# northamerica_usa_nm578 - Capulin Volcano National Monument - 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/4824
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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_nm578 - Capulin Volcano National Monument - 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: Capulin Volcano National Monument
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.78
#	Southernmost_Latitude: 36.78
#	Easternmost_Longitude: -103.93
#	Westernmost_Longitude: -103.93
#	Elevation: 2320 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm578B
#	Earliest_Year: 1696
#	Most_Recent_Year: 1992
#	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":"6.11445913507","T2":"16.525113533","M1":"0.0232501261368","M2":"0.359490844523"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
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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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1696	0.306
1697	0.791
1698	0.589
1699	1.086
1700	1.113
1701	1.368
1702	1.562
1703	1.422
1704	1.076
1705	1.245
1706	1.468
1707	0.89
1708	1.069
1709	1.562
1710	1.519
1711	1.292
1712	1.477
1713	1.078
1714	0.859
1715	0.506
1716	0.729
1717	1.076
1718	0.925
1719	1.115
1720	1.468
1721	1.395
1722	1.457
1723	1.298
1724	1.257
1725	0.845
1726	1.368
1727	0.315
1728	0.644
1729	0.644
1730	0.33
1731	0.763
1732	1.013
1733	0.505
1734	1.082
1735	0.407
1736	1.079
1737	0.627
1738	0.668
1739	1.124
1740	1.362
1741	0.818
1742	0.737
1743	1.381
1744	0.822
1745	1.02
1746	1.331
1747	0.99
1748	0.964
1749	1.181
1750	0.824
1751	1.445
1752	0.441
1753	1.281
1754	1.242
1755	1.5
1756	0.65
1757	0.948
1758	1.342
1759	0.72
1760	0.786
1761	1.465
1762	0.987
1763	0.335
1764	1.105
1765	0.769
1766	1.263
1767	1.022
1768	1.119
1769	1.133
1770	0.716
1771	1.336
1772	0.403
1773	1.016
1774	1.362
1775	1.02
1776	1.332
1777	0.913
1778	1.021
1779	1.373
1780	0.707
1781	0.789
1782	1.251
1783	1.38
1784	1.161
1785	1.253
1786	1.045
1787	0.864
1788	0.965
1789	0.147
1790	0.975
1791	0.498
1792	1.091
1793	1.128
1794	1.125
1795	1.103
1796	0.851
1797	1.073
1798	0.895
1799	0.881
1800	1.114
1801	0.912
1802	1.126
1803	1.348
1804	1.41
1805	0.975
1806	0.738
1807	1.286
1808	1.071
1809	0.543
1810	0.747
1811	0.867
1812	0.927
1813	1.114
1814	1.17
1815	0.662
1816	1.296
1817	1.284
1818	0.228
1819	0.807
1820	0.854
1821	0.453
1822	-0.036
1823	0.933
1824	0.415
1825	0.931
1826	0.849
1827	1.061
1828	1.143
1829	1.398
1830	1.04
1831	0.66
1832	1.199
1833	1.253
1834	0.702
1835	1.005
1836	0.884
1837	0.836
1838	1.086
1839	1.492
1840	1.377
1841	0.936
1842	0.399
1843	0.903
1844	1.026
1845	0.932
1846	0.546
1847	0.923
1848	0.93
1849	1.35
1850	1.362
1851	0.155
1852	0.785
1853	0.954
1854	1.228
1855	0.734
1856	0.695
1857	1.474
1858	1.362
1859	1.081
1860	0.299
1861	0.451
1862	0.428
1863	0.711
1864	1.057
1865	0.624
1866	0.915
1867	1.557
1868	1.234
1869	1.585
1870	0.67
1871	0.866
1872	1.315
1873	0.786
1874	0.725
1875	1.001
1876	0.541
1877	0.73
1878	1.203
1879	0.723
1880	0.317
1881	1.116
1882	1.252
1883	0.255
1884	1.239
1885	0.893
1886	0.668
1887	1.319
1888	0.359
1889	0.938
1890	1.081
1891	1.143
1892	1.249
1893	0.931
1894	1.46
1895	1.389
1896	0.88
1897	1.368
1898	1.216
1899	0.733
1900	1.194
1901	0.803
1902	0.586
1903	0.438
1904	0.588
1905	1.063
1906	1.011
1907	1.181
1908	0.54
1909	1.332
1910	0.413
1911	0.662
1912	1.239
1913	1.18
1914	1.465
1915	1.16
1916	0.64
1917	0.871
1918	1.225
1919	1.464
1920	1.15
1921	1.395
1922	0.723
1923	0.381
1924	0.789
1925	0.282
1926	1.163
1927	0.215
1928	1.281
1929	0.879
1930	1.005
1931	1.273
1932	1.257
1933	0.483
1934	0.019
1935	0.817
1936	0.403
1937	1.114
1938	0.792
1939	0.489
1940	0.841
1941	1.409
1942	1.824
1943	1.316
1944	1.977
1945	1.226
1946	1.275
1947	1.954
1948	1.639
1949	1.785
1950	0.363
1951	1.287
1952	0.722
1953	1.142
1954	0.986
1955	2.036
1956	0.504
1957	1.473
1958	1.794
1959	1.332
1960	1.144
1961	1.114
1962	1.479
1963	0.216
1964	0.794
1965	1.325
1966	0.455
1967	1.136
1968	0.667
1969	1.498
1970	1.134
1971	1.207
1972	0.557
1973	0.973
1974	0.146
1975	0.66
1976	0.374
1977	1.014
1978	0.913
1979	1.227
1980	0.838
1981	0.397
1982	0.863
1983	1.086
1984	0.969
1985	1.022
1986	1.051
1987	1.407
1988	1.088
1989	0.734
1990	0.553
1991	1.063
1992	1.028