DOCUMENTATION/ GEOMS DATA REPORTING/ GEOMS-TE GECA
GEOMS GECA template descriptions
Measurement specific templates
GEOMS-TE-Buoy-Anemometer-GA (Buoy-Anemometer Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Wind speed measured by an anemometer on a buoy | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.MOORED
or
OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.DRIFTING | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY
or
EXPERIMENTAL; SCALAR.MOVING | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | WMO12345 | Each buoy is characterised by a 5-digit number ; the example given is the number '12345' |
| 4 | DATA_SOURCE | ANEMOMETER_MSC001 | The 1st field indicates the type of instrument that provides the data in the file; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the Meteorological Service Canada |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | | | In case of a drifting buoy, latitude and longitude will be datetime dependent arrays |
| 7 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
WIND.SPEED_EASTWARD;
WIND.SPEED_EASTWARD_UNCERTAINTY.TOTAL;
WIND.SPEED_NORTHWARD;
WIND.SPEED_NORTHWARD_UNCERTAINTY.TOTAL
| |
Download in CSV format GEOMS-TE-Buoy-Anemometer-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-Anemometer-VA (Buoy-Anemometer Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for eastern longitudes |
| 3 | WIND.SPEED_EASTWARD | m s-1 | REAL | E12.4 | -9.00E+04 | Measured wind speed in the eastward direction |
| 4 | WIND.SPEED_EASTWARD_UNCERTAINTY.TOTAL | m s-1 | REAL | E12.4 | -9.00E+04 | Uncertainty on the measured wind speed in the eastward direction |
| 5 | WIND.SPEED_NORTHWARD | m s-1 | REAL | E12.4 | -9.00E+04 | Measured wind speed in the northward direction |
| 6 | WIND.SPEED_NORTHWARD_UNCERTAINTY.TOTAL | m s-1
| REAL | E12.4 | -9.00E+04 | Uncertainty on the measured wind speed in the northward direction |
Download in CSV format GEOMS-TE-Buoy-Anemometer-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-SSP-GA (Buoy-SSP Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Sea surface pressure data taken with a barometer on a moored or drifting buoy | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.MOORED
or
OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.DRIFTING | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY
or
EXPERIMENTAL; SCALAR.MOVING | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | WMO12345 | Each buoy is characterised by a 5-digit number ; the example given is the number '12345' |
| 4 | DATA_SOURCE | GAUGE.PRESSURE_MSC001 | The 1st field indicates the type of instrument on the buoy that provides the data in the file: in this case it is a pressure measuring device; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the Meteoerological Service of Canada (MSC). |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
SEA.SURFACE.PRESSURE;
SEA.SURFACE.PRESSURE__UNCERTAINTY.TOTAL
| For a moored buoy, latitude and longitude will be constant; for a drifting buoy, latitude and longitude will be datetime dependent arrays |
Download in CSV format GEOMS-TE-Buoy-SSP-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-SSP-VA (Buoy-SSP Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for eastern longitudes |
| 3 | SEA.SURFACE.PRESSURE | hPa | REAL | E12.4 | -9.00E+04 | Measured sea surface pressure |
| 4 | SEA.SURFACE.PRESSURE__UNCERTAINTY.TOTAL | hPa
| REAL | E12.4 | -9.00E+04 | Uncertainty on the measured sea surface pressure |
Download in CSV format GEOMS-TE-Buoy-SSP-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-SST-GA (Buoy-SST Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Sea surface temperature data taken with a thermocouple on a moored (drifting) buoy | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.MOORED
or
OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.DRIFTING | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY
or
EXPERIMENTAL; SCALAR.MOVING | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | WMO12345 | Each buoy is characterised by a 5-digit number ; the example given is the number '12345' |
| 4 | DATA_SOURCE | GAUGE.TEMPERATURE_MSC001 | the 1st field indicates the instrument on the buoy that provides the data in the file: in this case it is a temperature measuring device; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the Meteoerological Service of Canada (MSC). |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
SEA.SURFACE.TEMPERATURE.SUBSKIN;
SEA.SURFACE.TEMPERATURE.SUBSKIN__UNCERTAINTY.TOTAL
| For a moored buoy, latitude and longitude will be constant; for a drifting buoy, latitude and longitude will be datetime dependent arrays |
Download in CSV format GEOMS-TE-Buoy-SST-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-SST-VA (Buoy-SST Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for eastern longitudes |
| 3 | SEA.SURFACE.TEMPERATURE.SUBSKIN | K | REAL | E12.4 | -9.00E+04 | Measured subskin sea surface temperature |
| 4 | SEA.SURFACE.TEMPERATURE.SUBSKIN__UNCERTAINTY.TOTAL | K
| REAL | E12.4 | -9.00E+04 | Measured uncertainty on the subskin sea surface temperature |
