# northamerica_usa_me022 - Sag Pond - 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/3024
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_me022 - Sag Pond - 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: Sag Pond
#	Location:
#	Country: United States
#	Northernmost_Latitude: 46.77
#	Southernmost_Latitude: 46.77
#	Easternmost_Longitude: -69.17
#	Westernmost_Longitude: -69.17
#	Elevation: 500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_me022B
#	Earliest_Year: 1705
#	Most_Recent_Year: 1986
#	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":"5.13575700107","T2":"17.5028970395","M1":"0.0227120793795","M2":"0.411823373984"}}
#--------------------
# Species
#	Species_Name: northern white cedar
#	Species_Code: THOC
#--------------------
# 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
1705	0.909
1706	0.951
1707	1.038
1708	1.068
1709	1.059
1710	0.986
1711	0.801
1712	0.997
1713	0.813
1714	1.031
1715	0.936
1716	0.795
1717	0.792
1718	0.872
1719	0.825
1720	0.694
1721	0.681
1722	0.846
1723	0.894
1724	0.977
1725	0.963
1726	0.78
1727	0.982
1728	0.918
1729	1.026
1730	0.769
1731	0.891
1732	1.108
1733	0.863
1734	0.806
1735	0.719
1736	0.675
1737	0.782
1738	1.018
1739	0.884
1740	0.875
1741	0.825
1742	1.006
1743	0.982
1744	0.803
1745	0.883
1746	0.828
1747	0.956
1748	0.842
1749	0.915
1750	0.952
1751	0.791
1752	0.86
1753	0.792
1754	1.114
1755	1.146
1756	0.973
1757	0.852
1758	0.741
1759	1.033
1760	0.905
1761	1.273
1762	1.303
1763	1.204
1764	1.107
1765	1.242
1766	1.246
1767	1.408
1768	1.244
1769	0.933
1770	1.009
1771	1.153
1772	1.072
1773	1.052
1774	0.934
1775	1.268
1776	1.036
1777	0.964
1778	1.054
1779	0.971
1780	1.233
1781	1.131
1782	1.221
1783	0.962
1784	1.095
1785	1.236
1786	1.208
1787	1.561
1788	0.992
1789	1.035
1790	1.053
1791	0.98
1792	0.841
1793	1.183
1794	1.021
1795	0.882
1796	0.839
1797	0.906
1798	1.001
1799	1.081
1800	1.103
1801	1.074
1802	1.102
1803	1.1
1804	1.126
1805	1.155
1806	1.134
1807	1.366
1808	0.99
1809	1.066
1810	0.989
1811	1.19
1812	1.03
1813	1.218
1814	1.262
1815	1.334
1816	1.03
1817	0.938
1818	0.777
1819	1.018
1820	0.866
1821	0.741
1822	0.827
1823	0.962
1824	0.887
1825	1.06
1826	0.836
1827	0.944
1828	0.884
1829	0.89
1830	1.019
1831	0.76
1832	0.992
1833	1.087
1834	0.932
1835	0.745
1836	0.878
1837	0.891
1838	0.562
1839	0.772
1840	0.769
1841	0.729
1842	0.894
1843	0.876
1844	0.902
1845	1.148
1846	0.943
1847	0.99
1848	1.14
1849	0.935
1850	0.791
1851	1.014
1852	1.198
1853	0.866
1854	1.074
1855	0.973
1856	0.917
1857	0.982
1858	1.047
1859	1.063
1860	0.783
1861	0.944
1862	1.027
1863	0.839
1864	0.727
1865	0.793
1866	0.881
1867	0.802
1868	0.797
1869	0.959
1870	0.952
1871	1.064
1872	0.894
1873	0.868
1874	0.984
1875	0.916
1876	0.594
1877	0.731
1878	0.973
1879	1.087
1880	0.976
1881	0.946
1882	0.829
1883	0.835
1884	0.899
1885	0.983
1886	1.183
1887	1.101
1888	0.864
1889	1.093
1890	1.019
1891	0.806
1892	1.056
1893	0.977
1894	1.096
1895	1.008
1896	1.154
1897	1.023
1898	1.093
1899	1.048
1900	0.869
1901	0.965
1902	0.948
1903	1.079
1904	1.123
1905	0.86
1906	0.868
1907	0.741
1908	0.735
1909	0.647
1910	0.893
1911	0.853
1912	0.671
1913	0.78
1914	0.759
1915	0.797
1916	0.963
1917	0.806
1918	0.96
1919	0.79
1920	0.932
1921	1.036
1922	0.958
1923	1.069
1924	0.963
1925	1.141
1926	1.011
1927	0.949
1928	0.989
1929	0.855
1930	0.754
1931	1.05
1932	1.128
1933	0.985
1934	0.953
1935	1.034
1936	0.91
1937	1.03
1938	0.906
1939	1.167
1940	1.122
1941	0.866
1942	0.916
1943	1.16
1944	1.04
1945	1.09
1946	1.007
1947	0.905
1948	1.076
1949	0.937
1950	0.861
1951	0.74
1952	0.991
1953	0.909
1954	0.996
1955	1.077
1956	0.688
1957	0.933
1958	1.37
1959	1.217
1960	1.084
1961	1.144
1962	1.136
1963	1.051
1964	1.006
1965	1.385
1966	1.08
1967	0.886
1968	1.175
1969	1.215
1970	1.158
1971	1.255
1972	1.066
1973	1.22
1974	1.118
1975	1.35
1976	0.778
1977	1.33
1978	1.243
1979	1.125
1980	1.481
1981	1.208
1982	0.93
1983	1.02
1984	1.213
1985	0.711
1986	0.789