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中文摘要：
提出应用一维数值微分算法求取观测风场的涡度场,并与中央差分方法作了比较.结果表明,一维数值微分算法稳定、可行且计算精度较高,对较小尺度的天气系统具有较强的识别能力.
英文摘要：
It is well known that it often leads to large error to calculate the first order partial derivatives of physical quantities by the difference method from observation data with error. Especially in meteorology, observational wind has large error, and calculating vorticity from observational wind is very inaccurate. Therefore, one-dimensional numerical differentiation algorithm is applied to calculate vorticity from observational wind, and the result is compared with that of the central difference method. It turns out that the one-dimensional numerical differentiation algorithm is stable and feasible. Its accuracy is superior to the central difference method, and it has stronger recognizing ability for the smaller-scale weather systems.
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