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The MeteoGIS system developed at the Institute of Meteorology and Water Management – National Research Institute in Poland is a GIS-based system for real-time monitoring of weather and the generation of meteorological warnings. Apart from its monitoring features, it can also provide more advanced analysis, including SQL (Structured Query Language) queries and statistical analyses. Input data are provided mainly by the INCA-PL 2 nowcasting model which employs forecasts from the high-resolution AROME numerical weather prediction model and measurement data from the Polish weather radar network POLRAD and surface meteorological stations. As well as this, data from the PERUN lighting detection system are used. Ingestion of such data allows for the mitigation of risk from potentially hazardous weather phenomena such as extreme temperatures, strong wind, thunderstorms, heavy rain and subsequent impending floods. The following meteorological parameters at ground level are visualised in the MeteoGIS: (i) precipitation (accumulation and type), (ii) temperature, (iii) wind (speed and direction), (iv) lightning (locations and type). End users of the system are workers from civil protection services who are interested in shortterm warnings against severe weather events, especially area-oriented ones (related to districts, catchments, etc.). The reliability of visualised data is a very important issue, and from the MeteoGIS user’s point of view the improvement in data quality is a continuous process.
Słowa kluczowe
Rocznik
Tom
Strony
49--61
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
autor
- Institute of Meteorology and Water Management – National Research Institute, Podleśna Street 61, 01-673 Warszawa, Poland
autor
- Institute of Meteorology and Water Management – National Research Institute, Podleśna Street 61, 01-673 Warszawa, Poland
autor
- Institute of Meteorology and Water Management – National Research Institute, Podleśna Street 61, 01-673 Warszawa, Poland
autor
- Institute of Meteorology and Water Management – National Research Institute, Podleśna Street 61, 01-673 Warszawa, Poland
autor
- Institute of Meteorology and Water Management – National Research Institute, Podleśna Street 61, 01-673 Warszawa, Poland
autor
- Noma2 Sp. z o.o., Prebiscytowa Street 36, 40-041 Katowice, Poland
Bibliografia
- 1. Conway J.W., Eilts M.D., 2004, The HydroMet Decision Support System: new applications in hydrology, [in:] Proceedings of ERAD, Copernicus GmbH, 525-527
- 2. Conway J.W., Formentini G., Lago L., Rossa A., 2006, The Hydromet Decision Support System: operational application in hydrometeorology and flash flood prediction, [in:] Proceedings of ERAD, Copernicus GmbH, 444-447
- 3. Del Greco S., Ansari S., 2006, Radar visualization and data exporter tools to support interoperability and the Global Earth Observation System of Systems (GEOSS), from the National Oceanic and Atmospheric Administration’s (NOAA’s) National Climatic Data Center (NCDC), [in:] Proceedings of ERAD, Copernicus GmbH ,303-306
- 4. Einfalt T., Szturc J., Ośródka K., 2010, The quality index for radar precipitation data: a Tower of Babel?, Atmospheric Science Letters, 11 (2), 139-144, DOI: 10.1002/asl.271
- 5. Haiden T., Kann A., Wittmann C., Pistotnik G., Bica B., Gruber C., 2011, The Integrated Nowcasting through Comprehensive Analysis (INCA) system and its validation over the Eastern Alpine Region, Weather and Forecasting, 26 (2), 166-183, DOI: 10.1175/2010WAF2222451.1
- 6. Jurczyk A., Ośródka K., Tkocz G., Szturc J., 2009, MeteoGIS: system for monitoring of hazardous meteorological phenomena in the Silesian Voivodeship (in Polish), Wiadomości MHGW, 3, 3-16
- 7. Kann A., Pistotnik G., Bica B., 2012, INCA-CE: A Central European initiative in nowcasting severe weather and its applications, Advances in Science and Research, 8, 67-75, DOI:10.5194/asr-8-67-2012
- 8. Konarski J., Gajda W., Dziewit Z., Barański P., 2008, Severe winter thunderstorm in Poland, case study, 20th International Lightning Detection Conference; 2nd International Lightning Meteorology Conference, 21-25 April, Tucson, USA, 8 pp., available at http://www.vaisala.com/en/events/ildcilmc/Documents/Severe%20Winter%20Thunderstorm%20in%20Poland%20Case%20Study.PDF (data access 26.11.2015)
- 9. Köhler P., Müller M., Sanders M., Wächter J., 2006, Data management and GIS in the Center for Disaster Management and Risk Reduction Technology (CEDIM): from integrated spatial data to the mapping of risk, Natural Hazards and Earth System Sciences, 6, 621-628, DOI: 10.5194/nhess-6-621-2006
- 10. Kundzewicz Z.W., Szamałek K., Kowalczak P., 1999, The Great Flood of 1997 in Poland, Hydrological Sciences Journal, 44 (6), 855-870, DOI: 10.1080/02626669909492285
- 11. Michelson D., Einfalt T., Holleman I., Gjertsen U., Friedrich K., Haase G., Lindskog M., Jurczyk A., 2005, Weather Radar Data Quality in Europe – Quality Control and Characterization. Review, COST 717 Working Document WDF_MC_200403_1, Luxembourg, 92 pp.
- 12. NWC SAF, 2013, SAFNWC/MSG Basic Documents, available at http://www.nwcsaf.org/HD/MainNS.jsp (data access 26.11.2015)
- 13. Ośródka K., Jurczyk A., Tkocz G., Szturc J., 2008, The Meteo-GIS: radar-based system for monitoring severe meteorological phenomena, [in:]Proceedings of ERAD, Copernicus GmbH, (CD)
- 14. Ośródka K., Szturc J., Jurczyk A., 2014, Chain of data quality algorithms for 3-D single-polarization radar reflectivity (RADVOL-QC system), Meteorological Applications, 21 (2), 256-270, DOI: 10.1002/met.1323
- 15. Seity Y., Brousseau P., Malardel S., Hello G., Bénard P., Bouttier F., Lac C., Masson V., 2011, The AROME-France Convective-Scale Operational Model, Monthly Weather Review, 139 (3), 976-991, DOI: 10.1175/2010MWR3425.1
- 16. Sinclair S., Pegram G., 2005, Combining radar and rain gauge rainfall estimates using conditional merging, Atmospheric Science Letters, 6 (1), 19-22, DOI: 10.1002/asl.85
- 17. Szturc J., Dziewit Z., 2005, Status and perspectives on using radar data: Poland, [in:] Use of Radar Observations in Hydrological and NWP Models. COST Action 717 Final Report, A. Rossa, M. Bruen, D. Frühwald, B. Macpherson, I. Holleman, D. Michelson, S. Michaelides (eds.), 218-221
- 18. Szturc J., Jurczyk A., Ośródka K., Struzik P., Otop I., 2014, Estimation of surface precipitation field based on multi-source data and quality information (in Polish), Monografie Komitetu Gospodarki Wodnej PAN, XX (2), 19-30
- 19. Villarini G., Krajewski W.F., 2010, Review of the different sources of uncertainty in single polarization radar-based estimates of rainfall, Surveys in Geophysics, 31 (1), 107-129, DOI: 10.1007/s10712-009-9079-x
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f318b9ea-fc4e-4adb-9f61-40a64a10e3a8