Hindcasting the January 2009 Arctic Sudden Stratospheric Warming with Unified Parameterization of Orographic Drag in NOGAPS. Part II: Short-Range Data-Assimilated Forecast and the Impacts of Calibrated Radiance Bias Correction

摘要: AbstractThis study is Part II of the effort to improve forecasting sudden stratospheric warming (SSW) events by using a version Navy Operational Global Atmospheric Prediction System (NOGAPS) that covers full stratosphere. In I, extended-range (3 week) hindcast experiments (without data assimilation) for January 2009 Arctic major SSW were performed NOGAPS with unified orographic drag parameterization consists schemes employed Webster et al., as well Kim and Arakawa Doyle. I demonstrated model upgraded middle-atmospheric physics better forecasts magnitude evolution simulates trend Oscillation (AO) index. this (Part II), series 5-day cycling assimilation Naval Research Laboratory Variational Data Assimilation System-Accelerated Representer (NAVDAS-AR), four-dimensional variational d...