# northamerica_usa_ny009 - Roaring Brook Keene Valley - 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/3021
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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_ny009 - Roaring Brook Keene Valley - 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
#------------------
# Site_Information
#	Site_Name: Roaring Brook Keene Valley
#	Location:
#	Country: United States
#	Northernmost_Latitude: 44.13
#	Southernmost_Latitude: 44.13
#	Easternmost_Longitude: -73.75
#	Westernmost_Longitude: -73.75
#	Elevation: 250 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ny009B
#	Earliest_Year: 1679
#	Most_Recent_Year: 1978
#	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":"5.18113766782","T2":"13.5321552362","M1":"0.0226594540956","M2":"0.53052424403"}}
#--------------------
# 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
1679	0.981
1680	1.372
1681	1.581
1682	1.949
1683	1.362
1684	0.727
1685	0.762
1686	0.732
1687	0.398
1688	0.598
1689	0.821
1690	0.934
1691	0.747
1692	1.013
1693	0.877
1694	0.914
1695	1.313
1696	1.423
1697	1.155
1698	1.089
1699	1.182
1700	0.957
1701	1.146
1702	0.959
1703	1.492
1704	1.167
1705	1.391
1706	1.016
1707	1.037
1708	0.399
1709	0.436
1710	0.452
1711	0.483
1712	0.65
1713	0.637
1714	0.696
1715	0.796
1716	0.573
1717	0.404
1718	0.793
1719	0.838
1720	0.83
1721	0.966
1722	0.932
1723	0.46
1724	0.743
1725	1.027
1726	0.861
1727	0.871
1728	0.512
1729	0.653
1730	0.671
1731	0.574
1732	0.504
1733	0.471
1734	0.684
1735	0.563
1736	0.447
1737	0.581
1738	0.551
1739	0.713
1740	0.624
1741	0.513
1742	0.488
1743	0.443
1744	0.369
1745	0.657
1746	0.543
1747	0.739
1748	0.417
1749	0.624
1750	0.704
1751	0.354
1752	0.584
1753	0.585
1754	0.441
1755	0.018
1756	0.24
1757	0.266
1758	0.353
1759	0.514
1760	0.629
1761	0.61
1762	0.829
1763	0.795
1764	0.969
1765	1.038
1766	0.897
1767	0.663
1768	0.733
1769	0.802
1770	0.65
1771	0.815
1772	1.119
1773	0.926
1774	0.909
1775	0.824
1776	0.921
1777	0.885
1778	0.788
1779	0.914
1780	0.831
1781	0.955
1782	0.891
1783	0.954
1784	0.969
1785	0.943
1786	1.293
1787	1.13
1788	1.253
1789	1.376
1790	1.417
1791	1.218
1792	0.455
1793	0.694
1794	0.227
1795	0.19
1796	0.305
1797	0.446
1798	0.56
1799	0.663
1800	0.833
1801	0.97
1802	0.761
1803	1.001
1804	0.967
1805	1.076
1806	0.968
1807	1.243
1808	1.004
1809	1.066
1810	1.283
1811	1.346
1812	1.53
1813	1.47
1814	1.402
1815	1.803
1816	1.619
1817	1.745
1818	1.06
1819	0.873
1820	0.85
1821	0.972
1822	1.095
1823	0.961
1824	1.099
1825	1.279
1826	1.258
1827	1.271
1828	1.267
1829	1.444
1830	1.795
1831	1.54
1832	1.603
1833	1.966
1834	1.925
1835	2.027
1836	1.803
1837	1.745
1838	1.622
1839	1.267
1840	1.208
1841	1.053
1842	0.743
1843	0.323
1844	0.041
1845	0.189
1846	0.259
1847	0.433
1848	0.595
1849	0.591
1850	0.683
1851	1.094
1852	0.921
1853	1.077
1854	1.173
1855	1.297
1856	1.282
1857	1.652
1858	1.781
1859	1.575
1860	2.07
1861	1.627
1862	1.439
1863	1.335
1864	0.904
1865	0.551
1866	0.489
1867	0.425
1868	0.511
1869	0.646
1870	0.943
1871	0.867
1872	0.939
1873	1.048
1874	1.268
1875	1.65
1876	1.451
1877	1.43
1878	1.384
1879	1.367
1880	1.363
1881	1.464
1882	1.499
1883	1.278
1884	1.281
1885	1.328
1886	1.636
1887	1.134
1888	1.21
1889	1.6
1890	1.614
1891	1.339
1892	1.495
1893	1.714
1894	1.957
1895	1.579
1896	1.883
1897	1.601
1898	1.237
1899	1.109
1900	1.329
1901	0.924
1902	0.838
1903	1.007
1904	1.433
1905	1.4
1906	1.444
1907	1.378
1908	1.289
1909	0.958
1910	1.107
1911	1.317
1912	1.025
1913	0.84
1914	0.872
1915	0.761
1916	1.091
1917	0.982
1918	1.085
1919	1.103
1920	0.978
1921	0.913
1922	0.988
1923	0.825
1924	1.047
1925	1.044
1926	1.062
1927	1.126
1928	1.211
1929	1.154
1930	1.363
1931	1.428
1932	1.573
1933	1.202
1934	0.974
1935	0.956
1936	0.671
1937	0.858
1938	0.894
1939	0.842
1940	0.722
1941	0.86
1942	0.666
1943	0.586
1944	0.587
1945	0.715
1946	0.911
1947	0.703
1948	0.52
1949	0.55
1950	0.535
1951	0.655
1952	0.698
1953	0.502
1954	0.594
1955	0.714
1956	0.447
1957	0.638
1958	0.856
1959	0.778
1960	0.571
1961	0.892
1962	0.598
1963	0.652
1964	0.656
1965	0.575
1966	0.493
1967	0.53
1968	0.566
1969	0.683
1970	0.579
1971	0.534
1972	0.437
1973	0.558
1974	0.427
1975	0.354
1976	0.3
1977	0.29
1978	0.459