Download in CSV format GEOMS-TE-Buoy-SST-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-Wavemotion-GA (Buoy-Wavemotion Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Sea surface wave data derived from motion sensors (accelerometers; inclinometers; magnetometers; heave, pitch and roll sensors) on a moored buoy | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.MOORED | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | WMO12345 | Each buoy is characterised by a 5-digit number ; the example given is the number '12345' |
| 4 | DATA_SOURCE | GAUGE.MOTION_MSC001 | The 1st field indicates the instrument on the buoy that provides the data in the file: in this case it is a temperature measuring device; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the Meteorological Service of Canada (MSC). |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
FREQUENCY.BIN;
SEA.SURFACE.WAVE.DENSITY.SPECTRAL.VARIANCE;
SEA.SURFACE.WAVE.DENSITY.SPECTRAL.VARIANCE_DIRECTIONAL;
SEA.SURFACE.WAVE.HEIGHT.SIGNIFICANT;SEA.SURFACE.WAVE.HEIGHT.SWELL
| For a moored buoy, latitude and longitude will be constant. The sea surface wave variables depend on the frequency bin; when directional, they also depend on the direction. |
Download in CSV format GEOMS-TE-Buoy-Wavemotion-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-Wavemotion-VA (Buoy-Wavemotion Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for eastern longitudes |
| 3 | FREQUENCY.BIN | m s-1 | REAL | E12.4 | -9.00E+04 | The 2D array of frequency bins in which the wave spectral densities are reported; each row contains lower and upper frequency limits of the bin |
| 4 | DIRECTION | deg | REAL | F9.2 | -90000 | The vector of directions in which the variance of spectral wave density is reported |
| 5 | SEA.SURFACE.WAVE.SPECTRAL.DENSITY.VARIANCE | m2 s | REAL | E12.4 | -9.00E+04 | The variances of wave amplitude within a range (bin) of wave frequencies (array dependent on FREQUENCY.BIN) |
| 6 | SEA.SURFACE.WAVE.SPECTRAL.DENSITY.VARIANCE_DIRECTIONAL | m2 s rad-1 | REAL | E12.4 | -9.00E+04 | The variance of wave amplitude within given ranges of wave frequencies and direction (array dependent on FREQUENCY.BIN and DIRECTION) |
| 7 | SEA.SURFACE.WAVE.HEIGHT.SIGNIFICANT | m | REAL | E12.4 | -9.00E+04 | Measured significant wave height |
| 8 | SEA.SURFACE.WAVE.HEIGHT.SWELL | m
| REAL | E12.4 | -9.00E+04 | Measured swell wave height |
Download in CSV format GEOMS-TE-Buoy-Wavemotion-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-Windvane-GA (Buoy-Windvane Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Wind direction measured by a windvane on a buoy | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.MOORED
or
OCEANOGRAPHIC.PHYSICS;INSITU;BUOY.DRIFTING | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY
or
EXPERIMENTAL; SCALAR.MOVING | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | WMO12345 | Each buoy is characterised by a 5-digit number ; the example given is the number '12345' |
| 4 | DATA_SOURCE | WINDVANE_MSC001 | The 1st field indicates the type of instrument that provides the data in the file; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the Meteorological Service Canada |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
WIND.DIRECTION;
WIND.DIRECTION__UNCERTAINTY.TOTAL
| Latitude and longitude will be datetime dependent arrays if the buoy is drifting. |
Download in CSV format GEOMS-TE-Buoy-Windvane-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Buoy-Windvane-VA (Buoy-Windvane Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in situ measurement; generally positive for eastern longitudes |
| 3 | WIND.DIRECTION | deg | REAL | F9.2 | -90000 | Measured wind direction, N is 0 deg, E is 90 deg |
| 4 | WIND.DIRECTION__UNCERTAINTY.TOTAL | deg
| REAL | F9.2 | -90000 | Uncertainty on the measured wind direction |
Download in CSV format GEOMS-TE-Buoy-Windvane-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-Gauge-Tide-GA (Gauge-Tide Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Sea surface height data taken with a tide gauge at a coastal site. | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;INSITU;SEASIDE | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | AMSTERDAM | The tide gauge is located at a fixed 'named' location |
| 4 | DATA_SOURCE | GAUGE.TIDE_URI.GSO001 | The 1st field indicates the type of instrument that provides the data in the file; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the University of Rhode Island, Graduate School of Oceanography (URI.GSO) |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
SEA.SURFACE.HEIGHT;
SEA.SURFACE.HEIGHT__UNCERTAINTY.TOTAL
| |
Download in CSV format GEOMS-TE-Gauge-Tide-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Gauge-Tide-VA (Gauge-Tide Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in situ measurement; generally positive for eastern longitudes |
| 3 | SEA.SURFACE.HEIGHT | m | REAL | E12.4 | -9.00E+04 | Measured sea surface height |
| 4 | SEA.SURFACE.HEIGHT__UNCERTAINTY.TOTAL | m
| REAL | E12.4 | -9.00E+04 | Uncertainty on the measured sea surface height |
Download in CSV format GEOMS-TE-Gauge-Tide-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-LAI-GA (LAI Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Leaf area index data taken in the Everglades with a LAI_2000 analyzer | Free description of the data set |
