CAJ | 학술논문

收集了山东省150例飞机积冰报告，利用物理量场模拟数据，结合3种积冰算法（Ic，RAP，RAOB），分别进行积冰的诊断预报试验，并对3种诊断预报方法进行了准确率检验。为进一步提高预报准确率、降低漏报率，在对Ic和RAOB两种预报效果较好的算法重新调整积冰温度、湿度阈值以及相应系数后，新Ic算法在保持漏报率较低的前提下，预报准确率提高近10个百分点；新RAOB算法在保持准确率较高的前提下，漏报率降低近12个百分点
수집료산동성150례비궤적빙보고，이용물리량장모의수거，결합3충적빙산법（Ic，RAP，RAOB），분별진행적빙적진단예보시험，병대3충진단예보방법진행료준학솔검험。위진일보제고예보준학솔、강저루보솔，재대Ic화RAOB량충예보효과교호적산법중신조정적빙온도、습도역치이급상응계수후，신Ic산법재보지루보솔교저적전제하，예보준학솔제고근10개백분점；신RAOB산법재보지준학솔교고적전제하，루보솔강저근12개백분점
The 150 pilot reports （PIREPs） of icing conditions in Shandong province were collected. Aircraft icing diagnosing and forecasting experiments were carried out separately with simulation data of physical quantity field and three icing algorithms （ Ic, RAP, RAOB） , and the accuracy rates of the three algorithms were verified. To get better accuracy rate and lower missing rate, the Ic and RAOB algorithms were get improved by readjusting icing temperature and humidity thresholds, or corresponding coefficient. The accuracy rate of the new Ic algorithm was nearly increased by 10% in condition of keeping a lower missing rate, and the missing rate of the new RAOB algorithm was nearly decreased by 12% in condition of keeping a good accuracy rate.