# northamerica_usa_nm529 - Crystal - 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/2941
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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_nm529 - Crystal - 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: Crystal
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.97
#	Southernmost_Latitude: 35.97
#	Easternmost_Longitude: -108.8
#	Westernmost_Longitude: -108.8
#	Elevation: 2755 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm529B
#	Earliest_Year: 1738
#	Most_Recent_Year: 1978
#	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":"4.75031023788","T2":"16.8091575064","M1":"0.0231031109249","M2":"0.413223618761"}}
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# 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)
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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
1738	1.172
1739	0.904
1740	0.961
1741	0.873
1742	0.857
1743	0.932
1744	1.039
1745	1.139
1746	1.347
1747	1.323
1748	0.324
1749	1.258
1750	1.114
1751	1.242
1752	0.511
1753	0.988
1754	1.222
1755	0.833
1756	0.629
1757	0.934
1758	1.131
1759	1.194
1760	0.977
1761	1.238
1762	1.525
1763	1.092
1764	1.328
1765	0.899
1766	1.456
1767	1.451
1768	1.213
1769	1.152
1770	1.429
1771	1.237
1772	1.461
1773	0.474
1774	1.027
1775	0.974
1776	1.018
1777	0.774
1778	0.766
1779	0.666
1780	0.525
1781	0.647
1782	0.617
1783	0.949
1784	1.216
1785	0.742
1786	0.806
1787	0.898
1788	0.621
1789	0.891
1790	1.209
1791	1.272
1792	1.102
1793	1.252
1794	1.055
1795	0.911
1796	0.974
1797	0.846
1798	0.903
1799	1.266
1800	1.125
1801	1.149
1802	1.267
1803	1.129
1804	1.15
1805	1.027
1806	0.572
1807	0.91
1808	0.75
1809	1.056
1810	1.199
1811	1.022
1812	1.029
1813	0.824
1814	1.146
1815	0.972
1816	1.155
1817	0.808
1818	0.697
1819	0.607
1820	0.778
1821	0.936
1822	0.414
1823	0.586
1824	0.71
1825	0.766
1826	0.946
1827	0.91
1828	1.06
1829	0.8
1830	1.038
1831	0.988
1832	1.062
1833	1.116
1834	0.922
1835	1.121
1836	1.038
1837	1.104
1838	1.045
1839	1.117
1840	1.233
1841	1.143
1842	0.723
1843	0.832
1844	0.939
1845	0.833
1846	0.837
1847	0.349
1848	0.796
1849	0.82
1850	0.718
1851	0.64
1852	1.163
1853	1.202
1854	0.99
1855	1.1
1856	0.978
1857	0.874
1858	1.215
1859	0.944
1860	1.418
1861	0.856
1862	1.243
1863	0.932
1864	0.692
1865	0.789
1866	0.934
1867	1.023
1868	1.105
1869	0.955
1870	1.144
1871	0.698
1872	0.7
1873	0.804
1874	0.88
1875	1.0
1876	0.946
1877	1.221
1878	1.296
1879	1.226
1880	0.842
1881	0.866
1882	1.079
1883	1.135
1884	1.005
1885	1.257
1886	0.612
1887	0.933
1888	0.978
1889	1.039
1890	1.002
1891	0.938
1892	0.958
1893	0.943
1894	0.958
1895	1.12
1896	0.935
1897	1.062
1898	1.16
1899	0.712
1900	0.784
1901	1.127
1902	0.842
1903	1.187
1904	0.847
1905	0.943
1906	1.109
1907	1.641
1908	1.624
1909	1.32
1910	1.166
1911	1.173
1912	1.012
1913	0.953
1914	1.243
1915	1.106
1916	1.257
1917	0.936
1918	0.852
1919	1.027
1920	0.962
1921	1.133
1922	0.885
1923	1.039
1924	1.13
1925	1.099
1926	1.129
1927	1.196
1928	1.165
1929	1.337
1930	1.031
1931	1.031
1932	0.779
1933	0.98
1934	0.908
1935	0.994
1936	0.783
1937	1.084
1938	1.035
1939	0.863
1940	1.145
1941	1.135
1942	0.973
1943	1.076
1944	0.935
1945	1.032
1946	0.906
1947	1.213
1948	0.836
1949	0.996
1950	0.638
1951	0.546
1952	0.887
1953	0.669
1954	0.72
1955	0.632
1956	0.634
1957	0.694
1958	0.815
1959	0.722
1960	0.945
1961	0.841
1962	1.083
1963	0.881
1964	0.846
1965	1.207
1966	1.07
1967	1.003
1968	1.098
1969	1.466
1970	1.332
1971	0.972
1972	1.077
1973	1.037
1974	1.246
1975	1.398
1976	0.878
1977	1.209
1978	0.762