Hurricane Tracking Models and Maps – Following Storms Live

Hurricane season in the Atlantic brings powerful storms that can wreak havoc on coastal communities. As a hurricane approaches land, having access to the latest tracking models and maps is crucial for monitoring the storm’s path and intensity. This comprehensive guide examines the various hurricane tracking tools available for following storms live and preparing for potential impacts.

Overview of Hurricane Tracking Technology

Hurricane forecasting has advanced significantly over the past few decades thanks to improvements in tracking technology. Meteorologists now have a variety of tools and models for observing storms and predicting their movements.

Hurricane Tracking Methods

  • Reconnaissance Aircraft: Specially equipped planes fly into the storm to directly measure wind, pressure, and moisture data. This provides detailed inside information for forecasts.
  • Weather Satellites: Geostationary and polar orbiting satellites monitor hurricanes using advanced imagery and instrumentation. This offers regular updates on location and strength.
  • Ocean Buoys: An array of buoys across the tropical oceans measure pressure, wind speed, temperature, and wave height data to detect storm development.
  • Doppler Radar: Land-based and hurricane hunter radars provide high-resolution monitoring of precipitation and winds to pinpoint the hurricane’s structure.
  • Computer Modeling: Sophisticated computer simulations crunch data on atmospheric and oceanic conditions to produce forecast guidance on the storm’s path and intensity.

Key Players in Hurricane Forecasting

  • National Hurricane Center (NHC): Lead authority for hurricane forecasts and warnings in North America. Provides official storm advisories and major model interpretations.
  • Central Pacific Hurricane Center (CPHC): Sister agency to the NHC that issues forecasts for the Central and Eastern Pacific basins.
  • Joint Typhoon Warning Center (JTWC): Specialized center tracking typhoons in the Northwest Pacific and South Pacific basins.
  • National Oceanic and Atmospheric Administration (NOAA): U.S. government agency encompassing the NHC, CPHC, and other weather services. Runs several forecast models.
  • U.S. Air Force Reserve: Operates specially equipped hurricane hunter aircraft that collect vital storm data for forecasts.
  • The Weather Company: Private weather forecaster that runs hurricane models and provides in-depth storm analysis. Owns The Weather Channel.

Hurricane Forecast Models

Computer forecast models are essential tools for predicting a tropical cyclone’s path, intensity, and impacts. There are two main types – dynamical and statistical:

Dynamical Models

These complex computer programs use meteorological data to simulate the physical atmosphere. They output a projected storm track and intensity based on current conditions.

Major Dynamical Models:

  • GFS: NOAA’s primary global forecast model, runs 4 times per day out to 16 days. Lower resolution but a reliable outlook.
  • ECMWF: Sophisticated European global model, runs 2 times per day out to 15 days. Very accurate for track forecasts.
  • HWRF: NOAA hurricane-specific model using advanced analytics. Primarily for intensity forecasts. Runs 4 times per day out to 5 days.
  • HMON: Experimental NOAA model incorporating ocean coupling for better intensity accuracy. Runs 4 times per day out to 5 days.
  • ICON: Next-generation NOAA model with improved hurricane physics and frequent updates. Limited track and intensity guidance.
  • UKMET: United Kingdom’s global model, runs 2 times per day out to 7 days. Provides an alternate scenario.

Statistical Models

These blend historical hurricane data with persistent environmental factors to estimate a storm’s future behavior:

Major Statistical Models:

  • CLP5: NHC model using climatology and persistence to predict track and intensity changes out to 5 days.
  • DSHP: Decay-SHIPS model forecasts intensity and structure changes using climatology, persistence, and vertical wind shear.
  • LGEM: Long-range early model uses analogs, climatology, and ocean coupling to provide outlooks beyond 5 days.
  • FSSE: Flux-SST model incorporates sea surface temperatures for extended-range intensity and structure guidance.
  • CHAFF: New NHC model analyzes climatology, persistence, and analog storms for improved long-range forecasts.

Interpreting Hurricane Model Data

Meteorologists examine output from multiple models to reach a consensus forecast. Here are some tips for analyzing model guidance yourself:

  • Compare model track forecasts to see if they converge on a similar path or diverge in different directions.
  • Watch for model consistency run-to-run to determine forecast confidence. Shifting or erratic paths indicate low confidence.
  • Give greater weight to models known for their accuracy, such as the ECMWF for track and HWRF for intensity.
  • Be skeptical of extremes in model data. Outlier solutions likely reflect individual model errors.
  • View the forecast cone graphic rather than focusing on the skinny black line showing the model track.
  • Remember that accuracy declines sharply beyond 3-5 days as small errors compound. Focus on the short-term outlook.
  • Expect greater run-to-run changes further out in the forecast as models struggle with low confidence projections.
  • Examine ensemble models rather than deterministic runs to account for uncertainties in storm evolution.

