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A Gis Approach To Ingest Meteosat Second Generation Data Into The Local Analysis and Prediction System


The Local Analysis and Prediction System (LAPS) is modified to ingest Meteosat Second Generation (MSG) data for cloud analysis. A first study is conducted to test the actual performance of the weather analysis software after new satellite bands are introduced. Results show that the system provides high quality cloud products such as cloud mask, cloud top height and cloudiness. A comparison with products from EUMETSAT’s Nowcasting SAF shows a general underestimation of the LAPS product although the results are not conclusive. The study shows the potential of MSG data in refining the mesoscale analyses produced by LAPS. Moreover the software tools, based on open source codes for geolocation and geographical information systems, written for the transformation of MSG data into input files for LAPS have demonstrated a great flexibility and ease of use. The study opens up an avenue for successive validation and refinement of the analyses together with their improved implementation for operational nowcasting and very short range forecasting applications.

Article / Publication Data
Available Metadata
Accepted On
March 26, 2010
Fiscal Year
Publication Name
Environmental Modelling and Software
Published On
October 01, 2010
Final Online Publication On
April 01, 2010
Publisher Name
Elsevier Ltd.
Print Volume
Print Number
Page Range
Submitted On
September 09, 2009


Not available


Authors who have authored or contributed to this publication.