Atmospheric motion vectors (AMV)
Derives horizontal wind vectors by tracking cloud and water-vapour features across consecutive visible, infrared, or water-vapour imager scenes, then assigning vector height and quality metadata for NWP and atmospheric-wind analysis.
Atmospheric motion vectors are used to estimate horizontal winds by tracking cloud or water-vapor tracers across consecutive calibrated and navigated satellite imager scenes.[1][2][3]
The method is an analysis layer on top of visible, infrared, or water-vapor radiance imagery. Operational processing selects trackable targets, matches them between image times, assigns a representative vector height, and applies quality indicators before the wind field is used in atmospheric analysis or numerical weather prediction.[1][4]
The requirements envelope is temporal rather than hardware-bound: at least two time-ordered, well-navigated imager scenes are needed, and the scene pair must contain cloud or water-vapor structure that can be followed. If the tracer cannot be tracked or assigned a usable height, the methodology does not produce a dependable vector for that location.[1]
Operational AMV production is not limited to one orbit class. Meteosat Second Generation provides a geostationary AMV implementation, while Metop AVHRR provides a polar-orbiting global implementation.[5][6]
Because AMV depends on image sequences rather than a dedicated wind sensor, it is best treated as an analysis technique that consumes imager radiance products and returns speed, direction, representative height, and quality metadata.[1]
operational cloud and water-vapour feature-tracking wind source
No implementations recorded yet.
- [1]AVHRR L2 Wind product ATBDagency doc2016-03-022026-06-14Describes AMV derivation from Metop AVHRR imaging observations, including cloud/water-vapour target tracking, height assignment, quality control, and geostationary/polar-orbiting coverage context.
- [2]Atmospheric Motion Vectors: Past, Present and Futureagency doc-2026-06-14ECMWF seminar paper covering AMV derivation by tracking cloud or water-vapour features through consecutive satellite imagery and their NWP use.
- [3]Tracking atmospheric motions for obtaining wind estimates using satellite observationspeer reviewed2025-02-012026-06-14Modern overview of satellite feature tracking for wind estimates and evolution from 2D AMVs toward 3D wind information.
- [4]High Density Windsagency doc-2026-06-14Operational satellite-derived winds page describing AMV generation from GOES/POES imagers by following cloud and water-vapour tracers in image sequences.
- [5]Atmospheric Motion Vectors - MSG - 0 degreeagency doc-2026-06-14Operational Meteosat Second Generation AMV data-product catalogue endpoint.
- [6]AVHRR Atmospheric Motion Vectors - Metop - Globalagency doc-2026-06-14Operational Metop AVHRR AMV data-product catalogue endpoint.
Edited from public sources. Last reviewed date pending by SpectraWorks editorial. See the data dictionary for field definitions.