# northamerica_usa_nh003 - Nancy Brook Recollection - Breitenmoser Tree Ring Chronology Data
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#		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.
#
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# 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/3006
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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_nh003 - Nancy Brook Recollection - 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: Nancy Brook Recollection
#	Location:
#	Country: United States
#	Northernmost_Latitude: 44.1
#	Southernmost_Latitude: 44.1
#	Easternmost_Longitude: -71.38
#	Westernmost_Longitude: -71.38
#	Elevation: 750 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nh003B
#	Earliest_Year: 1673
#	Most_Recent_Year: 1979
#	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":"4.19554508703","T2":"14.733035595","M1":"0.0224557659559","M2":"0.472496368268"}}
#--------------------
# Species
#	Species_Name: red spruce
#	Species_Code: PCRU
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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
1673	0.761
1674	0.899
1675	0.729
1676	0.807
1677	0.7
1678	0.803
1679	0.689
1680	0.81
1681	0.714
1682	0.619
1683	0.677
1684	0.645
1685	0.727
1686	0.856
1687	0.47
1688	0.416
1689	0.651
1690	0.685
1691	0.639
1692	0.715
1693	0.702
1694	0.766
1695	0.664
1696	0.77
1697	0.693
1698	0.822
1699	0.973
1700	0.887
1701	0.853
1702	0.942
1703	0.929
1704	0.871
1705	0.919
1706	1.029
1707	1.07
1708	0.924
1709	0.709
1710	0.533
1711	0.585
1712	0.917
1713	0.657
1714	0.702
1715	0.743
1716	0.674
1717	0.634
1718	0.644
1719	0.762
1720	0.517
1721	0.73
1722	0.766
1723	0.765
1724	0.753
1725	0.949
1726	0.872
1727	0.875
1728	0.523
1729	0.855
1730	0.726
1731	0.821
1732	0.951
1733	0.841
1734	1.049
1735	0.904
1736	0.979
1737	0.827
1738	0.882
1739	0.873
1740	0.739
1741	0.68
1742	0.846
1743	0.828
1744	0.883
1745	1.083
1746	1.257
1747	1.197
1748	1.017
1749	1.081
1750	1.055
1751	0.884
1752	1.132
1753	1.243
1754	1.419
1755	1.12
1756	1.007
1757	0.95
1758	0.888
1759	1.028
1760	1.0
1761	1.134
1762	1.14
1763	1.06
1764	1.077
1765	1.003
1766	1.185
1767	1.077
1768	0.978
1769	1.169
1770	1.091
1771	1.431
1772	1.187
1773	1.098
1774	1.006
1775	1.271
1776	0.95
1777	1.246
1778	1.124
1779	1.077
1780	1.204
1781	0.94
1782	0.936
1783	0.917
1784	1.122
1785	1.175
1786	1.298
1787	1.295
1788	1.254
1789	1.261
1790	1.159
1791	1.334
1792	1.165
1793	1.445
1794	0.988
1795	0.815
1796	0.856
1797	1.144
1798	1.069
1799	1.216
1800	1.15
1801	1.11
1802	1.012
1803	1.073
1804	1.065
1805	1.042
1806	0.91
1807	1.386
1808	1.052
1809	0.765
1810	0.737
1811	0.576
1812	0.818
1813	1.092
1814	1.285
1815	1.769
1816	1.37
1817	1.671
1818	1.296
1819	1.479
1820	1.007
1821	0.932
1822	1.196
1823	1.185
1824	1.035
1825	1.325
1826	1.246
1827	1.208
1828	1.216
1829	1.241
1830	1.434
1831	1.198
1832	1.108
1833	1.208
1834	1.385
1835	1.185
1836	1.169
1837	0.959
1838	1.005
1839	0.833
1840	1.056
1841	0.962
1842	1.168
1843	1.212
1844	0.85
1845	1.052
1846	0.721
1847	0.735
1848	0.959
1849	0.832
1850	0.973
1851	1.067
1852	1.06
1853	1.135
1854	1.18
1855	1.107
1856	1.148
1857	1.084
1858	1.08
1859	1.221
1860	1.257
1861	1.515
1862	1.085
1863	0.95
1864	1.013
1865	0.959
1866	0.892
1867	1.049
1868	0.83
1869	0.72
1870	0.965
1871	0.743
1872	0.641
1873	0.605
1874	0.651
1875	0.787
1876	0.831
1877	0.893
1878	0.923
1879	1.157
1880	1.147
1881	0.979
1882	0.911
1883	1.076
1884	1.021
1885	1.178
1886	1.223
1887	1.097
1888	1.034
1889	1.129
1890	1.18
1891	1.273
1892	1.473
1893	1.432
1894	1.384
1895	0.971
1896	1.254
1897	1.077
1898	1.014
1899	0.958
1900	1.195
1901	0.949
1902	0.896
1903	1.121
1904	1.258
1905	1.098
1906	1.315
1907	1.067
1908	1.139
1909	0.906
1910	1.013
1911	0.983
1912	0.978
1913	1.013
1914	1.03
1915	0.981
1916	1.122
1917	0.853
1918	0.701
1919	0.877
1920	1.009
1921	0.961
1922	0.914
1923	0.861
1924	1.127
1925	0.922
1926	0.986
1927	0.946
1928	0.966
1929	0.904
1930	1.036
1931	1.292
1932	1.197
1933	1.037
1934	0.963
1935	0.863
1936	0.774
1937	0.832
1938	0.791
1939	0.899
1940	0.812
1941	0.934
1942	0.803
1943	0.829
1944	0.905
1945	0.794
1946	0.862
1947	0.807
1948	0.513
1949	0.877
1950	0.751
1951	0.766
1952	0.882
1953	0.816
1954	0.85
1955	0.96
1956	0.568
1957	0.798
1958	0.928
1959	0.646
1960	0.61
1961	0.795
1962	0.667
1963	0.797
1964	0.727
1965	0.676
1966	0.526
1967	0.734
1968	0.531
1969	0.668
1970	0.702
1971	0.798
1972	0.753
1973	0.609
1974	0.68
1975	0.869
1976	0.802
1977	0.816
1978	0.792
1979	0.636