Ã¯Â»Â¿# Sajama Ice Core Data
#-----------------------------------------------------------------------
#               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: 
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL: 
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Ice Cores
# --------------------
# Contribution_date
#	Date: 2014
# --------------------
# Title 
#	Study_Name: Sajama Ice Core Data
#
# --------------------
# Investigators
#	Investigators:  Thompson, L.G.;Mosley-Thompson, E.; Brecher, H.; Davis, M.E.; Leon, B.; Les, D.; Lin, P.-N.; Mashiotta, T.; Mountain, K. 
# --------------------
# Description_and_Notes
#	Description: 
#
# --------------------
# Publication
#	Authors: Lonnie G. Thompson, Elisabeth Mosley-Thomspon, Henry Brecher, Mary Davis, Blanca Leon, Don Les, Ping-Nan Lin, Tracy Mashiotta, Keith Mountain
#	Published_Date_or_Year: 2006-05-12
#	Published_Title:   Abrupt tropical climate change: Past and Present
#	Journal_Name: Proceedings of the National Academy of Sciences of the United States of America
#	Volume: 103
#	Edition: 	
#	Issue: 28 
#	Pages: 10536Ã¢ÂÂ10543
#	DOI: doi: 10.1073/pnas.0603900103
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: Three lines of evidence for abrupt tropical climate change, both past and present, are presented. First, annually and decadally averaged d18O and net mass-balance histories for the last 400 and 2,000 yr, respectively, demonstrate that the current warming at high elevations in the mid- to low latitudes is unprecedented for at least the last 2 millennia. Second, the continuing retreat of most mid- to low-latitude glaciers, many having persisted for thousands of years, signals a recent and abrupt change in the EarthÃ¢ÂÂs climate system. Finally, rooted, soft-bodied wetland plants, now exposed along the margins as the Quelccaya ice cap (Peru) retreats, have been radiocarbon dated and, when coupled with other widespread proxy evidence, provide strong evidence for an abrupt mid-Holocene climate event that marked the transition from early Holocene (pre-5,000-yr-B.P.) conditions to cooler, late Holocene (post-5,000-yr-B.P.) conditions. This abrupt event, ~5,200 yr ago, was widespread and spatially coherent through much of the tropics and was coincident with structural changes in several civilizations. These three lines of evidence argue that the present warming and associated glacier retreat are unprecedented in some areas for at least 5,200 yr. The ongoing global-scale, rapid retreat of mountain glaciers is not only contributing to global sea-level rise but also threatening freshwater supplies in many of the worldÃ¢ÂÂs most populous regions.
# --------------------
#	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: 
#	Grant: 
# --------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: Sajama
#	Location: South America> Bolivia
#	Country:  Bolivia
#	Northernmost_Latitude: -18.166
#	Southernmost_Latitude: -18.166 
#	Easternmost_Longitude: -69.46
#	Westernmost_Longitude: -69.46
#	Elevation: 6540 m
# --------------------
# Data_Collection
#	Collection_Name: 06Saja01
#	Earliest_Year: 1902
#	Most_Recent_Year: 1992
#	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 variables: NAN
#
age	d18O
1992	-15.6021
1987	-17.6009
1982	-18.3016
1977	-18.4994
1972	-19.168
1967	-15.8943
1962	-16.8438
1957	-16.5089
1952	-14.9783
1947	-15.9671
1942	-16.9806
1937	-17.6862
1932	-16.2709
1927	-18.1957
1922	-17.5813
1917	-17.2106
1912	-18.4335
1907	-15.1008
1902	-17.3858