National Centers for Environmental Prediction (NCEP) Regional Ocean Forecast System (ROFS) model output from 1997-05 (NCEI Accession 0001521)
The Regional Ocean Forecast System (ROFS) has been developed jointly by the Ocean Modeling Branch of the National Weather Service's Environmental Modeling Center, the National Ocean Service's Coast Survey Development Lab, Princeton University, and Naval Oceanographic Office (NAVOCEANO). ROFS is based on a hydrodynamic, three-dimensional ocean circulation model (Princeton Ocean Model) which simulates temperature, salinity, surface elevation, and currents for a region off the U.S. East Coast from ~30 to 47N and out to 50W. The model is driven at the ocean surface boundary by heat, moisture, and momentum fluxes provided by NCEP's Eta mesoscale atmospheric forecast model. The ocean model is driven along its open (that is, southern and eastern) boundaries by climatological estimates of temperature, salinity, and transport. The spatial resolution of the model varies from approximately 20km offshore to about 10km nearshore. The coastal boundary corresponds to the location of the 10m isobath. In the vertical, an 18-layer sigma (terrain-following) coordinate system is used with at least half the layers concentrated in the upper 100m. Tidal forcing is included in the model.
At 24-hour intervals, Gulf Stream north-wall-location data and satellite altimeter data are assimilated with an OI-based algorithm from Princeton University. Gulf Stream location data are provided by NAVOCEANO and sea surface height anomalies (SSHAs) derived from satellite altimeter data are provided by the NOAA Laboratory for Satellite Altimetry. These data are input for correction of the model's sea surface height field and assimilation into the subsurface temperature and salinity fields using correlation functions statistically derived from the model itself. Gulf Stream location data for the current day and TOPEX data from the prior 10-day orbital cycle, are used in this analysis step, which provides the input fields for the second analysis step.
Sea surface temperature (SST) data from in-situ and satellite observing platforms are assimilated into the updated fields from the first data assimilation step, in a nowcast/data assimilation cycle producing initial conditions for the 48-h forecast. In-situ observations are from fixed and drifting buoys, C-MAN stations, and ships. Remotely sensed observations are MCSST retrievals from the AVHRR sensor onboard the NOAA polar orbiting satellites. Surface atmospheric forcing is obtained from 3-hourly analyses of the NCEP's Eta Data Assimilation System (EDAS).
The forecast cycle generates regional ocean forecasts out to 48 hours. Surface forcing is obtained from the 3-hourly surface fields from NCEP's Eta mesoscale atmospheric prediction model. [This abstract was obtained from the ROFS website at http://polar.wwb.noaa.gov/cofs/Description.html#OM on June 23, 2004.]
At 24-hour intervals, Gulf Stream north-wall-location data and satellite altimeter data are assimilated with an OI-based algorithm from Princeton University. Gulf Stream location data are provided by NAVOCEANO and sea surface height anomalies (SSHAs) derived from satellite altimeter data are provided by the NOAA Laboratory for Satellite Altimetry. These data are input for correction of the model's sea surface height field and assimilation into the subsurface temperature and salinity fields using correlation functions statistically derived from the model itself. Gulf Stream location data for the current day and TOPEX data from the prior 10-day orbital cycle, are used in this analysis step, which provides the input fields for the second analysis step.
Sea surface temperature (SST) data from in-situ and satellite observing platforms are assimilated into the updated fields from the first data assimilation step, in a nowcast/data assimilation cycle producing initial conditions for the 48-h forecast. In-situ observations are from fixed and drifting buoys, C-MAN stations, and ships. Remotely sensed observations are MCSST retrievals from the AVHRR sensor onboard the NOAA polar orbiting satellites. Surface atmospheric forcing is obtained from 3-hourly analyses of the NCEP's Eta Data Assimilation System (EDAS).
The forecast cycle generates regional ocean forecasts out to 48 hours. Surface forcing is obtained from the 3-hourly surface fields from NCEP's Eta mesoscale atmospheric prediction model. [This abstract was obtained from the ROFS website at http://polar.wwb.noaa.gov/cofs/Description.html#OM on June 23, 2004.]
Dataset Citation
- Cite as: US DOC/NOAA/NWS > National Centers for Environmental Prediction (2004). National Centers for Environmental Prediction (NCEP) Regional Ocean Forecast System (ROFS) model output from 1997-05 (NCEI Accession 0001521). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0001521. Accessed [date].
Dataset Identifiers
ISO 19115-2 Metadata
gov.noaa.nodc:0001521
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Ordering Instructions | Contact NCEI for other distribution options and instructions. |
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NOAA National Centers for Environmental Information +1-301-713-3277 NCEI.Info@noaa.gov |
Dataset Point of Contact |
NOAA National Centers for Environmental Information ncei.info@noaa.gov |
Time Period | 1997-05-01 to 1997-05-31 |
Spatial Bounding Box Coordinates |
West: -81
East: -50
South: 27
North: 47
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Data Presentation Form | Digital table - digital representation of facts or figures systematically displayed, especially in columns |
Dataset Progress Status | Complete - production of the data has been completed Historical archive - data has been stored in an offline storage facility |
Data Update Frequency | As needed |
Supplemental Information | The Regional Ocean Forecast System (ROFS) model was previously known as the Coastal Ocean Forecast System (COFS) model. The NODC archives historic model runs on a once-per-month basis which includes restart values on the 1st and 15th day of the month. Please contact NCEP for details about the model and its output. |
Purpose | This dataset is available to the public for a wide variety of uses including scientific research and analysis. |
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Last Modified: 2021-10-15T01:54:15Z
For questions about the information on this page, please email: ncei.info@noaa.gov
For questions about the information on this page, please email: ncei.info@noaa.gov