St. John's River Operational Forecast System (SJROFS)

Effective on May 20, 2020 beginning at 18z Coordinated Universal Time (UTC), two major changes for NOS OFS datasets on THREDDS will be implemented. Please see the Service Change Notice for details

1. Retention period change - Only the most recent 31 days of OFS output files will be available on CO-OPS THREDDS.

2. File structure changes - To improve THREDDS performance related to file access and data aggregation

(Please click on the map pins below to access the time series plots)

On October 1, 2005, NOAA's National Ocean Service (NOS) inaugurated the St. John's River Operational Forecast System (SJROFS). This system provides the maritime community with improved short-term predictions of water levels and currents in St. John's River.

SJROFS is a CO-OPS project aimed at providing improved predictions of water levels and currents in St. John's River. The objective of SJROFS is to produce hourly nowcasts and four times daily forecasts of total water level and current velocity in the River to be used by the commercial and recreational maritime community. SJROFS will provide important benefits to the local maritime community. SJROFS nowcasts and forecasts will provide an increased margin of safety and maximize the efficiency of maritime commerce throughout the Bay. SJROFS became continuously operational on September 30, 2005. SJROFS is a NOS joint project combining the efforts of CO-OPS and CSDL. For more information, click here.

The St. John's River Operational Forecast System (SJROFS) has been implemented by NOAA's National Ocean Service (NOS) to provide the maritime user community with short-term predictions of water levels, water currents, water temperatures and salinity of the St. John's River. SJROFS uses a numerical hydrodynamic model to generate the nowcast and forecast information; therefore, they should be considered as model-generated nowcast and forecast guidance. For more detailed information related to the OFS disclaimer, please visit at the Disclaimers web page.