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The procedures and results of a study undertaken to evaluate and assess the impacts of three new parameterization schemes for the GL global spectral model as a 3-4 day range forecast model are described. The tree parameterization schemes are one each for the boundary-layer physics, moist convection and heating due to solar and terrestrial radiations. These schemes are incorporated either singly or jointly into a rhomboidal-30, 12-layer global spectral model for four-day simulations using FGGE III- a data as input. Evaluation and assessment are made on the basis of two kinds of global statistics: mean and root-mean-square errors, and on their magnitudes and distributions. The statistics are g...
"We have developed a thunderstorm prediction technique for use with a mesoscale model to satisfy Air Force Weather's Theater Battle Management (TBM) stated requirement for maximum cloud tops and coverage. The prediction technique is to be implemented in the Global Theater/Weather Analysis and Prediction system (GTWAPS). A perfect-prog approach was implemented using synoptic and subsynoptic-scale data for diagnosis and short-range probability forecasts. Future work is discussed, including, most importantly, follow-on testing and refinements of the techniques." -- Report documentation page.
Dynamic normal mode initialization (DNI) is applied to low and high resolution versions of the AFGL global spectral mode. This scheme is tested against the operational nonlinear normal mode initialization (NMI) procedure using both adiabatic and diabatic forms of the model tendencies. The DNI-based forecasts are comparable in accuracy to the NMI-based forecasts, with small differences between the adiabatic and diabatic versions of each. DNI initial conditions were somewhat more damped in the divergence fields than were the NMI fields. This is believed to be due to the frequency response characteristics of the DNI's forward-backward time scheme, which tended to partially damp resolvable wavelengths.