Results and analysis of oceanic total alkalinity and dissolved inorganic carbon estimated from space borne, interpolated in situ, climatological and Earth system model data

• Main Authors: Land, Peter Edward, Findlay, Helen S, Shutler, Jamie D, Ashton, Ian G C, Grouazel, Antoine, Girard-Ardhuin, Fanny, Reul, Nicolas, Piolle, Jean-Francois, Chapron, Bertrand, Quilfen, Yves, Bellerby, Richard G J, Bhadury, Punyasloke, Salisbury, Joe, Vandemark, Doug, Sabia, Roberto
• Format: Dataset
• Language: English
• Published: PANGAEA 2019
• Subjects: Aquarius; Carbonate chemistry; CORA; Dissolved inorganic carbon; Earth observation; File content; File format; File name; File size; HadGEM2-ES; Ocean acidification; SMOS; Total alkalinity; Uniform resource locator/link to file; Cora
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.898115; https://doi.org/10.1594/PANGAEA.898115

Published empirical algorithms for oceanic total alkalinity (TA) and dissolved inorganic carbon (DIC) are used with monthly sea surface salinity (SSS) and temperature (SST) derived from satellite (SMOS, Aquarius, SST CCI) and interpolated in situ (CORA) measurements and climatological (WOA) ancillary data to produce monthly maps of TA and DIC at one degree spatial resolution. Earth system model TA and DIC (HADGEM2-ES) are also included. Results are compared with in situ (GLODAPv2) TA and DIC and results analysed in five regions (global, Greater Caribbean, Amazon plume, Amazon plume with in situ SSS < 35 and Bay of Bengal). Results are presented in three versions, denoted by 'X' in the lists below: using all available data (X = ''); excluding data with bathymetry < 500m (X = 'Depth500'); excluding data with both bathymetry < 500m and distance from nearest coast < 300 km (X = 'Depth500Dist300'). Datasets S1 to S5 are .csv lists of matchups in each region - date and location, in situ TA and DIC measurements and estimated uncertainties, all input datasets, estimates of TA and DIC from all outputs, and the best available output estimates of TA and DIC for each matchup. S1_GlobalAlgorithmMatchupsX.csv S2_GreaterCaribbeanAlgorithmMatchupsX.csv S3_AmazonPlumeAlgorithmMatchupsX.csv S4_AmazonPlumeLowSAlgorithmMatchupsX.csv S5_BayOfBengalAlgorithmMatchupsX.csv Datasets S6 to S10 are .csv statistical analyses of the performance of each combination of algorithm and input data - carbonate system variable, algorithm, input datasets used, (MAD, RMSD using all available data, output score, RMSD estimated from output score, output and in situ mean and standard deviation, correlation coefficient), all items in brackets presented both unweighted and weighted, number of matchups, number of potential matchups, matchup coverage, RMSD after subtraction of linear regression, percentage reduction in RMSD due to subtraction of linear regression and weighted score divided by number of matchups). S6_GlobalAlgorithmScoresX.csv ...