1-day USF AFAI Fields (USF AFAI 1D AOML) (USFAFAI)

Summary:
University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 1D Atlantic Oceanographic & Meteorological Laboratory (AOML))

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AFAI (AFAI (Alternative Floating Algae Index))


3-Day Aggregated MODIS Aqua K490

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
K490 (diffuse_attenuation_coefficient_k490, m^-1)

CoastWatch Caribbean and Gulf of America Regional Node/Atlantic OceanWatch


3-Day Aggregated MODIS Aqua Rrs667

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs667 (remote_sensing_reflectance_at_667_nm, sr^-1)


3-Day Aggregated MODIS Terra K490


3-Day Aggregated MODIS Terra Rrs667


3-day cumulative USF AFAI Fields (USF AFAI 3D AOML) (USFAFAI3D)

Summary:
3-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AFAI (AFAI (Alternative Floating Algae Index))


7-day cumulative USF AFAI Fields (USF AFAI 7D AOML) (USFAFAI7D)

Summary:
7-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AFAI (AFAI (Alternative Floating Algae Index))


8_Day Global Seascapes

Summary:
Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLASS (None)
P (Prob, Punits)

NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS


8_Day Global Seascapes (Lon:0_360)


8_Day Global Seascapes (VIIRS,OLCI)


AMSR-2 daily products

Summary:
The daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first or bit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
AMSR2_SST_Ascending (AMSR-2 Sea Surface Temperature, Ascending Passes, degree_C)
WSPD_LF_Ascending (Surface Wind Speed, Low Frequency, Ascending Passes, m s-1)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, kg m-2)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, mm hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
AMSR2_SST_Descending (AMSR-2 Sea Surface Temperature, Descending Passes, degree_C)
WSPD_LF_Descending (Surface Wind Speed, Low Frequency, Descending Passes, m s-1)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, kg m-2)
Rain_Rate_Descending (Rain Rate, Descending Passes, mm hr-1)


Archived NOAA Coral Reef Watch  25km Ocean Acidification Product Suite for the Greater Caribbean Region  Quality Flag = Preliminary

Summary:
This is the Coral Reef Watch Ocean Acidification Product Suite  produced monthly in conjunction with NOAA CoastWatch. CoastWatch Utilities, including CoastWatch Data Analysis  Tool (CDAT), v3.2.1 or higher (https://coastwatch.noaa.gov/cw_software.html) can be used for viewing, analyzing, and plotting the data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SST (sea surface temperature, degree_C)
SSS (sea surface salinity, psu)
pCO2sw (Partial pressure CO2 Seawater, uatm)
TA (Total Alkalinity, umol/kg)
TC (Total Inorganic Carbon, umol/kg)
pH (Total Scale)
SSA (Saturation State (aragonite), Omega)
HCO3 (Bicarbonate Ion Concentration (HCO3-), umol/kg)
CO3 (Carbonate Ion Concentration (CO3--), umol/kg)

CoastWatch Caribb-NOAA NESDIS Coral Reef Watch


AVHRR Daily Sea Surface Temperature Anomaly Fields

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstanomaly (sea surface temperature anomaly, degree_C)


AVHRR Daily Sea Surface Temperature Fields

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (sea surface temperature, degree_C)


Chlorophyll, NOAA S-NPP VIIRS, Near Real-Time, 750m Sector VY, Daily

Summary:
Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)
swath_latitude (Latitude, degrees_north)
swath_longitude (Longitude, degrees_east)
graphics (graphics overlay planes)


CoastWatch SST Blended Analysis NIGHT ONLY

Summary:
United States Department of Commerce (USDOC)/NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) COASTWATCH noaa19/metop-a goese/w msg/mtsat Sea Surface Temperature (SST) Blended Analysis NIGHT ONLY. Original product modified by CW Caribbean and Gulf of America Regional Node, and Atlantic OceanWatch Node to include frontal systems

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_analysis_night_only (degree_C)
sst_gradient (degree_C)


