The GEBCO_2014 Grid - a continuous terrain model for oceans and land at 30 arc-second intervals. The data in the GEBCO_2014 Grid should not be used for navigation or any purpose relating to safety at sea.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elevation (Elevation relative to sea level, m)


Decadal (2007-2016) MAB Surface Currents

Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
u_mean (10-Year Mean of Low-Pass Filtered Eastward Velocity, cm/s)
v_mean (10-Year Mean of Low-Pass Filtered Northward Velocity, cm/s)
winter_u_mean (10-Year Winter Mean of Low-Pass Filtered Eastward Velocity, cm/s)
winter_v_mean (10-Year Winter Mean of Low-Pass Filtered Northward Velocity, cm/s)
winter_u_within_year_var (10-Year Winter Mean Variance of Low-Pass Filtered Eastward Velocity, cm2/s2)
winter_v_within_year_var (10-Year Winter Mean Variance of Low-Pass Filtered Northward Velocity, cm2/s2)
winter_within_year_rms (10-Year Winter Mean RMS of Low-Pass Filtered Velocity, cm/s)
winter_u_between_year_var (10-Year Winter Variance of Mean Low-Pass Filtered Eastward Velocities, cm2/s2)
winter_v_between_year_var (10-Year Winter Variance of Mean Low-Pass Filtered Northward Velocities, cm2/s2)
winter_between_year_rms (10-Year Winter RMS of Mean Low-Pass Filtered Velocities, cm/s)
spring_u_mean (10-Year Spring Mean of Low-Pass Filtered Eastward Velocity, cm/s)
spring_v_mean (10-Year Spring Mean of Low-Pass Filtered Northward Velocity, cm/s)
spring_u_within_year_var (10-Year Spring Mean Variance of Low-Pass Filtered Eastward Velocity, cm2/s2)
spring_v_within_year_var (10-Year Spring Mean Variance of Low-Pass Filtered Northward Velocity, cm2/s2)
spring_within_year_rms (10-Year Spring Mean RMS of Low-Pass Filtered Velocity, cm/s)
spring_u_between_year_var (10-Year Spring Variance of Mean Low-Pass Filtered Eastward Velocities, cm2/s2)
spring_v_between_year_var (10-Year Spring Variance of Mean Low-Pass Filtered Northward Velocities, cm2/s2)
spring_between_year_rms (10-Year Spring RMS of Mean Low-Pass Filtered Velocities, cm/s)
summer_u_mean (10-Year Summer Mean of Low-Pass Filtered Eastward Velocity, cm/s)
summer_v_mean (10-Year Summer Mean of Low-Pass Filtered Northward Velocity, cm/s)
summer_u_within_year_var (10-Year Summer Mean Variance of Low-Pass Filtered Eastward Velocity, cm2/s2)
summer_v_within_year_var (10-Year Summer Mean Variance of Low-Pass Filtered Northward Velocity, cm2/s2)
summer_within_year_rms (10-Year Summer Mean RMS of Low-Pass Filtered Velocity, cm/s)
summer_u_between_year_var (10-Year Summer Variance of Mean Low-Pass Filtered Eastward Velocities, cm2/s2)
summer_v_between_year_var (10-Year Summer Variance of Mean Low-Pass Filtered Northward Velocities, cm2/s2)
summer_between_year_rms (10-Year Summer RMS of Mean Low-Pass Filtered Velocities, cm/s)
fall_u_mean (10-Year Fall Mean of Low-Pass Filtered Eastward Velocity, cm/s)
... (15 more variables)


FTLE based on 5MHz HF Radar Network with 24-hour Integration Time

FTLE (Finite Time Lyapunov Exponent ) calculations begin with virtual particles released in a flow field. An FTLE ridge is then defined as an area where these particles are converged to and then diverged along. A scalar quantity is assigned to the FTLE ridge based on the integrated rate of attraction of the particles. These calculations were performed using a MATLAB toolbox modified to be applied to High Frequency Radar (HFR) and coastal flow. These modifications included (1) removal of the requisite for 'closed' structures, allowing the toolbox to identify 'filament' structures alone that are characteristic of coastal flow (2) assigning all NaN values to 24 hour periods with HFR coverage below 40% of the decade mean HFR coverage (3) aborting calculations when boundary conditions are not satisfactory (approaching +/- infinity) because the data being computed with is isolated (a small 'pond' of data) or advected particles are leaving the study region too quickly and (4) removing the 'edges' of the data where advected particles are influenced by the discontinuation of the data in an irregular shape.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ftle (Finite Time Lyapunov Exponent, 1/hr)


