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 (2019): Results and analysis of oceanic total alkalinity and dissolved inorganic carbon estimated from space borne, interpolated in situ, climatological and Earth system model data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.898115, Supplement to: Land, Peter Edward; Findlay, Helen S; Shutler, Jamie D; Ashton, Ian G C; Holding, Thomas; Grouazel, Antoine; Girard-Ardhuin, Fanny; Reul, Nicolas; Piolle, Jean-Francois; Chapron, Bertrand; Quilfen, Yves; Bellerby, Richard G J; Bhadury, Punyasloke; Salisbury, Joseph; Vandemark, Doug; Sabia, Roberto (2019): Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal. Remote Sensing of Environment, 235, 111469, https://doi.org/10.1016/j.rse.2019.111469
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
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
S7_GreaterCaribbeanAlgorithmScoresX.csv
S8_AmazonPlumeAlgorithmScoresX.csv
S9_AmazonPlumeLowSAlgorithmScoresX.csv
S10_BayOfBengalAlgorithmScoresX.csv
Datasets S11 to S15 are zipped netCDF files containing error analyses of all outputs in each region, including the squared error of each output at each matchup, the weight of each squared error (1/squared uncertainty), weight * squared error, number of matchups available to each output, number of matchups available to each combination of two outputs, (score of each output in a given comparison of two outputs, overall output score and RMSD estimated from output score), all items in the last brackets presented both unweighted and weighted.
S11_GlobalSquaredErrorsX.nc
S12_GreaterCaribbeanSquaredErrorsX.nc
S13_AmazonPlumeSquaredErrorsX.nc
S14_AmazonPlumeLowSSquaredErrorsX.nc
S15_BayOfBengalSquaredErrorsX.nc
Datasets S16 to S20 are zipped netCDF files containing global maps of the mean and standard deviation of each of: in situ data; output data; output data - in situ data and number of matchups. Regional files show the same maps, but only including data within the region.
S16_GlobalmapsX.nc
S17_GreaterCaribbeanmapsX.nc
S18_AmazonPlumemapsX.nc
S19_AmazonPlumeLowSmapsX.nc
S20_BayOfBengalmapsX.nc
Datasets S21 and S22 are .csv files containing the effect on estimated RMSD of excluding various combinations of algorithms and/or inputs for TA and DIC in each region. For a given variable and region, the first line shows the algorithm, input data sources, estimated RMSD and bias of the output with lowest estimated RMSD. Subsequent lines show the effect of excluding combinations of algorithms and/or inputs, ordered first by the number of algorithms/inputs excluded (fewest first), then by effect on lowest estimated RMSD. So the first line(s) consist of the effects of excluding the best algorithm and each of the input sources to that algorithm, most important first. Each line consists of the item excluded, ratio of resulting estimated RMSD to original estimated RMSD, resulting bias and number of items excluded. Some exclusions are equivalent, for instance exclusion of WOA nitrate (the only nitrate source) is equivalent to excluding all algorithms using nitrate. Dataset S21 contains a comprehensive list of all possible exclusions, and so is rather hard to read and interpret. To mitigate this, Dataset S22 contains only those exclusion sets with effect greater than 1% and at least 0.1% greater than any subset of its exclusions.
S21_importancesX.csv
S22_importances2X.csv
Dataset S23 is a .csv file containing like-for-like comparisons of RMSD between TA and DIC in each region. Bear in mind that the RMSD shown here is not the same as the estimated RMSD (RMSDe) shown elsewhere.
