# northamerica_usa_co562 - Blanca Peak - 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/3123
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co562 - Blanca Peak - 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: Blanca Peak
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.55
#	Southernmost_Latitude: 37.55
#	Easternmost_Longitude: -105.42
#	Westernmost_Longitude: -105.42
#	Elevation: 3720 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co562B
#	Earliest_Year: 1631
#	Most_Recent_Year: 1994
#	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":"3.52239820102","T2":"14.065960047","M1":"0.0225980771263","M2":"0.536477981565"}}
#--------------------
# Species
#	Species_Name: Rocky Mountain bristlecone pine
#	Species_Code: PIAR
#--------------------
# 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
1631	1.076
1632	0.885
1633	0.997
1634	0.849
1635	0.905
1636	0.685
1637	0.926
1638	0.972
1639	0.963
1640	0.61
1641	0.912
1642	0.806
1643	0.858
1644	0.741
1645	0.904
1646	0.944
1647	0.822
1648	0.744
1649	0.637
1650	0.656
1651	0.677
1652	0.621
1653	0.671
1654	0.739
1655	0.734
1656	0.538
1657	0.611
1658	0.857
1659	0.965
1660	0.867
1661	0.784
1662	0.922
1663	0.823
1664	0.939
1665	0.758
1666	0.813
1667	0.498
1668	0.677
1669	0.889
1670	0.652
1671	0.788
1672	0.907
1673	0.594
1674	0.876
1675	0.89
1676	0.813
1677	0.813
1678	0.678
1679	0.844
1680	0.831
1681	0.805
1682	0.898
1683	0.96
1684	0.977
1685	1.087
1686	0.605
1687	0.91
1688	0.786
1689	0.854
1690	1.018
1691	1.221
1692	1.255
1693	1.15
1694	1.348
1695	1.156
1696	0.92
1697	1.03
1698	0.872
1699	1.441
1700	1.083
1701	1.018
1702	1.028
1703	0.972
1704	0.858
1705	1.074
1706	0.977
1707	1.042
1708	1.112
1709	0.857
1710	1.035
1711	1.178
1712	1.246
1713	1.078
1714	1.056
1715	1.138
1716	0.839
1717	0.805
1718	1.011
1719	0.849
1720	0.965
1721	0.938
1722	1.022
1723	1.006
1724	0.801
1725	0.828
1726	1.108
1727	1.079
1728	0.822
1729	0.917
1730	0.964
1731	0.727
1732	1.029
1733	0.996
1734	0.839
1735	0.847
1736	0.732
1737	0.639
1738	0.645
1739	0.669
1740	0.792
1741	0.856
1742	0.814
1743	0.876
1744	1.067
1745	0.894
1746	0.859
1747	0.939
1748	1.065
1749	0.693
1750	0.726
1751	0.693
1752	0.719
1753	0.774
1754	0.792
1755	0.966
1756	0.995
1757	0.78
1758	1.013
1759	0.81
1760	0.799
1761	0.718
1762	0.845
1763	0.836
1764	0.826
1765	0.927
1766	1.293
1767	1.408
1768	1.217
1769	0.914
1770	0.821
1771	0.767
1772	0.746
1773	0.842
1774	1.041
1775	0.739
1776	0.608
1777	0.637
1778	0.82
1779	0.785
1780	1.016
1781	1.001
1782	0.952
1783	1.099
1784	1.021
1785	0.981
1786	1.071
1787	1.068
1788	1.106
1789	1.207
1790	1.136
1791	1.161
1792	1.333
1793	1.441
1794	1.177
1795	1.057
1796	0.91
1797	0.929
1798	0.909
1799	0.868
1800	1.006
1801	1.087
1802	0.841
1803	1.145
1804	1.202
1805	1.143
1806	1.051
1807	1.002
1808	1.058
1809	0.971
1810	0.665
1811	0.726
1812	0.781
1813	1.043
1814	0.999
1815	0.97
1816	1.031
1817	1.022
1818	0.95
1819	0.784
1820	0.925
1821	1.071
1822	1.101
1823	0.985
1824	0.82
1825	0.971
1826	1.085
1827	1.131
1828	1.23
1829	0.967
1830	1.038
1831	0.911
1832	0.958
1833	0.825
1834	1.004
1835	1.152
1836	0.755
1837	0.625
1838	0.769
1839	0.701
1840	0.6
1841	0.548
1842	0.63
1843	0.48
1844	0.568
1845	0.635
1846	0.593
1847	0.527
1848	0.504
1849	0.439
1850	0.562
1851	0.456
1852	0.566
1853	0.606
1854	0.778
1855	0.771
1856	0.905
1857	1.025
1858	1.017
1859	1.125
1860	0.98
1861	1.257
1862	1.174
1863	0.922
1864	1.064
1865	0.935
1866	1.1
1867	1.217
1868	0.943
1869	1.159
1870	0.874
1871	0.963
1872	0.796
1873	0.755
1874	0.509
1875	0.657
1876	0.718
1877	0.824
1878	0.621
1879	0.474
1880	0.354
1881	0.646
1882	0.755
1883	0.729
1884	0.768
1885	0.905
1886	1.118
1887	1.116
1888	0.993
1889	1.318
1890	1.004
1891	1.189
1892	1.091
1893	0.537
1894	1.042
1895	1.135
1896	1.052
1897	0.891
1898	1.32
1899	1.047
1900	1.149
1901	1.171
1902	0.977
1903	1.355
1904	1.229
1905	0.958
1906	0.778
1907	1.292
1908	1.126
1909	1.048
1910	0.854
1911	0.741
1912	1.422
1913	1.297
1914	1.14
1915	0.891
1916	0.849
1917	1.207
1918	0.987
1919	0.947
1920	0.721
1921	0.845
1922	1.137
1923	0.939
1924	0.922
1925	0.736
1926	0.926
1927	0.986
1928	1.105
1929	1.106
1930	1.042
1931	0.997
1932	0.928
1933	1.12
1934	0.744
1935	0.934
1936	1.026
1937	1.347
1938	1.359
1939	1.035
1940	1.098
1941	1.524
1942	1.652
1943	1.314
1944	1.57
1945	0.871
1946	0.682
1947	1.807
1948	1.774
1949	1.477
1950	1.181
1951	0.858
1952	0.996
1953	1.381
1954	1.485
1955	1.536
1956	1.018
1957	1.238
1958	1.346
1959	1.332
1960	1.459
1961	1.019
1962	1.282
1963	1.161
1964	1.43
1965	1.644
1966	1.438
1967	1.026
1968	1.003
1969	1.103
1970	1.338
1971	1.127
1972	0.807
1973	0.992
1974	0.957
1975	1.103
1976	1.216
1977	1.385
1978	1.407
1979	1.07
1980	0.883
1981	1.132
1982	1.44
1983	1.451
1984	0.981
1985	0.759
1986	0.921
1987	0.766
1988	0.88
1989	0.769
1990	0.871
1991	1.01
1992	1.121
1993	1.012
1994	1.377