# northamerica_usa_co623 - Sapinero 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5334
#
# 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_co623 - Sapinero 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: Sapinero Mesa
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.32
#	Southernmost_Latitude: 38.32
#	Easternmost_Longitude: -107.2
#	Westernmost_Longitude: -107.2
#	Elevation: 2700 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co623B
#	Earliest_Year: 1654
#	Most_Recent_Year: 2000
#	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":"1.86046312399","T2":"11.4538443784","M1":"0.0238674913797","M2":"0.619998902843"}}
#--------------------
# 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
1654	0.165
1655	1.078
1656	1.117
1657	1.119
1658	1.335
1659	1.252
1660	1.169
1661	1.449
1662	1.461
1663	1.1
1664	0.616
1665	0.974
1666	0.671
1667	0.647
1668	0.388
1669	1.069
1670	0.949
1671	0.642
1672	0.922
1673	0.744
1674	0.735
1675	0.78
1676	0.605
1677	0.852
1678	1.329
1679	1.229
1680	1.353
1681	1.077
1682	0.551
1683	1.226
1684	0.715
1685	-0.051
1686	0.755
1687	0.571
1688	0.757
1689	1.339
1690	1.047
1691	0.831
1692	1.749
1693	1.333
1694	1.387
1695	0.533
1696	0.621
1697	0.998
1698	1.43
1699	1.523
1700	0.442
1701	1.531
1702	1.436
1703	1.279
1704	0.983
1705	1.171
1706	1.324
1707	1.044
1708	1.094
1709	0.884
1710	1.297
1711	1.239
1712	1.035
1713	1.056
1714	0.276
1715	0.251
1716	0.785
1717	0.817
1718	0.992
1719	0.929
1720	1.199
1721	1.215
1722	0.831
1723	0.425
1724	1.392
1725	1.796
1726	1.113
1727	0.824
1728	0.92
1729	0.342
1730	1.182
1731	0.957
1732	1.113
1733	1.079
1734	1.375
1735	0.825
1736	1.253
1737	0.593
1738	1.424
1739	1.28
1740	0.938
1741	0.951
1742	0.93
1743	1.305
1744	1.247
1745	1.453
1746	1.29
1747	1.114
1748	0.775
1749	1.351
1750	0.833
1751	0.964
1752	0.823
1753	0.757
1754	1.075
1755	0.811
1756	0.328
1757	0.701
1758	0.821
1759	0.277
1760	0.762
1761	1.281
1762	1.109
1763	0.855
1764	1.378
1765	0.689
1766	1.401
1767	1.361
1768	1.421
1769	1.203
1770	1.323
1771	1.309
1772	1.16
1773	0.319
1774	0.922
1775	0.662
1776	0.453
1777	0.026
1778	0.597
1779	0.731
1780	0.553
1781	0.515
1782	0.464
1783	0.787
1784	0.86
1785	0.719
1786	0.903
1787	1.164
1788	0.868
1789	0.988
1790	1.426
1791	1.642
1792	1.534
1793	1.15
1794	0.795
1795	0.624
1796	0.943
1797	0.552
1798	0.18
1799	0.791
1800	1.003
1801	1.039
1802	1.035
1803	0.87
1804	1.198
1805	0.936
1806	0.52
1807	0.728
1808	0.806
1809	0.825
1810	0.529
1811	0.762
1812	0.841
1813	0.751
1814	1.029
1815	0.693
1816	1.097
1817	0.877
1818	0.7
1819	1.064
1820	1.101
1821	1.003
1822	0.741
1823	0.746
1824	0.233
1825	0.665
1826	0.908
1827	0.933
1828	1.339
1829	1.197
1830	0.957
1831	1.595
1832	1.595
1833	1.44
1834	0.661
1835	1.226
1836	1.057
1837	0.985
1838	0.951
1839	0.995
1840	1.141
1841	0.709
1842	0.329
1843	0.934
1844	0.632
1845	0.364
1846	0.235
1847	0.326
1848	0.47
1849	0.984
1850	0.917
1851	0.246
1852	1.014
1853	1.157
1854	1.106
1855	1.268
1856	0.91
1857	1.192
1858	1.18
1859	1.129
1860	1.273
1861	0.537
1862	1.37
1863	0.979
1864	1.142
1865	1.239
1866	1.632
1867	1.79
1868	1.799
1869	1.928
1870	1.71
1871	1.03
1872	1.099
1873	1.34
1874	0.858
1875	1.207
1876	1.219
1877	1.294
1878	1.085
1879	0.205
1880	0.533
1881	0.749
1882	0.493
1883	0.329
1884	1.012
1885	1.437
1886	1.098
1887	1.365
1888	1.01
1889	0.249
1890	0.818
1891	0.76
1892	1.002
1893	0.9
1894	1.326
1895	1.231
1896	0.605
1897	1.214
1898	0.294
1899	0.681
1900	0.191
1901	0.524
1902	0.333
1903	1.132
1904	0.127
1905	0.862
1906	0.944
1907	1.43
1908	0.967
1909	1.05
1910	1.029
1911	1.341
1912	1.37
1913	1.276
1914	1.471
1915	1.032
1916	1.452
1917	0.603
1918	0.892
1919	1.088
1920	0.897
1921	1.636
1922	0.633
1923	1.063
1924	0.989
1925	1.022
1926	1.066
1927	1.414
1928	1.724
1929	1.581
1930	1.73
1931	0.439
1932	1.261
1933	0.989
1934	0.422
1935	0.66
1936	0.831
1937	1.099
1938	1.193
1939	0.803
1940	1.053
1941	1.36
1942	1.233
1943	1.431
1944	1.399
1945	1.438
1946	1.215
1947	1.78
1948	1.432
1949	1.791
1950	1.011
1951	1.097
1952	0.956
1953	0.754
1954	0.228
1955	0.706
1956	0.593
1957	0.85
1958	0.866
1959	0.781
1960	1.082
1961	0.469
1962	0.948
1963	0.485
1964	0.898
1965	1.974
1966	1.151
1967	0.375
1968	0.856
1969	1.24
1970	1.009
1971	0.898
1972	0.522
1973	0.803
1974	0.816
1975	0.841
1976	0.977
1977	0.285
1978	1.087
1979	0.912
1980	0.737
1981	0.275
1982	0.904
1983	0.819
1984	0.999
1985	1.418
1986	1.359
1987	1.21
1988	0.896
1989	0.999
1990	0.891
1991	0.967
1992	0.862
1993	1.039
1994	0.71
1995	1.569
1996	1.105
1997	1.456
1998	1.217
1999	1.443
2000	1.639