S23_TA_DICcomparisonX.csv
Keyword(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Land, Peter Edward | |||
| 2 | File name | File name | Land, Peter Edward | |||
| 3 | File format | File format | Land, Peter Edward | |||
| 4 | File size | File size | kByte | Land, Peter Edward | ||
| 5 | Uniform resource locator/link to file | URL file | Land, Peter Edward |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
345 data points
Data
| 1 Content | 2 File name | 3 File format | 4 File size [kByte] | 5 URL file |
|---|---|---|---|---|
| S1 Global Algorithm Matchups X | S1_GlobalAlgorithmMatchups.csv | CSV | 27988.063 | S1_GlobalAlgorithmMatchups.csv |
| S1 Global Algorithm Matchups X | S1_GlobalAlgorithmMatchupsDepth500.csv | CSV | 22901.098 | S1_GlobalAlgorithmMatchupsDepth500.csv |
| S1 Global Algorithm Matchups X | S1_GlobalAlgorithmMatchupsDepth500Dist300.csv | CSV | 16263.422 | S1_GlobalAlgorithmMatchupsDepth500Dist300.csv |
| S2 Greater Caribbean Algorithm Matchups X | S2_BayOfBengalAlgorithmMatchups.csv | CSV | 124.169 | S2_BayOfBengalAlgorithmMatchups.csv |
| S2 Greater Caribbean Algorithm Matchups X | S2_BayOfBengalAlgorithmMatchupsDepth500.csv | CSV | 105.897 | S2_BayOfBengalAlgorithmMatchupsDepth500.csv |
| S2 Greater Caribbean Algorithm Matchups X | S2_BayOfBengalAlgorithmMatchupsDepth500Dist300.csv | CSV | 74.850 | S2_BayOfBengalAlgorithmMatchupsDepth500Dist300.csv |
| S3 Amazon Plume Algorithm Matchups X | S3_GreaterCaribbeanAlgorithmMatchups.csv | CSV | 327.582 | S3_GreaterCaribbeanAlgorithmMatchups.csv |
| S3 Amazon Plume Algorithm Matchups X | S3_GreaterCaribbeanAlgorithmMatchupsDepth500.csv | CSV | 284.153 | S3_GreaterCaribbeanAlgorithmMatchupsDepth500.csv |
| S3 Amazon Plume Algorithm Matchups X | S3_GreaterCaribbeanAlgorithmMatchupsDepth500Dist300.csv | CSV | 166.537 | S3_GreaterCaribbeanAlgorithmMatchupsDepth500Dist300.csv |
| S4 Amazon Plume Low S Algorithm Matchups X | S4_AmazonPlumeAlgorithmMatchups.csv | CSV | 699.326 | S4_AmazonPlumeAlgorithmMatchups.csv |
| S4 Amazon Plume Low S Algorithm Matchups X | S4_AmazonPlumeAlgorithmMatchupsDepth500.csv | CSV | 612.012 | S4_AmazonPlumeAlgorithmMatchupsDepth500.csv |
| S4 Amazon Plume Low S Algorithm Matchups X | S4_AmazonPlumeAlgorithmMatchupsDepth500Dist300.csv | CSV | 411.140 | S4_AmazonPlumeAlgorithmMatchupsDepth500Dist300.csv |
| S5 Bay Of Bengal Algorithm Matchups X | S5_AmazonPlumeLowSAlgorithmMatchups.csv | CSV | 162.829 | S5_AmazonPlumeLowSAlgorithmMatchups.csv |
| S5 Bay Of Bengal Algorithm Matchups X | S5_AmazonPlumeLowSAlgorithmMatchupsDepth500.csv | CSV | 124.141 | S5_AmazonPlumeLowSAlgorithmMatchupsDepth500.csv |
| S5 Bay Of Bengal Algorithm Matchups X | S5_AmazonPlumeLowSAlgorithmMatchupsDepth500Dist300.csv | CSV | 64.965 | S5_AmazonPlumeLowSAlgorithmMatchupsDepth500Dist300.csv |
| S6 Global Algorithm Scores X | S6_GlobalAlgorithmScores.csv | CSV | 101.783 | S6_GlobalAlgorithmScores.csv |
| S6 Global Algorithm Scores X | S6_GlobalAlgorithmScoresDepth500.csv | CSV | 101.532 | S6_GlobalAlgorithmScoresDepth500.csv |
| S6 Global Algorithm Scores X | S6_GlobalAlgorithmScoresDepth500Dist300.csv | CSV | 101.532 | S6_GlobalAlgorithmScoresDepth500Dist300.csv |
| S7 Greater Caribbean Algorithm Scores X | S7_BayOfBengalAlgorithmScores.csv | CSV | 73.775 | S7_BayOfBengalAlgorithmScores.csv |
