Dynamical contribution of mean potential vorticity pseudo-observations derived from MetOp/GOME2 ozone data into short-range weather forecast during high precipitation events
作者： Siham Sbii , Mimoun Zazoui , Noureddine Semane
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摘要: Satellites are uniquely capable of providing uniform data coverage globally. Motivated by such capability, this study builds on a previously described methodology that generates numerical weather prediction initial conditions from satellite total column ozone data. The is based two principal steps. Firstly, the studied linear regression between vertical (100hPa-500hPa) Mean Potential Vorticity (MPV) and MetOp/GOME2 (O3) MPV pseudo-observations. Secondly, 3D variational (3D-Var) assimilation method designed to take into account pseudo-observations in addition conventional observations. After successful using 3D-Var approach within Moroccan version ALADIN limited-area model, present aims assess dynamical behavior short-range forecast at upper levels during heavy precipitation events (HPEs). It found offers possibility internally monitor model upper-level dynamics use Water Vapor Satellite images.
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