# northamerica_usa_wa026 - Box Canyon - 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/2881
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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_wa026 - Box Canyon - 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: Box Canyon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 45.98
#	Southernmost_Latitude: 45.98
#	Easternmost_Longitude: -120.6
#	Westernmost_Longitude: -120.6
#	Elevation: 775 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa026B
#	Earliest_Year: 1682
#	Most_Recent_Year: 1976
#	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":"5.0036596847","T2":"16.9943572796","M1":"0.0224187379944","M2":"0.407121351085"}}
#--------------------
# 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
1682	1.114
1683	0.905
1684	0.849
1685	1.018
1686	1.182
1687	1.318
1688	0.805
1689	1.153
1690	1.104
1691	0.869
1692	0.982
1693	0.887
1694	0.795
1695	0.762
1696	0.865
1697	1.083
1698	0.841
1699	0.931
1700	1.013
1701	1.035
1702	1.511
1703	1.33
1704	1.467
1705	1.107
1706	0.821
1707	1.0
1708	0.711
1709	1.072
1710	1.075
1711	1.187
1712	1.054
1713	0.79
1714	0.886
1715	1.291
1716	1.177
1717	0.806
1718	0.685
1719	0.705
1720	0.785
1721	0.172
1722	0.309
1723	0.719
1724	0.689
1725	0.834
1726	0.894
1727	1.235
1728	1.006
1729	1.046
1730	1.007
1731	1.229
1732	1.255
1733	1.222
1734	1.219
1735	1.248
1736	0.981
1737	1.18
1738	1.506
1739	1.048
1740	0.718
1741	0.769
1742	0.78
1743	0.857
1744	0.994
1745	1.104
1746	0.959
1747	1.028
1748	0.873
1749	1.006
1750	1.284
1751	1.092
1752	1.237
1753	1.329
1754	1.013
1755	1.583
1756	0.791
1757	0.74
1758	0.835
1759	0.832
1760	0.652
1761	1.093
1762	1.039
1763	0.976
1764	0.802
1765	1.122
1766	0.992
1767	0.873
1768	0.868
1769	0.878
1770	0.875
1771	0.872
1772	0.701
1773	1.235
1774	1.102
1775	0.984
1776	0.653
1777	1.03
1778	1.029
1779	1.248
1780	1.348
1781	1.045
1782	1.0
1783	0.771
1784	0.93
1785	0.883
1786	0.767
1787	0.69
1788	1.024
1789	0.848
1790	1.066
1791	1.122
1792	0.774
1793	1.214
1794	1.047
1795	1.112
1796	0.923
1797	0.407
1798	0.64
1799	0.737
1800	0.815
1801	1.116
1802	0.996
1803	1.023
1804	0.982
1805	0.987
1806	1.071
1807	1.178
1808	1.13
1809	1.256
1810	1.14
1811	1.227
1812	1.59
1813	1.401
1814	1.571
1815	1.459
1816	1.177
1817	0.979
1818	1.117
1819	1.328
1820	1.109
1821	0.998
1822	1.167
1823	0.799
1824	1.064
1825	1.153
1826	1.149
1827	1.048
1828	1.125
1829	1.064
1830	1.184
1831	1.239
1832	1.31
1833	1.092
1834	1.215
1835	0.965
1836	1.014
1837	0.888
1838	1.152
1839	0.546
1840	0.642
1841	0.682
1842	0.631
1843	0.656
1844	0.722
1845	0.846
1846	0.993
1847	0.798
1848	0.675
1849	0.586
1850	0.552
1851	0.771
1852	0.719
1853	0.729
1854	0.809
1855	1.014
1856	1.047
1857	1.04
1858	0.835
1859	0.973
1860	1.175
1861	1.223
1862	0.965
1863	1.096
1864	1.342
1865	0.827
1866	1.038
1867	0.977
1868	0.939
1869	0.836
1870	0.948
1871	0.947
1872	0.896
1873	0.982
1874	0.894
1875	0.646
1876	0.819
1877	1.134
1878	0.996
1879	1.156
1880	1.037
1881	1.353
1882	1.108
1883	0.946
1884	0.965
1885	1.194
1886	0.721
1887	0.636
1888	0.866
1889	0.568
1890	0.409
1891	0.504
1892	0.669
1893	0.667
1894	1.165
1895	1.347
1896	1.121
1897	1.061
1898	0.962
1899	0.765
1900	1.444
1901	1.222
1902	1.247
1903	1.15
1904	1.245
1905	0.882
1906	1.099
1907	1.18
1908	1.395
1909	1.071
1910	0.914
1911	1.042
1912	1.053
1913	1.353
1914	1.285
1915	1.277
1916	1.2
1917	1.108
1918	0.97
1919	1.371
1920	1.119
1921	1.638
1922	0.958
1923	1.228
1924	1.14
1925	1.079
1926	0.915
1927	0.853
1928	1.264
1929	0.81
1930	0.763
1931	0.806
1932	0.68
1933	0.733
1934	1.041
1935	0.773
1936	0.612
1937	0.696
1938	0.844
1939	0.764
1940	0.697
1941	0.943
1942	1.076
1943	0.838
1944	0.829
1945	0.673
1946	0.843
1947	1.118
1948	0.981
1949	1.012
1950	0.888
1951	1.192
1952	1.036
1953	0.88
1954	1.104
1955	1.286
1956	1.38
1957	1.371
1958	1.132
1959	0.847
1960	1.064
1961	1.009
1962	1.174
1963	1.435
1964	0.987
1965	0.726
1966	0.823
1967	1.01
1968	0.781
1969	0.85
1970	0.854
1971	0.931
1972	1.113
1973	0.895
1974	0.947
1975	0.809
1976	1.036