# northamerica_usa_nm036 - Tajique 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.
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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/3110
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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_nm036 - Tajique 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: Tajique Canyon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.77
#	Southernmost_Latitude: 34.77
#	Easternmost_Longitude: -106.32
#	Westernmost_Longitude: -106.32
#	Elevation: 2103 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm036B
#	Earliest_Year: 1733
#	Most_Recent_Year: 1972
#	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":"3.7015907458","T2":"16.2360607785","M1":"0.0234044623398","M2":"0.483360070283"}}
#--------------------
# 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
1733	0.462
1734	1.689
1735	1.612
1736	1.077
1737	0.587
1738	0.735
1739	0.25
1740	0.579
1741	0.906
1742	0.877
1743	1.107
1744	1.295
1745	1.317
1746	1.828
1747	1.527
1748	0.266
1749	1.204
1750	0.694
1751	1.314
1752	0.468
1753	1.207
1754	1.214
1755	0.692
1756	0.796
1757	0.396
1758	1.255
1759	1.064
1760	1.43
1761	1.745
1762	1.341
1763	0.803
1764	1.324
1765	1.05
1766	1.227
1767	1.28
1768	1.226
1769	0.696
1770	0.857
1771	1.546
1772	1.072
1773	0.597
1774	0.92
1775	0.815
1776	1.133
1777	0.738
1778	0.825
1779	0.62
1780	0.513
1781	1.026
1782	1.369
1783	1.636
1784	1.703
1785	0.663
1786	0.802
1787	1.173
1788	0.847
1789	0.749
1790	0.875
1791	0.852
1792	1.056
1793	1.337
1794	1.168
1795	1.191
1796	0.713
1797	0.627
1798	0.649
1799	0.786
1800	1.209
1801	0.684
1802	0.702
1803	1.227
1804	0.885
1805	1.128
1806	0.206
1807	0.686
1808	0.714
1809	0.744
1810	1.05
1811	0.818
1812	0.974
1813	1.434
1814	1.425
1815	1.585
1816	1.818
1817	0.586
1818	0.275
1819	-0.006
1820	0.914
1821	0.784
1822	0.201
1823	0.167
1824	0.537
1825	0.774
1826	1.169
1827	1.342
1828	1.122
1829	1.28
1830	1.348
1831	1.303
1832	1.687
1833	1.503
1834	1.514
1835	1.488
1836	1.158
1837	1.035
1838	0.976
1839	1.499
1840	1.303
1841	0.959
1842	0.146
1843	0.769
1844	0.785
1845	1.068
1846	1.361
1847	0.688
1848	1.151
1849	1.596
1850	1.172
1851	0.713
1852	1.356
1853	1.352
1854	1.271
1855	1.3
1856	1.2
1857	1.837
1858	1.887
1859	0.494
1860	1.193
1861	1.024
1862	0.208
1863	0.54
1864	0.644
1865	0.962
1866	0.887
1867	1.181
1868	1.584
1869	1.483
1870	0.831
1871	0.744
1872	1.066
1873	0.806
1874	0.88
1875	1.198
1876	0.647
1877	0.868
1878	1.321
1879	0.998
1880	0.365
1881	1.071
1882	0.805
1883	1.372
1884	1.292
1885	1.37
1886	1.062
1887	1.668
1888	1.005
1889	1.226
1890	0.963
1891	1.01
1892	0.804
1893	0.931
1894	0.282
1895	0.822
1896	0.271
1897	1.006
1898	1.101
1899	0.469
1900	0.173
1901	0.755
1902	0.378
1903	0.716
1904	-0.006
1905	0.711
1906	1.024
1907	1.549
1908	1.728
1909	1.412
1910	1.078
1911	1.846
1912	1.598
1913	1.054
1914	1.744
1915	1.317
1916	1.861
1917	1.495
1918	1.432
1919	2.339
1920	1.718
1921	2.124
1922	0.51
1923	0.411
1924	1.046
1925	0.227
1926	0.839
1927	0.921
1928	0.76
1929	1.258
1930	1.111
1931	1.226
1932	1.499
1933	2.171
1934	0.409
1935	0.891
1936	1.078
1937	0.922
1938	0.458
1939	0.753
1940	0.906
1941	1.182
1942	1.128
1943	0.769
1944	1.308
1945	1.038
1946	0.542
1947	0.657
1948	0.674
1949	0.92
1950	0.229
1951	-0.006
1952	0.506
1953	0.604
1954	-0.003
1955	0.103
1956	-0.006
1957	0.506
1958	0.654
1959	0.821
1960	1.32
1961	1.249
1962	1.463
1963	0.651
1964	0.677
1965	0.799
1966	0.826
1967	-0.006
1968	1.187
1969	0.891
1970	1.369
1971	0.569
1972	1.166