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Output fields from the NOAA Atlantic Real-Time Ocean Forecast System (RTOFS) for 2010-12-01 to 2010-12-31 (NODC Accession 0071063)

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Release Date
27 September 2015
Modified Date
27 September 2015
Update Frequency
asNeeded
Publishers
National Oceanic and Atmospheric Administration, Department of Commerce
Identifier
output-fields-from-the-noaa-atlantic-real-time-ocean-forecast-system-rtofs-for-2010-12-01-to-20
Landing Page
http://catalog.data.gov/dataset/output-fields-from-the-noaa-atlantic-real-time-ocean-forecast-system-rtofs-for-2010-12-01-to-20
Temporal Coverage
1 December 2010 — 31 December 2010
Language
eng

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Description

The NOAA Atlantic Real-Time Ocean Forecast System (RTOFS) dataset comprises output fields from the daily operational RTOFS model runs conducted at the National Centers for Atmospheric Prediction. Each model run produces a series of gridded fields containing results of model computations for ocean temperature, salinity, currents, sea-surface height, and possibly other properties. The fields are encoded in the standard GRIdded Binary (GRIB) file format. NODC compiles a series of files into monthly accessions to facilitate archival storage and public access. Two different sets of output fields are included: 1) daily 3-dimensional fields reported on the model's native hybrid (isopycnal plus z-level) vertical coordinates (note: prior to June 6, 2007, these fields are interpolated to z-levels); and 2) hourly fields reported for the surface level only. Each daily model run produces a 24-hr hindcast as well as forecasts out to 120 hours.

Informazioni generali

Informazioni legali

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.

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