Data Fixing Algorithm in Radiosonde Monitoring Process

• Autorzy: Szuster P.
• Języki publikacji: EN

Abstrakty

EN

Earth surface monitoring can give information that may be used in complex analysis of the air conditions, temperature, humidity etc. Data from a vertical profile of the atmosphere is also essential for accurate thunderstorm forecasting. That data is collected by radiosondes – telemetry instruments carried into the atmosphere usually by balloons. Sometimes, due to the hostile conditions of upper troposphere, incorrect data can be generated by radiosonde sensors. In this paper, a new algorithm is developed for fixing the incorrect data, i.e. missing or out of specific range values. The proposed algorithm was tested both on benchmarks and real data generated by radiosondes. About 70% of significantly damaged test data volume was recovered. Up to 100% of real data was fixed.

Słowa kluczowe

EN

aerology; data fixing; data fusion; meteorological data; monitoring; radiosondes

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2017
• Tom: nr 1
• Strony: 81--88
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Szuster P.

• Faculty of Physics, Mathematics and Computer Science Cracow University of Technology Warszawska st 24 31-155 Cracow, Poland
• AGH University of Science and Technology Mickiewicza av. 30 30-059 Cracow, Poland

Bibliografia

• [1] R. Thompson, “Explanation of SPC severe weather parameters”, Storm Prediction Center, National Oceanic and Atmospheric Administration [Online]. Available: http://www.spc.noaa.gov/sfctest/ help/sfcoa.html
• [2] D. Dempsey, “The Stuve and Skew-T/Log-P thermodynamic diagrams”, Dept. of Geosciences, San Francisco State University, 2009 [Online]. Available: http://funnel.sfsu.edu/courses/metr201/S12/ handouts/stuve skewt.html
• [3] T. A. Apostolatos, “Hodograph: A useful geometrical tool for solving some difficult problems in dynamics”, Amer J. of Phys., vol. 71, no. 3, pp. 261–266, 2003 [Online]. Available: http://users.uoa.gr/∼pjioannou/mech1/SITES/hodograph.pdf (doi: 10.1119/1.1527948).
• [4] W. C. Skamarock et al., “A Description of the Advanced Research WRF Version 3”, National Center for Atmospheric Research Boulder, CO, USA, Jun. 2008 [Online]. Available: http://www2.mmm.ucar.edu/wrf/users/docs/arw v3.pdf
• [5] “Atmospheric Soundings”, University of Wyoming [Online]. Available: http://weather.uwyo.edu/upperair/sounding.html
• [6] “Description of Sounding Columns”, University of Wyoming [Online]. Available: http://weather.uwyo.edu/upperair/columns.html
• [7] “33791 Kryvyi Rih monitoring at 12Z 01 Dec 2016”, University of Wyoming [Online]. Available: http://weather.uwyo.edu/ cgi-bin/sounding?region=europe&TYPE=TEXT%3ALIST&YEAR= 2016&MONTH=12&FROM=0112&TO=0112&STNM=33791.
• [8] T. D. Pigott, “A review of methods for missing data”, J. of. Educational Res. and Eval., vol. 7, no. 4, pp. 353–383, 2001.
• [9] A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, 1st ed. Cambridge University Press, 2006, pp. 529–543.
• [10] T. Blu, “Linear interpolation revitalized”, IEEE Trans. on Image Process., vol. 13, no. 5, pp. 710–719, 2004 (doi: 10.1109/TIP.2004.826093).
• [11] J.-P. Berrut and L. N. Trefethen, “Barycentric Lagrange interpolation”, SIAM Rev., vol. 46, no. 3, pp. 501–517, 2004.
• [12] C. Runge, “ ¨Uber empirische Funktionen und die Interpolation zwischen aquidistanten Ordinaton”, Zeitschrift fu¨r Mathematik und Physik, vol. 46, pp. 224–243, 1902 (in German).
• [13] G. Wolberg, “Cubic spline interpolation: A review”, Tech. Rep. CUCS-389-88, Columbia University, Computer Science Reports, New York, USA, 1988.
• [14] F. Honghai et al., “A SVM Regression Based Approach to Filling in Missing Values”, in Knowledge-Based Intelligent Information and Engineering Systems, R. Khosla, R. J. Howlett, and L. C. Jain, Eds. LNCS, vol. 3683, pp. 581–587. Springer, 2005.
• [15] E. Acu˜na and C. Rodriguez, “The treatment of missing values and its effect in the classifier accuracy”, in Classification, Clustering, and Data Mining Applications, D. Banks et al., Eds. Springer, 2004 [Online]. Available: http://sci2s.ugr.es/sites/default/files/files/ TematicWebSites/MVDM///IFCS04r.pdf

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).