Palmer Deep Antarctica 0.5 km Sea Surface Currents

Optimally Interpolated Total Vectors calculated by HFRProgs toolbox using MATLAB. Mercator lat/lon projection

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
u (Eastward Surface Current (cm/s), cm/s)
v (Northward Surface Current (cm/s), cm/s)
u_err (Normalized uncertainty error associated with eastward velocity component, 1)
v_err (Normalized uncertainty error associated with northward velocity component, 1)
uv_covariance (Eastward and Northward covariance directional information of u and v, 1)
num_radials (Number of radial measurements used to calculate each totals velocity)

Center for Ocean Observing and Leadership, Department of Marine & Coastal Sciences, Rutgers University


SRTM15+: Global Bathymetry and Topgraphy at 15 Arcseconds

Produced by grdmath. Data from a local source.

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


Surface Currents - MARACOOS - 1km - Realtime, QARTOD QC

Optimally Interpolated Total Vectors calculated by HFRProgs toolbox using MATLAB.  Mercator lat/lon projection

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
u (Eastward Surface Current (m/s), m/s)
v (Northward Surface Current (m/s), m/s)
u_err (Normalized uncertainty associated with eastward velocity component, <(u_hat - u)^2>/<u^2>, 1)
v_err (Normalized uncertainty associated with northward velocity component, <(v_hat - v)^2>/<v^2>, 1)
total_errors (Associated mapping error value, sqrt(U_err^2 + Verr^2), 1)
uv_covariance (Directional information of u and v, <(u_hat -u)(v_hat- v)>/sqrt(<u^2><v^2>), 1)
number_of_radials (Number of radial measurements used to calculate each totals velocity, 1)
qc303_maxspeed (maximum speed test flag, 1)
qc305_validlocation (valid location test flag, 1)
qc306_uerr (Uerr flag, 1)
qc307_verr (Verr flag, 1)
qc_primary_flag (Primary Flag, 1)
qc_operator_flag (Operator Flag, 1)


Surface Currents - MARACOOS - 2km - Realtime, QARTOD QC


Surface Currents - MARACOOS - 5MHz - Archived (Jan 1 2006 - May 2 2023)

Optimally Interpolated Total Vectors calculated by HFRProgs toolbox using MATLAB. Mercator lat/lon projection using 6km grid.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u (Eastward Velocity, cm/s)
v (Northward Velocity, cm/s)
u_err
v_err
num_radials
site_code

Center for Ocean Observing Leadership, Rutgers University


Surface Currents - MARACOOS - 5MHz - Realtime QARTOD - Archived (Sep 24 2021 - May 2 2023)


Surface Currents - MARACOOS - 6km - Archive: 2002 to 2007

Total Vectors calculated by HFRProgs toolbox using MATLAB. Mercator lat/lon projection

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
v (Northward Surface Current (m/s), m/s)
u (Eastward Surface Current (m/s), m/s)


Surface Currents - MARACOOS - 6km - Realtime, QARTOD QC


Surface Currents - SWARM - 25MHz - Reprocessed with QARTOD radials

Optimally Interpolated Total Vectors calculated by HFRProgs toolbox using MATLAB. Mercator lat/lon projection

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
u (Eastward Surface Current (cm/s), cm/s)
v (Northward Surface Current (cm/s), cm/s)
u_err (Normalized uncertainty error associated with eastward velocity component, 1)
v_err (Normalized uncertainty error associated with northward velocity component, 1)
uv_covariance (Eastward and Northward covariance directional information of u and v, 1)
num_radials (Number of radial measurements used to calculate each totals velocity)
qc16_maxspeed (Sea Water Velocity Quality Flag, 1)
qc18_validlocation (Sea Water Velocity Location Test Quality Flag, 1)
qc19_uerr (Sea Water Velocity Quality Flag, 1)
qc20_verr (Sea Water Velocity Quality Flag, 1)
qc_primary_flag (Sea Water Velocity Aggregate Quality Flag, 1)
qc_operator_mask (1)