| S7 Greater Caribbean Algorithm Scores X | S7_BayOfBengalAlgorithmScoresDepth500.csv | CSV | 73.406 | S7_BayOfBengalAlgorithmScoresDepth500.csv |
| S7 Greater Caribbean Algorithm Scores X | S7_BayOfBengalAlgorithmScoresDepth500Dist300.csv | CSV | 73.352 | S7_BayOfBengalAlgorithmScoresDepth500Dist300.csv |
| S8 Amazon Plume Algorithm Scores X | S8_GreaterCaribbeanAlgorithmScores.csv | CSV | 100.654 | S8_GreaterCaribbeanAlgorithmScores.csv |
| S8 Amazon Plume Algorithm Scores X | S8_GreaterCaribbeanAlgorithmScoresDepth500.csv | CSV | 99.723 | S8_GreaterCaribbeanAlgorithmScoresDepth500.csv |
| S8 Amazon Plume Algorithm Scores X | S8_GreaterCaribbeanAlgorithmScoresDepth500Dist300.csv | CSV | 99.387 | S8_GreaterCaribbeanAlgorithmScoresDepth500Dist300.csv |
| S9 Amazon PlumeLowS Algorithm Scores X | S9_AmazonPlumeAlgorithmScores.csv | CSV | 112.517 | S9_AmazonPlumeAlgorithmScores.csv |
| S9 Amazon PlumeLowS Algorithm Scores X | S9_AmazonPlumeAlgorithmScoresDepth500.csv | CSV | 111.813 | S9_AmazonPlumeAlgorithmScoresDepth500.csv |
| S9 Amazon PlumeLowS Algorithm Scores X | S9_AmazonPlumeAlgorithmScoresDepth500Dist300.csv | CSV | 111.697 | S9_AmazonPlumeAlgorithmScoresDepth500Dist300.csv |
| S10 Bay Of Bengal Algorithm Scores X | S10_AmazonPlumeLowSAlgorithmScores.csv | CSV | 109.502 | S10_AmazonPlumeLowSAlgorithmScores.csv |
| S10 Bay Of Bengal Algorithm Scores X | S10_AmazonPlumeLowSAlgorithmScoresDepth500.csv | CSV | 108.454 | S10_AmazonPlumeLowSAlgorithmScoresDepth500.csv |
| S10 Bay Of Bengal Algorithm Scores X | S10_AmazonPlumeLowSAlgorithmScoresDepth500Dist300.csv | CSV | 107.689 | S10_AmazonPlumeLowSAlgorithmScoresDepth500Dist300.csv |
| S11 Global Squared Errors X | S11_GlobalSquaredErrors.nc.zip | NC zipped | 26375.801 | S11_GlobalSquaredErrors.nc.zip |
| S11 Global Squared Errors X | S11_GlobalSquaredErrorsDepth500.nc.zip | NC zipped | 21752.383 | S11_GlobalSquaredErrorsDepth500.nc.zip |
| S11 Global Squared Errors X | S11_GlobalSquaredErrorsDepth500Dist300.nc.zip | NC zipped | 15320.011 | S11_GlobalSquaredErrorsDepth500Dist300.nc.zip |
| S12 Greater Caribbean Squared Errors X | S12_BayOfBengalSquaredErrors.nc.zip | NC zipped | 186.180 | S12_BayOfBengalSquaredErrors.nc.zip |
| S12 Greater Caribbean Squared Errors X | S12_BayOfBengalSquaredErrorsDepth500.nc.zip | NC zipped | 171.126 | S12_BayOfBengalSquaredErrorsDepth500.nc.zip |
| S12 Greater Caribbean Squared Errors X | S12_BayOfBengalSquaredErrorsDepth500Dist300.nc.zip | NC zipped | 149.150 | S12_BayOfBengalSquaredErrorsDepth500Dist300.nc.zip |
| S13 Amazon Plume Squared Errors X | S13_GreaterCaribbeanSquaredErrors.nc.zip | NC zipped | 501.670 | S13_GreaterCaribbeanSquaredErrors.nc.zip |
| S13 Amazon Plume Squared Errors X | S13_GreaterCaribbeanSquaredErrorsDepth500.nc.zip | NC zipped | 425.056 | S13_GreaterCaribbeanSquaredErrorsDepth500.nc.zip |
| S13 Amazon Plume Squared Errors X | S13_GreaterCaribbeanSquaredErrorsDepth500Dist300.nc.zip | NC zipped | 280.143 | S13_GreaterCaribbeanSquaredErrorsDepth500Dist300.nc.zip |
| S14 Amazon Plume Low S Squared Errors X | S14_AmazonPlumeSquaredErrors.nc.zip | NC zipped | 794.906 | S14_AmazonPlumeSquaredErrors.nc.zip |
| S14 Amazon Plume Low S Squared Errors X | S14_AmazonPlumeSquaredErrorsDepth500.nc.zip | NC zipped | 697.721 | S14_AmazonPlumeSquaredErrorsDepth500.nc.zip |
