![]() Probability of Visibility Less than 1 Nautical Mile Forecast: These visibility along-channel cross-sections and map-view North American Model (NAM4), Extra Tropical Storm Surge (ETSS) model and Global Operational Real-Time Ocean Forecast System (RTOFS). The complete forecast is for the next 48 hours of currents as simulated by TBOFS whose input is from the National Weather Service's 4km The complete forecast is for the next 48 hours of the water levels as simulated by TBOFS whose input is from the National Weather Service's 4km NorthĪmerican Model (NAM4) and Global operational Real-Time Ocean Forecast System (RTOFS).Ĭurrents Forecast Guidance: These near surface current velocity graphics were created from the latest TBOFS forecast guidance in Water Level Forecast Guidance: These water level graphics were created from the latest TBOFS forecast guidance in the Tampa Bay. Produced in AWIPS, the operational WAVEWATCH III model, the Real-Time Ocean Forecast System (RTOFS-Global), the Extratropical Surge and Tide Operational Forecast System (ESTOFS), and/or the probabilistic model P-SURGE. Input to NWPS is from forecaster-developed wind grids ![]() there is a single value forecasted for each 1-hour interval). Significant Wave Height and Wave Period Forecast: These significant wave height along-channelĬross-sections and wave period map-view graphics were created from the latest NOAA/NWS Nearshore Wave Prediction System (NWPS ) NDFD contains a seamless mosaic of digital forecasts from NWS field offices working in collaboration with the NationalĬenters for Environmental Prediction (NCEP). The NDFD consists of gridded forecasts of sensible weather elements (e.g., cloud cover, maximum National Digital Forecast Database (NDFD ) The platform is a prognostic tool that will lead to more co-ordinated and timely responses to high-visibility events for the recreational, commercial, scientific, and military diving communities and improve advanced activity planning for all ocean activities.ĭiveViz is working to use predictive analytics and machine learning to address the numerous influences that must be accounted for in visibility forecasting, including physical factors like currents, wind, waves, storm patterns, near-shore rainfall, upwelling strength, and thermohaline circulation, as well as biological factors including algae blooms, nutrient inputs, and human activity, but without any historic ocean visibility data researchers cannot begin this analysis.ĭiveViz will be engaging with the recreational diving community to crowdsource the first dataset of visibility reports and, in collaboration with the Scripps Institute of Oceanography, begin refining the forecasting algorithm.Probability of Precipitation Forecast: These probability of precipitation along-channel cross-sections were created from the latest NOAA/NWS The goal of the DiveViz team is to provide the most-accurate representation of what a dive site would be like, before having to enter the water, therefore ensuring that the millions of scuba divers and snorkellers know when to plan their dives for the most-enjoyable experience and highest safety.ĭiveViz is an app and algorithm to communicate accurate real-time and forecasted ocean visibility reports. The DiveViz App is now live on both Apple and Android – head to your App Store and search ‘DiveViz' or click on ‘get the app' from the website. Innovative new DiveViz App seeks to bring consistent and accurate ocean visibility reports and forecasts.
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