Advances in Mesoscale Numerical Weather Prediction and Its Applications (2nd Volume)

Dear Colleagues,

Our first volume of Special Issue “Advances in Mesoscale Numerical Weather Prediction and its Applications” was quite a successful undertaking and became popular not only for authors but for our readers as well. It is for this reason that we have decided to launch a second volume intending to collect contributions that report advancements and the current state of the mesoscale numerical weather prediction models including air-sea-land coupled models, forecast skill improvements, the impact of physical parameterizations on forecasts, boundary layer processes modeling, as well as applications of data assimilation techniques, nowcasting methods, hydrometeorological applications etc.

Advances in computer science and information technology facilitates continuing progress in mesoscale numerical weather prediction (NWP) for both research and operational forecasting purposes. Nowadays, mesoscale NWP models are essential for a broad spectrum of applications ranging from driving other numerical models (related to, e.g., ocean, hydrology, and air quality) and downscaling climate simulations to providing forecasts for renewable energy and hydrological purposes.

This Special Issue aims to shed new light on interdisciplinary applications of mesoscale NWPs to reveal weather-related physical processes as well as to mitigate the consequences of high-impact weather events. Therefore, this Special Issue intends to collect contributions that report advancements and the current state of mesoscale NWP models, including forecast skill improvements, the impact of physical parameterizations on forecasts, the validation and intercomparison of forecasts, as well as applications of data assimilation techniques and nowcasting methods. Furthermore, this Special Issue welcomes numerical experiments and case studies regarding strategies designed to couple mesoscale NWP models with hydrological, ocean, wave, and chemical models to improve our understanding of the mesoscale physical and dynamical processes that can trigger natural hazards. Methodological approaches and applications exploiting this knowledge to advance analyses and forecasts as well as to tailor them for the design and refinement of early warning systems and decision support services are of particular interest.

Dr. Anastasios Papadopoulos
Dr. George Varlas
Guest Editors

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