How Are Hurricanes Detected and Tracked?

A hurricane is a powerful tropical cyclone characterized by a low-pressure center, strong winds, and a spiral arrangement of thunderstorms that produce heavy rain. These formidable weather systems cause extensive damage through high winds, torrential rainfall, and devastating storm surge along coastlines. Timely detection and accurate tracking are paramount for safeguarding public safety and allowing communities to prepare. Monitoring these storms relies on an interconnected approach utilizing technologies from space-based sensors to measurements taken directly within the storm’s core.

Remote Sensing from Space

Hurricane detection begins with advanced remote sensing technologies operating from Earth’s orbit. Satellites provide continuous, broad-scale views of the ocean basins where tropical disturbances first form and strengthen. Geostationary Operational Environmental Satellites (GOES) maintain a fixed position relative to the Earth’s surface, providing near-constant imagery of the storm’s evolution. This monitoring tracks the storm’s size, cloud structure, and initial rotation in near real-time, which aids short-term forecasting.

Polar-Orbiting Satellites complement this view by traveling from pole to pole, offering higher resolution images and atmospheric soundings. Although they pass over a specific area less frequently, their instruments penetrate deeper into the atmosphere. They collect detailed measurements of atmospheric temperature and moisture profiles. Data from both satellite types are combined to help meteorologists classify a system as a tropical depression or tropical storm. Sensors detect characteristics like cloud top temperature and the organization of convective bands, which indicate intensification.

Ground-Based and Marine Monitoring

As a storm approaches land, ground-based and marine monitoring assets provide high-resolution, localized data. The coastal network of Doppler radar systems transmits microwave pulses and analyzes the energy scattered back by precipitation particles. This measures both the intensity of precipitation and the movement of particles toward or away from the radar dish, known as radial velocity. This data is processed to estimate the wind field and pinpoint the storm’s exact center as it nears the coast.

A network of ocean-based tools simultaneously provides information on the fundamental ingredients that fuel these systems. Moored weather buoys float on the ocean surface, collecting real-time data on atmospheric pressure, wind speed, and sea surface temperature (SST). Specialized ocean sensors, such as Argo floats, drift freely and cycle vertically through the water column, measuring temperature and salinity down to 2,000 meters. This subsurface data determines the ocean’s heat content, which is a factor in predicting whether a tropical cyclone will rapidly intensify.

Airborne Data Collection

When remote sensing is insufficient for determining a storm’s true intensity, specialized military and government aircraft known as “Hurricane Hunters” fly directly into the storm to collect in-situ data. These aircraft, operated by the Air Force Reserve and the National Oceanic and Atmospheric Administration (NOAA), provide the only direct measurements from within the hurricane’s core. The planes deploy dropsondes, miniature packages equipped with a GPS receiver and sensors. As they descend by parachute, dropsondes transmit a vertical profile of atmospheric temperature, humidity, pressure, and wind speed back to the aircraft.

The Step-Frequency Microwave Radiometer (SFMR), nicknamed “Smurf,” is mounted on the aircraft’s wing. The SFMR measures microwave radiation emitted from sea foam created by high winds on the ocean surface. This provides a continuous, accurate measurement of the surface wind speed and rainfall rate directly below the aircraft. This combination of flight-level, dropsonde, and SFMR data is invaluable for accurately determining the storm’s central pressure and maximum sustained winds, which is the basis for official intensity classification.

Translating Detection into Warnings

The collected data, from satellite imagery to aircraft measurements, is continuously synthesized to create the most accurate forecast possible. This information is ingested into specialized computer models, such as the Global Forecast System (GFS) and the Hurricane Analysis and Forecast System (HAFS). These models use complex physical equations to simulate the atmosphere and ocean, producing projections for the storm’s track, wind field, and intensity. Meteorologists at institutions like the National Hurricane Center (NHC) analyze the outputs from multiple models, blending guidance with observational data and experience to issue the official forecast.

This operational process culminates in the issuing of official public watches and warnings, which formally communicate the threat. A hurricane watch is issued when hurricane conditions (sustained winds of 74 mph or greater) are possible within a specified coastal area, typically within 48 hours. This is upgraded to a hurricane warning when those conditions are expected within 36 hours. This flow of data from detection to prediction allows communities the necessary time to prepare.