# northamerica_usa_wa096 - Hoh Lake 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/4141
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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
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# Title
#	Study_Name: northamerica_usa_wa096 - Hoh Lake Medium - 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: Hoh Lake Medium
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.9
#	Southernmost_Latitude: 47.9
#	Easternmost_Longitude: -123.75
#	Westernmost_Longitude: -123.75
#	Elevation: 1315 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa096B
#	Earliest_Year: 1824
#	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":"4.52513275838","T2":"17.4660930679","M1":"0.0225138180321","M2":"0.348069867084"}}
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# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
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# Chronology:
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# Variables
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# 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
1824	0.662
1825	0.907
1826	0.799
1827	0.818
1828	0.877
1829	1.014
1830	0.855
1831	0.927
1832	0.827
1833	0.766
1834	1.088
1835	0.947
1836	1.018
1837	0.857
1838	0.753
1839	1.155
1840	0.91
1841	1.151
1842	0.891
1843	1.377
1844	1.369
1845	1.188
1846	1.544
1847	1.223
1848	1.11
1849	0.877
1850	0.745
1851	1.002
1852	1.028
1853	0.905
1854	0.817
1855	1.014
1856	0.9
1857	0.95
1858	1.023
1859	0.649
1860	1.319
1861	0.977
1862	0.879
1863	0.963
1864	0.851
1865	0.737
1866	0.696
1867	0.69
1868	1.044
1869	0.972
1870	0.731
1871	0.811
1872	1.001
1873	0.967
1874	1.128
1875	1.143
1876	0.861
1877	1.209
1878	1.11
1879	0.912
1880	0.756
1881	1.336
1882	0.976
1883	1.155
1884	1.25
1885	1.04
1886	1.141
1887	0.918
1888	1.29
1889	1.267
1890	1.122
1891	1.268
1892	0.964
1893	1.127
1894	1.122
1895	1.314
1896	0.936
1897	1.262
1898	1.06
1899	0.656
1900	1.345
1901	1.34
1902	1.248
1903	1.133
1904	1.337
1905	1.501
1906	1.092
1907	1.018
1908	0.86
1909	0.957
1910	1.248
1911	1.036
1912	1.168
1913	0.936
1914	1.367
1915	1.224
1916	0.925
1917	1.11
1918	1.251
1919	0.997
1920	0.995
1921	0.855
1922	0.899
1923	1.061
1924	1.054
1925	1.034
1926	1.084
1927	0.932
1928	1.259
1929	1.106
1930	1.216
1931	1.04
1932	0.86
1933	0.88
1934	1.217
1935	1.271
1936	1.002
1937	0.968
1938	0.922
1939	1.043
1940	1.122
1941	1.157
1942	0.736
1943	0.847
1944	0.951
1945	0.768
1946	0.601
1947	0.804
1948	0.901
1949	0.975
1950	1.291
1951	1.284
1952	0.773
1953	0.848
1954	0.649
1955	0.863
1956	0.881
1957	1.147
1958	1.073
1959	0.606
1960	0.708
1961	0.804
1962	0.722
1963	1.102
1964	0.989
1965	1.395
1966	1.277
1967	1.111
1968	0.859
1969	0.701
1970	0.944
1971	0.709
1972	0.694
1973	0.761
1974	0.51
1975	0.788
1976	0.652
1977	1.04
1978	1.03
1979	1.02
1980	1.017
1981	0.952
1982	0.677
1983	1.011
1984	1.213
1985	1.102
1986	0.999
1987	0.834
1988	0.765
1989	0.934
1990	1.082
1991	0.876
1992	1.054