Daily Aggregated MODIS Aqua Rrs667


Daily Aggregated MODIS Terra K490


Daily Aggregated MODIS Terra Rrs667


Daily MODIS AQUA Chlor_a Fields

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chl_a (MODIS AQUA, concentration_of_chlorophyll_in_sea_water, mg m-3)


Experimental NRT Global Monthly Cumulative field from NPP VIIRS created from Daily NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)

Summary:
Global 30-day Cumulative chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


Experimental NRT Global Weekly Cumulative field from NPP VIIRS created from Daily NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)

Summary:
Global Weekly chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


EXPERIMENTAL. AOML Monthly Global Carbon Fluxes

Summary:
Experimental Global Carbon Fluxes

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
flux (Sea-Air Carbon Flux, molm-2Yr-1)
flux_anom (Sea-Air Carbon Flux Anomaly, molm-2Yr-1)
difco2 (Surface Water-Atmospheric Partial Pressure Difference, uatm)
difco2_anom (Surface Water-Atmospheric Part. Press Diff Anom, uatm)


EXPERIMENTAL. AOML SEASONAL Global Carbon Fluxes

Summary:
Experimental SEASONAL Global Carbon Fluxes

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
flux (Seasonal Sea-Air Carbon Flux, molm-2Season-1)
flux_anom (Seasonal Sea-Air Carbon Flux Anom, molm-2Season-1)
difco2 (Surface Water-Atmospheric Part Press Diff, uatm)
difco2_anom (Surface Water-Atmospheric Part Press Diff Anom, uatm)


F15 SSM/I daily products (SSMI F15)

Summary:
These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products are produced as part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. Remote Sensing Systems generates SSM/I and SSMIS data products using a unified, physically based algorithm to simultaneously retrieve the products. This algorithm is a product of 20 years of refinements, improvements, and verifications.nThe daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, mm)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, mm hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, mm)
Rain_Rate_Descending (Rain Rate, Descending Passes, mm hr-1)


F16 SSMIS daily products (SSMI F16)


F17 SSMIS daily products (SSMI F17)


F18 SSMIS daily products (SSMI F18)


GMI (GPM Microwave Imager) daily products

Summary:
The daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
GMI_SST_Ascending (GMI Sea Surface Temperature, Ascending Passes, degree_C)
WSPD_LF_Ascending (Surface Wind Speed, Low Frequency, Ascending Passes, m s-1)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, mm)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, mm hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
GMI_SST_Descending (GMI Sea Surface Temperature, Descending Passes, degree_C)
WSPD_LF_Descending (Surface Wind Speed, Low Frequency, Descending Passes, m s-1)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, mm)
Rain_Rate_Descending (Rain Rate, Descending Passes, mm hr-1)


GOES Daily Sea Surface Temperature Fields


GOES MSG Daily Sea Surface Temperature Fields


GOES19 Hourly Sea Surface Temperature Fields


Kd490, NOAA S-NPP VIIRS, Near Real-Time, 750m Sector VY, Daily

Summary:
Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_490 (Diffuse Attenuation Coefficient at 490 nm, m^-1)
swath_latitude (Latitude, degrees_north)
swath_longitude (Longitude, degrees_east)
graphics (graphics overlay planes)


Kd490, NOAA S-NPP VIIRS, Science Quality, 750m Sector VY, Daily


KdPAR, NOAA S-NPP VIIRS, Near Real-Time, 750m Sector VY, Daily

Summary:
Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_PAR (Diffuse Attenuation Coefficient for PAR, m^-1)
swath_latitude (Latitude, degrees_north)
swath_longitude (Longitude, degrees_east)
graphics (graphics overlay planes)


