# northamerica_usa_nm025 - Satan Pass - 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/3103
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nm025 - Satan Pass - 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: Satan Pass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.6
#	Southernmost_Latitude: 35.6
#	Easternmost_Longitude: -108.13
#	Westernmost_Longitude: -108.13
#	Elevation: 2286 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm025B
#	Earliest_Year: 1610
#	Most_Recent_Year: 1972
#	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":"4.08567081145","T2":"15.2996066102","M1":"0.0246467053078","M2":"0.499349787136"}}
#--------------------
# 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
1610	2.229
1611	1.313
1612	1.326
1613	1.2
1614	0.827
1615	0.968
1616	1.009
1617	1.208
1618	1.934
1619	1.203
1620	2.205
1621	2.145
1622	0.663
1623	0.551
1624	0.224
1625	0.339
1626	0.2
1627	1.169
1628	1.204
1629	1.763
1630	1.862
1631	0.858
1632	0.63
1633	1.504
1634	1.819
1635	1.143
1636	0.94
1637	0.524
1638	0.739
1639	1.273
1640	1.786
1641	1.038
1642	1.272
1643	1.477
1644	1.209
1645	0.825
1646	2.019
1647	1.518
1648	0.961
1649	1.281
1650	1.026
1651	1.761
1652	1.488
1653	1.46
1654	0.791
1655	1.057
1656	1.394
1657	0.591
1658	0.849
1659	0.271
1660	0.927
1661	0.636
1662	0.553
1663	0.64
1664	0.233
1665	1.451
1666	0.837
1667	0.472
1668	0.206
1669	0.342
1670	0.093
1671	0.857
1672	0.25
1673	0.852
1674	0.251
1675	0.882
1676	0.22
1677	0.718
1678	0.683
1679	0.384
1680	1.272
1681	1.248
1682	1.39
1683	1.586
1684	0.295
1685	-0.048
1686	1.011
1687	0.932
1688	0.721
1689	1.179
1690	1.76
1691	1.057
1692	1.606
1693	1.636
1694	1.001
1695	0.981
1696	0.374
1697	0.224
1698	0.524
1699	1.169
1700	0.875
1701	1.758
1702	1.052
1703	1.025
1704	0.721
1705	0.633
1706	1.145
1707	1.16
1708	0.905
1709	0.581
1710	1.643
1711	1.391
1712	1.516
1713	1.197
1714	0.948
1715	0.787
1716	0.113
1717	0.921
1718	0.719
1719	0.854
1720	1.764
1721	1.237
1722	0.556
1723	1.216
1724	0.266
1725	0.739
1726	1.148
1727	1.256
1728	0.047
1729	-0.051
1730	0.601
1731	0.994
1732	1.241
1733	0.393
1734	0.802
1735	0.08
1736	0.746
1737	0.547
1738	0.336
1739	0.688
1740	0.63
1741	0.642
1742	0.218
1743	1.266
1744	0.358
1745	1.49
1746	1.948
1747	2.727
1748	0.116
1749	1.983
1750	0.917
1751	0.927
1752	0.297
1753	0.605
1754	1.333
1755	0.678
1756	0.669
1757	0.723
1758	1.307
1759	1.856
1760	1.253
1761	0.378
1762	1.606
1763	0.261
1764	1.271
1765	0.482
1766	1.522
1767	0.871
1768	1.686
1769	1.647
1770	1.366
1771	1.578
1772	1.177
1773	0.202
1774	0.819
1775	0.627
1776	0.971
1777	0.215
1778	0.772
1779	0.525
1780	0.31
1781	0.851
1782	0.214
1783	1.353
1784	1.8
1785	1.251
1786	0.82
1787	1.529
1788	0.52
1789	1.187
1790	1.059
1791	1.403
1792	1.645
1793	2.038
1794	0.891
1795	1.676
1796	0.7
1797	0.841
1798	0.999
1799	0.688
1800	0.336
1801	0.603
1802	1.036
1803	0.543
1804	1.168
1805	0.885
1806	0.174
1807	1.429
1808	0.85
1809	0.814
1810	0.439
1811	0.409
1812	0.551
1813	0.497
1814	0.883
1815	0.953
1816	2.264
1817	2.103
1818	0.243
1819	0.131
1820	0.741
1821	1.325
1822	-0.052
1823	0.296
1824	0.589
1825	0.887
1826	0.385
1827	0.272
1828	1.17
1829	0.334
1830	0.974
1831	0.904
1832	1.144
1833	1.583
1834	1.963
1835	1.889
1836	1.225
1837	1.785
1838	2.203
1839	2.537
1840	2.444
1841	1.813
1842	0.82
1843	0.843
1844	1.436
1845	0.671
1846	0.982
1847	-0.052
1848	1.5
1849	1.419
1850	1.197
1851	0.546
1852	1.559
1853	0.904
1854	0.448
1855	1.959
1856	2.135
1857	0.714
1858	1.292
1859	0.972
1860	0.864
1861	0.104
1862	1.264
1863	0.6
1864	0.488
1865	0.732
1866	0.914
1867	1.466
1868	1.255
1869	2.105
1870	1.101
1871	1.245
1872	0.212
1873	1.139
1874	1.657
1875	0.506
1876	0.54
1877	1.84
1878	0.724
1879	1.005
1880	0.075
1881	0.365
1882	1.195
1883	1.261
1884	1.642
1885	1.309
1886	0.759
1887	0.853
1888	1.57
1889	1.136
1890	0.872
1891	1.408
1892	1.026
1893	0.494
1894	0.265
1895	1.142
1896	0.474
1897	0.974
1898	0.668
1899	0.252
1900	0.571
1901	0.616
1902	0.299
1903	1.083
1904	-0.052
1905	1.527
1906	1.09
1907	1.266
1908	2.241
1909	0.45
1910	1.312
1911	1.156
1912	1.455
1913	0.535
1914	1.31
1915	1.908
1916	1.613
1917	1.461
1918	0.431
1919	1.477
1920	2.049
1921	0.523
1922	0.949
1923	0.743
1924	1.683
1925	0.297
1926	1.353
1927	0.815
1928	1.312
1929	0.715
1930	0.777
1931	1.165
1932	1.532
1933	0.741
1934	0.552
1935	2.043
1936	1.17
1937	1.633
1938	1.164
1939	1.062
1940	0.426
1941	1.98
1942	1.281
1943	0.541
1944	1.086
1945	1.065
1946	0.468
1947	0.806
1948	1.462
1949	1.069
1950	0.27
1951	0.12
1952	0.972
1953	0.34
1954	0.226
1955	0.087
1956	0.257
1957	0.328
1958	0.897
1959	0.347
1960	0.978
1961	0.698
1962	0.84
1963	0.825
1964	0.71
1965	1.378
1966	1.089
1967	0.228
1968	1.629
1969	1.466
1970	1.556
1971	0.335
1972	1.08