# PARCA Ice Core d2 annual values
#-----------------------------------------------------------------------
#               World Data Center for Paleoclimatology, Boulder
#                                  and
#                     NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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
#
#
#
# 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
# --------------------
# Contribution_date
#	Date: 2014
# --------------------
# Title 
#	Study_Name:  PARCA Ice Core d2 annual values
# --------------------
# Investigators
#	Investigators: Mosley-Thompson, E.; Thompson, L.G.; Lin, P.N 
# --------------------
# Description_and_Notes
#	Description: 
#
# --------------------
# Publication
#	Authors: Ellen Mosley-Thompson, Lonnie G. Thompson, Ping-Nan Lin
#	Published_Date_or_Year: 2006
#	Published_Title:  A multicentury ice-core perspective on 20th-century climate change with new contributions from high-Arctic and Greenland (PARCA) cores
#	Journal_Name: Annals of Glaciology
#	Volume: 43
#	Edition: 	
#	Issue: 1
#	Pages: 42-48
#	DOI: 
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: A global collection of high temporally resolved ice-core-derived d18O records is examined to assess whether the proxy records are consistent with contemporaneous observed temperature variations in their respective regions. This is prerequisite to using the older parts of the proxy (d18O) records to assess whether 20th-century temperatures remain within the range of longer-term natural variability. Excluding the high plateaus in East and West Antarctica where 20th-century temperatures show modest cooling, the ice-core records from other regions suggest modest to strong 20th-century warming. The recent warming over Greenland has been modest and spatially variable. The 20th-century warming over both the Barents Sea region and the Tibetan Plateau now falls well outside the range of prior longer-term temperature variability. Similarly, over the South American Andes and the Antarctic Peninsula the recent warming exceeds the long-term mean for the last 1000 and 500 years, respectively. The ice fields in these regions are in danger of being compromised or lost if the present warming trend in these regions persists.
# --------------------
#	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: 
#	Grant: 
# --------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: PARCA D2
#	Location: North America>Greenland
#	Country:  
#	Northernmost_Latitude: 71.750
#	Southernmost_Latitude: 71.750	 
#	Easternmost_Longitude: -46.160
#	Westernmost_Longitude: -46.160
#	Elevation: 2850 m
# --------------------
# Data_Collection
#	Collection_Name: 06PARC01
#	Earliest_Year: 1900
#	Most_Recent_Year: 1998
#	Time_Unit: y_ad
#	Notes: {"database":"LMR"} 
#
# --------------------
# 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
##d18O	delta 18 oxygen,,,permil SMOW,,Ice Cores,,,N
#
# --------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
#
age	d18O
1998	-29.24
1997	-28.8
1996	-30.22
1995	-27.93
1994	-30.72
1993	-30.91
1992	-30.38
1991	-30.45
1990	-28.8
1989	-31.2
1988	-30.84
1987	-28.66
1986	-29.97
1985	-28.98
1984	-31.85
1983	-32.98
1982	-31.73
1981	-30.66
1980	-30.36
1979	-28.8
1978	-29.55
1977	-28.74
1976	-29.67
1975	-29.95
1974	-29.61
1973	-29.04
1972	-31.5
1971	-31.02
1970	-28.63
1969	-30.06
1968	-29.36
1967	-28.86
1966	-29.77
1965	-29.79
1964	-29.51
1963	-28.2
1962	-28.81
1961	-28.7
1960	-30.26
1959	-29.33
1958	-30.3
1957	-31.72
1956	-31.67
1955	-30.43
1954	-31.43
1953	-30.93
1952	-29.24
1951	-29.66
1950	-29.65
1949	-31.07
1948	-30.47
1947	-30.28
1946	-28.49
1945	-28.79
1944	-29.09
1943	-29.98
1942	-29.45
1941	-28.36
1940	-30.07
1939	-28.75
1938	-29.8
1937	-30.32
1936	-30.09
1935	-29.63
1934	-29.91
1933	-29.73
1932	-27.24
1931	-27.49
1930	-28.75
1929	-28.25
1928	-27.44
1927	-29.32
1926	-31.84
1925	-31.66
1924	-32.55
1923	-29.49
1922	-30.41
1921	-32.45
1920	-30.7
1919	-30.68
1918	-31.69
1917	-30.29
1916	-27.28
1915	-29.98
1914	-32.84
1913	-29.76
1912	-28.52
1911	-30.9
1910	-30.56
1909	-28.74
1908	-29.18
1907	-30.12
1906	-30.87
1905	-29.03
1904	-29.91
1903	-31.26
1902	-27.59
1901	-30.23
1900	-30.81