Hurricane Forecast Graphics and Maps

Visual map products provide critical storm information at a glance. Many of these graphics overlay model data on geographical maps.

Spaghetti Models

This map shows individual computer model forecasts for a storm as strands curving across the ocean:

Spaghetti model hurricane forecast tracks
  • Displays outcome from many models on one map for comparison.
  • Clustering indicates higher confidence, scattered tracks indicate uncertainty.
  • Color-coding helps match paths to specific models.

Cone of Uncertainty

The NHC draws areas showing the probable track of the storm center:

Hurricane forecast cone of uncertainty
  • Center line shows the average forecast position.
  • Cone width reflects typical NHC track errors over previous 5 years.
  • New cone issued every 12 hours with updated path.

Wind Speed Probabilities

This graphic highlights coastal areas at risk for tropical storm force winds:

Hurricane wind speed probability forecast map
  • Provides likelihood of sustained 34+ mph winds during the forecast period.
  • Indicates which communities may see storm impacts based on the official NHC track.
  • Revised twice per day when new advisories are released.

Key Messages

The NHC includes explicit details on the major threats and most likely storm effects:

Hurricane key messages forecast summary
  • Succinctly summarizes the expected storm hazards for quick reference.
  • Provides clear, actionable guidance to the public.
  • Typically highlights risk periods for winds, surge, flooding rain, and tornadoes.

Monitoring Hurricane Models Live Online

The internet provides many ways to follow the latest model forecast trends during an active storm:

  • National Hurricane Center: Official public and marine forecasts
  • Tropical Tidbits: In-depth model, satellite, and radar analysis from expert Dr. Levi Cowan
  • Weather Underground: Hurricane tracker displays spaghetti models, the cone, and meteorologist blog updates
  • AccuWeather: Real-time forecast maps along with breaking news and videos
  • The Weather Channel: Hurricane tools, expert analysis, and model forecast animations
  • Windy: Interactive weather viewer shows model overlays, radar, and tropical sat
  • Mike’s Weather Page: Model chart archive lets you inspect previous model runs
  • HurricaneTrack: App and site offer model analysis, recon data, and storm chaser updates

Putting Models in Perspective

While hurricane forecasting accuracy keeps improving, factors like observational errors, model physics limitations, and storm structure changes can still produce uncertainty. Keeping some key points in mind helps apply model data most effectively:

  • No single model is always right or wrong. Having an ensemble of guidance is important.
  • The shorter the time frame of the forecast, the more accurate model projections tend to be.
  • Statistical models provide a baseline for forecast trends based on historical data.
  • Consistency between dynamical models boosts confidence in the predicted path and intensity.
  • If models diverge significantly, lower confidence exists in the exact storm track and development.
  • Models are just guidance tools. Experienced forecasters provide vital interpretation and local expertise.

Frequently Asked Questions

Which hurricane model is the most accurate?

The European ECMWF model is generally the consensus leader for track forecasts, while the specialized HWRF model leads for storm intensity and structure. No model is superior across the board.

How far out can hurricane models reliably predict path and impact?

Most models provide fairly accurate forecasts within 2-3 days. Beyond 4-5 days, errors tend to compound significantly. The cone of uncertainty widens dramatically the farther out the projection.

Why do hurricane models change so much run to run?

Frequent changes in model guidance several days out reflects the inherent uncertainty in how small errors amplify over time. Closer to storm impact, shifts indicate updated observations or changes in environmental conditions.

How are hurricane models initialized?

Models ingest a vast array of real-time weather observations, including data collected directly in the tropical cyclone by recon aircraft. More accurate initial analyses yield better short-term forecasts.

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Do forecasters always follow what the models say?

Forecasters use models as important guidance tools, but do not blindly follow them. Their expertise is critical for weighing different scenarios, adjusting bias issues, and accounting for model limitations.

Why do forecast models struggle with predicting hurricane intensity?

The complex inner core processes that drive rapid strengthening and weakening are not yet fully understood and are difficult to model. More research is focused on better handling intensity changes.

What new technology is improving hurricane forecast models?

Increased supercomputing power, higher resolution, improved satellite data assimilation, better physics representations, and enhanced observational networks are some areas advancing models.

How can I view archived hurricane model forecasts for past storms?

The NHC and other weather sites keep model archive databases that allow recreating past model guidance. This is useful for assessing model performance over previous seasons.

Conclusion

Tracking the ever-changing path of an approaching hurricane requires frequent updates from sophisticated forecast models and experienced meteorologists. While uncertainty always exists when predicting complex storms days in advance, the array of guidance tools now available provides coastal residents critical time to prepare as a system nears landfall. Continued improvements in observing technologies, computer power, and understanding of tropical cyclones will further enhance storm forecasting and communication to keep communities safe when the next hurricane threatens.

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