Variational data assimilation with physical quot; on - off quot; processes 过程的变分资料同化
The four - dimensional variational data assimilationsystem of mesoscale numerical model mm 5的四维变分资料同化系统
Data assimilation is an effective approach to improve the numerical forecasts skill 资料同化是提高数值模式预报能力的有效方法。
The study of preliminary application of satellite - derived relative humi - dity in rainstorm forecast 卫星云图资料同化中的质量控制及其在暴雨预报中的应用
Tangent linear and adjoint method of " on - off " switches are studied in this paper 本文研究了四维变分资料同化中有关“开关”变量的切向线性化和伴随问题。
Secondly meteorologic datum assimilation history and major ways are introduced . especially four - dimensional variational assimilation is emphasized 接着介绍了气象资料同化的发展历史及主要方法,并重点强调了四维变分同化理论。
Amsu - a data has a positive effect on the intensity of rainfall modeling , and amsu - b data improves the modeling of the location of rainfall 仅用amsu - a资料同化后的初始场可改善暴雨的模拟强度,而仅用amsu - b资料的同化改进了暴雨的落区的模拟。
To that end , more involved data assimilation methods , e . g . three - dimensional or four - dimensional variational analysis and extended kalman filtering technique , will also be explored 资料同化可能需要采用更深入的运算方法,如三维或四维变分法及增强卡尔曼滤波等技术。
To that end , more involved data assimilation methods , e . g . three - dimensional or four - dimensional variational analysis and extended kalman filtering technique , will also be explored 资料同化可能需要采用更深入的运算方法,如三维或四维变分法及增强卡尔曼滤波等技术。
Numerical experiments results on modeling the rainfall , show that : l ) the rainfall field modeled is improved and much similar to real rain field when tbb data is assimiliated into initial fields 同化模拟试验结果表明,卫星云图资料同化后模拟预报的降水场结果有了相当程度的改善,预报的强降水与实况比较接近。