# northamerica_usa_wa009 - War Creek - 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/2917
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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
#--------------------
# Title
#	Study_Name: northamerica_usa_wa009 - War Creek - 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: War Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.42
#	Southernmost_Latitude: 48.42
#	Easternmost_Longitude: -120.4
#	Westernmost_Longitude: -120.4
#	Elevation: 1224 m
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# Data_Collection
#	Collection_Name: northamerica_usa_wa009B
#	Earliest_Year: 1763
#	Most_Recent_Year: 1975
#	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":"2.8016498772","T2":"14.2694077926","M1":"0.0236089295027","M2":"0.552874644184"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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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
1763	1.011
1764	0.869
1765	0.998
1766	1.218
1767	0.861
1768	0.821
1769	0.798
1770	1.082
1771	1.089
1772	1.019
1773	1.069
1774	0.905
1775	0.855
1776	0.836
1777	0.847
1778	1.161
1779	0.963
1780	1.04
1781	0.872
1782	0.857
1783	0.895
1784	0.977
1785	1.069
1786	0.907
1787	0.855
1788	1.007
1789	1.291
1790	0.757
1791	0.685
1792	0.825
1793	1.141
1794	0.877
1795	1.045
1796	0.946
1797	0.804
1798	0.886
1799	1.076
1800	1.29
1801	1.281
1802	1.081
1803	1.148
1804	1.06
1805	1.292
1806	1.042
1807	0.943
1808	1.056
1809	1.204
1810	1.018
1811	0.987
1812	0.941
1813	1.029
1814	1.284
1815	1.071
1816	1.252
1817	0.891
1818	1.058
1819	1.023
1820	0.938
1821	0.795
1822	0.996
1823	0.947
1824	0.963
1825	1.233
1826	1.024
1827	0.852
1828	0.921
1829	1.01
1830	0.777
1831	0.777
1832	1.2
1833	1.088
1834	0.909
1835	0.824
1836	0.997
1837	1.053
1838	0.931
1839	0.85
1840	0.807
1841	0.982
1842	0.76
1843	0.771
1844	0.92
1845	1.275
1846	1.45
1847	0.834
1848	0.806
1849	0.729
1850	0.693
1851	0.977
1852	0.871
1853	1.015
1854	0.922
1855	1.305
1856	1.266
1857	0.967
1858	1.003
1859	0.852
1860	1.017
1861	1.092
1862	0.989
1863	0.984
1864	1.026
1865	0.83
1866	1.006
1867	0.951
1868	1.022
1869	0.765
1870	0.68
1871	0.777
1872	0.896
1873	1.094
1874	1.116
1875	0.929
1876	0.896
1877	1.291
1878	1.206
1879	1.086
1880	0.959
1881	1.233
1882	0.966
1883	0.861
1884	1.038
1885	1.535
1886	0.9
1887	0.784
1888	0.915
1889	0.54
1890	0.871
1891	0.807
1892	0.976
1893	0.899
1894	0.87
1895	0.906
1896	0.863
1897	1.053
1898	0.81
1899	0.718
1900	1.123
1901	1.112
1902	1.01
1903	1.056
1904	1.137
1905	1.298
1906	1.436
1907	1.103
1908	1.309
1909	0.948
1910	0.89
1911	0.964
1912	1.255
1913	1.267
1914	1.153
1915	1.264
1916	0.946
1917	0.653
1918	0.775
1919	0.815
1920	0.848
1921	0.992
1922	0.475
1923	0.742
1924	0.58
1925	0.578
1926	0.502
1927	0.655
1928	0.723
1929	0.439
1930	0.722
1931	0.574
1932	0.522
1933	0.529
1934	0.893
1935	0.424
1936	0.469
1937	0.572
1938	0.819
1939	0.8
1940	0.84
1941	1.145
1942	1.383
1943	1.008
1944	1.066
1945	1.03
1946	1.204
1947	1.24
1948	1.151
1949	1.191
1950	1.131
1951	1.255
1952	1.195
1953	1.453
1954	1.409
1955	1.632
1956	1.245
1957	1.041
1958	0.959
1959	1.051
1960	1.493
1961	1.351
1962	1.392
1963	1.171
1964	1.181
1965	1.129
1966	1.335
1967	1.264
1968	1.268
1969	1.159
1970	0.855
1971	1.093
1972	1.127
1973	0.872
1974	0.958
1975	0.276