Demonstration with Special TCI-15 Datasets of Potential Impacts of New-Generation Satellite Atmospheric Motion Vectors on Navy Regional and Global Models
Sign Up to like & getrecommendations! Published in 2018 at "Weather and Forecasting"
DOI: 10.1175/waf-d-17-0168.1
Abstract: A dynamic initialization assimilation scheme is demonstrated utilizing rapid-scan atmospheric motion vectors (AMVs) at 15-min intervals to simulate the real-time capability that now exists from the new generation of geostationary meteorological satellites. The impacts of… read more here.
Keywords: motion vectors; atmospheric motion; tci datasets; new generation ... See more keywords
Strategies for Assimilating High-Density Atmospheric Motion Vectors into a Regional Tropical Cyclone Forecast Model (HWRF)
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DOI: 10.3390/atmos11060673
Abstract: In recent years, atmospheric numerical modeling frameworks and satellite observing systems have both undergone significant advances. While these developments offer considerable potential for improving forecasts of high-impact weather events such as tropical cyclones (TC), much… read more here.
Keywords: density atmospheric; high density; density; motion vectors ... See more keywords
Using machine learning to model uncertainty for water vapor atmospheric motion vectors
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-14-1941-2021
Abstract: Abstract. Wind-tracking algorithms produce atmospheric motion vectors (AMVs) by tracking clouds or water vapor across spatial–temporal fields. Thorough error characterization of wind-tracking algorithms is critical in properly assimilating AMVs into weather forecast models and climate… read more here.
Keywords: uncertainty; error; machine learning; atmospheric motion ... See more keywords