典型文献
Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay
文献摘要：
In recent years,the focus of tropospheric studies has evolved to GNSS meteorology and weather fore-casting.The Zenith Wet Delay(ZWD),which might be assembled to the Integrated Water Vapour(IWV),is an essential component of the tropospheric delay.Acquiring predicted the ZWD with the required level of accuracy is crucial for weather forecasting.The scope of this study is to use the adaptive neural fuzzy inference system(ANFIS)to predict the ZWD for the following six-hour epoch based exclusively on the present the ZWD value.It was developed and verified using 505 geographically and internationally distributed stations which were used for training and testing from 2008 to 2019.It was assessed based on two criteria.First,the correlation coefficient(R)values were found to be more than 0.8 in 98％of the stations,including those with highest and lowest latitudes,and the remaining 2％of stations located in coastal areas.Second,the Root Mean Square Error(RMSE)values of the differences between the pre-dicted and the actual ZWD were considered to be the more important finding of the study.That is,99.21％of the 505 stations had the RMSE values equal to or less than 3 cm,with only 4 stations having the RMSE values higher(0.2 mm)than 3 cm.Since the results of this study achieved the required degree of ac-curacy from the predicted ZWD to be utilized in weather forecasting,they may also be beneficial for GNSS meteorology.
文献关键词：
中图分类号：
作者姓名：
Jareer Mohammed
作者机构：
Civil Engineering Department,Wasit University,Kut,Iraq
文献出处：
引用格式：
[1]Jareer Mohammed-.Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay)[J].大地测量与地球动力学（英文版）,2022(04):352-362
A类：
Vapour,IWV
B类：
Adaptive,neuro,fuzzy,inference,system,predicting,sub,daily,Zenith,Wet,Delay,recent,years,focus,tropospheric,studies,has,evolved,GNSS,meteorology,weather,ZWD,which,might,assembled,Integrated,Water,essential,component,delay,Acquiring,predicted,required,level,accuracy,crucial,forecasting,scope,this,study,adaptive,neural,ANFIS,following,six,hour,epoch,exclusively,present,It,was,developed,verified,using,geographically,internationally,distributed,stations,were,used,training,testing,from,assessed,two,criteria,First,correlation,coefficient,values,found,more,than,including,those,highest,lowest,latitudes,remaining,located,coastal,areas,Second,Root,Mean,Square,Error,RMSE,differences,between,actual,considered,important,finding,That,had,equal,less,only,having,higher,Since,results,achieved,degree,utilized,they,may,also,beneficial
AB值：
0.521571
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
