GOES-R Series: Real-Time Weather Imagery

What is the GOES-R Series and Why Does It Matter in South America?

The GOES-R Series (Geostationary Operational Environmental Satellite – R Series) is a set of geostationary satellites from NOAA (National Oceanic and Atmospheric Administration of the U.S.) that revolutionized real-time weather observation. The most recent, GOES-19, provides high-resolution imagery every 10 minutes, enabling the detection of severe storms, fires, fog, and other phenomena with unprecedented accuracy. Although operated by the U.S., their coverage spans much of the American continent, including Argentina, Chile, and Uruguay, making them a key tool for risk management and agriculture in the region.

Technical Features of the GOES-R Series

The GOES-R satellites are equipped with the Advanced Baseline Imager (ABI), an instrument that captures images in 16 spectral bands (visible, near-infrared, and thermal infrared). This allows for the distinction of clouds, water vapor, land and sea surface temperature, and aerosols. Spatial resolution is 0.5 to 2 km, depending on the band, and the update frequency is 5 to 15 minutes for the full disk, and 30 to 60 seconds for specific regions (mesoscale mode). Additionally, they carry the Geostationary Lightning Mapper (GLM), which detects lightning in real time, essential for thunderstorm monitoring.

Benefits for the Region

• Severe storm monitoring: The high frequency of images allows tracking the evolution of convective systems, identifying potential hail and strong winds.
• Early fire detection: Infrared bands detect heat sources with high sensitivity.
• Precision agriculture: Imagery helps estimate soil moisture, evapotranspiration, and frost, key inputs for decision-making.
• Volcanic ash alerts: Relevant for aviation and mountainous regions.

How to Access Real-Time Imagery?

There are several platforms and services that offer GOES-19 satellite imagery and other weather data. Below is a list of useful alternatives:

• Contingencias: Displays NOAA GOES-19 satellite imagery and live radar, updated every 10 minutes, plus frost and lightning layers. Available on its official website and iOS and Android apps.
• NOAA STAR: The Center for Satellite Applications and Research portal offers visualizations and raw data from the GOES-R series.
• RAMMB/CIRA Slider: A tool from Colorado State University that allows exploring GOES imagery in high resolution and animations.
• National Meteorological Service (SMN) of Argentina: Publishes satellite imagery and alerts on its website.
• Meteorological Directorate of Chile (DMC): Provides GOES imagery and official forecasts.
• Uruguayan Institute of Meteorology (INUMET): Offers satellite imagery and agroclimatic data.

These sources are complementary and enable detailed monitoring of atmospheric conditions.

Practical Applications in Agriculture and Risk Management

In the agricultural sector, GOES-R imagery allows monitoring crop water stress, planning irrigation, and anticipating frost. For example, thermal infrared brightness temperature helps identify areas at risk of radiative frost, while the vegetation index (NDVI) derived from polar satellites complements the information. In risk management, lightning detection and severe storm tracking are vital for issuing early warnings to rural and urban populations.

Tips for Leveraging Satellite Imagery

• Combine visible imagery (during the day) with infrared (at night) for continuous monitoring.
• Use animations to identify the direction and speed of systems.
• Compare cloud top temperature with severe storm thresholds (e.g., -50 °C or lower).
• Integrate satellite data with local weather stations to validate forecasts.

The Future of Geostationary Observation

The GOES-R series will continue to evolve with new satellites and instrument improvements. For South America, international cooperation and open access to these data are fundamental to strengthening early warning systems. The combination of geostationary satellites with ground-based radars and numerical models will continue to improve forecast accuracy, benefiting agriculture, aviation, and civil protection.