# northamerica_usa_fl009 - Upper Withlacoochee River - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/8570
#
# 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_fl009 - Upper Withlacoochee River - 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.
#------------------
# 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: Upper Withlacoochee River
#	Location:
#	Country: United States
#	Northernmost_Latitude: 28.3
#	Southernmost_Latitude: 28.3
#	Easternmost_Longitude: -82.08
#	Westernmost_Longitude: -82.08
#	Elevation: 26 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_fl009B
#	Earliest_Year: 1658
#	Most_Recent_Year: 2005
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.13982268901","T2":"10.4367581254","M1":"0.0221140000201","M2":"0.134341474394"}}
#--------------------
# Species
#	Species_Name: baldcypress
#	Species_Code: TADI
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1658	1.015
1659	0.705
1660	0.636
1661	1.939
1662	0.805
1663	0.449
1664	1.076
1665	0.781
1666	2.081
1667	1.354
1668	0.663
1669	0.689
1670	1.088
1671	0.471
1672	0.562
1673	0.949
1674	0.437
1675	1.428
1676	0.868
1677	0.962
1678	1.431
1679	0.534
1680	0.945
1681	1.019
1682	1.754
1683	2.456
1684	1.526
1685	0.725
1686	1.696
1687	1.662
1688	1.61
1689	0.987
1690	0.679
1691	1.43
1692	1.106
1693	0.533
1694	0.865
1695	1.485
1696	0.804
1697	0.777
1698	1.035
1699	0.736
1700	0.562
1701	1.056
1702	0.987
1703	0.762
1704	0.448
1705	0.964
1706	0.666
1707	0.577
1708	0.692
1709	0.887
1710	1.209
1711	0.841
1712	1.082
1713	0.419
1714	0.377
1715	0.4
1716	0.931
1717	1.617
1718	0.534
1719	1.268
1720	0.53
1721	1.245
1722	0.931
1723	1.097
1724	0.886
1725	0.361
1726	0.546
1727	1.027
1728	1.1
1729	0.73
1730	0.713
1731	1.306
1732	1.474
1733	0.66
1734	0.722
1735	0.89
1736	1.167
1737	1.25
1738	0.59
1739	1.16
1740	0.769
1741	0.85
1742	0.562
1743	1.021
1744	0.593
1745	0.773
1746	0.881
1747	1.414
1748	0.436
1749	1.154
1750	0.781
1751	1.109
1752	0.498
1753	0.656
1754	0.39
1755	1.091
1756	0.703
1757	1.358
1758	0.819
1759	1.361
1760	1.157
1761	2.724
1762	1.025
1763	1.085
1764	0.858
1765	1.354
1766	1.379
1767	0.691
1768	1.495
1769	0.568
1770	0.713
1771	2.519
1772	0.749
1773	1.198
1774	1.14
1775	1.648
1776	0.983
1777	0.805
1778	0.927
1779	0.932
1780	1.357
1781	0.569
1782	1.178
1783	1.181
1784	0.843
1785	1.337
1786	1.07
1787	0.72
1788	0.786
1789	1.337
1790	0.371
1791	0.912
1792	1.079
1793	1.197
1794	0.535
1795	1.012
1796	0.386
1797	0.794
1798	0.752
1799	0.345
1800	1.287
1801	0.5
1802	0.421
1803	0.663
1804	1.139
1805	0.412
1806	0.81
1807	0.755
1808	0.409
1809	0.564
1810	0.52
1811	0.988
1812	1.112
1813	0.567
1814	1.187
1815	0.404
1816	0.853
1817	1.088
1818	0.641
1819	0.555
1820	0.541
1821	1.306
1822	0.766
1823	1.168
1824	0.72
1825	2.054
1826	0.266
1827	0.831
1828	0.645
1829	2.507
1830	0.515
1831	1.002
1832	0.599
1833	2.068
1834	0.277
1835	0.788
1836	0.985
1837	1.109
1838	1.113
1839	1.039
1840	0.749
1841	0.836
1842	0.574
1843	0.923
1844	0.295
1845	0.646
1846	1.522
1847	0.688
1848	0.566
1849	0.401
1850	0.411
1851	0.917
1852	1.513
1853	0.807
1854	1.857
1855	0.815
1856	1.851
1857	0.679
1858	1.168
1859	0.74
1860	0.727
1861	0.638
1862	0.693
1863	0.787
1864	1.002
1865	0.854
1866	0.736
1867	1.188
1868	0.581
1869	1.261
1870	1.042
1871	0.938
1872	0.568
1873	1.291
1874	0.654
1875	0.732
1876	0.81
1877	0.82
1878	1.811
1879	0.477
1880	0.97
1881	0.724
1882	0.589
1883	0.855
1884	0.845
1885	1.002
1886	0.987
1887	0.399
1888	0.862
1889	0.569
1890	0.209
1891	0.811
1892	0.629
1893	0.892
1894	0.597
1895	1.329
1896	0.657
1897	0.493
1898	0.296
1899	0.94
1900	1.609
1901	0.665
1902	0.765
1903	0.95
1904	0.54
1905	0.786
1906	0.54
1907	0.479
1908	0.619
1909	0.85
1910	0.556
1911	0.485
1912	1.155
1913	1.068
1914	0.713
1915	1.051
1916	0.781
1917	0.769
1918	0.675
1919	1.526
1920	0.675
1921	0.676
1922	0.831
1923	1.138
1924	1.587
1925	1.079
1926	1.46
1927	0.821
1928	0.897
1929	0.813
1930	2.573
1931	1.724
1932	1.178
1933	2.311
1934	2.739
1935	0.806
1936	1.63
1937	1.162
1938	1.125
1939	1.24
1940	1.323
1941	1.189
1942	1.417
1943	1.001
1944	0.635
1945	0.528
1946	1.119
1947	2.088
1948	0.736
1949	0.92
1950	1.11
1951	1.362
1952	1.205
1953	1.468
1954	0.91
1955	0.833
1956	1.05
1957	2.032
1958	1.221
1959	1.962
1960	0.878
1961	0.803
1962	0.676
1963	0.979
1964	0.905
1965	0.525
1966	1.092
1967	0.36
1968	1.181
1969	0.492
1970	0.834
1971	0.375
1972	0.654
1973	0.919
1974	0.54
1975	0.54
1976	1.286
1977	0.619
1978	0.995
1979	0.795
1980	0.801
1981	0.366
1982	1.152
1983	1.161
1984	0.795
1985	0.459
1986	0.795
1987	0.755
1988	0.876
1989	0.63
1990	0.762
1991	1.032
1992	0.691
1993	0.846
1994	0.736
1995	1.131
1996	1.223
1997	0.42
1998	0.683
1999	0.64
2000	0.321
2001	0.45
2002	0.851
2003	1.408
2004	0.881
2005	1.491