# northamerica_usa_ar055 - Hemmed in Hollow - 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/4863
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ar055 - Hemmed in Hollow - 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: Hemmed in Hollow
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.08
#	Southernmost_Latitude: 36.08
#	Easternmost_Longitude: -93.3
#	Westernmost_Longitude: -93.3
#	Elevation: 396 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ar055B
#	Earliest_Year: 1611
#	Most_Recent_Year: 1992
#	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":"4.82267917365","T2":"16.7519510801","M1":"0.0226770245422","M2":"0.611225057729"}}
#--------------------
# Species
#	Species_Name: eastern red cedar
#	Species_Code: JUVI
#--------------------
# 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
1611	0.571
1612	0.9
1613	0.533
1614	0.533
1615	0.413
1616	0.32
1617	0.654
1618	0.832
1619	0.742
1620	0.736
1621	0.552
1622	0.695
1623	0.525
1624	0.529
1625	0.497
1626	0.602
1627	0.572
1628	0.801
1629	0.729
1630	0.975
1631	0.718
1632	0.846
1633	0.556
1634	1.361
1635	1.234
1636	1.118
1637	1.374
1638	1.008
1639	1.339
1640	1.144
1641	1.727
1642	0.802
1643	0.824
1644	0.772
1645	0.343
1646	0.525
1647	0.956
1648	0.992
1649	1.144
1650	1.212
1651	0.983
1652	0.904
1653	0.962
1654	0.464
1655	0.515
1656	1.061
1657	1.293
1658	1.461
1659	1.16
1660	0.852
1661	1.138
1662	0.894
1663	0.77
1664	0.78
1665	0.766
1666	0.872
1667	0.904
1668	0.849
1669	0.804
1670	0.626
1671	0.769
1672	0.617
1673	0.687
1674	0.774
1675	0.848
1676	0.645
1677	1.008
1678	1.027
1679	1.177
1680	1.341
1681	0.786
1682	0.884
1683	0.939
1684	0.478
1685	0.217
1686	0.137
1687	0.486
1688	0.697
1689	0.637
1690	1.021
1691	0.951
1692	1.282
1693	1.161
1694	1.341
1695	1.421
1696	1.223
1697	1.083
1698	0.807
1699	1.315
1700	0.743
1701	1.104
1702	1.043
1703	1.052
1704	0.901
1705	0.657
1706	0.834
1707	0.948
1708	0.787
1709	0.743
1710	0.818
1711	0.994
1712	1.15
1713	1.165
1714	1.439
1715	1.376
1716	0.92
1717	0.862
1718	0.887
1719	0.895
1720	0.927
1721	0.964
1722	0.737
1723	0.93
1724	1.115
1725	1.361
1726	1.388
1727	0.654
1728	1.014
1729	1.049
1730	1.175
1731	1.062
1732	1.035
1733	0.91
1734	0.948
1735	0.866
1736	0.877
1737	0.75
1738	0.912
1739	1.326
1740	1.243
1741	0.661
1742	0.516
1743	1.015
1744	1.249
1745	0.757
1746	1.078
1747	1.482
1748	0.865
1749	0.967
1750	0.89
1751	1.166
1752	0.852
1753	0.701
1754	0.955
1755	1.003
1756	1.054
1757	0.944
1758	1.383
1759	1.289
1760	1.01
1761	1.271
1762	0.879
1763	1.172
1764	0.974
1765	1.197
1766	1.183
1767	0.718
1768	0.913
1769	1.102
1770	1.202
1771	1.598
1772	0.782
1773	0.627
1774	0.653
1775	0.653
1776	1.255
1777	1.235
1778	1.073
1779	1.026
1780	0.883
1781	1.106
1782	0.88
1783	1.53
1784	0.795
1785	0.936
1786	0.936
1787	1.066
1788	1.252
1789	1.012
1790	1.195
1791	0.632
1792	0.816
1793	1.163
1794	1.28
1795	1.116
1796	1.249
1797	1.485
1798	1.271
1799	0.919
1800	0.863
1801	0.4
1802	0.725
1803	0.736
1804	1.027
1805	1.044
1806	0.847
1807	0.704
1808	1.45
1809	0.875
1810	1.18
1811	1.076
1812	0.84
1813	0.804
1814	1.149
1815	0.917
1816	0.975
1817	1.291
1818	1.012
1819	0.712
1820	0.926
1821	0.9
1822	1.116
1823	1.119
1824	1.102
1825	1.288
1826	1.0
1827	1.592
1828	1.434
1829	1.709
1830	1.639
1831	1.377
1832	1.093
1833	1.16
1834	0.89
1835	0.9
1836	0.991
1837	1.036
1838	0.824
1839	0.548
1840	1.36
1841	0.985
1842	0.968
1843	0.62
1844	0.903
1845	1.039
1846	0.901
1847	0.875
1848	0.959
1849	1.048
1850	1.253
1851	1.035
1852	0.996
1853	0.965
1854	0.877
1855	0.252
1856	0.679
1857	0.91
1858	1.254
1859	0.923
1860	0.676
1861	0.91
1862	0.738
1863	0.704
1864	0.67
1865	0.753
1866	0.903
1867	0.935
1868	0.718
1869	1.19
1870	0.904
1871	0.742
1872	0.777
1873	0.871
1874	0.99
1875	1.055
1876	1.427
1877	1.393
1878	1.064
1879	0.834
1880	0.638
1881	0.626
1882	1.154
1883	1.128
1884	1.092
1885	0.677
1886	0.502
1887	0.799
1888	0.851
1889	1.159
1890	0.979
1891	1.044
1892	1.152
1893	0.906
1894	0.631
1895	0.635
1896	0.518
1897	0.846
1898	0.504
1899	0.677
1900	0.866
1901	0.611
1902	0.325
1903	0.833
1904	1.01
1905	0.501
1906	0.556
1907	0.859
1908	0.775
1909	1.075
1910	0.699
1911	0.648
1912	0.576
1913	0.775
1914	0.61
1915	1.059
1916	0.717
1917	1.017
1918	0.694
1919	1.009
1920	0.815
1921	0.787
1922	0.675
1923	0.967
1924	1.081
1925	0.762
1926	0.797
1927	0.964
1928	1.091
1929	1.113
1930	0.673
1931	1.003
1932	0.873
1933	0.961
1934	1.071
1935	1.616
1936	0.966
1937	1.117
1938	1.446
1939	1.307
1940	0.986
1941	0.782
1942	1.056
1943	1.173
1944	1.262
1945	1.244
1946	1.194
1947	1.142
1948	0.964
1949	1.333
1950	1.338
1951	0.935
1952	0.85
1953	1.047
1954	0.989
1955	1.194
1956	1.37
1957	1.466
1958	1.302
1959	1.669
1960	1.367
1961	1.072
1962	0.827
1963	0.772
1964	0.573
1965	0.859
1966	0.972
1967	0.966
1968	1.141
1969	1.03
1970	1.041
1971	1.119
1972	1.102
1973	1.1
1974	1.225
1975	1.06
1976	1.673
1977	0.797
1978	0.877
1979	1.012
1980	0.965
1981	1.083
1982	1.481
1983	1.473
1984	0.557
1985	0.794
1986	1.236
1987	1.026
1988	0.907
1989	1.058
1990	0.85
1991	0.923
1992	1.062