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FORECASTING AIRCRAFT ICING IN COMPLEX TERRAIN

机译:在复杂地形中预测飞机结冰

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Through verification of different aircraft icing forecasts for the period from December 2000-April 2001, it appears that forecasts of aircraft icing over the complex terrain could be improved. No forecasting method produced accuracies higher than 72% for the study period as a whole. However, there were many differences noted in each of the forecasts examined. The NNICE forecast produced high accuracy percentages, although it overpredicts icing occurrences. On the other hand, WICE tended to underpredict icing events, with accuracies on average around the 50% mark. The AFWA MM5-based forecasts and AWSP algorithm both produced forecasts that had a very high ratio of false negatives to false positives. The AFWA algorithm did not produce a significantly improved forecast when grid spacing was reduced from 45km to 15km. AFWA accuracy percentages were in general higher than AWC. The AWSP algorithm was generally more accurate than either the AWC or AFWA methods. Using ETA soundings interpolated for KMWN as input data produced forecasts of higher accuracy than using nearby GYX radiosonde data. There is potential for manipulation of this forecasting algorithm for improvement in regions of complex terrain. Initial research shows that adaptation of the algorithm by adjusting the input data is a way to improve forecasts. Additional work is underway to evaluate the icing severity predictions of the various forecast methods. These results will be reported in a future paper and/or report. Further research over more than a single season is needed to study the adaptation of icing forecasting methods over complex terrain. It is shown that there is potential for an algorithm to be developed that can incorporate the atmospheric dynamics over terrain regions more successfully than current methods. With input data coming from the ETA model, forecasts can be made at 6-hour intervals out to 60 hours. Advanced warning and accurate icing forecasts over topographic regions has widespread importance, and there appears to be room for improvement.
机译:通过核查2000年12月至2001年4月期间不同的飞机结冰预报,看来可以改善复杂地形上飞机结冰的预报。在整个研究期间,没有一种预测方法产生的准确性高于72%。但是,在检查的每个预测中都有许多差异。尽管NNICE预测高估了结冰的发生率,但是却产生了较高的准确率。另一方面,WICE往往会低估结冰事件,平均准确度约为50%。基于AFWA MM5的预测和AWSP算法生成的预测中,假阴性与假阳性的比率非常高。当网格间距从45km减少到15km时,AFWA算法没有产生明显改善的预测。 AFWA准确度百分比通常高于AWC。 AWSP算法通常比AWC或AFWA方法更准确。与使用附近的GYX探空仪数据相比,使用针对KMWN插值的ETA测深作为输入数据可以产生更高的准确度预测。有可能对该预测算法进行操作,以改善复杂地形的区域。初步研究表明,通过调整输入数据对算法进行调整是改善预测的一种方法。正在进行其他工作,以评估各种预测方法的结冰严重程度预测。这些结果将在以后的论文和/或报告中进行报告。需要对一个以上季节进行进一步研究,以研究结冰预报方法在复杂地形上的适应性。结果表明,有可能开发出一种算法,该算法可以比当前方法更成功地纳入地形区域的大气动力学。利用来自ETA模型的输入数据,可以每6小时到60小时进行一次预测。对地形区域进行高级警告和准确结冰预报具有广泛的重要性,并且似乎还有改进的空间。

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