# northamerica_usa_nm556 - Cat Mesa - 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/5073
#
# 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_nm556 - Cat Mesa - 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: Cat Mesa
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.78
#	Southernmost_Latitude: 35.78
#	Easternmost_Longitude: -106.62
#	Westernmost_Longitude: -106.62
#	Elevation: 2515 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm556B
#	Earliest_Year: 1620
#	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":"4.40501453362","T2":"16.3775229745","M1":"0.0235279985091","M2":"0.511606160505"}}
#--------------------
# 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	0.897
1621	1.351
1622	1.007
1623	0.948
1624	0.743
1625	0.75
1626	1.145
1627	0.847
1628	0.725
1629	0.881
1630	1.197
1631	0.571
1632	0.541
1633	1.36
1634	1.229
1635	1.277
1636	1.329
1637	1.33
1638	0.711
1639	0.683
1640	0.723
1641	0.715
1642	0.841
1643	0.973
1644	1.215
1645	0.837
1646	1.191
1647	1.126
1648	0.688
1649	0.681
1650	0.873
1651	1.254
1652	1.337
1653	0.951
1654	0.588
1655	0.715
1656	0.733
1657	0.687
1658	0.78
1659	0.584
1660	1.002
1661	1.445
1662	1.603
1663	1.37
1664	0.542
1665	1.076
1666	0.897
1667	0.57
1668	0.607
1669	0.687
1670	0.709
1671	0.588
1672	0.944
1673	1.125
1674	1.279
1675	1.206
1676	0.721
1677	0.754
1678	0.954
1679	1.01
1680	1.469
1681	1.14
1682	1.353
1683	1.497
1684	1.095
1685	0.022
1686	0.983
1687	1.013
1688	1.187
1689	1.605
1690	1.181
1691	0.902
1692	1.808
1693	1.148
1694	1.247
1695	1.438
1696	0.562
1697	1.366
1698	0.531
1699	1.748
1700	0.965
1701	1.559
1702	0.721
1703	1.222
1704	0.312
1705	0.538
1706	1.061
1707	0.834
1708	1.102
1709	1.071
1710	1.502
1711	0.868
1712	1.25
1713	1.051
1714	0.73
1715	0.577
1716	0.528
1717	0.922
1718	1.233
1719	0.592
1720	1.54
1721	1.334
1722	1.374
1723	1.339
1724	0.892
1725	0.979
1726	1.201
1727	0.848
1728	1.144
1729	0.143
1730	0.655
1731	0.785
1732	0.753
1733	0.393
1734	0.968
1735	0.313
1736	0.538
1737	0.413
1738	0.534
1739	0.198
1740	0.734
1741	0.832
1742	0.823
1743	1.396
1744	1.291
1745	1.212
1746	1.681
1747	2.088
1748	0.19
1749	1.801
1750	0.8
1751	1.282
1752	0.452
1753	1.076
1754	1.407
1755	1.305
1756	0.696
1757	0.324
1758	1.481
1759	1.41
1760	0.979
1761	1.794
1762	1.676
1763	1.111
1764	1.61
1765	1.266
1766	1.798
1767	1.693
1768	1.504
1769	1.249
1770	1.394
1771	1.52
1772	1.116
1773	0.27
1774	0.965
1775	0.809
1776	0.955
1777	0.686
1778	0.922
1779	0.704
1780	0.612
1781	0.617
1782	0.428
1783	1.151
1784	1.45
1785	0.912
1786	0.513
1787	1.388
1788	0.926
1789	0.72
1790	1.381
1791	1.078
1792	1.142
1793	1.817
1794	1.289
1795	1.355
1796	1.158
1797	1.015
1798	0.965
1799	1.405
1800	1.516
1801	0.793
1802	1.083
1803	1.345
1804	1.27
1805	0.841
1806	0.63
1807	1.108
1808	1.196
1809	1.249
1810	1.025
1811	1.098
1812	1.192
1813	0.869
1814	0.831
1815	1.348
1816	1.239
1817	0.936
1818	0.489
1819	0.844
1820	0.691
1821	0.986
1822	0.337
1823	0.664
1824	0.814
1825	1.081
1826	1.175
1827	1.145
1828	1.261
1829	1.131
1830	1.378
1831	1.126
1832	1.369
1833	1.185
1834	1.091
1835	0.816
1836	1.21
1837	1.126
1838	1.172
1839	1.709
1840	1.859
1841	1.68
1842	0.985
1843	1.219
1844	1.385
1845	1.124
1846	1.088
1847	0.308
1848	0.774
1849	0.991
1850	0.854
1851	0.42
1852	1.136
1853	0.968
1854	1.118
1855	0.972
1856	1.104
1857	0.977
1858	1.397
1859	0.787
1860	1.065
1861	0.226
1862	0.615
1863	0.737
1864	0.537
1865	0.522
1866	0.879
1867	0.89
1868	1.06
1869	1.226
1870	0.933
1871	1.004
1872	1.362
1873	1.155
1874	1.023
1875	1.207
1876	0.72
1877	1.23
1878	1.12
1879	0.801
1880	0.317
1881	0.838
1882	1.107
1883	1.018
1884	1.11
1885	1.271
1886	1.061
1887	1.528
1888	1.409
1889	1.315
1890	1.026
1891	1.398
1892	1.449
1893	0.711
1894	1.133
1895	1.476
1896	0.676
1897	1.527
1898	1.522
1899	0.593
1900	0.277
1901	0.787
1902	0.479
1903	1.196
1904	0.491
1905	1.174
1906	0.838
1907	1.567
1908	1.732
1909	1.179
1910	0.863
1911	1.606
1912	1.261
1913	1.101
1914	1.749
1915	1.294
1916	1.329
1917	1.017
1918	1.371
1919	1.397
1920	1.337
1921	1.453
1922	0.739
1923	0.681
1924	1.219
1925	0.51
1926	1.076
1927	0.736
1928	0.641
1929	0.852
1930	0.871
1931	0.783
1932	0.754
1933	0.767
1934	0.722
1935	0.973
1936	0.991
1937	0.982
1938	0.848
1939	0.903
1940	0.921
1941	1.136
1942	1.117
1943	1.036
1944	0.978
1945	0.94
1946	0.303
1947	0.713
1948	0.824
1949	1.077
1950	0.442
1951	-0.017
1952	0.808
1953	0.32
1954	0.462
1955	0.078
1956	0.255
1957	0.462
1958	0.527
1959	0.502
1960	0.54
1961	0.626
1962	0.572
1963	0.363
1964	0.409
1965	0.697
1966	0.645
1967	-0.009
1968	0.73
1969	0.649
1970	0.901
1971	0.222
1972	0.943
1973	0.625
1974	0.301
1975	0.835
1976	0.385
1977	0.274
1978	0.647
1979	0.546
1980	0.55
1981	0.539
1982	0.654
1983	0.681
1984	0.681
1985	0.948
1986	1.013