作者: David A. Santek
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摘要: For the past few decades, Atmospheric Motion Vectors (AMV) have been primarily derived from a time-sequence of images geostationary satellites. More recently, this algorithm has applied to data polar orbiting satellites and these AMVs are now routinely input into many operational global models. The technique is based on satellite winds algorithm, using MODIS Terra Aqua Three successive passes over poles (Figure 2) used. Targeting Clouds in IR window channel 11 μm Water vapor features 6.7 Tracking Cross-correlation GFS 6, 9, 12-hour forecast grids as first guess Image triplets (rather than pairs) used for consistency check Wind height assignment or H2 O-intercept temperature profile forecasts GFS. Global Impact Satellite-Derived Polar Winds Model Forecasts