# northamerica_usa_nm551 - Garcia Park - 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/5079
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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_nm551 - Garcia Park - 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: Garcia Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.33
#	Southernmost_Latitude: 36.33
#	Easternmost_Longitude: -105.37
#	Westernmost_Longitude: -105.37
#	Elevation: 2743 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm551B
#	Earliest_Year: 1705
#	Most_Recent_Year: 1981
#	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":"3.60947825598","T2":"14.5883193723","M1":"0.0224157070374","M2":"0.546585455309"}}
#--------------------
# 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
1705	0.917
1706	1.005
1707	0.491
1708	0.831
1709	0.761
1710	1.219
1711	0.867
1712	1.03
1713	0.997
1714	0.794
1715	0.45
1716	0.351
1717	0.639
1718	1.086
1719	0.6
1720	1.482
1721	0.912
1722	0.864
1723	0.698
1724	1.06
1725	0.661
1726	1.346
1727	0.757
1728	0.427
1729	0.09
1730	0.428
1731	0.464
1732	0.606
1733	0.484
1734	0.865
1735	0.36
1736	0.763
1737	0.347
1738	0.635
1739	0.544
1740	0.789
1741	0.612
1742	0.9
1743	1.188
1744	0.872
1745	0.992
1746	1.208
1747	1.183
1748	0.174
1749	0.844
1750	0.789
1751	1.005
1752	0.162
1753	0.452
1754	0.88
1755	1.002
1756	0.942
1757	0.749
1758	0.89
1759	0.864
1760	1.099
1761	1.503
1762	1.481
1763	1.248
1764	1.831
1765	0.83
1766	1.594
1767	1.39
1768	1.577
1769	1.596
1770	1.369
1771	1.799
1772	1.586
1773	0.646
1774	1.066
1775	0.822
1776	0.939
1777	0.69
1778	0.434
1779	0.578
1780	0.366
1781	0.471
1782	0.69
1783	0.957
1784	1.145
1785	0.971
1786	0.876
1787	1.421
1788	1.053
1789	0.921
1790	0.836
1791	1.236
1792	1.528
1793	1.813
1794	1.386
1795	1.056
1796	1.235
1797	1.323
1798	0.726
1799	1.215
1800	1.392
1801	0.191
1802	0.882
1803	1.007
1804	1.226
1805	0.989
1806	0.706
1807	1.066
1808	0.64
1809	0.668
1810	0.975
1811	1.048
1812	1.119
1813	1.341
1814	0.607
1815	1.293
1816	1.406
1817	1.125
1818	0.823
1819	0.543
1820	0.932
1821	1.249
1822	0.943
1823	1.038
1824	0.956
1825	1.45
1826	1.308
1827	1.505
1828	1.682
1829	1.354
1830	1.132
1831	1.26
1832	1.503
1833	1.652
1834	1.561
1835	1.697
1836	1.014
1837	1.372
1838	1.352
1839	1.616
1840	1.557
1841	1.049
1842	0.326
1843	0.863
1844	0.967
1845	0.68
1846	0.368
1847	0.411
1848	0.368
1849	0.766
1850	0.678
1851	0.169
1852	0.731
1853	0.946
1854	1.191
1855	1.012
1856	0.96
1857	0.934
1858	1.03
1859	0.738
1860	0.853
1861	0.33
1862	0.732
1863	0.692
1864	0.723
1865	0.777
1866	1.059
1867	1.26
1868	1.371
1869	1.372
1870	1.278
1871	0.872
1872	1.254
1873	0.886
1874	0.909
1875	1.094
1876	1.274
1877	0.958
1878	1.076
1879	0.873
1880	0.318
1881	0.699
1882	1.201
1883	0.988
1884	1.316
1885	1.686
1886	1.614
1887	2.054
1888	1.57
1889	1.757
1890	1.203
1891	1.14
1892	1.111
1893	0.852
1894	0.716
1895	1.458
1896	0.64
1897	1.365
1898	1.053
1899	0.587
1900	0.651
1901	0.705
1902	0.458
1903	1.087
1904	0.696
1905	1.06
1906	1.261
1907	1.643
1908	1.338
1909	1.227
1910	1.299
1911	1.536
1912	1.271
1913	1.052
1914	1.478
1915	1.335
1916	1.228
1917	0.794
1918	0.969
1919	1.04
1920	1.021
1921	1.383
1922	0.531
1923	0.424
1924	0.711
1925	0.6
1926	0.836
1927	0.736
1928	0.744
1929	1.222
1930	0.972
1931	0.514
1932	0.847
1933	0.777
1934	0.33
1935	0.915
1936	0.588
1937	1.005
1938	0.765
1939	0.772
1940	0.72
1941	1.233
1942	1.116
1943	0.986
1944	1.14
1945	1.295
1946	0.35
1947	0.924
1948	0.833
1949	1.033
1950	0.839
1951	0.492
1952	0.807
1953	0.755
1954	0.872
1955	0.806
1956	0.053
1957	0.413
1958	0.66
1959	0.401
1960	0.954
1961	0.758
1962	0.963
1963	0.47
1964	1.047
1965	1.565
1966	1.374
1967	0.957
1968	1.035
1969	1.471
1970	0.809
1971	0.168
1972	0.419
1973	0.831
1974	0.908
1975	1.327
1976	1.116
1977	0.85
1978	0.906
1979	1.055
1980	1.118
1981	0.964