| S14 Amazon Plume Low S Squared Errors X | S14_AmazonPlumeSquaredErrorsDepth500Dist300.nc.zip | NC zipped | 479.384 | S14_AmazonPlumeSquaredErrorsDepth500Dist300.nc.zip |
| S15 Bay Of Bengal Squared Errors X | S15_AmazonPlumeLowSSquaredErrors.nc.zip | NC zipped | 284.796 | S15_AmazonPlumeLowSSquaredErrors.nc.zip |
| S15 Bay Of Bengal Squared Errors X | S15_AmazonPlumeLowSSquaredErrorsDepth500.nc.zip | NC zipped | 243.338 | S15_AmazonPlumeLowSSquaredErrorsDepth500.nc.zip |
| S15 Bay Of Bengal Squared Errors X | S15_AmazonPlumeLowSSquaredErrorsDepth500Dist300.nc.zip | NC zipped | 198.537 | S15_AmazonPlumeLowSSquaredErrorsDepth500Dist300.nc.zip |
| S16 Global maps X | S16_Globalmaps.nc.zip | NC zipped | 16265.626 | S16_Globalmaps.nc.zip |
| S16 Global maps X | S16_GlobalmapsDepth500.nc.zip | NC zipped | 14070.132 | S16_GlobalmapsDepth500.nc.zip |
| S16 Global maps X | S16_GlobalmapsDepth500Dist300.nc.zip | NC zipped | 10627.058 | S16_GlobalmapsDepth500Dist300.nc.zip |
| S17 Greater Caribbean maps X | S17_BayOfBengalmaps.nc.zip | NC zipped | 303.060 | S17_BayOfBengalmaps.nc.zip |
| S17 Greater Caribbean maps X | S17_BayOfBengalmapsDepth500.nc.zip | NC zipped | 289.926 | S17_BayOfBengalmapsDepth500.nc.zip |
| S17 Greater Caribbean maps X | S17_BayOfBengalmapsDepth500Dist300.nc.zip | NC zipped | 263.721 | S17_BayOfBengalmapsDepth500Dist300.nc.zip |
| S18 Amazon Plume maps X | S18_GreaterCaribbeanmaps.nc.zip | NC zipped | 529.087 | S18_GreaterCaribbeanmaps.nc.zip |
| S18 Amazon Plume maps X | S18_GreaterCaribbeanmapsDepth500.nc.zip | NC zipped | 485.056 | S18_GreaterCaribbeanmapsDepth500.nc.zip |
| S18 Amazon Plume maps X | S18_GreaterCaribbeanmapsDepth500Dist300.nc.zip | NC zipped | 377.879 | S18_GreaterCaribbeanmapsDepth500Dist300.nc.zip |
| S19 Amazon Plume Low S maps X | S19_AmazonPlumemaps.nc.zip | NC zipped | 837.288 | S19_AmazonPlumemaps.nc.zip |
| S19 Amazon Plume Low S maps X | S19_AmazonPlumemapsDepth500.nc.zip | NC zipped | 778.974 | S19_AmazonPlumemapsDepth500.nc.zip |
| S19 Amazon Plume Low S maps X | S19_AmazonPlumemapsDepth500Dist300.nc.zip | NC zipped | 619.626 | S19_AmazonPlumemapsDepth500Dist300.nc.zip |
| S20 Bay Of Bengal maps X | S20_AmazonPlumeLowSmaps.nc.zip | NC zipped | 425.755 | S20_AmazonPlumeLowSmaps.nc.zip |
| S20 Bay Of Bengal maps X | S20_AmazonPlumeLowSmapsDepth500.nc.zip | NC zipped | 390.491 | S20_AmazonPlumeLowSmapsDepth500.nc.zip |
| S20 Bay Of Bengal maps X | S20_AmazonPlumeLowSmapsDepth500Dist300.nc.zip | NC zipped | 334.917 | S20_AmazonPlumeLowSmapsDepth500Dist300.nc.zip |
| S21 importances X | importances.csv | CSV | 8095.674 | importances.csv |
| S21 importances X | importancesDepth500.csv | CSV | 4546.297 | importancesDepth500.csv |
| S21 importances X | importancesDepth500Dist300.csv | CSV | 4797.146 | importancesDepth500Dist300.csv |
| S22 importances 2 X | importances2.csv | CSV | 13.628 | importances2.csv |
| S22 importances 2 X | importances2Depth500.csv | CSV | 11.751 | importances2Depth500.csv |
| S22 importances 2 X | importances2Depth500Dist300.csv | CSV | 10.300 | importances2Depth500Dist300.csv |
| S23 TA DIC comparison X | S23_TA_DICcomparison.csv | CSV | 0.543 | S23_TA_DICcomparison.csv |
| S23 TA DIC comparison X | S23_TA_DICcomparisonDepth500.csv | CSV | 0.545 | S23_TA_DICcomparisonDepth500.csv |
| S23 TA DIC comparison X | S23_TA_DICcomparisonDepth500Dist300.csv | CSV | 0.547 | S23_TA_DICcomparisonDepth500Dist300.csv |