Abstract: Yoshikazu Sasaki developed a variational method of data assimilation, a cornerstone of modern-day analysis and prediction in meteorology. Fundamentally, he formulated data assimilation as a constrained minimization problem ...

Abstract: data assimilation strategy based on feedback control has been developed for the geophysical sciences?a strategy that uses model output to control the behavior of the dynamical system. Whereas optimal tracking through ...

Abstract: The goal of this paper is to provide a complete picture of the long-term behavior of Lorenz?s maximum simplification equations along with the corresponding meteorological interpretation for all initial conditions and all ...

Abstract: An ensemble of 48-h forecasts from 23 cases during the months of July and August 2002, which was created as part of a National Oceanic and Atmospheric Administration pilot program on temperature and air quality forecasting, ...

Abstract: Short-range ensemble forecasts from the Storm and Mesoscale Ensemble Experiment (SAMEX) are examined to explore the importance of model diversity in short-range ensemble forecasting systems. Two basic techniques from ...

Abstract: Over the decades the role of observations in building and/or improving the fidelity of a model to a phenomenon is well documented in the meteorological literature. More recently adaptive/targeted observations have been ...

Abstract: An automated procedure for classifying rainfall systems (meso-α scale and larger) was developed using an operational analysis of hourly precipitation estimates from radar and rain gauge data. The development process followed ...

Abstract: The NOAA NWS announced at the annual meeting of the American Meteorological Society in February 2003 its intent to create an Internet-based pseudo-operational system for delivering Weather Surveillance Radar-1988 Doppler ...

Abstract: No Abstract available.