# northamerica_usa_ms001 - Pearl 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/4919
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ms001 - Pearl 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: Pearl River
#	Location:
#	Country: United States
#	Northernmost_Latitude: 32.87
#	Southernmost_Latitude: 32.87
#	Easternmost_Longitude: -89.13
#	Westernmost_Longitude: -89.13
#	Elevation: 116 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ms001B
#	Earliest_Year: 1620
#	Most_Recent_Year: 1983
#	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":"4.99289131248","T2":"18.7787712472","M1":"0.0226825041951","M2":"0.57931177503"}}
#--------------------
# 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
1620	1.473
1621	0.758
1622	0.935
1623	0.7
1624	0.62
1625	0.603
1626	1.733
1627	0.898
1628	0.767
1629	1.128
1630	1.035
1631	1.005
1632	0.873
1633	0.763
1634	0.604
1635	0.706
1636	0.818
1637	0.528
1638	0.766
1639	1.079
1640	1.076
1641	0.843
1642	0.781
1643	0.684
1644	0.77
1645	1.221
1646	0.71
1647	1.014
1648	1.16
1649	1.105
1650	1.048
1651	0.748
1652	0.971
1653	0.957
1654	0.746
1655	0.702
1656	1.035
1657	0.836
1658	1.427
1659	0.949
1660	0.77
1661	1.085
1662	0.766
1663	0.72
1664	0.77
1665	1.26
1666	0.853
1667	1.006
1668	1.008
1669	0.696
1670	0.747
1671	0.498
1672	0.871
1673	0.926
1674	1.164
1675	0.681
1676	0.527
1677	0.631
1678	0.618
1679	1.302
1680	0.919
1681	1.058
1682	0.902
1683	0.975
1684	0.883
1685	0.957
1686	0.821
1687	1.119
1688	1.128
1689	1.946
1690	1.258
1691	0.948
1692	1.104
1693	1.051
1694	0.629
1695	1.1
1696	1.056
1697	0.587
1698	1.104
1699	0.814
1700	1.092
1701	1.44
1702	0.992
1703	0.779
1704	0.626
1705	0.625
1706	1.073
1707	0.795
1708	0.692
1709	0.361
1710	0.678
1711	1.037
1712	1.007
1713	1.24
1714	0.706
1715	0.546
1716	1.069
1717	0.899
1718	0.662
1719	1.052
1720	0.685
1721	1.366
1722	0.595
1723	0.978
1724	1.315
1725	0.373
1726	0.755
1727	0.74
1728	1.086
1729	0.965
1730	0.686
1731	0.827
1732	0.867
1733	0.95
1734	1.331
1735	0.747
1736	1.106
1737	0.774
1738	0.65
1739	0.659
1740	1.037
1741	0.833
1742	1.343
1743	0.962
1744	0.82
1745	0.659
1746	1.655
1747	0.863
1748	1.307
1749	1.154
1750	1.549
1751	0.974
1752	0.966
1753	0.953
1754	1.008
1755	0.953
1756	0.559
1757	0.775
1758	1.023
1759	0.709
1760	0.498
1761	0.966
1762	0.909
1763	1.437
1764	0.999
1765	0.9
1766	0.876
1767	0.5
1768	0.735
1769	1.274
1770	0.782
1771	0.672
1772	0.688
1773	0.826
1774	1.381
1775	1.081
1776	1.28
1777	1.283
1778	1.054
1779	1.048
1780	0.476
1781	0.793
1782	1.669
1783	0.588
1784	0.746
1785	1.069
1786	0.992
1787	1.145
1788	1.332
1789	1.342
1790	1.094
1791	0.828
1792	1.256
1793	1.671
1794	0.587
1795	1.171
1796	1.268
1797	0.83
1798	0.891
1799	0.901
1800	0.691
1801	0.635
1802	0.735
1803	0.913
1804	1.058
1805	2.31
1806	1.542
1807	0.434
1808	0.638
1809	0.668
1810	0.846
1811	0.915
1812	0.524
1813	1.063
1814	0.649
1815	1.151
1816	0.695
1817	0.863
1818	0.788
1819	0.595
1820	0.831
1821	1.007
1822	0.701
1823	1.411
1824	0.752
1825	0.963
1826	1.04
1827	0.781
1828	0.592
1829	1.361
1830	1.065
1831	0.699
1832	0.982
1833	0.869
1834	0.56
1835	1.304
1836	1.723
1837	1.165
1838	1.412
1839	1.16
1840	0.885
1841	1.128
1842	1.518
1843	1.318
1844	0.786
1845	1.1
1846	0.55
1847	0.835
1848	0.902
1849	0.985
1850	1.137
1851	1.244
1852	1.039
1853	1.09
1854	1.227
1855	0.918
1856	0.623
1857	1.269
1858	1.541
1859	0.725
1860	1.029
1861	0.771
1862	1.046
1863	0.696
1864	1.466
1865	0.889
1866	1.486
1867	1.712
1868	0.75
1869	1.463
1870	1.081
1871	0.766
1872	1.096
1873	1.176
1874	0.944
1875	0.93
1876	1.094
1877	0.808
1878	1.573
1879	1.359
1880	1.433
1881	1.173
1882	1.326
1883	1.175
1884	1.6
1885	1.209
1886	1.416
1887	0.829
1888	1.088
1889	1.448
1890	1.055
1891	1.015
1892	1.557
1893	1.262
1894	0.762
1895	0.677
1896	0.793
1897	0.623
1898	1.03
1899	0.971
1900	1.773
1901	0.96
1902	0.632
1903	1.013
1904	0.29
1905	0.636
1906	1.141
1907	1.475
1908	1.582
1909	2.302
1910	1.502
1911	0.556
1912	1.254
1913	0.943
1914	0.624
1915	0.641
1916	1.248
1917	0.654
1918	0.838
1919	1.474
1920	1.139
1921	0.911
1922	1.167
1923	1.273
1924	0.474
1925	0.665
1926	0.408
1927	0.741
1928	0.614
1929	0.984
1930	0.698
1931	0.679
1932	0.638
1933	0.877
1934	0.836
1935	1.127
1936	0.418
1937	0.649
1938	0.595
1939	1.03
1940	0.687
1941	0.334
1942	0.668
1943	0.425
1944	0.602
1945	0.469
1946	1.003
1947	0.441
1948	0.556
1949	1.063
1950	0.466
1951	1.009
1952	0.393
1953	0.613
1954	0.754
1955	0.574
1956	0.278
1957	0.654
1958	0.601
1959	1.091
1960	0.781
1961	1.437
1962	0.591
1963	0.807
1964	1.36
1965	1.012
1966	1.351
1967	1.204
1968	1.076
1969	0.683
1970	1.08
1971	0.812
1972	0.912
1973	0.915
1974	1.524
1975	0.868
1976	0.859
1977	0.462
1978	0.558
1979	0.892
1980	0.603
1981	0.88
1982	0.49
1983	1.247