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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images

Abstract

Numerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground receiver station (1.5 metre HRPT/MetOp). Aforementioned improvement is based on real-time updates of initialization and boundary conditions dataset of the NWP system. Conclusions and advantages of proposed solution are presented in the paper.

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Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
W : Marine Navigation and Safety of Sea Transportation : Navigational Problems strony 153 - 160
Language:
English
Publication year:
2013
Bibliographic description:
Markiewicz Ł., Chybicki A., Drypczewski K., Bruniecki K., Dąbrowski J.: Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images// W : Marine Navigation and Safety of Sea Transportation : Navigational Problems/ ed. ed. A. Weintrit Leiden: Taylor&Francis Group, 2013, s.153-160
DOI:
Digital Object Identifier (open in new tab) 10.1201/b14962-26
Verified by:
Gdańsk University of Technology

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