# northamerica_usa_nm557 - Rio Pueblo - 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/5090
#
# 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_nm557 - Rio Pueblo - 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: Rio Pueblo
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.15
#	Southernmost_Latitude: 36.15
#	Easternmost_Longitude: -105.6
#	Westernmost_Longitude: -105.6
#	Elevation: 2469 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm557B
#	Earliest_Year: 1631
#	Most_Recent_Year: 1986
#	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":"4.07461065995","T2":"16.1060707666","M1":"0.0228624257577","M2":"0.512283463451"}}
#--------------------
# 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
1631	0.699
1632	1.057
1633	1.209
1634	1.669
1635	1.147
1636	1.572
1637	1.666
1638	0.71
1639	1.314
1640	1.449
1641	0.703
1642	1.333
1643	1.414
1644	1.483
1645	0.92
1646	1.103
1647	0.989
1648	0.388
1649	0.898
1650	0.611
1651	1.216
1652	1.452
1653	0.798
1654	0.605
1655	1.478
1656	1.57
1657	0.877
1658	0.816
1659	0.901
1660	1.092
1661	1.193
1662	1.368
1663	1.008
1664	0.598
1665	0.906
1666	0.666
1667	0.427
1668	0.514
1669	0.747
1670	0.566
1671	0.488
1672	0.627
1673	0.697
1674	0.801
1675	0.6
1676	0.5
1677	1.003
1678	1.066
1679	0.9
1680	0.986
1681	0.917
1682	0.819
1683	1.016
1684	0.549
1685	0.164
1686	0.632
1687	0.861
1688	1.075
1689	1.373
1690	1.054
1691	0.851
1692	1.282
1693	1.161
1694	0.686
1695	0.54
1696	0.197
1697	0.856
1698	0.605
1699	0.942
1700	0.554
1701	1.036
1702	0.803
1703	1.095
1704	0.899
1705	0.692
1706	0.985
1707	0.457
1708	0.802
1709	0.702
1710	1.225
1711	1.111
1712	1.337
1713	1.418
1714	0.936
1715	0.852
1716	0.627
1717	0.996
1718	1.122
1719	0.553
1720	1.424
1721	1.382
1722	1.417
1723	1.402
1724	1.441
1725	1.424
1726	1.81
1727	1.449
1728	1.053
1729	0.293
1730	0.773
1731	0.984
1732	1.058
1733	0.459
1734	1.268
1735	0.543
1736	0.878
1737	0.529
1738	0.897
1739	0.414
1740	0.698
1741	0.623
1742	0.723
1743	1.173
1744	1.074
1745	1.057
1746	1.565
1747	1.598
1748	0.183
1749	1.559
1750	0.859
1751	1.208
1752	0.337
1753	0.859
1754	1.323
1755	1.346
1756	0.71
1757	0.702
1758	1.079
1759	1.042
1760	0.963
1761	1.543
1762	1.533
1763	0.801
1764	1.699
1765	1.229
1766	1.453
1767	1.217
1768	1.06
1769	1.069
1770	1.092
1771	1.482
1772	0.942
1773	0.888
1774	1.147
1775	0.879
1776	1.062
1777	0.783
1778	0.787
1779	0.83
1780	0.297
1781	0.435
1782	0.541
1783	0.956
1784	1.215
1785	0.836
1786	1.053
1787	1.224
1788	0.941
1789	0.569
1790	0.932
1791	1.218
1792	1.036
1793	1.407
1794	1.145
1795	1.336
1796	1.402
1797	1.042
1798	1.088
1799	1.252
1800	1.352
1801	0.484
1802	1.137
1803	1.408
1804	1.025
1805	0.974
1806	0.65
1807	0.802
1808	0.697
1809	0.836
1810	1.063
1811	1.02
1812	1.107
1813	1.236
1814	0.735
1815	1.317
1816	1.446
1817	1.054
1818	0.655
1819	0.775
1820	0.81
1821	0.777
1822	0.468
1823	0.796
1824	0.498
1825	0.877
1826	0.796
1827	1.181
1828	1.315
1829	1.077
1830	0.79
1831	0.962
1832	1.3
1833	1.129
1834	1.252
1835	1.48
1836	0.727
1837	0.968
1838	1.353
1839	1.502
1840	1.35
1841	1.071
1842	0.217
1843	0.873
1844	1.113
1845	0.565
1846	0.839
1847	0.465
1848	0.733
1849	0.973
1850	0.921
1851	0.247
1852	1.14
1853	0.891
1854	1.099
1855	1.105
1856	1.209
1857	0.86
1858	1.7
1859	0.729
1860	1.302
1861	0.496
1862	1.122
1863	0.77
1864	0.758
1865	0.622
1866	0.917
1867	0.933
1868	1.42
1869	1.417
1870	0.991
1871	0.834
1872	1.219
1873	0.424
1874	0.756
1875	0.871
1876	1.049
1877	1.349
1878	1.416
1879	1.144
1880	0.34
1881	1.041
1882	1.049
1883	0.791
1884	1.248
1885	1.711
1886	1.219
1887	1.972
1888	1.675
1889	1.211
1890	0.901
1891	1.211
1892	1.039
1893	0.669
1894	0.721
1895	1.096
1896	0.559
1897	1.101
1898	0.925
1899	0.41
1900	0.863
1901	1.061
1902	0.551
1903	1.198
1904	-0.022
1905	1.165
1906	1.103
1907	1.571
1908	1.438
1909	1.326
1910	1.039
1911	1.563
1912	1.32
1913	1.039
1914	1.467
1915	1.273
1916	1.151
1917	0.594
1918	1.232
1919	1.376
1920	1.029
1921	1.839
1922	0.408
1923	0.734
1924	0.743
1925	0.388
1926	1.225
1927	1.21
1928	0.781
1929	1.46
1930	1.092
1931	0.851
1932	1.393
1933	1.228
1934	0.205
1935	1.211
1936	0.879
1937	1.14
1938	1.132
1939	0.689
1940	1.041
1941	1.607
1942	1.153
1943	1.16
1944	1.034
1945	0.972
1946	0.638
1947	0.866
1948	1.069
1949	1.131
1950	0.616
1951	0.279
1952	0.927
1953	0.93
1954	1.009
1955	0.838
1956	0.288
1957	0.764
1958	0.702
1959	0.72
1960	0.958
1961	0.826
1962	0.653
1963	0.511
1964	0.383
1965	1.091
1966	0.877
1967	0.47
1968	0.772
1969	1.295
1970	0.907
1971	0.233
1972	0.97
1973	0.894
1974	0.612
1975	0.942
1976	0.917
1977	0.749
1978	0.953
1979	1.183
1980	1.061
1981	0.66
1982	0.9
1983	1.004
1984	0.921
1985	1.417
1986	1.872