Forecasts and Predictions (2024)

Forecast guidance refers to computer-generated output that utilizes environmental forcing equations and observations to assist in the preparation of a forecast. Numerical weather and oceanographic forecast models produce forecast guidance for various oceanographic and atmospheric conditions at both the global and regional scales.

NOAA’s National Centers for Environmental Prediction (NCEP) develops and maintains several weather, ocean, and climate numerical guidance systems. A full list of the operational models run by NCEP can be found on their Numerical Forecast/Analysis Systems webpage. Descriptions of and links to the forecast modeling systems that are useful for navigation can be found below.

Animated precipitation map produced from a run of the Global Forecast System (GFS).

Global Forecast Modeling Systems

GFSwave

The model runs as a coupled component to the NCEP Global Forecast System (GFS) and Global Ensemble Forecast System (GEFS). The NWS/NCEP operational global wave model (WAVEWATCH III) produces forecast guidance for wave height, direction, and period, as well as wind speed and direction, throughout the world’s oceans was replaced by this model. Users can choose between local, regional, and full-basin forecast zones to view the forecast guidance for several wave and wind conditions (e.g., significant wave height; primary swell wave height; peak wave period). The model is run four times each day, and each run produces hourly forecasts out to 120 hours and 3-hour forecasts out to 180 hours.

Global Real-Time Ocean Forecast System (GRTOFS)

The National Weather Service (NWS) Global Real-Time Ocean Forecast System (GRTOFS) provides forecast guidance for water levels, water temperature, salinity, and currents out to 144 hours (6 days) for most of the world’s oceans. The "Nowcast/Forecast Viewer" allows users to visualize the forecast guidance of each condition, and the model data can be downloaded as individual NetCDF files, OpenDAP urls, and regional GRIB2 files. The model has one forecast cycle per day at 0000 UTC, which uses 3-hourly meteorological forecast guidance from the NWS/NCEP Global Forecast System (GFS); each forecast cycle is preceded with a 48-hr long nowcast/data assimilation cycle. The system uses the Hybrid Coordinates Ocean Model (HYCOM), an eddy resolving, hybrid coordinate numerical ocean prediction model; it has a horizontal resolution of 1/12 degree and 32 hybrid vertical layers.

NOAA (NOS) Global Extratropical Surge and Tide Operational Forecast System (Global ESTOFS)

NOAA’s Global Extratropical Surge and Tide Operational Forecast System (Global ESTOFS) provides users with nowcasts (analyses of near present conditions) and forecast guidance of water level conditions for the entire globe. Global ESTOFS serves the marine navigation, weather forecasting, and disaster mitigation user communities. The modeling system is run four times per day, and water level forecast guidance is provided out to 180 hours (nowcast for previous 6 hours followed by 7.5 day forecast). Forecast output includes water levels caused by the combined effects of storm surge and tides, by astronomical tides alone, and by sub-tidal water levels (isolated storm surge). The hydrodynamic model employed by Global ESTOFS is the ADvanced CIRCulation (ADCIRC) finite element model. Global ESTOFS has a coastal horizontal resolution of at least 1.5 km and up to 80 m globally. Global ESTOFS is a collaborative effort led by the NOAA/National Ocean Service (NOS)/Office of Coast Survey along with the NOAA/National Weather Service (NWS)/National Centers for Environmental Prediction (NCEP) Central Operations (NCO), the University of Notre Dame, Argonne National Laboratory, the University of North Carolina, and The Water Institute of the Gulf.

Coastal Forecast Modeling Systems

NOAA (NOS) Operational Oceanographic Forecast Modeling Systems (OFS)

NOAA provides forecast guidance for water levels, water temperature, salinity, and currents to help mariners safely navigate their local waters. The guidance is generated by a national network of numerical oceanographic forecast modeling systems for the next 48 or 120 hours depending on the water body. These forecast modeling systems are usually run four times per day (e.g. 0, 6, 12, and 18 UTC). The systems are implemented in critical ports, harbors, estuaries, Great Lakes and coastal waters of the United States, and form a national backbone of real-time data, tidal predictions, data management and operational modeling.

Depiction of surface currents for part of the New York/New Jersey Harbor, based on the OFS available there (NYOFS).

Nearshore Wave Prediction System

The Nearshore Wave Prediction System (NWPS) provides on-demand, high-resolution nearshore wave model guidance to U.S. coastal WFOs, triggered in real time by forecast wind grids prepared and submitted by the individual offices. Through an interactive map, users can find forecasts for significant wave height, peak period, wave direction, and wind speed out to 6 days for several stations along the U.S. coastline.

