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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Numerical simulation studies of rain gage data correction due to wind effect
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Numerical simulation studies of rain gage data correction due to wind effect

机译：风效应对雨量计数据校正的数值模拟研究

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摘要

Investigation of the correction of rain gage measurements due to the wind effect is described. The focus is on the effect of the temporal averaging scale on the estimation of the wind-induced error correction. Numerically derived correction formulae for a specific class of rain gage types, along with high temporal resolution measurements of rainfall and wind speed, are used to perform the study. The rainfall measurements are corrected on a variety of temporal scales ranging from 1 min to 1 month. The results showed the importance of applying the correction procedure at a short timescale, otherwise a significant overestimation of the wind-induced bias results. The wind-induced error is characterized by a nonlinear complex behavior dependent on wind speed, rainfall rate, and the microphysical rain structure quantified by a drop size distribution parameter. The estimated correction factors are found to be sensitive to the change of the drop size distribution. Finally, comparison with certain formulae reported in the literature showed a significant random scatter of the estimated correction if it is expressed only as a function of the wind speed and the drop size distribution characteristics are ignored.
机译：描述了对由于风效应引起的雨量计测量值的校正的研究。重点是时间平均尺度对风致误差校正估计的影响。用于特定类别雨量计的数字得出的校正公式，以及降雨和风速的高时间分辨率测量，均用于进行研究。降雨测量值在1分钟到1个月不等的各种时间尺度上进行了校正。结果表明在短时间内应用校正程序的重要性，否则会严重高估风致偏差结果。由风引起的误差的特征是非线性复杂行为，该行为取决于风速，降雨率以及由液滴大小​​分布参数量化的微物理降雨结构。发现估计的校正因子对液滴尺寸分布的变化敏感。最后，与文献中报道的某些公式进行比较表明，如果仅将其表示为风速的函数，而忽略了液滴尺寸分布特性，则估计的校正值会出现很大的随机散布。

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