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Mesoscale Convective Systems Monitoring on the Basis of MSG Data – Case Studies

Artykuł
Czasopismo : Artificial Satellites, Journal of Planetary Geodesy   Tom: 50, Zeszyt: 2, Strony: 91-103
Karolina Szafranek [1] , [2] , Bogumił Jerzy Jakubiak [1] , Ryszard Lech [3] , M. Tomczuk [3]
2015-05-01 angielski
Link do publicznie dostępnego pełnego tekstu
Identyfikatory
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Cechy publikacji
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  • Oryginalny artykuł naukowy
  • Zrecenzowana naukowo
Dyscypliny naukowe
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Geodezja i kartografia , Geofizyka – dziedzina nauk o ziemi
Słowa kluczowe
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Abstrakty ( angielski )
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Analysis described in the paper were made in the frame of the PROZA (Operational decision-making based on atmospheric conditions, http://projekt-proza.pl/) project co-financed by the European Union through the European Regional Development Fund. One of its tasks was to develop an operational forecast system, which is going to support different economies branches like forestry or fruit farming by reducing the risk of economic decisions with taking into consideration weather conditions. The main purpose of the paper is to describe the method of the MCSs (Mesoscale Convective Systems) tracking on the basis of the MSG (Meteosat Second Generation) data. Until now several tests were performed. The Meteosat satellite images in selected spectral channels collected for Central Europe Region for May 2010 were used to detect and track cloud systems recognized as MCSs in Poland. The ISIS tracking method was applied here. First the cloud objects are defined using the temperature threshold and next the selected cells are tracked using principle of overlapping position on consecutive images. The main benefit of using a temperature threshold to define cells is its efficiency. During the tracking process the algorithm links the cells of the image at time t to the one of the following image at time t+dt that correspond to the same cloud system. Selected cases present phenomena, which appeared at the territory of Poland. They were compared to the weather radar data and UKMO UM (United Kingdom MetOffice Unified Model) forecasts. The paper presents analysis of exemplary MCSs in the context of near real-time prediction system development and proves that developed tool can be helpful in MCSs monitoring.
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