# northamerica_usa_co541 - Kassler Recollect - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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.
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# Online_Resource:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3372
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
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# Title
#	Study_Name: northamerica_usa_co541 - Kassler Recollect - Breitenmoser Tree Ring Chronology Data
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# 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.
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#	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.
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# 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
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# Site_Information
#	Site_Name: Kassler Recollect
#	Location:
#	Country: United States
#	Northernmost_Latitude: 39.45
#	Southernmost_Latitude: 39.45
#	Easternmost_Longitude: -105.13
#	Westernmost_Longitude: -105.13
#	Elevation: 1828 m
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# Data_Collection
#	Collection_Name: northamerica_usa_co541B
#	Earliest_Year: 1763
#	Most_Recent_Year: 1987
#	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":"3.01228133961","T2":"14.7835790564","M1":"0.0236217508111","M2":"0.510911634277"}}
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# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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# Chronology:
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# 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)
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##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1763	1.278
1764	1.242
1765	0.758
1766	0.97
1767	0.643
1768	1.069
1769	1.255
1770	1.028
1771	1.059
1772	1.199
1773	1.274
1774	1.388
1775	1.041
1776	1.098
1777	1.076
1778	1.098
1779	0.944
1780	1.158
1781	1.138
1782	1.019
1783	0.989
1784	1.097
1785	1.19
1786	0.696
1787	1.003
1788	0.891
1789	0.596
1790	1.097
1791	0.984
1792	1.234
1793	1.42
1794	1.563
1795	1.251
1796	1.342
1797	1.327
1798	1.046
1799	1.075
1800	1.218
1801	0.649
1802	1.06
1803	1.195
1804	0.859
1805	0.693
1806	1.26
1807	0.755
1808	1.006
1809	0.393
1810	0.775
1811	0.703
1812	0.97
1813	0.874
1814	0.863
1815	0.821
1816	0.885
1817	0.654
1818	0.759
1819	0.643
1820	0.628
1821	0.704
1822	0.889
1823	0.812
1824	0.868
1825	1.215
1826	1.107
1827	0.957
1828	1.057
1829	0.619
1830	0.857
1831	0.959
1832	1.184
1833	1.111
1834	1.181
1835	1.432
1836	1.523
1837	1.239
1838	1.764
1839	1.585
1840	1.302
1841	1.232
1842	0.316
1843	1.405
1844	1.649
1845	0.896
1846	1.024
1847	1.126
1848	0.942
1849	0.626
1850	0.987
1851	0.376
1852	0.575
1853	0.816
1854	0.803
1855	0.409
1856	0.391
1857	0.66
1858	0.867
1859	0.591
1860	0.994
1861	0.706
1862	0.91
1863	0.424
1864	0.752
1865	0.659
1866	1.23
1867	0.942
1868	0.968
1869	1.328
1870	0.774
1871	0.947
1872	1.04
1873	0.972
1874	0.617
1875	0.478
1876	0.595
1877	0.726
1878	0.983
1879	1.145
1880	0.093
1881	0.799
1882	1.077
1883	1.235
1884	1.22
1885	0.918
1886	0.995
1887	0.946
1888	1.263
1889	1.437
1890	1.215
1891	1.397
1892	1.342
1893	1.025
1894	1.308
1895	1.403
1896	1.0
1897	1.49
1898	1.182
1899	0.549
1900	0.978
1901	0.932
1902	0.851
1903	1.304
1904	1.52
1905	0.918
1906	1.315
1907	1.555
1908	0.886
1909	1.294
1910	1.341
1911	0.977
1912	1.06
1913	1.025
1914	1.294
1915	1.557
1916	1.585
1917	1.303
1918	1.479
1919	0.992
1920	1.144
1921	1.429
1922	1.167
1923	1.59
1924	1.405
1925	0.882
1926	1.406
1927	1.065
1928	1.039
1929	0.659
1930	0.762
1931	0.826
1932	0.313
1933	0.932
1934	0.905
1935	0.767
1936	0.972
1937	0.895
1938	1.087
1939	0.675
1940	0.714
1941	0.937
1942	0.981
1943	0.97
1944	0.778
1945	0.852
1946	0.708
1947	1.237
1948	1.225
1949	1.332
1950	1.147
1951	1.044
1952	1.138
1953	0.883
1954	0.398
1955	1.089
1956	0.387
1957	0.882
1958	0.863
1959	0.661
1960	0.785
1961	0.939
1962	0.884
1963	0.012
1964	0.839
1965	1.061
1966	0.603
1967	1.24
1968	0.915
1969	1.254
1970	0.938
1971	1.027
1972	0.973
1973	0.359
1974	0.85
1975	0.956
1976	0.954
1977	0.95
1978	0.957
1979	1.094
1980	0.971
1981	1.183
1982	0.801
1983	1.169
1984	0.666
1985	1.324
1986	1.301
1987	1.626