Open Access Open Access  Restricted Access Subscription or Fee Access

Comprehensive weather situation map based on XML-format as decision support for UAVs

Martin Köhler, Franziska Funk, Thomas Gerz, Federico Mothes, Erwin Stenzel

Abstract


In the framework of the StraVARIA project (Autonomy Considerations for Stratospheric High Altitude Pseudo-Satellites made in BAVARIA) a comprehensive weather situation map as decision support for UAVs was newly developed. For this tool, certain weather data (observations, nowcasts, and forecasts) containing information on hazards endangering the mission or the UAV structure itself like thunderstorms, turbulence, wind and cloud cover are combined using a so-called NoGo-Area approach. Using this approach we receive weather objects out of complete data fields which should be avoided by UAVs. All information on the NoGo-Areas, like precise spatial coordinates and time signatures, are stored within a newly developed XML-format. The total of our XML-files, including information on all weather hazards, is seen as the comprehensive weather situation map. It can be used as decision support for UAVs regarding a long-term mission (trajectory) planning and short-term avoidance of weather hazards.

Keywords


XML;UAV; Weather hazards; NoGo-Area; Autonomous flying

Full Text:

PDF

References


Baldauf M., Förster J., Klink S., Reinhardt T., Schraff C., Seifert A. and Stephan K, “Kurze Beschreibung des Lokal-Modells Kürzestfrist COSMO-DE (LMK) und seiner Datenbanken auf dem Datenserver des DWD“. Stand 31.03.2011, Deutscher Wetterdienst, Geschäftsbereich Forschung und Entwicklung, Postfach 100465, D-63004 Offenbach, 2011.63004 Offenbach, 2010.

Besprozvannykh A. V., “Extensible Markup Languagen(XML): Essentials for Climatologists, “CCI OPAG 1 Implementation/Coordination Team, 2005.

Bottyán Z., Gyöngyösi A. Z., Wantuch F., Tuba Z., Kurunczi R., Kardos P., Istenes Z., Weidinger T., Hadobács K., Szabó Z., Balczó M., Varga A., Kircsi A. B. and Horvath G., “Measuring and modeling of hazardous weather phenomea to aviation using the Hungarian Unmanned Meteorological Aircraft System (HUMAS),” Időjárás. vol. 119, no. 3, pp. 307-335, 2015.

Bottyán, Z., Wantuch, F. and Gyöngyösi, Z., “Forecasting of Hazardous Weather Phenomena in a Complex Meteorological Support System for UAVs,” J Unmanned Sys Tech, vol. 2, no. 2, pp. 79-86, 2014.

Bottyán, Z., Wantuch, F., Gyöngyösi, Z., Tuba, Z., Hadobács, K., Kardos, P. and Kurunczi, R., “Development of a Complex Meteorological Support System for UAVs”, World Academy of Science Engineering and Technology, Vol. 76, 2013, pp. 1124, 1129.

Dutton, J. and Panofsky, H. A., “Clear air turbulence: A mystery may be unfolding,” Science, vol. 167, 937-944, 1970.

Elliotte Rusty Harold & W. Scott Means, XML in a nutshell, O’Reilly Verlag 2011.

Elliotte Rusty Harold, XML Bible, IDG Books Worldwide, Inc., 1999.

Endlich, R. M., “The Mesoscale Structure of Some Regions of Clear-Air Turbulence”, J. Appl. Meteor., vol. 3, pp. 261 – 276, 1964.

FAA NextGen: https://www.faa.gov/nextgen/

Forster C. and Tafferner A., “Nowcasting Thunderstorms for Munich Airport”. DLR-Forschungsbericht, Projektbericht. DLR-FB–2012-02, 14 S. Deutsches Zentrum für Luft- und Raumfahrt e.V., Bibliotheks- und Informationswesen, Köln, 2012.

Funk, F. and Stütz, P., “A Passive Cloud Detection System for UAV: Weather Situation Mapping with Imaging Sensors,“ IEEE Aerospace Conference Proceedings, 2017.

Kober K. and Tafferner A., “Tracking and nowcating of convective cells using remote sensing data from radar and satellite,” Meteorologische Zeitschrift, vol. 18, no. 1, pp. 75-84, 2009.

Köhler M., Tafferner A. and Gerz T., “Cb-LIKE – Cumulonimbus LIKElihood: Thunderstorm forecasting with fuzzy logic,” Meteorologische Zeitschrift, vol. 12, 2016.

Kronebach, G. W., ‘An automated procedure for forecasting clear-air turbulence,” J. Appl. Meteor., vol. 3, pp. 119-125, 1964.

Lyons, R. and Panofsky, H. A. and Wollaston, S., “The Critical Richardson Number and Its Implications for Forecast Problems,” J. Appl. Meteor., vol. 3, pp. 136 – 142, 1964.

Marsh G., “Best endurance under the sun, “ Renewable energy focus, vol. 11, issue 5, pp. 24-27, 2010.

Mehta A., Yadav S., Solanki K. and Joshi C., “Solar Aircraft: Future need,” International Journal of Advanced Engineering Technology,”, vol 3, issue 4, pp. 43-48, 2012.

Schättler U., Doms G. and Schraff C..,”A Description of the Nonhydrostatic Regional COSMO-Model,” Printed at DeutscherWetterdienst, P.O. Box 100465, 63004 Offenbach, Germany, 2013.

Schmid, J. “The SEVIRI instrument,” Proceedings of the 2000 EUMETSAT Meteorological Satellite Data Users`Conference, Bolgona, Italy, May 29 June 2, 2000, pp. 23-32.

Schulz, J. P. and Schättler, U., ”Kurze Beschreibung des Lokal-Modells Europa COSMO-EU (LME) und seiner Datenbanken auf dem Datenserver des DWD,“ Stand 20.05.2010, Deutscher Wetterdienst, Geschäftsbereich Forschung und Entwicklung, Postfach 100465, D 63004 Offenbach, 2010.

SESAR: https://www.sesarju.eu/

Sharman, R., Tebaldi, C., Wiener, G. and Wolff, J., “An integrated approach to Mid- und Upper-Level Turbulence Forecasting,” Wea. Forecasting, vol. 21, pp. 268 – 287, 2006.

W3C, XML: http://www.w3c.org/XML/

Wantuch, F., Bottyán, Z., Tuba, Z. and Hadobács, K., “Statistical methods and weather based decision making in meteorological support for Unmanned Aerial Vehicles (UAVs)”, IEEE International Conference on Unmanned Aircraft Systems, IEEE Xplore, Atlanta, GA, USA, 2013, pp. 203–207.

Weigl E., Klink S., Kohler O., Reich T., Rosenow W., Lang P., Podlasly C., Winterrath T., Majewski D. and Lang J., “Abschlussbericht Projekt RADVOROP: Radargestuetze, zeitnahe Niederschlagsvorhersage fuer den operationellen Einsatz (Niederschlag-Nowcasting-System),“ Technical report, Deutscher Wetterdienst Abteilung Hydrometeorologie, 2005.

Zhu X., Guo Z. and Hou, Z., “Solar-powered airplanes: A historical perspective and future challenges,“ Progress in Aerospace Sciences, vol. 71, pp. 36-53, 2014.

Zinner T., Mannstein H. and Tafferner A., “Cb-TRAM: Tracking and monitoring severe convection from onset over rapid development to mature phase using multi-channel Meteosat-8 SEVIRI data,“ Meteorol. Atmos. Phys., vol. 101, pp. 191-201, 2008.




DOI: http://dx.doi.org/10.21535%2Fjust.v5i1.950

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.