KdPAR, NOAA S-NPP VIIRS, Science Quality, 750m Sector VY, Daily


METOP-A ASCAT daily products

Summary:
The Advanced SCATterometer (ASCAT) ocean surface winds are a 10 meter neutral stability wind. These products are processed by NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) utilizing measurements from ASCAT aboard the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) METOP satellite. The current geophysical model function (GMF) being used is CMOD5.5, where the GMF relates the normalized radar cross-section to the ocean surface wind speed and direction. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd_Ascending (Zonal Wind, m s-1)
vwnd_Ascending (Meridional Wind, m s-1)
WSPD_Ascending (Surface Wind Speed, Ascending Passes, m s-1)
Rain_Flag_Ascending (Rain Flag, Ascending Passes)
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
uwnd_Descending (Zonal Wind, m s-1)
vwnd_Descending (m s-1)
WSPD_Descending (Surface Wind Speed, Descending Passes, m s-1)
Rain_Flag_Descending (Rain Flag, Descending Passes)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)


Monthly Climatology MODIS Aqua CDOM

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CDOM (Aqua MODIS Chromophoric Dissolved Organic Matter Index)


Monthly Climatology MODIS Aqua Chlor_a

Summary:
TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)
Std_Dev_chlor_a (Chlorophyll Concentration standard deviation, mg m^-3)
Maximum_chlor_a (Chlorophyll Concentration Maximum, OCI Algorithm, mg m^-3)
Minimum_chlor_a (Chlorophyll Concentration Minimum, OCI Algorithm, mg m^-3)

CoastWatch Caribbean and Gulf of America Regional Node/Atlantic OceanWatch, Atlantic OceanWatch


Monthly Global Seascapes

Summary:
Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLASS (None)
P (Prob, Punits)


Monthly Global Seascapes (Lon:0_360)


Monthly Global Seascapes (VIIRS, OLCI)


Near Real Time Dynamic Topography

Summary:
Near Real Time Altimeter-derived Dynamic Height

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_height_above_geoid (m)


Near Real Time Geostrophic Currents

Summary:
Near Real Time Geostrophic Currents

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u_current (Eastward Sea Water Velocity, m/s)
v_current (Northward Sea Water Velocity, m/s)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO degrees C)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)
sses_bias (SSES bias estimate, degree_C)
sses_standard_deviation (degree_C)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, Daily (L3S-LEO degrees C)


Summary:
Synthetic temperature fields from METEOROMS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, Celsius)


Summary:
Synthetic temperature/salinity profiles for Hurricane Emily. Quality Flag = Preliminary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, K)
salinity (sea water salinity, 1e-3)


Summary:
Synthetic temperature/salinity profiles for Hurricane Rita. Quality Flag = Preliminary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, K)
salinity (sea water salinity, 1e-3)


Summary:
Synthetic temperature/salinity profiles for Hurricane Wilma. Quality Flag = Preliminary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, K)
salinity (sea water salinity, 1e-3)


TCHP_D26 Fields

Summary:
Tropical Cyclone Heat Potential

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tropical_Cyclone_Heat_Potential (KJcm-2)
D26 (Depth of the 26C isotherm, m)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)

Summary:
ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
altitude (m)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude 0 to 360), (Ice Sheet Surface)


USDOC/NOAA/NESDIS ECDC USC Vibrio Risk Analysis

Summary:
Preliminary and experimental Vibrio Risk fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
daily_vibrio_risk (Risk Level)


USDOC/NOAA/NESDIS USC Cumulative Vibrio Risk Analysis

Summary:
Preliminary and experimental Weekly Cumulative Vibrio Risk fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weekly_cumulative_vibrio_risk_maximum (Risk Level)
weekly_cumulative_vibrio_risk_mean (Risk Level)


USDOC/NOAA/NESDIS USC Forecast Vibrio Risk Analysis

Summary:
Preliminary and experimental Predicted Vibrio Risk fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
forecast_daily_vibrio_risk (Risk Level)


World Ocean Atlas 2023 : sea_water_practical_salinity December  0.25 degree

Summary:
Climatological mean salinity for the global ocean from in situ profile data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
s_an (Objectively analyzed mean fields for sea_water_practical_salinity at standard depth levels., PSU)


World Ocean Atlas 2023 : sea_water_temperature December  0.25 degree

Summary:
Climatological mean temperature for the global ocean from in situ profile data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
t_an (Objectively analyzed mean fields for sea_water_temperature at standard depth levels., degree_C)