Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30178
Development of a Complex Meteorological Support System for UAVs

Authors: Z. Bottyán, F. Wantuch, A. Z. Gyöngyösi, Z. Tuba, K. Hadobács, P. Kardos, R. Kurunczi

Abstract:

The sensitivity of UAVs to the atmospheric effects are apparent. All the same the meteorological support for the UAVs missions is often non-adequate or partly missing. In our paper we show a new complex meteorological support system for different types of UAVs pilots, specialists and decision makers, too. The mentioned system has two important parts with different forecasts approach such as the statistical and dynamical ones. The statistical prediction approach is based on a large climatological data base and the special analog method which is able to select similar weather situations from the mentioned data base to apply them during the forecasting procedure. The applied dynamic approach uses the specific WRF model runs twice a day and produces 96 hours, high resolution weather forecast for the UAV users over the Hungary. An easy to use web-based system can give important weather information over the Carpathian basin in Central-Europe. The mentioned products can be reached via internet connection.

Keywords: Aviation meteorology, statistical weather prediction, unmanned aerial systems, WRF.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072569

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2338

References:


[1] J. Gertler, "U.S. Unmanned Aerial Systems," Congressional Research Service", January 3, 2012.
[2] Joint Air Power Competence Center, "Strategic Concept of Employment for Unmanned Aircraft Systems in NATO", http://www.japcc.de/fileadmin/user_upload/projects/nato_flight_plan_fo r_uas/NATO_UAS_CONEMP_Final.pdf. 2010.
[3] Meteorological Service for International Air Navigation, "Annex 3 to the Convention on International Civil Aviation", 2007.
[4] Z. Bottyán, "Estimation of in-flight icing characteristics of UAVs during different meteorological conditions," Proc. of the 8th International Conference on Intelligent Unmanned Systems (ICIUS 2012), 418-422., 2012
[5] B. Sauter, "Weather Impacts on the Aerostar Unmanned Aircraft System Based on Climatology over the U.S./ Mexico Border," U.S. Army Research Laboratory, Adelphi, pp. 1-39, 2007.
[6] J. T. McCabe, "Estimating conditional probability and persistence," Air Weather Service United States Air Force, 1968.
[7] B. K. Hansen: A Fuzzy Logic-Based Analog Forecasting System for Ceiling and Visibility. Wea. and For., Vol. 22, 1319-1330., 2007
[8] D. Riordan, B. K. Hansen, "A fuzzy case-based system for weather prediction," Eng. Int. Syst. 139-146., 2002.
[9] S. Arya, D. M. Mount, O. Narayan, "Accounting for Boundary Effects in Nearest Neighbour Searching," In Proc. 11th ACM Symposium on Computation Geometry, 1995.
[10] Wang, W., Bruyère, C., Duda, M.G., Dudhia, J., Gill, D., Lin, H-C., Michalakes, J., Rizvi, S. and Zhang, X.: "ARW Version 3 Modeling System User-s Guide", July 2009, NCAR MMM Tech. Note.
[11] Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.-Y., Wang, W., Powers,J.G., 2008: "A Description of the Advanced Research WRF Version 3" NCAR/TN- 475+STR, , NCAR Techical Note. June 2008.
[12] A. J. M. Jacobs, N. Maat,: "Numerical Guidance Methods for Decision Support in Aviation Meteorological Forecasting," Weather and Forecasting, pp. 82-100., 2004.