| 1 | DATA_DISCIPLINE | LAND.SURFACE.BIOLOGY;INSITU;GROUNDBASED | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.STATIONARY | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | EVERGLADES.FL | The measurement is carried out in a given named environment |
| 4 | DATA_SOURCE | ANALYSER.LAI_ULEICESTER001 | The 1st field indicates the type of instrument that provides the data in the file; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the University of Leicester (ULEICESTER) |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
LEAF.AREA.INDEX
| |
Download in CSV format GEOMS-TE-LAI-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-LAI-VA (LAI Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for eastern longitudes |
| 3 | LEAF.AREA.INDEX | DIMENSIONLESS
| REAL | E12.4 | -9.00E+04 | Measured leaf area index |
Download in CSV format GEOMS-TE-LAI-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-Radiance-GA (Radiance Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Spectral radiance measurements made with a spectroradiometer on-board a ship | Free description of the data set |
| 1 | DATA_DISCIPLINE | ATMOSPHERIC.PHYSICS;INSITU;SHIP | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; PROFILE.MOVING | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | POLARSTERN | The name of the ship (platform) |
| 4 | DATA_SOURCE | SPECTRORADIOMETER_ULEICESTER001 | The 1st field indicates the type of instrument that provides the data in the file; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the University of Leicester (ULEICESTER) |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE;
LONGITUDE;
WAVELENGTH;
RADIANCE.DOWNWELLING_SPECTRAL;
RADIANCE.UPWELLING_SPECTRAL
| For the moving ship, latitude and longitude will be datetime-dependent arrays;the radiance variables will be arrays depending on wavelength |
Download in CSV format GEOMS-TE-Radiance-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-Radiance-VA (Radiance Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for northern latitudes |
| 2 | LONGITUDE | deg | REAL | F9.2 | -90000 | The geolocation of the in-situ measurement; generally positive for eastern longitudes |
| 3 | WAVELENGTH | nm | REAL | E12.4 | -9.00E+04 | The wavelength(s) at which the radiances are provided |
| 4 | RADIANCE.DOWNWELLING_SPECTRAL | W m-2 sr-1 m-1 | REAL | E12.4 | -9.00E+04 | Measured upwelling radiance as a function of wavelength |
| 5 | RADIANCE.UPWELLING_SPECTRAL | W m-2 sr-1 m-1
| REAL | E12.4 | -9.00E+04 | Measured downwelling radiance as a function of wavelength |
Download in CSV format GEOMS-TE-Radiance-VA.csv (last updated: December 01, 2021).
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GEOMS-TE-SST-GA (SST Global Attributes Template)
| # | Variable name | Variable value | Comment |
| 0 | DATA_DESCRIPTION | Sea surface temperature data derived from radiometer measurements on-board a ship | Free description of the data set |
| 1 | DATA_DISCIPLINE | OCEANOGRAPHIC.PHYSICS;REMOTE.SENSING;SHIP | Discipline field; Acquisition method; Acquisition platform |
| 2 | DATA_GROUP | EXPERIMENTAL; SCALAR.MOVING | Origin of the data (experimental, model, or a combination of both);spatial characteristics of the data. |
| 3 | DATA_LOCATION | POLARSTERN | The name of the ship |
| 4 | DATA_SOURCE | RADIOMETER_MSC001 | The 1st field indicates the type of instrument on the ship that provides the data in the file: in this case it is a radiometer to derive temperature ; the 2nd field indicates the institutional owner of the instrument (acronym) and a unique numerical identifier to distinguish between instruments from the same owner: in the example given the instrument belongs to the Meteoerological Service of Canada (MSC). |
| 5 | DATA_LEVEL | H2 | Example: level 2 data at a hourly temporal sampling |
| 6 | DATA_VARIABLES | DATETIME;
LATITUDE.INSTRUMENT;
LONGITUDE.INSTRUMENT;
SEA.SURFACE.TEMPERATURE.SKIN;
SEA.SURFACE.TEMPERATURE.SKIN__UNCERTAINTY.TOTAL
| Latitude and longitude will be datetime dependent arrays when the ship is moving |
Download in CSV format GEOMS-TE-SST-GA.csv (last updated: December 01, 2021).
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GEOMS-TE-SST-VA (SST Variable Attributes Template)
| # | Variable name | Units | Numeric type | Formatting | Fill values | Comment |
| 0 | DATETIME | MJD2000 | DOUBLE | F16.9 | -90000 | Effective meas. time |
| 1 | LATITUDE.INSTRUMENT | deg | REAL | F9.2 | -90000 | The geolocation of the remote sensing instrument; generally positive for northern latitudes |
| 2 | LONGITUDE.INSTRUMENT | deg | REAL | F9.2 | -90000 | The geolocation of the remote sensing instrument; generally positive for eastern longitudes |
| 3 | SEA.SURFACE.TEMPERATURE.SKIN | K | REAL | E12.4 | -9.00E+04 | Measured skin sea surface temperature |
| 4 | SEA.SURFACE.TEMPERATURE.SKIN__UNCERTAINTY.TOTAL | K
| REAL | E12.4 | -9.00E+04 | Uncertainty on the measured skin sea surface temperature |
Download in CSV format GEOMS-TE-SST-VA.csv (last updated: December 01, 2021).
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