THE WEATHER RESEARCH AND FORECASTING MODEL’S COMMUNITY VARIATIONAL/ENSEMBLE DATA ASSIMILATION SYSTEM WRFDA

• Published in: Bulletin of the American Meteorological Society Vol. 93; no. 6; pp. 831 - 843
• Main Authors: Barker, Dale, Huang, Xiang-Yu, Liu, Zhiquan, Auligné, Tom, Zhang, Xin, Rugg, Steven, Ajjaji, Raji, Bourgeois, Al, Bray, John, Chen, Yongsheng, Demirtas, Meral, Guo, Yong-Run, Henderson, Tom, Huang, Wei, Lin, Hui-Chuan, Michalakes, John, Rizvi, Syed, Zhang, Xiaoyan
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 01.06.2012
• Subjects: Algorithms; Analytical forecasting; Communities; Computational Sciences; Data assimilation; Data collection; Documentation; ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; FORECASTING; Forecasting models; IMPLEMENTATION; MATHEMATICAL METHODS AND COMPUTING; Meteorology; Meteors; Observational research; OTHER INSTRUMENTATION; R&D; Radiance; Remote sensing; Research & development; Software; Time series forecasting; WEATHER; Weather forecasting; USA; United Arab Emirates

Data assimilation is the process by which observations are combined with short-range NWP model output to produce an analysis of the state of the atmosphere at a specified time. Since its inception in the late 1990s, the multiagency Weather Research and Forecasting (WRF) model effort has had a strong...