# northamerica_usa_ca623 - Mt. Diablo State Park - 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/4904
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca623 - Mt. Diablo State Park - 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: Mt. Diablo State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.87
#	Southernmost_Latitude: 37.87
#	Easternmost_Longitude: -121.95
#	Westernmost_Longitude: -121.95
#	Elevation: 245 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca623B
#	Earliest_Year: 1649
#	Most_Recent_Year: 2004
#	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":"3.64526363313","T2":"14.8324527165","M1":"0.0226947422106","M2":"0.519999775541"}}
#--------------------
# Species
#	Species_Name: blue oak
#	Species_Code: QUDG
#--------------------
# 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
1649	1.271
1650	1.127
1651	1.015
1652	0.738
1653	0.803
1654	0.585
1655	0.515
1656	1.362
1657	0.878
1658	0.706
1659	0.621
1660	1.407
1661	1.479
1662	1.736
1663	0.981
1664	1.247
1665	1.53
1666	1.089
1667	0.471
1668	1.124
1669	0.54
1670	0.458
1671	1.132
1672	1.929
1673	0.897
1674	1.088
1675	1.078
1676	0.671
1677	1.395
1678	1.111
1679	1.082
1680	1.197
1681	1.368
1682	1.069
1683	1.121
1684	1.222
1685	1.245
1686	0.756
1687	0.922
1688	0.847
1689	0.86
1690	0.518
1691	0.365
1692	0.921
1693	1.223
1694	0.923
1695	0.736
1696	1.448
1697	1.262
1698	0.502
1699	0.748
1700	0.957
1701	0.89
1702	0.967
1703	0.702
1704	1.241
1705	0.986
1706	0.603
1707	0.879
1708	0.736
1709	1.424
1710	0.626
1711	0.936
1712	1.065
1713	1.003
1714	0.746
1715	0.769
1716	0.95
1717	0.96
1718	0.995
1719	0.572
1720	0.903
1721	0.403
1722	0.707
1723	1.37
1724	0.957
1725	1.304
1726	0.659
1727	1.189
1728	0.951
1729	0.605
1730	1.957
1731	1.538
1732	1.449
1733	0.564
1734	1.284
1735	0.851
1736	0.805
1737	0.506
1738	1.227
1739	1.401
1740	1.486
1741	1.059
1742	1.2
1743	1.143
1744	1.122
1745	1.16
1746	0.972
1747	1.005
1748	0.627
1749	0.887
1750	0.807
1751	0.655
1752	0.927
1753	1.084
1754	1.015
1755	0.776
1756	0.521
1757	0.565
1758	0.889
1759	1.057
1760	0.61
1761	0.815
1762	0.833
1763	1.052
1764	0.934
1765	0.311
1766	0.96
1767	0.997
1768	1.212
1769	1.336
1770	0.709
1771	0.942
1772	0.839
1773	0.799
1774	0.994
1775	0.763
1776	0.335
1777	0.259
1778	0.434
1779	0.866
1780	0.686
1781	0.788
1782	0.271
1783	0.205
1784	1.532
1785	1.7
1786	1.21
1787	1.879
1788	0.787
1789	1.526
1790	1.295
1791	0.75
1792	1.206
1793	0.833
1794	0.435
1795	0.155
1796	0.207
1797	0.897
1798	0.921
1799	1.024
1800	0.579
1801	1.072
1802	0.657
1803	0.31
1804	0.8
1805	0.581
1806	1.008
1807	0.756
1808	0.523
1809	0.425
1810	1.034
1811	1.342
1812	0.775
1813	1.59
1814	0.814
1815	0.906
1816	0.906
1817	1.17
1818	0.869
1819	1.48
1820	1.205
1821	1.156
1822	0.813
1823	1.135
1824	0.822
1825	1.802
1826	1.657
1827	0.862
1828	1.627
1829	0.52
1830	1.235
1831	0.653
1832	1.42
1833	1.553
1834	1.075
1835	1.254
1836	1.512
1837	0.959
1838	1.456
1839	0.821
1840	0.792
1841	0.313
1842	1.288
1843	0.444
1844	0.307
1845	0.593
1846	0.587
1847	1.149
1848	1.076
1849	0.987
1850	1.415
1851	1.046
1852	1.086
1853	1.561
1854	1.467
1855	1.025
1856	0.679
1857	0.943
1858	0.582
1859	0.819
1860	0.743
1861	1.005
1862	1.626
1863	1.045
1864	0.342
1865	1.282
1866	1.332
1867	1.439
1868	2.172
1869	1.618
1870	0.88
1871	0.698
1872	1.579
1873	1.231
1874	1.357
1875	1.059
1876	1.351
1877	0.588
1878	1.609
1879	1.354
1880	1.314
1881	1.438
1882	0.845
1883	0.624
1884	1.448
1885	0.981
1886	1.342
1887	0.808
1888	0.959
1889	0.882
1890	1.395
1891	1.262
1892	0.805
1893	1.324
1894	1.185
1895	1.427
1896	1.422
1897	0.99
1898	0.479
1899	0.762
1900	0.642
1901	1.15
1902	0.957
1903	0.902
1904	1.157
1905	0.995
1906	1.368
1907	1.392
1908	0.798
1909	1.101
1910	0.845
1911	1.217
1912	0.482
1913	0.319
1914	1.293
1915	1.448
1916	1.233
1917	0.965
1918	0.415
1919	0.849
1920	0.388
1921	0.711
1922	0.996
1923	0.868
1924	0.312
1925	0.906
1926	0.907
1927	1.065
1928	0.914
1929	0.502
1930	0.687
1931	0.319
1932	1.061
1933	0.626
1934	0.527
1935	0.898
1936	1.528
1937	1.272
1938	1.525
1939	0.624
1940	1.538
1941	2.015
1942	1.656
1943	1.149
1944	0.809
1945	0.993
1946	0.631
1947	0.524
1948	0.384
1949	0.538
1950	0.642
1951	1.213
1952	1.737
1953	1.121
1954	0.771
1955	0.649
1956	1.239
1957	0.885
1958	1.394
1959	0.624
1960	0.743
1961	0.502
1962	0.965
1963	1.523
1964	0.726
1965	1.137
1966	0.703
1967	1.066
1968	0.602
1969	1.264
1970	1.024
1971	0.95
1972	0.387
1973	1.052
1974	1.178
1975	0.841
1976	0.259
1977	0.221
1978	1.249
1979	0.94
1980	1.393
1981	0.784
1982	1.333
1983	1.486
1984	1.133
1985	0.742
1986	1.088
1987	0.57
1988	0.596
1989	0.536
1990	0.519
1991	0.741
1992	0.748
1993	1.537
1994	0.811
1995	1.395
1996	1.299
1997	0.997
1998	1.721
1999	1.078
2000	1.2
2001	0.616
2002	0.784
2003	1.354
2004	0.887