Study on the evolution of initial field error in the simulation of river flow 河流流场数值模拟初始场误差发展研究
The initial field formed by 3dvar system is right and reasonable 三维变分数据同化系统同化卫星数据后,所形成的初值场是合理和正确的。
This paper presents an application of genetic algorithms ( gas ) to variational data assimilation for the initial fields 本文将遗传算法应用于初始场的变分同化中。
Adjoint method provides an efficient tool to calculate the gradient vector of the cost function to the initial field 利用伴随方法,可以求出该度量函数关于初始场的梯度向量。
The forecasting of meteorological element fields and precipitation is improved by use of the adjusted initial field 使用调整后的初始场对降水及其它物理量场的预报均有所改善。
The optimal initial field not only meets the dynamical and thermal expectations but also reflects the true atmospheric state 最优初始场,既要满足模式动力和热力要求,又能反映大气的真实状态。
Then adjust these data to needful format . and then combine t106 data , sst data and sur , uao meteorologic data to form initial field 结合t106资料、 sst资料以及地面、探空常规观测资料,构成初始场,进行模拟。
The result shows that the mm5 adjoint - model assimilation system can effectively assimilate the conventional data and adjust the initial field 对比研究结果表明, mm5伴随模式能有效同化常规观测资料,调整初始场。
Then adjust these data to needful format . and then combine t106 data , sst data and sur , uao meteorologic data to form initial field 写成模式需要的格式,结合t106资料、 sst资料以及地面、探空常规观测资料,构成初始场,进行模拟。
Recently the development of numerical models has run to perfection , so whether the initial field stands to exactness counts 近年来,数值模式的发展相当精细,可以真实地描写和模拟出实际天气过程的演变发展,因而初始场是否精确就至关重要。