This report describes the feature calibration and alignment (FCA) methodology and the results of applying FCA to the Navy's COAMPS mesoscale weather forecast system. FCA quantifies different components of error by defining horizontal adjustment fields of displacements and amplifications to be applied to the forecast fields. The adjustment is determined by minimizing an objective function which constrains the distorted forecast field to closely fit the available observations, and ensures that ...
A new cloud analysis model to eventually replace the Real-Time Nephanalysis operating at the Air Force Global Weather Central is being prototyped. This new cloud analysis model will process multisource satellite data, geostationary and polar-orbiting, civilian and military. The output will be used primarily to initialize cloud forecast models but may be used also for climate research and other applications. This report will review the customer requirements for cloud analysis ...
This study describes the development of a vectorized, multiprocessing global spectral model (GSM) with enhanced physical parameterizations. The starting point was the Phillips Laboratory GSM, in its GL90 version, containing an enhanced suite of physical parameterizations. The latitude tasking scheme for multiprocessing the loop over latitude in the calculation of the spectral tendencies and adjusted model variables was implemented, using the general truncation version of the hydrodynamics code. Wavenumber calculations ...
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 ...