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Measuring wind speed is of major importance to understanding weather patterns at both local and global scales. Wind speed measurements are important in identifying and tracking dangerous weather events like hurricanes and tornadoes. They also impact air quality modeling, by affecting the dispersal of pollutants and other materials through the atmosphere. 

NASA maintains long-term records of global wind speeds, like the Modern-Erea Retrospective Analysis for Research and Applications version 2 (MERRA-2 land surface forcings dataset). The Cyclone Global Navigation Satellite System (CYGNSS) is a fleet of eight micro-satellites that measure wind speeds over the ocean by studying surface roughness using Doppler radar.

Missions like these provide wind speed measurements that can help communities better predict and prepare for extreme weather, or forecast the impact of air quality events like wildfires and volcanoes. It’s also important for atmospheric models that illuminate long-term patterns in global weather and climate.  

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Remote video URL

Animation of the retrieved ocean surface wind speed over the period of Aug. 1, 2018, to Feb. 20, 2024, produced using the Cyclone Global Navigation Satellite System (CYGNSS) Level 3 Science Data Record (SDR) Version 3.2 dataset, which provides wind speed data retrieved from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation.

Learn How to Use Wind Speed Data

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HIWRAP instrument data
Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP)
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HS3 HIWRAP Radar Reflectivity Profile Quick View
Learn how to generate a time-height plot of the measured Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) radar reflectivity through a Python plotting routine.
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Use the Storm Services REST Interface
Users can access information about tropical storms through a representational state transfer (REST) interface provided by NASA’s Global Hydrometeorology Resource Center Distributed Active Archive Center (GHRC DAAC).
CPL instrument data
HS3 CPL Attenuated Total Backscatter Quick View
This data recipe instructs users on how to generate vertical time-height plots of Hurricane and Severe Storm Sentinel (HS3) Global Hawk Cloud Physics Lidar (CPL) attenuated total backscatter measurements using a Python plotting routine.

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