# northamerica_usa_ok025 - Mud 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/4906
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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_ok025 - Mud 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
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# Site_Information
#	Site_Name: Mud Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.1
#	Southernmost_Latitude: 34.1
#	Easternmost_Longitude: -97.67
#	Westernmost_Longitude: -97.67
#	Elevation: 260 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ok025B
#	Earliest_Year: 1710
#	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":"4.25089618007","T2":"16.7642093339","M1":"0.0223552080691","M2":"0.512938942142"}}
#--------------------
# Species
#	Species_Name: post oak
#	Species_Code: QUST
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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
1710	0.697
1711	1.253
1712	1.496
1713	1.564
1714	0.957
1715	0.71
1716	0.599
1717	0.675
1718	1.54
1719	1.85
1720	1.077
1721	1.275
1722	0.521
1723	1.289
1724	0.504
1725	0.512
1726	0.8
1727	0.608
1728	0.548
1729	1.143
1730	0.339
1731	0.664
1732	1.121
1733	0.792
1734	0.878
1735	1.554
1736	0.565
1737	0.717
1738	1.448
1739	1.017
1740	1.627
1741	1.136
1742	1.016
1743	0.785
1744	1.553
1745	1.074
1746	2.099
1747	1.873
1748	1.806
1749	1.1
1750	1.255
1751	1.054
1752	0.425
1753	0.74
1754	0.647
1755	0.418
1756	0.607
1757	0.651
1758	1.291
1759	0.77
1760	1.687
1761	1.186
1762	1.24
1763	0.918
1764	1.008
1765	0.993
1766	0.888
1767	0.63
1768	0.503
1769	0.489
1770	0.972
1771	1.052
1772	0.416
1773	0.528
1774	0.957
1775	0.828
1776	1.179
1777	0.907
1778	0.696
1779	0.81
1780	0.797
1781	1.204
1782	1.332
1783	1.472
1784	1.198
1785	0.854
1786	0.432
1787	0.736
1788	1.274
1789	0.549
1790	0.575
1791	0.967
1792	1.012
1793	0.864
1794	0.757
1795	1.057
1796	1.372
1797	0.91
1798	0.683
1799	0.93
1800	0.769
1801	0.519
1802	1.035
1803	1.268
1804	1.008
1805	0.637
1806	0.913
1807	1.192
1808	0.611
1809	1.133
1810	0.926
1811	1.159
1812	0.898
1813	0.737
1814	0.825
1815	0.971
1816	0.892
1817	1.589
1818	0.978
1819	1.094
1820	0.903
1821	1.061
1822	0.839
1823	0.966
1824	0.835
1825	1.534
1826	1.462
1827	1.621
1828	1.434
1829	0.968
1830	0.942
1831	0.748
1832	0.855
1833	1.918
1834	1.117
1835	1.078
1836	1.912
1837	1.564
1838	1.269
1839	0.993
1840	1.161
1841	1.002
1842	0.692
1843	1.403
1844	0.892
1845	0.638
1846	0.823
1847	0.665
1848	0.888
1849	1.227
1850	0.912
1851	1.011
1852	0.961
1853	0.909
1854	0.659
1855	0.361
1856	0.7
1857	0.899
1858	0.942
1859	0.613
1860	0.679
1861	0.517
1862	0.609
1863	0.503
1864	0.495
1865	0.59
1866	0.599
1867	0.932
1868	0.799
1869	1.06
1870	0.837
1871	0.959
1872	0.751
1873	0.933
1874	0.725
1875	0.797
1876	0.852
1877	0.743
1878	0.654
1879	0.58
1880	0.547
1881	0.806
1882	0.742
1883	1.02
1884	0.663
1885	1.346
1886	0.616
1887	0.645
1888	1.235
1889	1.004
1890	1.427
1891	1.128
1892	0.825
1893	0.738
1894	1.242
1895	0.454
1896	0.729
1897	0.942
1898	1.333
1899	1.221
1900	1.043
1901	0.844
1902	0.786
1903	1.373
1904	0.617
1905	1.282
1906	1.021
1907	1.263
1908	1.602
1909	0.788
1910	0.549
1911	0.484
1912	1.119
1913	0.974
1914	1.53
1915	1.61
1916	1.425
1917	0.778
1918	0.652
1919	1.288
1920	1.521
1921	1.433
1922	1.016
1923	1.099
1924	1.3
1925	0.576
1926	1.219
1927	1.25
1928	1.547
1929	1.179
1930	1.15
1931	1.436
1932	1.565
1933	1.084
1934	0.932
1935	1.58
1936	1.039
1937	1.35
1938	1.03
1939	0.672
1940	0.794
1941	1.542
1942	1.551
1943	1.458
1944	1.271
1945	1.319
1946	1.18
1947	1.34
1948	1.161
1949	1.212
1950	1.182
1951	1.242
1952	0.742
1953	0.699
1954	0.969
1955	0.895
1956	0.407
1957	1.136
1958	1.036
1959	0.504
1960	1.006
1961	0.918
1962	0.852
1963	0.728
1964	0.611
1965	1.229
1966	0.729
1967	0.856
1968	1.157
1969	0.974
1970	0.837
1971	0.533
1972	0.724
1973	0.896
1974	0.708
1975	1.218
1976	0.802
1977	0.882
1978	0.808
1979	0.715
1980	0.6
1981	0.902
1982	1.014
1983	0.798
1984	0.545
1985	0.885
1986	0.896
1987	1.13
1988	0.864
1989	0.965
1990	0.878
1991	0.871
1992	1.49
1993	1.376
1994	0.962
1995	1.416