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HYCOM (Hybrid Coordinate Ocean Model) global ocean forecast

HYCOM consortium

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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
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
Jun 23, 2018 at 18:19 UTC 3 hours ago
Update Frequency
1 day
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
Current
End Date
Ongoing

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
m

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
lon
Longitude
degrees_east
reference_time
reference time
microseconds since 1970-01-01 00:00:00
time
Valid Time
microseconds since 1970-01-01 00:00:00
depth
Depth
m
lat
Latitude
degrees_north

LICENSE

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