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Miscellanea Geographica

Regional Studies on Development

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CiteScore 2016: 0.40

SCImago Journal Rank (SJR) 2016: 0.227
Source Normalized Impact per Paper (SNIP) 2016: 0.404

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Online
ISSN
2084-6118
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Processing of 3D Weather Radar Data with Application for Assimilation in the NWP Model

Katarzyna Ośródka
  • Department of Ground Based Remote Sensing Institute of Meteorology and Water Management National Research Institute
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/ Jan Szturc
  • Department of Ground Based Remote Sensing Institute of Meteorology and Water Management National Research Institute
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/ Bogumił Jakubiak / Anna Jurczyk
  • Department of Ground Based Remote Sensing Institute of Meteorology and Water Management National Research Institute
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Published Online: 2014-09-30 | DOI: https://doi.org/10.2478/mgrsd-2014-0023

Abstract

The paper is focused on the processing of 3D weather radar data to minimize the impact of a number of errors from different sources, both meteorological and non-meteorological. The data is also quantitatively characterized in terms of its quality. A set of dedicated algorithms based on analysis of the reflectivity field pattern is described. All the developed algorithms were tested on data from the Polish radar network POLRAD. Quality control plays a key role in avoiding the introduction of incorrect information into applications using radar data. One of the quality control methods is radar data assimilation in numerical weather prediction models to estimate initial conditions of the atmosphere. The study shows an experiment with quality controlled radar data assimilation in the COAMPS model using the ensemble Kalman filter technique. The analysis proved the potential of radar data for such applications; however, further investigations will be indispensable.

Keywords: Weather radar; radar refectivity; data quality; data assimilation

References

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About the article

Received: 2014-02-10

Accepted: 2014-04-30

Published Online: 2014-09-30


The research described in the paper was performed in the framework of the project N N307 467738 granted by the National Science Centre (Poland). The algorithms for data correction and quality characterization were partially developed within the BALTRAD+ project in the framework of the Baltic Sea Region Programme. Weather radar data from the POLRAD network was provided by IMGW-PIB and the COAMPS model was made available by ICM UW.


Citation Information: Miscellanea Geographica, ISSN (Online) 2084-6118, DOI: https://doi.org/10.2478/mgrsd-2014-0023.

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© 2014 Katarzyna Ośródka et. al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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