Improved Radar Composites and Enhanced Value of Meteorological Radar Data Using Different Quality Indices
| Autor: | Martin Gera, Marián Jurašek, Martin Gažák, Miroslav Kelemen, Ladislav Méri, Ladislav Gaál, Juraj Bartok |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
radar composite
Quantitative precipitation estimation quantitative precipitation estimation 010504 meteorology & atmospheric sciences Computer science media_common.quotation_subject Geography Planning and Development TJ807-830 Management Monitoring Policy and Law 010502 geochemistry & geophysics TD194-195 01 natural sciences Aquaplaning Renewable energy sources law.invention Aviation safety Software law Quality (business) GE1-350 Radar Composite material aviation safety 0105 earth and related environmental sciences media_common quality index Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry Probabilistic logic Environmental sciences radar meteorology Runway business |
| Zdroj: | Sustainability, Vol 13, Iss 5285, p 5285 (2021) Sustainability Volume 13 Issue 9 |
| ISSN: | 2071-1050 |
| Popis: | Radar measurements are inherently affected by various meteorological and non-meteorological factors that may lead to a degradation of their quality, and the unwanted effects are also transferred into composites, i.e., overlapping images from different radars. The paper was aimed at answering the research question whether we could create ‘cleaner’ radar composites without disturbing features, and if yes, how the operational practice could take advantage of the improved results. To achieve these goals, the qRad and qPrec software packages, based on the concept of quality indices, were used. The qRad package estimates the true quality of the C-band radar volume data using various quality indices and attempts to correct some of the adverse effects on the measurements. The qPrec package uses a probabilistic approach to estimate precipitation intensity, based on heterogeneous input data and quality-based outputs of the qRad software. The advantages of the qRad software are improved radar composites, which offer benefits, among others, for aviation meteorology. At the same time, the advantages of the qPrec software are manifested through improved quantitative precipitation estimation, which can be translated into hydrological modeling or climatological precipitation mapping. Beyond this, the developed software indirectly contributes to sustainability and environmental protection—for instance, by enabling fuel savings due to the more effective planning of flight routes or avoiding runway excursions due to information on the increased risk of aquaplaning. |
| Databáze: | OpenAIRE |
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