Monday, 13 January 2025: 2:45 PM
222 (New Orleans Ernest N. Morial Convention Center)
The wind structure of organized convection is difficult to understand and model due to its multiscale nature, making global mesoscale wind observation important to fill knowledge gaps. We present a novel wind retrieval method that derives 3D winds profiles with 0.25 deg horizontal resolution water vapor data, specifically by calculating 3D atmospheric motion vectors (AMVs) from tracking water vapor features. The water vapor data are from the overlapped tracks of two low earth orbiting satellites with hyperspectral infrared and microwave sounders, NOAA-20 and Suomi NPP. These 3D AMVs capture dense horizontal wind vertical profiles at mesoscale horizontal resolution, which contrasts with traditional cloud-tracking AMVs that are too sparse horizontally and vertically (at the level of cloud tops) to capture 3D mesoscale phenomena.
This 0.25 deg retrieval became possible due to SIFSAP, a new hyperspectral water vapor product with 14 km horizontal resolution that captures the original resolution of an individual field-of-view (FOV), in contrast with previous hyperspectral water vapor products that aggregate all 3x3 FOVs for the retrieval of a water vapor pixel, coarsening the original 14 km resolution of a FOV. We will present meteorological applications of our 0.25 deg 3D AMV, such as the computation of divergence, vorticity and shear, and compare these 3D AMVs to reanalysis and observations from radiosondes and our recently published 1 deg 3D AMV retrieval (Ouyed et al., 2023). Our findings show the potential for wind observations in next generation satellite systems with microwave and hyperspectral infrared sounders.
REFERENCES
This 0.25 deg retrieval became possible due to SIFSAP, a new hyperspectral water vapor product with 14 km horizontal resolution that captures the original resolution of an individual field-of-view (FOV), in contrast with previous hyperspectral water vapor products that aggregate all 3x3 FOVs for the retrieval of a water vapor pixel, coarsening the original 14 km resolution of a FOV. We will present meteorological applications of our 0.25 deg 3D AMV, such as the computation of divergence, vorticity and shear, and compare these 3D AMVs to reanalysis and observations from radiosondes and our recently published 1 deg 3D AMV retrieval (Ouyed et al., 2023). Our findings show the potential for wind observations in next generation satellite systems with microwave and hyperspectral infrared sounders.
REFERENCES
Ouyed, A., Smith, N., Zeng, X., Galarneau Jr, T., Su, H., & Dixon, R. D. (2023). Global Three‐ Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites. Geophysical Research Letters, 50(7), e2022GL101830.
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