# northamerica_usa_co598 - Deer Mountain Recollection - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5294
#
# 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_co598 - Deer Mountain 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.
#------------------
# 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: Deer Mountain Recollection
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.37
#	Southernmost_Latitude: 40.37
#	Easternmost_Longitude: -105.58
#	Westernmost_Longitude: -105.58
#	Elevation: 2605 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co598B
#	Earliest_Year: 1620
#	Most_Recent_Year: 2000
#	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":"1.76383840931","T2":"12.1554940485","M1":"0.0244135056416","M2":"0.605134862153"}}
#--------------------
# 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
1620	0.316
1621	1.584
1622	0.655
1623	1.04
1624	1.188
1625	0.876
1626	0.852
1627	0.429
1628	0.824
1629	0.835
1630	0.738
1631	0.923
1632	0.918
1633	1.31
1634	1.225
1635	1.216
1636	1.309
1637	1.289
1638	1.175
1639	1.31
1640	1.487
1641	1.234
1642	1.631
1643	1.204
1644	1.555
1645	0.894
1646	1.087
1647	1.08
1648	0.69
1649	0.583
1650	0.699
1651	1.045
1652	1.242
1653	0.625
1654	0.046
1655	0.94
1656	1.176
1657	1.155
1658	1.364
1659	1.347
1660	1.411
1661	1.601
1662	1.036
1663	1.039
1664	0.759
1665	0.744
1666	0.473
1667	0.502
1668	0.485
1669	0.625
1670	0.99
1671	0.75
1672	0.869
1673	1.216
1674	1.23
1675	1.034
1676	1.186
1677	1.336
1678	1.521
1679	0.903
1680	1.547
1681	1.233
1682	0.737
1683	1.378
1684	0.795
1685	0.528
1686	0.551
1687	0.892
1688	0.844
1689	1.044
1690	0.809
1691	0.573
1692	1.197
1693	1.239
1694	1.484
1695	1.296
1696	1.189
1697	1.598
1698	0.944
1699	1.143
1700	1.066
1701	1.418
1702	1.63
1703	0.89
1704	0.946
1705	0.88
1706	1.139
1707	0.884
1708	0.865
1709	0.129
1710	0.84
1711	0.256
1712	-0.002
1713	-0.002
1714	0.259
1715	0.427
1716	0.298
1717	0.234
1718	0.602
1719	0.716
1720	1.115
1721	0.878
1722	0.887
1723	1.05
1724	0.806
1725	1.002
1726	1.395
1727	0.96
1728	0.979
1729	0.389
1730	0.543
1731	0.287
1732	0.65
1733	0.248
1734	0.639
1735	0.434
1736	0.57
1737	0.68
1738	0.739
1739	0.748
1740	0.699
1741	0.685
1742	0.609
1743	1.127
1744	0.807
1745	0.583
1746	0.887
1747	1.227
1748	0.59
1749	1.098
1750	0.568
1751	0.977
1752	0.684
1753	0.973
1754	1.116
1755	1.097
1756	0.89
1757	0.617
1758	0.829
1759	0.645
1760	0.881
1761	1.541
1762	1.18
1763	1.27
1764	1.663
1765	1.204
1766	1.61
1767	1.467
1768	1.457
1769	1.228
1770	1.311
1771	1.348
1772	1.017
1773	1.19
1774	1.154
1775	1.101
1776	1.023
1777	1.007
1778	0.894
1779	1.088
1780	0.725
1781	0.65
1782	0.828
1783	1.127
1784	1.303
1785	1.322
1786	1.135
1787	1.316
1788	1.367
1789	0.813
1790	1.486
1791	1.569
1792	1.684
1793	0.886
1794	1.263
1795	1.176
1796	1.179
1797	1.283
1798	0.922
1799	1.322
1800	1.517
1801	0.957
1802	1.365
1803	1.353
1804	0.934
1805	0.365
1806	1.065
1807	0.404
1808	0.922
1809	0.356
1810	0.809
1811	0.837
1812	0.892
1813	0.969
1814	1.165
1815	1.071
1816	1.161
1817	0.937
1818	0.45
1819	1.01
1820	0.279
1821	1.014
1822	1.176
1823	1.218
1824	0.662
1825	1.353
1826	1.234
1827	1.715
1828	1.759
1829	1.638
1830	1.328
1831	1.102
1832	0.601
1833	1.118
1834	0.884
1835	1.101
1836	1.469
1837	1.453
1838	1.796
1839	1.685
1840	1.503
1841	1.746
1842	0.406
1843	1.635
1844	1.226
1845	0.809
1846	0.907
1847	0.652
1848	0.513
1849	1.057
1850	1.092
1851	0.386
1852	0.916
1853	1.017
1854	0.951
1855	0.57
1856	0.928
1857	0.961
1858	1.361
1859	1.07
1860	0.953
1861	0.041
1862	0.559
1863	0.165
1864	0.599
1865	0.512
1866	0.816
1867	0.836
1868	1.089
1869	1.401
1870	1.266
1871	0.812
1872	1.287
1873	0.833
1874	0.62
1875	0.391
1876	1.316
1877	0.785
1878	1.14
1879	0.401
1880	0.407
1881	0.506
1882	0.644
1883	0.894
1884	0.974
1885	1.017
1886	0.62
1887	0.665
1888	0.433
1889	1.312
1890	0.921
1891	1.061
1892	0.853
1893	0.356
1894	1.234
1895	0.75
1896	0.788
1897	0.817
1898	1.229
1899	0.513
1900	1.089
1901	0.972
1902	0.468
1903	1.623
1904	1.579
1905	1.171
1906	1.377
1907	1.806
1908	1.191
1909	1.004
1910	0.695
1911	0.358
1912	1.03
1913	1.055
1914	1.243
1915	1.536
1916	1.497
1917	1.199
1918	1.247
1919	0.442
1920	1.125
1921	1.311
1922	0.706
1923	1.538
1924	1.41
1925	0.378
1926	1.245
1927	0.822
1928	1.366
1929	0.814
1930	0.611
1931	1.11
1932	0.645
1933	0.793
1934	0.802
1935	1.017
1936	0.835
1937	1.075
1938	1.362
1939	1.031
1940	0.71
1941	1.619
1942	1.488
1943	1.494
1944	1.281
1945	1.727
1946	0.556
1947	1.4
1948	0.736
1949	1.237
1950	0.765
1951	1.062
1952	1.028
1953	0.867
1954	0.195
1955	0.821
1956	0.305
1957	0.957
1958	0.889
1959	0.834
1960	0.911
1961	1.114
1962	0.953
1963	0.314
1964	0.436
1965	1.252
1966	0.42
1967	0.855
1968	0.291
1969	1.113
1970	0.849
1971	0.893
1972	0.825
1973	1.108
1974	0.615
1975	1.346
1976	0.7
1977	0.575
1978	1.018
1979	1.091
1980	0.631
1981	0.612
1982	0.957
1983	1.275
1984	1.084
1985	0.964
1986	1.391
1987	1.254
1988	0.917
1989	0.569
1990	1.152
1991	0.853
1992	0.844
1993	0.784
1994	1.042
1995	1.657
1996	1.308
1997	0.967
1998	1.552
1999	1.467
2000	1.181