065 - Mount Hood Medium - 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: Mount Hood Medium
#	Location:
#	Country: United States
#	Northernmost_Latitude: 45.33
#	Southernmost_Latitude: 45.33
#	Easternmost_Longitude: -121.67
#	Westernmost_Longitude: -121.67
#	Elevation: 1790 m
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# Data_Collection
#	Collection_Name: northamerica_usa_or065B
#	Earliest_Year: 1762
#	Most_Recent_Year: 1992
#	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":"4.97165569917","T2":"19.814503762","M1":"0.0224057508035","M2":"0.276546850537"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
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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
1762	1.082
1763	0.772
1764	0.991
1765	0.857
1766	0.852
1767	0.961
1768	0.801
1769	0.856
1770	0.924
1771	0.759
1772	0.798
1773	0.883
1774	0.732
1775	0.479
1776	0.851
1777	0.811
1778	0.81
1779	0.844
1780	0.789
1781	0.611
1782	0.8
1783	0.598
1784	0.703
1785	0.675
1786	0.756
1787	0.619
1788	0.833
1789	0.82
1790	0.758
1791	1.073
1792	1.191
1793	1.103
1794	1.388
1795	0.995
1796	0.806
1797	0.58
1798	0.975
1799	0.792
1800	0.821
1801	0.362
1802	0.88
1803	0.87
1804	1.024
1805	1.281
1806	0.921
1807	0.72
1808	0.643
1809	0.972
1810	0.351
1811	0.835
1812	0.769
1813	0.748
1814	1.232
1815	1.022
1816	1.143
1817	1.123
1818	0.917
1819	0.676
1820	0.565
1821	0.819
1822	1.135
1823	0.763
1824	0.685
1825	0.961
1826	0.958
1827	1.007
1828	1.058
1829	1.08
1830	0.958
1831	0.865
1832	1.056
1833	1.157
1834	1.439
1835	1.159
1836	1.306
1837	1.541
1838	1.574
1839	1.489
1840	0.682
1841	0.838
1842	1.001
1843	1.258
1844	1.229
1845	1.328
1846	1.681
1847	1.286
1848	1.478
1849	1.025
1850	1.098
1851	1.402
1852	1.15
1853	1.203
1854	1.387
1855	1.095
1856	0.899
1857	1.134
1858	1.422
1859	1.072
1860	1.24
1861	1.092
1862	0.954
1863	1.385
1864	1.049
1865	0.914
1866	0.642
1867	0.951
1868	1.215
1869	1.132
1870	1.033
1871	0.939
1872	1.036
1873	1.018
1874	1.285
1875	1.305
1876	0.895
1877	1.183
1878	1.132
1879	1.195
1880	0.58
1881	1.237
1882	0.815
1883	1.014
1884	0.976
1885	1.246
1886	1.233
1887	0.841
1888	1.459
1889	1.296
1890	0.946
1891	1.086
1892	0.932
1893	0.945
1894	1.013
1895	1.377
1896	0.671
1897	1.147
1898	1.271
1899	0.453
1900	1.063
1901	1.014
1902	0.985
1903	0.958
1904	1.345
1905	1.189
1906	0.926
1907	0.947
1908	0.895
1909	0.874
1910	1.349
1911	1.238
1912	1.183
1913	1.185
1914	1.707
1915	1.183
1916	0.262
1917	0.931
1918	0.941
1919	1.065
1920	1.17
1921	0.885
1922	0.991
1923	0.859
1924	1.241
1925	1.023
1926	1.013
1927	0.976
1928	1.278
1929	1.232
1930	1.281
1931	1.041
1932	0.887
1933	0.794
1934	1.059
1935	1.07
1936	1.058
1937	0.639
1938	0.987
1939	1.159
1940	0.851
1941	0.888
1942	0.953
1943	0.719
1944	1.193
1945	1.139
1946	0.764
1947	0.916
1948	1.045
1949	0.771
1950	1.177
1951	1.518
1952	1.291
1953	0.819
1954	0.777
1955	0.91
1956	0.805
1957	1.178
1958	1.298
1959	0.973
1960	0.978
1961	0.978
1962	0.949
1963	1.068
1964	0.853
1965	0.969
1966	1.099
1967	1.037
1968	0.762
1969	0.763
1970	0.932
1971	0.493
1972	0.477
1973	0.927
1974	0.395
1975	1.076
1976	0.875
1977	1.093
1978	0.924
1979	0.928
1980	1.056
1981	0.967
1982	0.504
1983	0.721
1984	0.978
1985	0.786
1986	0.794
1987	1.033
1988	0.813
1989	0.546
1990	0.869
1991	0.57
1992	1.03