# northamerica_usa_nm554 - Mouth of La Junta - Breitenmoser Tree Ring Chronology Data
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#		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/5085
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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
#--------------------
# Title
#	Study_Name: northamerica_usa_nm554 - Mouth of La Junta - 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: Mouth of La Junta
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.12
#	Southernmost_Latitude: 36.12
#	Easternmost_Longitude: -105.52
#	Westernmost_Longitude: -105.52
#	Elevation: 2713 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm554B
#	Earliest_Year: 1755
#	Most_Recent_Year: 1986
#	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":"3.85971492879","T2":"15.9195019197","M1":"0.0229663033933","M2":"0.490284911916"}}
#--------------------
# 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
1755	1.649
1756	1.004
1757	0.804
1758	1.482
1759	1.34
1760	1.336
1761	1.586
1762	1.41
1763	1.038
1764	1.383
1765	1.224
1766	1.187
1767	1.128
1768	0.69
1769	0.617
1770	0.548
1771	0.581
1772	0.353
1773	0.158
1774	0.309
1775	0.379
1776	0.627
1777	0.638
1778	0.621
1779	0.735
1780	0.151
1781	0.367
1782	0.67
1783	0.913
1784	0.976
1785	0.816
1786	1.034
1787	1.306
1788	1.058
1789	0.629
1790	1.297
1791	1.082
1792	1.087
1793	1.452
1794	1.311
1795	1.188
1796	1.233
1797	0.927
1798	0.826
1799	0.984
1800	0.645
1801	0.357
1802	0.403
1803	0.906
1804	0.899
1805	0.925
1806	0.563
1807	0.477
1808	0.432
1809	0.459
1810	0.566
1811	0.84
1812	0.658
1813	0.953
1814	0.801
1815	0.941
1816	1.024
1817	0.914
1818	0.388
1819	0.759
1820	1.249
1821	1.138
1822	1.011
1823	0.741
1824	0.599
1825	1.068
1826	0.947
1827	1.387
1828	1.112
1829	0.9
1830	1.107
1831	0.924
1832	1.126
1833	1.32
1834	1.253
1835	1.554
1836	0.81
1837	0.988
1838	1.207
1839	1.406
1840	1.461
1841	1.094
1842	0.512
1843	1.08
1844	1.075
1845	1.039
1846	0.704
1847	0.618
1848	0.87
1849	1.042
1850	0.926
1851	0.309
1852	1.222
1853	1.652
1854	1.783
1855	1.341
1856	1.256
1857	0.712
1858	1.454
1859	0.57
1860	1.024
1861	0.401
1862	0.907
1863	1.025
1864	1.435
1865	1.02
1866	1.303
1867	1.332
1868	1.439
1869	1.632
1870	1.459
1871	1.204
1872	1.362
1873	0.866
1874	0.836
1875	0.941
1876	1.271
1877	1.248
1878	1.115
1879	1.206
1880	0.156
1881	0.26
1882	0.751
1883	0.57
1884	0.964
1885	1.444
1886	1.52
1887	1.919
1888	1.52
1889	1.102
1890	0.906
1891	1.237
1892	1.221
1893	0.75
1894	0.887
1895	1.267
1896	0.802
1897	1.268
1898	0.903
1899	0.606
1900	0.62
1901	0.676
1902	0.553
1903	1.038
1904	0.152
1905	1.003
1906	1.018
1907	1.639
1908	1.581
1909	1.466
1910	1.351
1911	1.349
1912	1.129
1913	1.159
1914	1.6
1915	1.087
1916	1.134
1917	0.741
1918	0.931
1919	0.985
1920	0.74
1921	1.461
1922	0.439
1923	0.825
1924	0.956
1925	0.947
1926	1.216
1927	1.169
1928	0.736
1929	1.458
1930	1.189
1931	1.002
1932	0.865
1933	0.961
1934	0.344
1935	1.107
1936	0.789
1937	1.064
1938	0.94
1939	0.883
1940	1.261
1941	1.518
1942	1.174
1943	0.836
1944	0.991
1945	0.949
1946	0.718
1947	0.848
1948	1.098
1949	1.301
1950	0.401
1951	0.345
1952	0.97
1953	0.891
1954	0.662
1955	0.974
1956	0.365
1957	0.525
1958	0.452
1959	0.497
1960	0.681
1961	0.709
1962	0.872
1963	0.412
1964	0.59
1965	1.129
1966	0.854
1967	0.805
1968	0.873
1969	1.316
1970	0.981
1971	0.392
1972	0.805
1973	0.726
1974	0.621
1975	1.232
1976	1.049
1977	0.803
1978	1.01
1979	1.014
1980	0.913
1981	1.268
1982	1.309
1983	1.066
1984	1.084
1985	1.358
1986	1.984