# northamerica_usa_nm024 - Pueblito Canyon - 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
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3095
#
# 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_nm024 - Pueblito Canyon - 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: Pueblito Canyon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.68
#	Southernmost_Latitude: 36.68
#	Easternmost_Longitude: -107.32
#	Westernmost_Longitude: -107.32
#	Elevation: 2103 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm024B
#	Earliest_Year: 1670
#	Most_Recent_Year: 1971
#	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":"3.3834576246","T2":"15.4563198823","M1":"0.023454913564","M2":"0.512839368932"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1670	0.834
1671	1.16
1672	1.212
1673	1.24
1674	1.425
1675	0.72
1676	0.865
1677	0.932
1678	1.091
1679	0.995
1680	1.536
1681	0.95
1682	1.06
1683	1.155
1684	0.63
1685	0.176
1686	1.126
1687	1.318
1688	1.411
1689	1.71
1690	1.163
1691	1.237
1692	1.671
1693	1.17
1694	0.888
1695	1.003
1696	0.787
1697	1.081
1698	0.899
1699	1.285
1700	1.121
1701	1.532
1702	1.005
1703	0.679
1704	0.762
1705	1.023
1706	1.191
1707	0.567
1708	0.675
1709	0.91
1710	1.158
1711	0.909
1712	1.075
1713	0.995
1714	0.703
1715	0.962
1716	0.709
1717	0.871
1718	1.145
1719	0.75
1720	1.722
1721	0.989
1722	0.765
1723	1.087
1724	1.065
1725	1.403
1726	1.52
1727	1.264
1728	0.999
1729	0.476
1730	0.907
1731	0.99
1732	1.412
1733	0.866
1734	1.174
1735	0.382
1736	0.925
1737	0.743
1738	1.142
1739	0.835
1740	0.936
1741	0.924
1742	1.097
1743	1.612
1744	0.897
1745	1.577
1746	1.582
1747	1.181
1748	0.231
1749	1.401
1750	0.874
1751	0.713
1752	0.689
1753	0.901
1754	1.573
1755	0.841
1756	0.527
1757	0.685
1758	0.926
1759	1.024
1760	1.128
1761	1.178
1762	1.29
1763	0.903
1764	1.428
1765	0.922
1766	1.193
1767	0.921
1768	0.929
1769	0.775
1770	1.152
1771	1.39
1772	1.157
1773	0.545
1774	1.034
1775	0.834
1776	0.843
1777	0.636
1778	0.761
1779	0.749
1780	0.44
1781	0.772
1782	0.624
1783	0.899
1784	1.477
1785	1.089
1786	1.077
1787	1.221
1788	0.731
1789	0.853
1790	1.085
1791	1.368
1792	1.239
1793	1.781
1794	1.028
1795	0.996
1796	1.178
1797	0.851
1798	0.865
1799	1.246
1800	1.052
1801	0.862
1802	1.237
1803	0.839
1804	1.016
1805	0.544
1806	0.311
1807	1.175
1808	0.91
1809	0.827
1810	0.981
1811	1.102
1812	0.864
1813	0.784
1814	1.044
1815	1.319
1816	1.984
1817	1.473
1818	0.633
1819	0.442
1820	0.795
1821	1.17
1822	0.481
1823	0.383
1824	0.474
1825	0.979
1826	0.957
1827	0.663
1828	1.658
1829	0.982
1830	1.33
1831	1.328
1832	1.522
1833	1.519
1834	1.08
1835	1.4
1836	1.243
1837	1.356
1838	1.608
1839	1.654
1840	1.593
1841	1.305
1842	0.953
1843	0.763
1844	1.197
1845	0.888
1846	0.88
1847	0.463
1848	1.069
1849	1.662
1850	1.454
1851	0.363
1852	1.57
1853	1.252
1854	1.318
1855	1.272
1856	1.277
1857	0.971
1858	1.141
1859	0.882
1860	1.312
1861	0.34
1862	1.016
1863	0.925
1864	0.386
1865	0.96
1866	1.399
1867	1.44
1868	1.476
1869	1.302
1870	0.46
1871	0.486
1872	0.694
1873	0.321
1874	0.699
1875	0.74
1876	0.006
1877	0.666
1878	0.844
1879	0.676
1880	0.645
1881	0.567
1882	0.527
1883	0.246
1884	0.451
1885	0.738
1886	0.836
1887	0.465
1888	1.183
1889	0.818
1890	0.589
1891	1.136
1892	0.739
1893	0.471
1894	0.554
1895	1.036
1896	0.217
1897	1.16
1898	0.911
1899	0.109
1900	0.539
1901	0.697
1902	0.201
1903	1.176
1904	0.126
1905	1.753
1906	1.74
1907	1.927
1908	1.414
1909	1.315
1910	0.822
1911	1.926
1912	1.204
1913	0.841
1914	1.788
1915	1.529
1916	1.78
1917	1.351
1918	0.995
1919	1.764
1920	1.938
1921	1.474
1922	1.017
1923	1.039
1924	1.219
1925	1.035
1926	1.408
1927	1.597
1928	1.133
1929	0.878
1930	1.001
1931	0.55
1932	1.195
1933	0.869
1934	0.763
1935	1.063
1936	1.025
1937	1.422
1938	1.015
1939	0.663
1940	0.997
1941	1.539
1942	1.27
1943	0.76
1944	0.713
1945	1.071
1946	0.403
1947	0.674
1948	0.754
1949	1.122
1950	0.298
1951	-0.009
1952	1.145
1953	0.551
1954	0.8
1955	0.717
1956	0.295
1957	0.897
1958	0.952
1959	0.507
1960	0.987
1961	0.957
1962	1.178
1963	1.024
1964	0.674
1965	1.778
1966	1.192
1967	0.627
1968	0.951
1969	0.983
1970	1.139
1971	0.987