# asia_russ183 - Borovoi - 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/3978
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: asia_russ183 - Borovoi - 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: Borovoi
#	Location:
#	Country: Russia
#	Northernmost_Latitude: 64.77
#	Southernmost_Latitude: 64.77
#	Easternmost_Longitude: 32.33
#	Westernmost_Longitude: 32.33
#	Elevation: nan m
#--------------------
# Data_Collection
#	Collection_Name: asia_russ183B
#	Earliest_Year: 1707
#	Most_Recent_Year: 2002
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.78116731296","T2":"18.4920254074","M1":"0.0224183169738","M2":"0.278355240497"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# 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
1707	1.28
1708	1.105
1709	0.899
1710	0.917
1711	0.927
1712	0.752
1713	0.67
1714	0.855
1715	1.116
1716	1.208
1717	1.013
1718	1.124
1719	0.897
1720	1.091
1721	0.833
1722	0.74
1723	0.889
1724	1.015
1725	1.211
1726	0.991
1727	1.164
1728	1.023
1729	1.149
1730	1.057
1731	0.801
1732	0.857
1733	0.947
1734	0.766
1735	0.721
1736	0.836
1737	0.689
1738	0.888
1739	0.873
1740	0.712
1741	0.496
1742	0.731
1743	0.769
1744	0.868
1745	0.744
1746	0.842
1747	0.679
1748	0.882
1749	0.785
1750	0.764
1751	0.721
1752	0.982
1753	1.159
1754	1.289
1755	1.248
1756	1.38
1757	1.734
1758	1.368
1759	1.184
1760	1.229
1761	1.219
1762	1.268
1763	1.189
1764	1.038
1765	1.118
1766	0.969
1767	0.905
1768	0.891
1769	0.69
1770	0.638
1771	0.729
1772	0.705
1773	0.572
1774	1.112
1775	0.949
1776	0.765
1777	0.831
1778	1.03
1779	0.96
1780	1.082
1781	0.924
1782	0.861
1783	0.978
1784	1.127
1785	0.979
1786	0.751
1787	0.857
1788	1.057
1789	1.13
1790	0.883
1791	1.12
1792	1.321
1793	1.202
1794	0.85
1795	0.741
1796	1.131
1797	1.097
1798	1.012
1799	1.199
1800	1.008
1801	1.121
1802	1.202
1803	1.015
1804	1.046
1805	0.964
1806	0.496
1807	0.844
1808	1.01
1809	0.95
1810	0.703
1811	0.866
1812	0.904
1813	0.67
1814	0.95
1815	0.788
1816	0.822
1817	0.885
1818	0.989
1819	1.017
1820	0.781
1821	0.687
1822	0.842
1823	1.038
1824	1.05
1825	0.895
1826	1.341
1827	1.144
1828	0.587
1829	1.163
1830	1.12
1831	1.236
1832	1.029
1833	1.313
1834	1.205
1835	0.872
1836	0.604
1837	0.593
1838	0.792
1839	0.867
1840	0.884
1841	0.822
1842	0.96
1843	0.871
1844	0.574
1845	0.783
1846	0.745
1847	0.758
1848	0.95
1849	1.21
1850	1.261
1851	1.303
1852	1.29
1853	1.109
1854	1.209
1855	1.258
1856	0.965
1857	0.838
1858	0.906
1859	0.819
1860	0.953
1861	1.084
1862	0.833
1863	0.956
1864	1.151
1865	1.099
1866	1.019
1867	0.845
1868	0.914
1869	0.928
1870	1.004
1871	0.832
1872	0.734
1873	0.851
1874	0.709
1875	0.894
1876	0.804
1877	1.028
1878	0.859
1879	0.751
1880	0.702
1881	0.773
1882	1.047
1883	0.949
1884	1.106
1885	1.287
1886	1.241
1887	1.14
1888	1.093
1889	1.233
1890	1.432
1891	1.317
1892	1.06
1893	1.368
1894	1.279
1895	1.019
1896	1.221
1897	1.258
1898	1.585
1899	1.35
1900	1.333
1901	1.608
1902	1.182
1903	1.012
1904	1.108
1905	1.221
1906	1.306
1907	1.247
1908	1.206
1909	1.268
1910	0.952
1911	1.062
1912	1.386
1913	1.002
1914	1.437
1915	1.496
1916	1.289
1917	1.193
1918	0.999
1919	0.907
1920	0.883
1921	1.123
1922	1.258
1923	1.398
1924	1.432
1925	1.125
1926	0.793
1927	1.213
1928	1.063
1929	1.058
1930	1.113
1931	1.016
1932	1.017
1933	0.925
1934	1.022
1935	0.84
1936	0.926
1937	0.966
1938	0.85
1939	1.314
1940	1.045
1941	1.014
1942	0.804
1943	0.93
1944	1.029
1945	1.003
1946	1.014
1947	1.139
1948	1.122
1949	1.003
1950	1.16
1951	1.134
1952	0.947
1953	0.916
1954	1.263
1955	1.23
1956	0.96
1957	0.963
1958	0.803
1959	0.925
1960	0.897
1961	0.743
1962	0.824
1963	0.728
1964	0.869
1965	0.605
1966	0.745
1967	0.828
1968	0.853
1969	0.76
1970	0.77
1971	0.647
1972	0.719
1973	0.832
1974	0.859
1975	0.798
1976	0.747
1977	0.722
1978	0.727
1979	0.712
1980	0.634
1981	0.706
1982	0.458
1983	0.919
1984	0.781
1985	0.741
1986	0.826
1987	0.849
1988	1.007
1989	0.951
1990	0.656
1991	0.775
1992	0.635
1993	0.426
1994	0.582
1995	0.698
1996	0.78
1997	0.7
1998	0.792
1999	0.777
2000	1.055
2001	1.005
2002	0.834