Transforming the sensing and numerical prediction of high-impact local weather through dynamic adaptation

• Published in: Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Vol. 367; no. 1890; pp. 885 - 904
• Main Author: Droegemeier, Kelvin K
• Format: Journal Article
• Language: English
• Published: London The Royal Society 13.03.2009
• Subjects: Analytical forecasting; Atmospheric models; Atmospherics; Computer Simulation; Cyberinfrastructure; Data Assimilation; Dynamically Adaptive; Ecology - methods; Ecology - trends; Environmental Monitoring - instrumentation; Environmental Monitoring - methods; Forecasting models; Internet; Mesoscale Weather; Meteorology; Meteorology - instrumentation; Meteorology - methods; Modeling; Models, Theoretical; Numerical weather forecasting; On-Demand; Preprints; Service-Oriented Architecture; Software; Weather; Weather forecasting

Mesoscale weather, such as convective systems, intense local rainfall resulting in flash floods and lake effect snows, frequently is characterized by unpredictable rapid onset and evolution, heterogeneity and spatial and temporal intermittency. Ironically, most of the technologies used to observe th...