Ã¯Â»Â¿# Puruogangri Ice Core Oxygen Isotope Data
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#               World Data Center for Paleoclimatology, Boulder
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#                     NOAA Paleoclimatology Program
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# NOTE: Please cite original reference 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: 
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Ice Cores
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# Contribution_date
#	Date: 2015
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# Title 
#	Study_Name: Puruogangri Ice Core Oxygen Isotope Data
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# Investigators
#	Investigators:  Thompson, L.G.; Tandong, Y.; Davis, M.E.; Mosley-Thompson, E.; Mashiotta, T.A.; Lin, P.-N.; Mikhelenko, V.N.; Zagorodnov, V.S. 
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# Description_and_Notes
#	Description: 
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# Publication
#	Authors: L.G Thompson, Y. Tandong, M. E. Davis, E. Mosley-Thomspon, T. A. Mashiotta, P.-N. Lin, V. N. Mikhelenko, V. S. Zagorodnov
#	Published_Date_or_Year: 2006
#	Published_Title:  Holocene climate variability archived in the Puruogangri ice cap on the central Tibetan Plateau
#	Journal_Name: Annals of Glaciology
#	Volume: 43
#	Edition: 	
#	Issue: 
#	Pages: 61-69
#	DOI: 
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: Two ice cores (118.4 and 214.7 m in length) were collected in 2000 from the Puruogangri ice cap in the center of the Tibetan Plateau (TP) in a joint USÃ¢ÂÂChinese collaborative project. These cores yield paleoclimatic and environmental records extending through the Middle Holocene, and complement previous ice-core histories from the Dunde and Guliya ice caps in northeast and northwest Tibet, respectively, and Dasuopu glacier in the Himalaya. The high-resolution Puruogangri climate record since AD 1600 details regional temperature and moisture variability. The post-1920 period is characterized by above-average annual net balance, contemporaneous with the greatest 18O enrichment of the last 400 years, consistent with the isotopically inferred warming observed in other TP ice-core records. On longer timescales the aerosol history reveals large and abrupt events, one of which is dated 4.7 kyr BP and occurs close to the time of a drought that extended throughout the tropics and may have been associated with centuries-long weakening of the Asian/Indian/African monsoon system. The Puruogangri climate history, combined with the other TP ice-core records, has the potential to provide valuable information on variations in the strength of the monsoon across the TP during the Holocene.
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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
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#	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: 
#	Grant: 
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#	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: Puruogangri
#	Location: Asia>Eastern Asia>China
#	Country:  Tibet
#	Northernmost_Latitude: 33.92
#	Southernmost_Latitude: 33.92	 
#	Easternmost_Longitude: 89.08
#	Westernmost_Longitude: 89.08
#	Elevation: 6070 m
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# Data_Collection
#	Collection_Name: 06Puru01
#	Earliest_Year: 1900
#	Most_Recent_Year: 1999
#	Time_Unit: y_ad
#	Notes: {"database":"LMR"} 
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# Variables
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# 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
##d18O	delta 18 oxygen,,,permil SMOW,,Ice Cores,,,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	d18O
1999	-13.37
1998	-16.045
1997	-13.6709
1996	-14.9557
1995	-13.16
1994	-14.92
1993	-16.8933
1992	-16.332
1991	-17.386
1990	-15.154
1989	-13.609
1988	-13.6871
1987	-12.8308
1986	-13.5715
1985	-13.7518
1984	-14.545
1983	-14.0483
1982	-14.2586
1981	-14.7336
1980	-13.0529
1979	-14.8557
1978	-16.5862
1977	-16.3522
1976	-15.0285
1975	-14.9147
1974	-15.5877
1973	-14.8567
1972	-15.8956
1971	-14.3825
1970	-13.7456
1969	-13.3143
1968	-15.43
1967	-14.187
1966	-13.2206
1965	-13.8193
1964	-15.4829
1963	-15.6567
1962	-13.9533
1961	-14.4964
1960	-16.8813
1959	-17.475
1958	-14.9245
1957	-12.5753
1956	-12.5244
1955	-14.596
1954	-12.6055
1953	-13.1271
1952	-13.2953
1951	-14.164
1950	-14.2287
1949	-15.415
1948	-14.4463
1947	-15.4425
1946	-14.115
1945	-14.1983
1944	-14.8236
1943	-15.65
1942	-13.0979
1941	-15.025
1940	-17.3792
1939	-18.5575
1938	-15.0235
1937	-14.1686
1936	-13.7325
1935	-12.7033
1934	-13.3844
1933	-13.8875
1932	-14.0275
1931	-15.3154
1930	-16.9129
1929	-13.5029
1928	-13.949
1927	-13.0825
1926	-14.7529
1925	-14.5692
1924	-14.1063
1923	-12.6094
1922	-13.515
1921	-12.9236
1920	-13.9083
1919	-14.629
1918	-13.644
1917	-14.3725
1916	-14.8544
1915	-14.1671
1914	-16.4775
1913	-20.3967
1912	-19.088
1911	-15.876
1910	-13.452
1909	-15.3986
1908	-16.4118
1907	-16.899
1906	-16.71
1905	-16.575
1904	-16.73
1903	-16.556
1902	-16.6413
1901	-16.1522
1900	-17.7986