2013•Proceedings of International Conference on Intelligent Unmanned SystemsRequires access

Forecasting of Hazardous Weather Phenomena in a Complex Meteorological Support System for UAVs

Zsolt Bottyán, Ferenc Wantuch, Zénó András Gyöngyösi

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Abstract

In order to make a general weather prediction for UAVs missions we had to prepare the significant estimation of hazardous atmospheric phenomena such as ceiling, visibility and icing etc. On the other hand the forecasting of the mentioned phenomena is based on both statistical and numerical weather predictions. In our Integrated Aviation Weather Prediction System (IAWPS) for UAVs we applied a large aviation climate data base with analog forecasting method to predict the visibility and ceiling and a WRF-based numerical calculations to the same and other parameters for UAV missions. We had to test our weather prediction results in a 3D space so we developed a complex meteorological sensor system for an UAV airplane with the temperature, humidity and pressure values, too.

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What this paper is about

In order to make a general weather prediction for UAVs missions we had to prepare the significant estimation of hazardous atmospheric phenomena such as ceiling, visibility and icing etc. On the other hand the forecasting of the mentioned phenomena is based on both statistical and numerical weather predictions. In our Integrated Aviation Weather Prediction System (IAWPS) for UAVs we applied a large aviation climate data base with analog forecasting method to predict the visibility and ceiling and a WRF-based numerical calculations to the same and other parameters for UAV missions. We had to test our weather prediction results in a 3D space so we developed a complex meteorological sensor system for an UAV airplane with the temperature, humidity and pressure values, too.

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Available abstract

In order to make a general weather prediction for UAVs missions we had to prepare the significant estimation of hazardous atmospheric phenomena such as ceiling, visibility and icing etc. On the other hand the forecasting of the mentioned phenomena is based on both statistical and numerical weather predictions. In our Integrated Aviation Weather Prediction System (IAWPS) for UAVs we applied a large aviation climate data base with analog forecasting method to predict the visibility and ceiling and a WRF-based numerical calculations to the same and other parameters for UAV missions. We had to test our weather prediction results in a 3D space so we developed a complex meteorological sensor system for an UAV airplane with the temperature, humidity and pressure values, too.

Key concepts: Visibility, Weather Research and Forecasting Model, Meteorology, Ceiling (cloud), Weather forecasting, Surface weather observation, Numerical weather prediction, Environmental science

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