The wavelet is well known as a decomposition method of a variable or a field to capture structures localized in space or time. Use of the wavelet may now be today considered well established. Yet, the existing applications are mostly limited to graphic presentations, and its capacity based on its orthogonality and completeness is still to be widely appreciated. This talk demonstrates how this basic property of the wavelet can be exploited in atmospheric contexts: the separation of convective and mesoscale convective components, extraction of the westerly wind bursts as "pulses", quantitative precipitation forecasts, and the energy cycle in wavelet space.

Bio: Jun-Ichi Yano graduated from Kyoto University with a PhD on the atmospheric dynamics of the giant planets. His work extends to various subjects including the tropical atmospheric dynamics, convection, microphysics, and boundary layers with various applied mathematical approaches, numerical modeling, and data analyses. He is currently at CNRM, Meteo France, CNRS.