# northamerica_usa_wa015 - Government Camp - 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.
#
#
# 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/2893
#
# 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_wa015 - Government Camp - 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.
#--------------------
#	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: Government Camp
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.65
#	Southernmost_Latitude: 47.65
#	Easternmost_Longitude: -120.43
#	Westernmost_Longitude: -120.43
#	Elevation: 1775 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa015B
#	Earliest_Year: 1667
#	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":"4.41362185642","T2":"15.4145889462","M1":"0.0232320362812","M2":"0.457761823002"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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# Chronology:
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#
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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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1667	1.14
1668	0.744
1669	1.071
1670	1.051
1671	1.082
1672	0.714
1673	0.842
1674	0.905
1675	1.12
1676	1.018
1677	0.822
1678	1.09
1679	1.084
1680	0.807
1681	1.178
1682	1.102
1683	1.066
1684	0.949
1685	1.056
1686	1.066
1687	1.13
1688	0.905
1689	1.046
1690	1.003
1691	0.922
1692	1.056
1693	1.141
1694	1.269
1695	0.97
1696	1.045
1697	1.222
1698	1.027
1699	1.059
1700	1.13
1701	0.855
1702	1.054
1703	1.125
1704	1.328
1705	1.137
1706	1.003
1707	1.05
1708	0.883
1709	0.914
1710	1.025
1711	1.142
1712	1.351
1713	1.045
1714	0.875
1715	1.149
1716	1.329
1717	0.835
1718	0.906
1719	0.917
1720	0.96
1721	0.474
1722	0.797
1723	1.251
1724	1.025
1725	0.894
1726	1.199
1727	1.493
1728	1.426
1729	1.163
1730	1.01
1731	1.094
1732	1.468
1733	1.302
1734	1.012
1735	0.959
1736	0.777
1737	0.912
1738	0.973
1739	0.679
1740	0.659
1741	0.73
1742	0.971
1743	0.958
1744	0.997
1745	1.16
1746	1.191
1747	1.145
1748	1.159
1749	1.039
1750	1.346
1751	1.091
1752	1.185
1753	0.825
1754	0.738
1755	0.996
1756	0.894
1757	1.002
1758	0.899
1759	0.813
1760	0.928
1761	1.316
1762	1.186
1763	1.179
1764	0.854
1765	1.112
1766	1.076
1767	0.969
1768	1.049
1769	0.823
1770	0.938
1771	1.073
1772	0.88
1773	1.081
1774	1.182
1775	1.029
1776	0.752
1777	0.919
1778	0.904
1779	0.915
1780	1.011
1781	0.89
1782	0.786
1783	0.255
1784	0.628
1785	0.767
1786	0.783
1787	0.6
1788	0.727
1789	0.944
1790	0.891
1791	1.044
1792	0.9
1793	0.951
1794	0.892
1795	0.681
1796	0.806
1797	0.481
1798	0.394
1799	0.459
1800	0.67
1801	0.734
1802	0.801
1803	0.775
1804	0.85
1805	1.05
1806	0.875
1807	1.038
1808	0.941
1809	0.876
1810	0.847
1811	1.024
1812	1.143
1813	0.926
1814	1.06
1815	1.121
1816	0.924
1817	0.92
1818	0.854
1819	1.055
1820	1.024
1821	0.882
1822	0.968
1823	0.852
1824	0.998
1825	1.154
1826	0.881
1827	0.978
1828	0.979
1829	0.786
1830	0.667
1831	0.804
1832	0.888
1833	1.019
1834	1.009
1835	0.808
1836	0.742
1837	0.921
1838	0.843
1839	0.823
1840	0.715
1841	0.857
1842	0.848
1843	0.617
1844	0.549
1845	0.896
1846	1.065
1847	0.731
1848	0.628
1849	0.507
1850	0.731
1851	0.986
1852	0.759
1853	0.881
1854	0.847
1855	1.096
1856	1.002
1857	1.169
1858	1.089
1859	0.938
1860	1.05
1861	1.185
1862	1.004
1863	1.04
1864	1.056
1865	0.769
1866	0.829
1867	0.81
1868	0.928
1869	0.852
1870	0.866
1871	0.726
1872	0.868
1873	1.001
1874	0.865
1875	0.802
1876	0.902
1877	1.164
1878	1.455
1879	1.194
1880	0.729
1881	1.247
1882	1.323
1883	1.137
1884	0.973
1885	1.259
1886	1.091
1887	0.936
1888	1.149
1889	0.726
1890	0.552
1891	0.64
1892	0.837
1893	0.907
1894	0.87
1895	0.977
1896	0.884
1897	0.995
1898	1.067
1899	0.833
1900	1.145
1901	1.43
1902	1.092
1903	1.297
1904	1.673
1905	1.428
1906	1.493
1907	1.687
1908	2.13
1909	1.263
1910	1.239
1911	1.178
1912	1.19
1913	1.639
1914	1.67
1915	1.453
1916	1.368
1917	1.481
1918	1.41
1919	1.05
1920	0.964
1921	1.439
1922	1.205
1923	0.942
1924	0.934
1925	1.241
1926	0.723
1927	0.976
1928	1.181
1929	0.644
1930	0.757
1931	0.59
1932	0.772
1933	0.905
1934	1.019
1935	1.013
1936	0.885
1937	0.997
1938	1.237
1939	0.985
1940	1.068
1941	1.198
1942	1.402
1943	1.184
1944	1.204
1945	1.17
1946	1.372
1947	1.378
1948	1.083
1949	1.131
1950	1.217
1951	1.104
1952	1.035
1953	1.097
1954	1.357
1955	1.503
1956	1.205
1957	1.183
1958	1.006
1959	0.968
1960	1.204
1961	1.13
1962	1.053
1963	0.971
1964	0.835
1965	0.824
1966	0.972
1967	0.93
1968	0.771
1969	0.834
1970	0.8
1971	0.786
1972	0.856
1973	0.732
1974	0.806
1975	0.536