# northamerica_usa_az544 - Santa Rita - 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/3406
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_az544 - Santa Rita - 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: Santa Rita
#	Location:
#	Country: United States
#	Northernmost_Latitude: 31.72
#	Southernmost_Latitude: 31.72
#	Easternmost_Longitude: -110.83
#	Westernmost_Longitude: -110.83
#	Elevation: 2407 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_az544B
#	Earliest_Year: 1653
#	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":"3.50715672282","T2":"15.5381630395","M1":"0.0230316340295","M2":"0.482234998009"}}
#--------------------
# 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
1653	0.568
1654	0.412
1655	0.799
1656	0.868
1657	1.044
1658	1.206
1659	1.039
1660	1.023
1661	1.27
1662	1.038
1663	1.114
1664	0.885
1665	1.117
1666	1.0
1667	0.831
1668	0.458
1669	0.409
1670	0.172
1671	0.703
1672	0.62
1673	0.813
1674	0.975
1675	1.043
1676	0.793
1677	1.002
1678	0.988
1679	0.709
1680	0.809
1681	0.659
1682	0.785
1683	0.863
1684	0.816
1685	0.361
1686	0.927
1687	0.917
1688	1.187
1689	1.251
1690	1.294
1691	1.253
1692	1.574
1693	1.569
1694	1.405
1695	1.252
1696	0.868
1697	0.776
1698	0.665
1699	1.169
1700	1.082
1701	1.642
1702	1.342
1703	1.391
1704	0.896
1705	0.718
1706	0.72
1707	0.592
1708	0.672
1709	0.7
1710	1.089
1711	0.924
1712	0.89
1713	0.794
1714	0.805
1715	0.906
1716	0.729
1717	0.994
1718	1.229
1719	0.584
1720	0.757
1721	0.44
1722	0.566
1723	0.586
1724	0.853
1725	0.711
1726	1.418
1727	1.158
1728	1.013
1729	1.326
1730	1.295
1731	1.279
1732	1.138
1733	0.463
1734	0.914
1735	0.697
1736	1.176
1737	1.077
1738	0.972
1739	0.495
1740	0.677
1741	0.905
1742	0.904
1743	1.798
1744	1.549
1745	1.565
1746	2.045
1747	1.702
1748	0.397
1749	1.391
1750	1.191
1751	1.034
1752	0.354
1753	0.416
1754	0.914
1755	0.677
1756	0.962
1757	1.095
1758	1.587
1759	1.255
1760	0.885
1761	0.689
1762	1.031
1763	0.522
1764	1.12
1765	1.313
1766	1.454
1767	1.224
1768	1.086
1769	1.178
1770	1.035
1771	1.168
1772	1.144
1773	0.727
1774	0.821
1775	1.026
1776	0.556
1777	0.515
1778	0.636
1779	0.664
1780	0.579
1781	0.602
1782	1.14
1783	1.261
1784	1.329
1785	0.921
1786	0.714
1787	1.174
1788	0.771
1789	0.687
1790	0.582
1791	0.789
1792	0.895
1793	1.017
1794	0.718
1795	1.988
1796	1.264
1797	0.783
1798	0.446
1799	1.252
1800	1.309
1801	1.142
1802	1.456
1803	1.226
1804	1.077
1805	1.078
1806	0.727
1807	1.005
1808	0.645
1809	1.203
1810	1.715
1811	0.988
1812	1.051
1813	0.82
1814	1.022
1815	1.467
1816	1.537
1817	0.934
1818	1.154
1819	0.382
1820	0.402
1821	0.602
1822	0.426
1823	0.589
1824	0.74
1825	0.705
1826	0.815
1827	1.084
1828	1.028
1829	1.081
1830	1.353
1831	1.002
1832	1.574
1833	1.566
1834	1.083
1835	1.638
1836	1.377
1837	1.015
1838	1.041
1839	1.146
1840	0.895
1841	0.501
1842	0.35
1843	0.573
1844	0.987
1845	1.014
1846	1.174
1847	0.653
1848	0.948
1849	1.044
1850	1.144
1851	0.791
1852	0.869
1853	1.061
1854	0.879
1855	1.021
1856	1.316
1857	1.021
1858	1.239
1859	1.28
1860	1.059
1861	1.056
1862	1.372
1863	0.347
1864	0.504
1865	0.698
1866	0.881
1867	1.092
1868	1.165
1869	1.308
1870	1.191
1871	1.048
1872	1.207
1873	0.921
1874	1.176
1875	1.738
1876	1.383
1877	1.31
1878	0.949
1879	0.882
1880	1.165
1881	1.152
1882	1.428
1883	1.304
1884	1.222
1885	1.019
1886	0.826
1887	1.103
1888	1.185
1889	0.824
1890	0.857
1891	1.031
1892	0.829
1893	0.786
1894	0.71
1895	0.625
1896	1.168
1897	1.243
1898	1.647
1899	1.416
1900	0.771
1901	0.923
1902	0.554
1903	1.131
1904	0.549
1905	1.333
1906	1.305
1907	1.539
1908	1.863
1909	1.539
1910	0.883
1911	1.2
1912	1.999
1913	1.566
1914	1.364
1915	1.634
1916	1.547
1917	1.393
1918	0.851
1919	1.446
1920	1.623
1921	0.9
1922	1.645
1923	0.952
1924	1.226
1925	0.71
1926	1.256
1927	1.377
1928	0.865
1929	0.615
1930	1.647
1931	1.185
1932	1.435
1933	0.757
1934	0.244
1935	0.903
1936	1.061
1937	0.941
1938	1.272
1939	0.567
1940	1.272
1941	1.369
1942	0.847
1943	0.449
1944	0.861
1945	0.676
1946	0.633
1947	0.334
1948	0.433
1949	0.777
1950	0.945
1951	0.808
1952	0.905
1953	0.576
1954	0.418
1955	0.516
1956	0.397
1957	0.763
1958	0.971
1959	0.902
1960	0.893
1961	0.411
1962	0.822
1963	0.478
1964	0.74
1965	1.033
1966	0.823
1967	0.867
1968	0.955
1969	0.46
1970	0.649
1971	0.285
1972	0.532
1973	0.874
1974	0.294
1975	0.865
1976	0.877
1977	0.521
1978	0.826
1979	0.907
1980	0.562
1981	0.588
1982	0.385
1983	0.892
1984	0.929
1985	0.902
1986	0.738