Juan-Carlos Jusem

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Fronts are significant meteorological phenomena of interest. The extraction of frontal systems from observations and model data can greatly benefit many kinds of research and applications in atmospheric sciences. Due to the huge amount of observational and model data available nowadays, automated extraction of front systems is necessary. This paper presents(More)
[1] Meteorological observing systems are continuously being developed to improve our knowledge of the atmosphere and our forecasting capabilities. Observing System Simulation Experiments (OSSEs) are a general technique to assess a priori the potential impact of future instruments, which is particularly important in the case of spaceborne systems. One(More)
A new set of cross-calibrated, multi-satellite ocean surface wind data sets is introduced. The principal data set covers the global ocean for the period beginning in 1987 with sixhour and 25-km resolution and is produced by combining all ocean surface wind speed observations from SSM/I, AMSR-E, and TMI, and all ocean surface wind vector observations from(More)
One of the important applications of satellite surface wind observations is to increase the accuracy of weather analyses and forecasts. Satellite surface wind data can improve numerical weather prediction (NWP) model forecasts in two ways. (Acronyms are listed in appendix A.) First, these data contribute to improved analyses of the surface wind field, and,(More)
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