# northamerica_usa_tx039 - Coleto Creek - 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/4834
#
# 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_tx039 - Coleto Creek - 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
#------------------
# Site_Information
#	Site_Name: Coleto Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 28.83
#	Southernmost_Latitude: 28.83
#	Easternmost_Longitude: -97.18
#	Westernmost_Longitude: -97.18
#	Elevation: 35 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_tx039B
#	Earliest_Year: 1697
#	Most_Recent_Year: 1995
#	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":"4.89347954785","T2":"16.8484413224","M1":"0.022889162023","M2":"0.530644517365"}}
#--------------------
# Species
#	Species_Name: post oak
#	Species_Code: QUST
#--------------------
# Chronology:
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#
#
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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
1697	0.655
1698	0.998
1699	0.942
1700	1.324
1701	0.926
1702	1.472
1703	0.893
1704	0.644
1705	0.826
1706	1.521
1707	1.031
1708	1.314
1709	0.733
1710	1.164
1711	1.4
1712	1.294
1713	1.422
1714	0.478
1715	0.789
1716	0.771
1717	0.608
1718	1.989
1719	1.614
1720	1.532
1721	1.462
1722	0.959
1723	1.238
1724	0.867
1725	1.102
1726	1.795
1727	1.307
1728	0.622
1729	0.966
1730	0.591
1731	0.61
1732	0.832
1733	1.17
1734	0.817
1735	1.222
1736	0.733
1737	1.051
1738	0.503
1739	1.159
1740	1.915
1741	0.843
1742	0.982
1743	0.629
1744	0.716
1745	0.828
1746	0.876
1747	1.389
1748	0.908
1749	1.269
1750	0.599
1751	0.536
1752	0.488
1753	0.773
1754	0.5
1755	0.544
1756	0.746
1757	0.913
1758	0.963
1759	1.095
1760	0.886
1761	0.826
1762	0.664
1763	0.658
1764	0.741
1765	0.62
1766	0.996
1767	0.843
1768	0.822
1769	1.095
1770	1.039
1771	0.937
1772	0.646
1773	0.911
1774	0.843
1775	0.708
1776	0.621
1777	0.623
1778	0.787
1779	1.362
1780	0.952
1781	0.481
1782	0.909
1783	1.021
1784	1.166
1785	0.567
1786	0.613
1787	0.911
1788	1.397
1789	0.642
1790	0.483
1791	0.661
1792	1.49
1793	1.377
1794	1.785
1795	1.354
1796	1.272
1797	1.199
1798	0.877
1799	1.263
1800	0.89
1801	0.631
1802	1.078
1803	1.293
1804	1.014
1805	0.495
1806	0.689
1807	0.841
1808	0.541
1809	0.863
1810	0.936
1811	0.879
1812	1.055
1813	0.793
1814	1.216
1815	1.254
1816	1.001
1817	0.903
1818	1.384
1819	0.647
1820	0.701
1821	1.146
1822	0.731
1823	0.813
1824	0.58
1825	1.049
1826	0.627
1827	0.833
1828	0.785
1829	0.875
1830	0.552
1831	0.66
1832	0.82
1833	1.067
1834	1.246
1835	0.682
1836	0.808
1837	0.819
1838	0.927
1839	1.06
1840	0.719
1841	0.722
1842	0.733
1843	0.917
1844	0.994
1845	0.985
1846	0.828
1847	0.71
1848	0.924
1849	1.1
1850	1.329
1851	1.249
1852	0.751
1853	1.019
1854	1.067
1855	0.666
1856	1.09
1857	0.699
1858	1.044
1859	0.965
1860	0.637
1861	1.237
1862	0.634
1863	1.027
1864	0.79
1865	1.351
1866	0.76
1867	1.256
1868	1.462
1869	1.227
1870	0.805
1871	1.064
1872	0.791
1873	1.759
1874	0.973
1875	1.345
1876	1.02
1877	1.205
1878	1.179
1879	0.934
1880	1.387
1881	1.659
1882	1.068
1883	0.944
1884	1.091
1885	1.107
1886	0.825
1887	0.695
1888	1.536
1889	0.964
1890	0.845
1891	1.048
1892	0.79
1893	1.083
1894	0.578
1895	1.261
1896	0.97
1897	0.97
1898	1.127
1899	1.366
1900	1.426
1901	0.704
1902	0.843
1903	1.178
1904	0.999
1905	1.476
1906	1.039
1907	1.315
1908	1.316
1909	1.15
1910	1.187
1911	1.175
1912	1.251
1913	0.899
1914	1.305
1915	0.857
1916	0.693
1917	0.747
1918	1.285
1919	1.934
1920	1.337
1921	1.188
1922	1.244
1923	1.219
1924	1.492
1925	0.664
1926	1.396
1927	0.87
1928	1.195
1929	1.28
1930	1.596
1931	1.138
1932	1.192
1933	1.177
1934	0.96
1935	1.356
1936	1.26
1937	0.853
1938	0.888
1939	0.666
1940	0.814
1941	1.117
1942	0.781
1943	0.783
1944	0.97
1945	0.819
1946	0.895
1947	0.915
1948	0.983
1949	1.054
1950	0.719
1951	0.882
1952	0.881
1953	0.775
1954	0.726
1955	0.659
1956	0.713
1957	1.241
1958	0.835
1959	0.872
1960	0.84
1961	0.824
1962	0.983
1963	0.702
1964	0.809
1965	1.185
1966	1.082
1967	0.616
1968	1.094
1969	0.886
1970	0.983
1971	0.601
1972	1.115
1973	1.019
1974	0.88
1975	0.822
1976	0.872
1977	0.78
1978	0.655
1979	1.108
1980	0.914
1981	0.979
1982	1.011
1983	0.845
1984	0.785
1985	1.01
1986	0.581
1987	0.72
1988	0.61
1989	0.738
1990	0.812
1991	1.274
1992	1.29
1993	1.373
1994	1.01
1995	0.805