# northamerica_usa_co559 - Terrace Lake Pines - 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/4281
#
# 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_co559 - Terrace Lake Pines - 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: Terrace Lake Pines
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.38
#	Southernmost_Latitude: 37.38
#	Easternmost_Longitude: -106.28
#	Westernmost_Longitude: -106.28
#	Elevation: 2658 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co559B
#	Earliest_Year: 1679
#	Most_Recent_Year: 1997
#	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":"5.82798209029","T2":"16.3906869684","M1":"0.0235201692947","M2":"0.497918991006"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1679	0.632
1680	1.885
1681	0.594
1682	0.8
1683	1.169
1684	0.325
1685	0.135
1686	1.21
1687	0.293
1688	0.396
1689	1.348
1690	0.727
1691	0.702
1692	0.83
1693	1.119
1694	0.209
1695	0.706
1696	0.549
1697	1.03
1698	1.173
1699	1.641
1700	0.878
1701	1.824
1702	1.572
1703	1.268
1704	0.965
1705	0.806
1706	0.884
1707	0.601
1708	1.034
1709	0.261
1710	1.333
1711	1.423
1712	1.226
1713	1.567
1714	0.715
1715	1.141
1716	0.501
1717	0.747
1718	1.674
1719	1.011
1720	1.768
1721	1.528
1722	0.893
1723	0.844
1724	0.969
1725	1.611
1726	1.428
1727	1.35
1728	0.746
1729	0.784
1730	1.279
1731	0.983
1732	1.124
1733	0.806
1734	1.471
1735	0.687
1736	1.187
1737	0.665
1738	0.647
1739	1.526
1740	1.285
1741	1.357
1742	0.777
1743	1.368
1744	1.202
1745	1.272
1746	1.665
1747	1.403
1748	0.1
1749	0.945
1750	0.472
1751	0.676
1752	0.204
1753	0.324
1754	1.406
1755	0.523
1756	0.733
1757	1.142
1758	1.239
1759	1.008
1760	1.191
1761	1.525
1762	1.83
1763	0.816
1764	1.439
1765	1.172
1766	1.591
1767	1.394
1768	1.487
1769	0.655
1770	1.596
1771	1.908
1772	1.08
1773	0.487
1774	1.068
1775	0.517
1776	0.812
1777	0.086
1778	0.515
1779	0.519
1780	-0.008
1781	0.133
1782	0.612
1783	0.777
1784	1.233
1785	0.619
1786	0.783
1787	0.855
1788	0.32
1789	0.283
1790	1.048
1791	0.841
1792	0.572
1793	1.421
1794	0.83
1795	0.487
1796	0.539
1797	0.716
1798	0.849
1799	1.473
1800	1.208
1801	0.911
1802	0.358
1803	1.195
1804	1.246
1805	0.762
1806	0.512
1807	0.788
1808	0.95
1809	0.173
1810	0.668
1811	1.026
1812	0.508
1813	1.043
1814	1.441
1815	0.869
1816	1.53
1817	0.577
1818	-0.008
1819	0.541
1820	0.607
1821	1.235
1822	0.232
1823	0.583
1824	0.393
1825	0.801
1826	0.774
1827	0.757
1828	1.41
1829	0.955
1830	0.944
1831	1.692
1832	1.456
1833	1.288
1834	0.745
1835	1.75
1836	1.019
1837	1.424
1838	2.012
1839	2.152
1840	2.079
1841	2.461
1842	0.619
1843	0.827
1844	1.787
1845	0.954
1846	0.746
1847	0.065
1848	1.058
1849	1.245
1850	1.294
1851	-0.008
1852	0.75
1853	1.159
1854	1.359
1855	1.033
1856	0.716
1857	1.099
1858	1.417
1859	0.886
1860	1.26
1861	-0.008
1862	1.083
1863	0.89
1864	0.346
1865	0.767
1866	0.744
1867	1.367
1868	1.346
1869	1.379
1870	0.715
1871	0.398
1872	1.032
1873	0.46
1874	0.788
1875	0.38
1876	0.79
1877	0.986
1878	0.57
1879	0.743
1880	0.517
1881	0.194
1882	0.538
1883	0.502
1884	0.824
1885	0.91
1886	0.813
1887	1.122
1888	1.05
1889	0.859
1890	1.208
1891	1.091
1892	1.062
1893	0.853
1894	1.275
1895	1.256
1896	0.15
1897	1.329
1898	1.364
1899	0.094
1900	0.589
1901	0.38
1902	0.052
1903	1.223
1904	0.423
1905	1.011
1906	1.043
1907	2.158
1908	1.726
1909	1.264
1910	1.441
1911	2.221
1912	2.116
1913	0.871
1914	1.741
1915	1.436
1916	1.626
1917	1.551
1918	1.377
1919	1.865
1920	1.276
1921	1.36
1922	0.744
1923	0.796
1924	1.337
1925	1.153
1926	1.517
1927	0.881
1928	1.34
1929	0.956
1930	0.635
1931	1.328
1932	1.334
1933	1.072
1934	0.775
1935	1.701
1936	0.867
1937	1.121
1938	1.199
1939	0.818
1940	0.864
1941	1.4
1942	1.254
1943	0.908
1944	1.086
1945	0.849
1946	0.409
1947	0.888
1948	1.196
1949	1.217
1950	0.315
1951	0.084
1952	0.662
1953	0.621
1954	0.066
1955	0.293
1956	0.359
1957	0.891
1958	0.72
1959	0.31
1960	1.013
1961	0.688
1962	1.041
1963	0.266
1964	0.729
1965	1.179
1966	0.828
1967	0.719
1968	1.093
1969	1.271
1970	1.287
1971	0.682
1972	0.083
1973	1.016
1974	0.448
1975	1.151
1976	0.401
1977	0.129
1978	1.061
1979	0.489
1980	0.466
1981	0.284
1982	0.707
1983	1.011
1984	1.322
1985	1.668
1986	2.214
1987	1.264
1988	1.724
1989	1.063
1990	1.475
1991	1.624
1992	1.786
1993	1.347
1994	1.845
1995	1.951
1996	0.911
1997	1.549