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.

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 forecasting and prediction? ›

Forecasting involves estimating future events or trends based on historical and statistical data. Predictions make educated guesses or projections without relying on historical data or statistical methods. Forecasting predicts outcomes over a longer time frame, often over months, years, or even decades.

Can forecasting give accurate prediction? ›

The further into the future you forecast, the less accurate it will be. Typically, forecasts are calculated several months into the future and then updated weekly. So, for a given week, you usually calculate multiple forecasts over time, meaning you have several different forecasts with different time lags.

How accurate are forecast predictions? ›

The accuracy of weather predictions tends to decrease as the forecast period extends. The success rate for one-day forecasts is about 96-98%. It drops to about 90% for three-day forecasts. The more days in advance the forecast, the more likely it is that the weather will change.

What is the best way to measure forecast accuracy? ›

The mean absolute percentage error (MAPE) measures the average of forecast errors in percentages. It's a helpful accuracy metric to use because many people can understand forecast accuracy in terms of percentages. For example, a MAPE of 3% means there was a 3% difference between the actual and projected data.

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.

What is a forecast short answer? ›

A forecast is a prediction made by studying historical data and past patterns. Businesses use software tools and systems to analyze large amounts of data collected over a long period.

How reliable is the forecast? ›

A seven-day forecast can accurately predict the weather about 80 percent of the time and a five-day forecast can accurately predict the weather approximately 90 percent of the time. However, a 10-day—or longer—forecast is only right about half the time.

Is it possible to predict the future? ›

It's almost impossible to predict actual events that will take place in the future. For example, who could have predicted that a global pandemic would be a reality? Or the rise of electric vehicles, cryptocurrencies or working-from-home would eventuate?

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.

Who has the most accurate forecast? ›

Powered by proprietary GRAF technology (Global High-Resolution Atmospheric Forecasting), The Weather Company is The World's Most Accurate Forecaster1 and a trusted weather partner for people and businesses everywhere.

How do you make an accurate forecast? ›

Create Realistic, Accurate Forecasts
  1. Begin With Your Baseline. Accurate forecasting is built on an accurate base. ...
  2. Focus On Key Factors. When forecasting, focus on the most meaningful data.
  3. Build From the Bottom Up. When making forecasts, you could work from the top down or the bottom up. ...
  4. Use Good Tools and Be Thorough.

What does 40 chance of rain mean? ›

If a forecast for a given county says that there is a 40% chance of rain this afternoon, then there is a 40% chance of rain at any point in the county from noon to 6 p.m. local time. This point probability of precipitation is predetermined and arrived at by the forecaster by.

What is the best chart to show forecast accuracy? ›

The run chart of truth: A very popular way to display the forecast error is to visualize the percentage error in a bar chart (a so-called run chart). This is a great way to very easily spot problem areas and trends. Also, we can easily compare different organizational units.

What are the three popular measures of forecast accuracy? ›

LO 4.4 Three popular measures of forecast accuracy are: a) total error, average error, and mean error.

Can forecast accuracy be more than 100%? ›

Regardless of huge errors, and errors much higher than 100% of the Actuals or Forecast, we interpret accuracy a number between 0% and 100%. Either a forecast is perfect or relative accurate or inaccurate or just plain incorrect. So we constrain Accuracy to be between 0 and 100%.

What is forecasting in simple terms? ›

What is Forecasting? Forecasting refers to the practice of predicting what will happen in the future by taking into consideration events in the past and present. Basically, it is a decision-making tool that helps businesses cope with the impact of the future's uncertainty by examining historical data and trends.

What is the difference between predictive and forecasting model? ›

In a nutshell, forecasting and predictive analytics are valuable approaches in data science. However, their difference in approaches leads to different timeframes. Forecasting is better for coming up with long-term plans for the distant future, while predictive is more helpful for taking quick actions.

What best defines forecasting? ›

Forecasting is the process of making predictions based on past and present data. Later these can be compared (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.

What is another word for prediction or forecast? ›

Some common synonyms of predict are forecast, foretell, prognosticate, and prophesy.

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