# Asia 1200 Year Gridded Summer Temperature Reconstructions
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#                World Data Service for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
#             National Centers for Environmental Information (NCEI)
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# 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. 
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/19523
# Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/asia2k-readme.txt
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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: Climate Reconstructions
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# Parameter_Keywords: air temperature 
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# Contribution_Date
#	Date: 2015-11-24
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# Title
#	Study_Name: Asia 1200 Year Gridded Summer Temperature Reconstructions
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# Investigators
# 	Investigators: Cook, E.R.; Krusic, P.J.; Anchukaitis, K.J.; Buckley, B.M.; Nakatsuka, T.; Sano, M.
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# Description_and_Notes
#	Description: Tree-ring based 1200-year gridded (2x2 degree) reconstructions of summer (June through August, JJA) temperature 
#	for temperate East Asia, produced for the IGBP-PAGES Asia2k project.  
#	Four data files are included: 
#	asia2k-jja-temp-anom.txt - reconstructed JJA temperature anomaly grid, 773 gridpoint columns by 1200 annual rows 
#	asia2k-stats.txt - calibration and verification statistics for 773 gridpoints 
#	asia2k-cru-xy.txt - CRU monthly instumental calibration data grid cell coordinates 
#	asia2k-inst-anom.txt - CRU instrumental calibration data set, 773 gridpoint columns by 109 annual rows 
#--------------------
# Publication 
#	Authors: Edward R. Cook, Paul J. Krusic, Kevin J. Anchukaitis, Brendan M. Buckley, Takeshi Nakatsuka, Masaki Sano, PAGES Asia2k Members
#	Published_Date_or_Year: 2013-12-01
#	Published_Title: Tree-ring reconstructed summer temperature anomalies for temperate East Asia since 800 C.E.
#	Journal_Name: Climate Dynamics 
#	Volume: 41
#	Edition: 
#	Issue: 11-12
#	Pages: 2957-2972
#	Report_Number: 
#	DOI: 10.1007/s00382-012-1611-x
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: We develop a summer temperature reconstruction for temperate East Asia based on a network of annual tree-ring chronologies covering the period 800-1989 C.E. The East Asia reconstruction is the regional average of 585 individual grid point summer temperature reconstructions produced using an ensemble version of point-by-point regression. Statistical calibration and validation tests indicate that the regional average possesses sufficient overall skill to allow it to be used to study the causes of temperature variability and change over the region. The reconstruction suggests a moderately warm early medieval epoch (ca. 850-1050 C.E.), followed by generally cooler 'Little Ice Age' conditions (ca. 1350-1880 C.E.) and 20th century warming up to the present time. Since 1990, average temperature has exceeded past warm epochs of comparable duration, but it is not statistically unprecedented. Superposed epoch analysis reveals a volcanic forcing signal in the East Asia summer temperature reconstruction, resulting in pulses of cooler summer conditions that may persist for several years. Substantial uncertainties remain, however, particularly at lower frequencies, thus requiring caution and scientific prudence in the interpretation of this record.
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# Funding_Agency 
#	Funding_Agency_Name: IGBP PAGES (Past Global Changes)
#	Grant: 
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# Funding_Agency 
#	Funding_Agency_Name: US National Science Foundation
#	Grant: ATM04-02474, GEO09-08971
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# Site_Information 
#	Site_Name: Eastern Temporate Asia
#	Location: Asia>Eastern Asia
#	Country:  
#	Northernmost_Latitude: 54.0
#	Southernmost_Latitude: -10.0
#	Easternmost_Longitude: 148.0
#	Westernmost_Longitude: 60.0
#	Elevation:  m  
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# Data_Collection   
#	Collection_Name: Asia2k-temp
#	Earliest_Year: 800
#	Most_Recent_Year: 1989 
#	Time_Unit: AD
#	Core_Length: m
#	Notes: 
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# Chronology_Information
#	Chronology: 
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# Variables 
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# Data variables follow 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_AD	age, , , AD, , , , ,N
## tempanom-JJA	surface air temperature anomaly, , , degrees C, June-July-August, climate reconstruction, , tree ring point-by-point regression,N 
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: -99.999 
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age_AD	tempanom-JJA