Advanced Hydrologic Prediction Service (AHPS)

Advanced Hydrologic Prediction Service (AHPS) is a new and essential component of the NWS’s Climate, Water, and Weather Services. AHPS is a web-based suite of accurate and information-rich forecast products. They display the magnitude and uncertainty of occurrence for floods or droughts, from hours to days and months, in advance. Although AHPS focuses mainly on forecasts of water levels along rivers, it does provide time series plots of observed and predicted water levels at many coastal locations.

Forecasts and Predictions (2024)

FAQs

What is an example of a forecast and a prediction? ›

Forecasting typically focuses on predicting outcomes over a longer time frame, often involving trends and patterns that occur over months, years, or even decades. Predictions can be more short-term and immediate, often used to estimate outcomes in the near future, up to a year.

What predicts and forecasts future outcomes? ›

Forecasting involves making predictions about the future. In finance, forecasting is used by companies to estimate earnings or other data for subsequent periods. Traders and analysts use forecasts in valuation models, to time trades, and to identify trends. Forecasts are often predicated on historical data.

Can forecasting give accurate prediction? ›

While the goal is always 100%, this can easily be seen as far out of reach. It is thus widely suggested that any percentage north of 70% is a good forecast accuracy percentage. However, this benchmark does have certain factors affecting it, such as industry and demand.

How are forecasts predicted? ›

The forecast process is roughly the same regardless of the type of weather. Our scientists thoroughly review current observations using technology such as radar, satellite and data from an assortment of ground-based and airborne instruments to get a complete picture of current conditions.

What is a good example of prediction? ›

Predictions are often written in the form of “if, and, then” statements, as in, “if my hypothesis is true, and I were to do this test, then this is what I will observe.” Following our sparrow example, you could predict that, “If sparrows use grass because it is more abundant, and I compare areas that have more twigs ...

What is a good example of forecasting? ›

Forecasts often include projections showing how one variable affects another over time. For example, a sales forecast may show how much money a business might spend on advertising based on projected sales figures for each quarter of the year.

Is a forecast 100% accurate? ›

Today the accuracy is around 97%. The biggest improvements we've seen are for longer timeframes. By the early 2000s, 5-day forecasts were “highly accurate” and 7-day forecasts are reaching that threshold today. 10-day forecasts aren't quite there yet but are getting better.

What makes a good forecast? ›

A good forecast is one that is usable for your business and accurately reflects your operations and performance. It is not a 100% accurate prediction of the future. So, if you're worried about getting things wrong, then forecasting is for you.

What is the best way to show forecast accuracy? ›

The three most common forecast accuracy methods are forecast bias, the mean absolute standard deviation – MAD – and the mean absolute percent error – MAPE.

What is the easiest way to forecast? ›

The straight-line method is one of the simplest and easy-to-follow forecasting methods. A financial analyst uses historical figures and trends to predict future revenue growth.

What are three way forecasts? ›

Three-way forecasts are granular financial forecasts that are a crucial component of business planning. It's an advanced financial model that shows the financial impact of business decisions in different scenarios.

What is one way to make forecasts more accurate? ›

Understand Key Business Drivers

Much like accurate financial records rely on competent accounting following clear processes, insightful forecasting demands Finance to grasp financial reporting and the underlying metrics. This entails understanding revenue generation, primary sales components and seasonal trends.

What is an example of weather forecasting prediction? ›

For example, if it is sunny and 87 degrees today, the persistence method predicts that it will be sunny and 87 degrees tomorrow. If two inches of rain fell today, the persistence method would predict two inches of rain for tomorrow.

What is an example of a prediction in a sentence? ›

Journalists have begun making predictions about the winner of the coming election. Despite predictions that the store would fail, it has done very well. The figures and statistics are used for the prediction of future economic trends.

What are some applications of forecasting and prediction? ›

It has tons of practical applications including: weather forecasting, climate forecasting, economic forecasting, healthcare forecasting engineering forecasting, finance forecasting, retail forecasting, business forecasting, environmental studies forecasting, social studies forecasting, and more.

What is in sample forecast? ›

In-sample forecasting is a recent continuous modification of well-known forecasting methods based on aggregated data. These aggregated methods are known as age-cohort methods in demography, economics, epidemiology and sociology and as chain ladder in non-life insurance.

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