# Florida Bay Coral Isotope and Ba/Ca Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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. # # # Online_Resource: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_STUDY_ID:1914 # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/coral/atlantic/florida-bay-1999.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Corals and Sclerosponges #-------------------- # Contribution_Date # Date: 2005-02-01 #-------------------- # Title # Study_Name: Florida Bay Coral Isotope and Ba/Ca Data #-------------------- # Investigators # Investigators: Swart, P.K.; Healy, G.F.; Greer, L.; Lutz, M.; Saied, A.; Anderegg, D.; Dodge, R.E.; Rudnick, D. #-------------------- # Description_and_Notes # Description: #-------------------- # Publication # Authors: Swart, P.K.; Healy, G.F.; Greer, L.; Lutz, M.; Saied, A.; Anderegg, D.; Dodge, R.E.; Rudnick, D. # Published_Date_or_Year: 1999 # Published_Title: The use of proxy chemical records in coral skeletons to ascertain past environmental conditions in Florida Bay # Journal_Name: Estuaries # Volume: # Edition: # Issue: # Pages: 22:384-397 # DOI: # Online_Resource: # Full_Citation: Swart, P.K., G. Healy, L. Greer, M. Lutz, A. Saied, D. Anderegg, R.E. Dodge, and D. Rudnick. 1999. The use of proxy chemical records in coral skeletons to ascertain past environmental conditions in Florida Bay. Estuaries, 22:384-397. # Abstract: #------------------ # 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: Lignumvitae Basin, Florida Bay # Location: North America>United States Of America>Florida # Country: United States Of America # Northernmost_Latitude: 25.00 # Southernmost_Latitude: 25.00 # Easternmost_Longitude: -80.60 # Westernmost_Longitude: -80.60 # Elevation: -2 m #------------------ # Data_Collection # Collection_Name: 99flor01b # Earliest_Year: 1899 # Most_Recent_Year: 1996 # Time_Unit: y_ad # Core_Length: # Notes: {"database":"LMR"} #------------------ # Species # Species_Name: Solenastrea bournoni # Common_Name: #------------------ # Chronology: # # # # # # # # #---------------- # 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, , Corals and Sclerosponges, , ,N ##d18O delta 18 Oxygen, Solenastrea bournoni, , permil VPDB, , Corals and Sclerosponges, , ,N ##d13C delta 13 Carbon, Solenastrea bournoni, , permil VPDB, , Corals and Sclerosponges, , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: NAN # age d18O d13C 1899 -4.71 -3.46 1900 -5.55 -4.69 1901 -3.88 -2.55 1902 -4.59 -2.39 1903 -5.09 -3.02 1904 -4.96 -4.04 1905 -5.60 -3.37 1906 -4.78 -2.97 1907 -5.94 -3.96 1908 -3.42 -1.98 1909 -6.03 -5.43 1910 -4.38 -2.89 1911 -4.00 -2.64 1912 -4.07 -2.93 1913 -3.52 -2.22 1914 -5.75 -3.98 1915 -5.47 -4.72 1916 -4.39 -3.38 1917 -4.10 -3.40 1918 -4.51 -2.97 1919 -3.18 -4.77 1920 -4.80 -5.21 1921 -3.16 -4.96 1922 -5.16 -3.85 1923 -4.69 -2.62 1924 -4.59 -2.84 1925 -3.13 -2.52 1926 -5.78 -5.69 1927 -4.19 -3.46 1928 -5.38 -3.47 1929 -5.07 -4.02 1930 -4.96 -4.02 1931 -4.51 -3.36 1932 -4.34 -2.77 1933 -5.11 -3.83 1934 -4.28 -3.15 1935 -3.86 -2.98 1936 -3.50 -2.55 1937 -3.57 -3.02 1938 -3.87 -2.82 1939 -3.51 -3.52 1940 -4.58 -3.25 1941 -6.23 -5.27 1942 -3.57 -3.51 1943 -3.57 -2.38 1944 -3.50 -2.06 1945 -3.56 -2.60 1946 -3.02 -2.46 1947 -3.85 -2.71 1948 -4.06 -3.99 1949 -5.00 -3.05 1950 -4.78 -3.48 1951 -6.43 -4.38 1952 -4.17 -3.59 1953 -5.15 -4.85 1954 -3.47 -1.00 1955 -6.09 -5.12 1956 -4.27 -2.66 1957 -4.14 -2.78 1958 -6.28 -4.90 1959 -4.72 -3.99 1960 -4.36 -3.76 1961 -4.94 -2.90 1962 -3.91 -2.67 1963 -3.89 -1.86 1964 -4.31 -2.70 1965 -3.62 -2.42 1966 -4.23 -2.04 1967 -5.35 -3.39 1968 -4.10 -2.78 1969 -4.30 -2.55 1970 -4.77 -4.30 1971 -6.21 -4.75 1972 -7.06 -5.55 1973 -4.38 -2.87 1974 -3.58 -2.05 1975 -5.96 -4.83 1976 -5.32 -4.08 1977 -6.24 -3.61 1978 -7.05 -6.52 1979 -5.56 -2.48 1980 -5.81 -2.82 1981 -4.98 -3.04 1982 -6.14 -2.50 1983 -4.85 -2.99 1984 -6.03 -3.62 1985 -5.82 -3.54 1986 -4.77 -3.50 1987 -6.43 -4.00 1988 -6.61 -3.92 1989 -5.57 -4.65 1990 -5.92 -5.26 1991 -6.61 -5.28 1992 -6.51 -3.93 1993 -5.70 -4.84 1994 -8.25 -7.53 1995 -5.95 -4.77 1996 -5.75 -3.94