Title: Gulf of Mexico SSH Anomaly Grid - 2004

Summary:
Since 1996, global, near-real-time maps of mesoscale anomalies derived from tandem sampling provided by altimeters aboard the Topography Experiment (TOPEX)/Poseidon and European Remote Sensing Satellite (ERS)-2 satellites have been posted on web pages hosted at the Colorado Center for Astrodynamics Research. The original, near-real-time processing system was based on a quick-look analysis that referenced the data to a high-resolution gridded mean sea surface available at the time. Recently, state-of-the-art mean sea surfaces have been derived that are based on a more complete record of altimeter observations. An updated mesoscale monitoring system based on a new mean surface is described and shown to provide improved mesoscale monitoring to the successful system implemented in 1996.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ssh (sea surface height, cm)


Title: Gulf of Mexico SSH Anomaly Grid - 2005

Institution: Colorado Center for Astrodynamics Research


Title: Gulf of Mexico SSH Anomaly Grid - 2006


Title: Gulf of Mexico SSH Anomaly Grid - 2007


Title: Gulf of Mexico SSH Anomaly Grid - 2008


Title: Gulf of Mexico SSH Anomaly Grid - 2009


Title: Gulf of Mexico SSH Anomaly Grid - 2010


Title: Gulf of Mexico SSH Anomaly Grid - 2011


Title: Gulf of Mexico SSH Anomaly Grid - 2012


Title: Gulf of Mexico SSH Anomaly Grid - 2013


Title: Gulf of Mexico SSH Anomaly Grid - 2014


Title: Gulf of Mexico SSH Anomaly Grid - 2015


Title: Gulf of Mexico SSH Anomaly Grid - 2016


Title: Gulf of Mexico SSH Anomaly Grid - 2017


Title: Gulf of Mexico SSH Anomaly Grid - 2018


Title: Gulf of Mexico SSH Anomaly Grid - 2019


Title: Gulf of Mexico SSH Anomaly Grid - 2020


Title: Gulf of Mexico SSH Anomaly Grid - 2021


Title: Gulf of Mexico SSH Anomaly Grid - 2022


Title: HFradar TAMU GERG

Summary:
High Frequency (HF) radar in Gulf of Mexico. TAMU data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u (Surface Eastward Sea Water Velocity, m s-1)
v (Surface Northward Sea Water Velocity, m s-1)

Institution: TAMU


Title: HFradar UMiami

Summary:
High Frequency (HF) radar in Gulf of Mexico. UMiami data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u (Surface Eastward Sea Water Velocity, m s-1)
v (Surface Northward Sea Water Velocity, m s-1)

Institution: UMiami


Title: HFradar USF COMPS

Summary:
High Frequency (HF) radar in Gulf of Mexico. University of South Florida (USF) data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u (Surface Eastward Sea Water Velocity, m s-1)
v (Surface Northward Sea Water Velocity, m s-1)

Institution: USF


Title: HFradar USM GenGOOS

Summary:
High Frequency (HF) radar in Gulf of Mexico. USM data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u (Surface Eastward Sea Water Velocity, m s-1)
v (Surface Northward Sea Water Velocity, m s-1)

Institution: USM


Title: 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)

Institution: NOAA NGDC


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


Title: Yucatan 6km Sea Surface Currents

Summary:
Radial Vectors quality controlled using hfradarpy Python toolbox

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)

Institution: The Geochemical and Environmental Research Group, Texas A&M University