气候变化领域集成服务门户(CCPortal): Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

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DOI	10.1016/j.atmosres.2019.104798
	Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
	Guijo-Rubio D.; Casanova-Mateo C.; Sanz-Justo J.; Gutiérrez P.A.; Cornejo-Bueno S.; Hervás C.; Salcedo-Sanz S.
发表日期	2020
ISSN	0169-8095
卷号	236
英文摘要	In this paper we tackle a problem of convective situations analysis at Adolfo-Suarez Madrid-Barajas International Airport (Spain), based on Ordinal Regression algorithms. The diagnosis of convective clouds is key in a large airport like Barajas, since these meteorological events are associated with strong winds and local precipitation, which may affect air and land operations at the airport. In this work, we deal with a 12-h time horizon in the analysis of convective clouds, using as input variables data from a radiosonde station and also from numerical weather models. The information about the objective variable (convective clouds presence at the airport) has been obtained from the Madrid-Barajas METAR and SPECI aeronautical reports. We treat the problem as an ordinal regression task, where there exist a natural order among the classes. Moreover, the classification problem is highly imbalanced, since there are very few convective clouds events compared to clear days. Thus, a process of oversampling is applied to the database in order to obtain a better balance of the samples for this specific problem. An important number of ordinal regression methods are then tested in the experimental part of the work, showing that the best approach for this problem is the SVORIM algorithm, based on the Support Vector Machine strategy, but adapted for ordinal regression problems. The SVORIM algorithm shows a good accuracy in the case of thunderstorms and Cumulonimbus clouds, which represent a real hazard for the airport operations. © 2019 Elsevier B.V.
英文关键词	Airports; Convective analysis; Convective clouds; Machine learning techniques; Ordinal regression
学科领域	Airports; Clouds; Precipitation (meteorology); Support vector machines; Airport operations; Convective analysis; Convective clouds; Machine learning techniques; Madrid Barajas International Airport; Numerical weather model; Ordinal regression; Specific problems; Regression analysis; air transportation; airport; cloud microphysics; convective cloud; convective system; machine learning; numerical model; precipitation (climatology); regression analysis; wind forcing; wind velocity; Madrid [Spain]; Spain
语种	英语
scopus关键词	Airports; Clouds; Precipitation (meteorology); Support vector machines; Airport operations; Convective analysis; Convective clouds; Machine learning techniques; Madrid Barajas International Airport; Numerical weather model; Ordinal regression; Specific problems; Regression analysis; air transportation; airport; cloud microphysics; convective cloud; convective system; machine learning; numerical model; precipitation (climatology); regression analysis; wind forcing; wind velocity; Madrid [Spain]; Spain
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120485
作者单位	Department of Computer Science and Numerical Analysis, Universidad de Córdoba, Córdoba, Spain; Department of Civil Engineering: Construction, Infrastructure and Transport, Universidad Politécnica de Madrid, Madrid, Spain; LATUV, Remote Sensing Laboratory, Universidad de Valladolid, Valladolid, Spain; Department of Signal Processing and Communications, Universidad de Alcalá, Alcalá de Henares, Spain
推荐引用方式 GB/T 7714	Guijo-Rubio D.,Casanova-Mateo C.,Sanz-Justo J.,et al. Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport[J],2020,236.
APA	Guijo-Rubio D..,Casanova-Mateo C..,Sanz-Justo J..,Gutiérrez P.A..,Cornejo-Bueno S..,...&Salcedo-Sanz S..(2020).Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport.Atmospheric Research,236.
MLA	Guijo-Rubio D.,et al."Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport".Atmospheric Research 236(2020).