OPEN DATA

HYCOM (Hybrid Coordinate Ocean Model) global ocean forecast

HYCOM consortium

Downsampled Preview

No variable to display

SUMMARY

Publisher

HYCOM consortium

Source

Forecast

Abstract

The HYCOM consortium is a multi-institutional effort sponsored by the National Ocean Partnership Program NOPP, as part of the U. S. Global Ocean Data Assimilation Experiment GODAE, to develop and evaluate a data-assimilative hybrid isopycnal-sigma-pressure generalized coordinate ocean model called HYbrid Coordinate Ocean Model or HYCOM. The GODAE objectives of three-dimensional depiction of the ocean state at fine resolution in real time, provision of boundary conditions for coastal and regional models, and provision of oceanic boundary conditions for a global coupled ocean-atmosphere prediction model, are being addressed by a partnership of institutions that represent a broad spectrum of the oceanographic community. The partnership members are the Florida State University Center for Ocean-Atmospheric Prediction Studies FSU/COAPS, the University of Miami Rosenstiel School of Marine and Atmospheric Science UM/RSMAS, the Naval Research Laboratory/Stennis Space Center NRL/STENNIS, the Naval Oceanographic Office NAVOCEANO, the Fleet Numerical Meteorology and Oceanography Center FNMOC, the Naval Research Laboratory/Monterey NRL/MONTEREY, the National Oceanographic and Atmospheric Administration/National Centers for Atmospheric Prediction/Marine Modeling and Analysis Branch NOAA/NCEP/MMAB, the NOAA National Ocean Service NOAA/NOS, the NOAA Atlantic Oceanographic and Meteorological Laboratory NOAA/AOML, the NOAA Pacific Marine Environmental Laboratory NOAA/PMEL, Planning Systems Inc., Los Alamos National Laboratory LANL, Service Hydrographique et Océanographique de la Marine SHOM, Laboratoire des Ecoulements Géophysiques et Industriels LEGI, The Open Source Project for a Network Data Access Protocol OPeNDAP, the University of North Carolina UNC, Rutgers University, the University of South Florida USF, Fugro-GEOS/Ocean Numerics, Horizon Marine Inc., Roffer's Ocean Fishing Forecasting Service Inc. ROFFS, Orbimage, Shell Oil Company, ExxonMobil Corp., the NOAA/National Weather Service/Tropical Prediction Center NOAA/NWS/TPC, the NOAA/National Weather Service/Ocean Prediction Center NOAA/NWS/OPC, the University of Michigan, and the University of the Virgin Islands UVI. The academic, governmental, and commercial entities involved in the partnership have long histories of supporting and carrying out a wide range of oceanographic and ocean prediction-related research. All institutions are committed to developing and demonstrating the performance and application of eddy-resolving, real-time global, Atlantic, and Pacific ocean prediction systems using the HYbrid Coordinate Ocean Model HYCOM, a data-assimilative hybrid isopycnal-sigma-pressure generalized coordinate ocean model. The prediction systems will be transitioned for operational use by the U.S. Navy at the Naval Oceanographic Office NAVOCEANO, Stennis Space Center, MS, and at the Fleet Numerical Meteorology and Oceanography Centre FNMOC, Monterey, CA, and by NOAA at the National Centers for Environmental Prediction NCEP, Washington, D.C. The systems will run efficiently on a variety of massively parallel computers and will include sophisticated data assimilation techniques for assimilation of satellite altimeter sea surface height and sea surface temperature as well as in situ temperature, salinity, and float displacement. The partners intend to make results available to the GODAE modeling community and to general users on a 24/7 basis via a comprehensive data management strategy. This collaborative partnership provides the means to leverage and accelerate the efforts of existing and planned projects, as well as new opportunities for collaboration and cooperation among the partners ranging from research to the operational level. The anticipated results of this effort include integrated analyses/reanalyses for research programs, a foundation for model enhancement based on testing of hypotheses, synthesis of remotely sensed and in situ data, and inputs to coastal, regional, atmospheric, and ice prediction systems. Improved open-ocean nowcasts and forecasts will be applied to search and rescue operations, shipping routes, tracking of icebergs and major pollutants, commercial fisheries, etc. [More...]

Description

Note that this dataset has been retired from the source. You can find new version of Hycom dataset here: https://data.planetos.com/datasets/hycom_glby0.08_93.0_global.

We have made an example, where we use HYCOM data from our Datahub, go and get it from our GitHub: https://github.com/planet-os/notebooks/blob/master/api-examples/hycom-api.ipynb Another examples shows how to compare different models and make some graphs: https://github.com/planet-os/notebooks/blob/master/api-examples/model-comparisons.ipynb

Refreshed

Nov 20, 2018 at 14:33 UTC 2 years ago

Update Frequency

Not Applicable

Product Type

Forecast

Feature Type

GRID

Spatial Reference System

WGS84

Temporal Resolution

3 hours

Spatial Resolution

0.083 degrees

EXTENT

Vertical

40 levels from surface to 5000 m below the surface

Start Date

Nov 18, 2018 at 00:00 UTC

End Date

Nov 23, 2018 at 06:00 UTC

DISTRIBUTION

Distribution Format(s)

thredds, ftp

Online Resource(s)

http://hycom.org/

VARIABLES (5)

Vocabulary (version) CF 28.0

Variable

Long name

Unit

API Query

salinity

Salinity

psu

JSON

CSV

surf_el

Water Surface Elevation

JSON

CSV

water_v

Northward Water Velocity

m/s

JSON

CSV

water_temp

Water Temperature

degC

JSON

CSV

water_u

Eastward Water Velocity

m/s

JSON

CSV

DIMENSIONS (5)

Vocabulary (version) CF 28.0

Dimension

Long name

Unit

time

Valid Time

hours since 2000-01-01 00:00:00

lon

Longitude

degrees_east

depth

Depth

reference_time

reference time

hours since 2018-11-20 00:00:00

lat

Latitude

degrees_north

LICENSE

Open

HYCOM (Hybrid Coordinate Ocean Model) global ocean forecast

No data available

No data available

SUMMARY

EXTENT

DISTRIBUTION

VARIABLES (5)

DIMENSIONS (5)

LICENSE