Ã¯Â»Â¿# Strait of Juan de Fuca Geoduck Clam Growth Increment Data and SST Reconstruction
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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: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_STUDY_ID:6269
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/strom2004/strom2004.txt
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# Description/Documentation lines begin with #
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# Archive: Climate Reconstructions
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# Contribution_date
#	Date: 2014-12-10
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# Title 
#	Study_Name:  Strait of Juan de Fuca Geoduck Clam Growth Increment Data and SST Reconstruction
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# Investigators
#	Investigators:  Strom, A.S.; Francis, R.C.; Mantua, N.J.; Miles, E.L.; Peterson, D.L.
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# Description_and_Notes
# 	Description:  Geoduck clam (Panopea abrupta) growth increment measurements, and  mean growth chronology from the Strait of Juan de Fuca, Washington State, USA.  Site:  Protection Island, 48.12N, 122.95W, 8-20m water depth.  The chronology was used to reconstruct SST to 1877 for the nearby  Race Rocks station. Growth data were obtained by extracting at least  three thin cross-sections from the hinge area of each shell.  Digital images were captured at magnifications ranging from 25-400x  along a straight transect from the origin of growth to the outer edge.  Ring widths were measured perpendicular to the growth line axis,  and standardized using a modified negative exponential curve.  Annual growth indices were computed as the ratio of actual to  modeled growth. To compute the growth chronology, measurement series  were averaged using a biweight robust mean. The standardized,  dimensionless growth measurements are located in the file Ã¢ÂÂgrowthdataÃ¢ÂÂ. Also given are the instrumental SST data for Race Rocks, the  reconstructed Race Rocks SST series, and prediction intervals for the  reconstruction. Data is located in the file Ã¢ÂÂchronologyÃ¢ÂÂ and is  reported in degrees Celsius.  
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# Publication
#	Authors:  A.S. Strom, R. C. Francis, N.J. Mantua, E.L. Miles, D. L. Peterson
#	Published_Date_or_Year: 2004-03-19
#	Published_Title:  North Pacific Climate recorded in growth rings of geoduck clams: A new tool for paleoenvironmental reconstruction
#	Journal_Name: Geophysical Research Letters
#	Volume: 31	
#	Edition: 	
#	Issue: L06206
#	Pages: 
#	DOI:  10.1029/2004GL019440
#	Online_Resource:  
#	Full_Citation:  
#	Abstract: To better understand North Pacific climate variability at  interannual to interdecadal scales, we have developed a new tool for  paleoenvironmental reconstruction. We show that growth rings in  long-lived geoduck clams (Panopea abrupta) can provide high quality,  annually resolved records of sea-surface temperature (SST). We used  shell samples from the Strait of Juan de Fuca, in Washington State,  to extend the coastal SST record back to 1877. The spatial correlation  pattern between the growth index and gridded SSTs bears a strong  resemblance to the leading pattern of interdecadal global SST  variations and underscores the remarkable long-distance coherence  evident among coastal SST records in the northeast Pacific.  Our results also indicate that the 1990s was the warmest decade  in this region since at least the 1850s. 
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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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#	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: Joint Institute for the Study of the Atmosphere and Ocean
#	Grant:  NA17RJ1232
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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: Protection Island, Strait of Juan de Fuca
#	Location: North America>United States>Washington
#	Country:  United States
#	Northernmost_Latitude: 48.12
#	Southernmost_Latitude: 48.12
#	Easternmost_Longitude: 122.95
#	Westernmost_Longitude: 122.95
#	Elevation:
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# Data_Collection
#	Collection_Name: 04Juan01
#	Earliest_Year: 1877
#	Most_Recent_Year: 1998
#	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 
##sst	sea surface temperature, , , degrees C, , Climate Reconstructions, , ,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
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age	sst
1877	9.755129162
1878	9.914479891
1879	9.719781937
1880	9.63485579
1881	9.702043277
1882	9.579797504
1883	9.616826974
1884	9.827137837
1885	9.733154976
1886	9.714115644
1887	9.550215408
1888	9.890910219
1889	9.699652244
1890	9.907975847
1891	9.900956465
1892	9.749387478
1893	9.623273343
1894	9.655608465
1895	9.651642121
1896	9.61785022
1897	9.600364319
1898	9.484596789
1899	9.410161655
1900	9.707136425
1901	9.810997713
1902	9.995684765
1903	9.817321917
1904	9.780029655
1905	9.876663808
1906	9.920449993
1907	9.845324208
1908	9.899521221
1909	9.51082816
1910	9.385697773
1911	9.468705317
1912	9.567210231
1913	9.575927982
1914	9.701077245
1915	9.62316195
1916	9.649946421
1917	9.669858464
1918	9.697847768
1919	9.531411598
1920	9.412839945
1921	9.667579142
1922	9.351137896
1923	9.375242284
1924	9.294091796
1925	9.737212708
1926	9.860322028
1927	9.805978033
1928	9.79174066
1929	9.765576779
1930	9.470092153
1931	10.00535387
1932	9.83080695
1933	9.535677223
1934	9.708766311
1935	10.02303494
1936	9.515722905
1937	9.756944804
1938	10.01944368
1939	10.13801249
1940	10.02282467
1941	9.820984325
1942	9.629321656
1943	9.535381569
1944	9.61353673
1945	9.632962476
1946	9.433402185
1947	9.816699457
1948	9.569857159
1949	9.412826194
1950	9.674231746
1951	9.350497601
1952	9.269583606
1953	9.419489051
1954	9.567209786
1955	9.121715354
1956	9.27549323
1957	9.30174275
1958	9.875624174
1959	10.05022393
1960	9.733413233
1961	9.940820363
1962	9.73506929
1963	9.439212066
1964	9.703204883
1965	9.414991699
1966	9.265067271
1967	9.514532286
1968	9.561927215
1969	9.286171757
1970	9.598105662
1971	9.137145393
1972	9.261979917
1973	9.166206104
1974	9.465981664
1975	9.334178625
1976	9.145251286
1977	9.339746759
1978	9.686924482
1979	10.0520227
1980	9.315651576
1981	9.635562861
1982	10.00985265
1983	10.03931877
1984	10.49508466
1985	9.81703484
1986	9.786820311
1987	9.984632124
1988	9.763839767
1989	9.910720811
1990	9.55963683
1991	10.261585
1992	9.989674617
1993	10.20527648
1994	10.122428
1995	10.70518549
1996	10.1641243
1997	10.0561854
1998	10.52067226