{"title":"Development of a Complex Meteorological Support System for UAVs","authors":"Z. Botty\u00e1n, F. Wantuch, A. Z. Gy\u00f6ngy\u00f6si, Z. Tuba, K. Hadob\u00e1cs, P. Kardos, R. Kurunczi","volume":76,"journal":"International Journal of Geological and Environmental Engineering","pagesStart":219,"pagesEnd":225,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9335","abstract":"The sensitivity of UAVs to the atmospheric effects are\napparent. All the same the meteorological support for the UAVs\nmissions is often non-adequate or partly missing.\nIn our paper we show a new complex meteorological support\nsystem for different types of UAVs pilots, specialists and decision\nmakers, too. The mentioned system has two important parts with\ndifferent forecasts approach such as the statistical and dynamical\nones.\nThe statistical prediction approach is based on a large\nclimatological data base and the special analog method which is able\nto select similar weather situations from the mentioned data base to\napply them during the forecasting procedure.\nThe applied dynamic approach uses the specific WRF model runs\ntwice a day and produces 96 hours, high resolution weather forecast\nfor the UAV users over the Hungary. An easy to use web-based\nsystem can give important weather information over the Carpathian\nbasin in Central-Europe. The mentioned products can be reached via\ninternet connection.","references":"[1] J. Gertler, \"U.S. Unmanned Aerial Systems,\" Congressional Research\nService\", January 3, 2012.\n[2] Joint Air Power Competence Center, \"Strategic Concept of Employment\nfor Unmanned Aircraft Systems in NATO\",\nhttp:\/\/www.japcc.de\/fileadmin\/user_upload\/projects\/nato_flight_plan_fo\nr_uas\/NATO_UAS_CONEMP_Final.pdf. 2010.\n[3] Meteorological Service for International Air Navigation, \"Annex 3 to the\nConvention on International Civil Aviation\", 2007.\n[4] Z. Botty\u251c\u00edn, \"Estimation of in-flight icing characteristics of UAVs during\ndifferent meteorological conditions,\" Proc. of the 8th International\nConference on Intelligent Unmanned Systems (ICIUS 2012), 418-422.,\n2012\n[5] B. Sauter, \"Weather Impacts on the Aerostar Unmanned Aircraft System\nBased on Climatology over the U.S.\/ Mexico Border,\" U.S. Army\nResearch Laboratory, Adelphi, pp. 1-39, 2007.\n[6] J. T. McCabe, \"Estimating conditional probability and persistence,\" Air\nWeather Service United States Air Force, 1968.\n[7] B. K. Hansen: A Fuzzy Logic-Based Analog Forecasting System for\nCeiling and Visibility. Wea. and For., Vol. 22, 1319-1330., 2007\n[8] D. Riordan, B. K. Hansen, \"A fuzzy case-based system for weather\nprediction,\" Eng. Int. Syst. 139-146., 2002.\n[9] S. Arya, D. M. Mount, O. Narayan, \"Accounting for Boundary Effects in\nNearest Neighbour Searching,\" In Proc. 11th ACM Symposium on\nComputation Geometry, 1995.\n[10] Wang, W., Bruy\u00e8re, C., Duda, M.G., Dudhia, J., Gill, D., Lin, H-C.,\nMichalakes, J., Rizvi, S. and Zhang, X.: \"ARW Version 3 Modeling\nSystem User-s Guide\", July 2009, NCAR MMM Tech. Note.\n[11] Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M.,\nDuda, M.G., Huang, X.-Y., Wang, W., Powers,J.G., 2008: \"A\nDescription of the Advanced Research WRF Version 3\" NCAR\/TN-\n475+STR, , NCAR Techical Note. June 2008.\n[12] A. J. M. Jacobs, N. Maat,: \"Numerical Guidance Methods for Decision\nSupport in Aviation Meteorological Forecasting,\" Weather and\nForecasting, pp. 82-100., 2004.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 76, 2013"}