DocumentCode :
3690102
Title :
Assimilation of radar reflectivity for rainfall nowcasting
Author :
Yann Lepoittevin;Isabelle Herlin
Author_Institution :
INRIA, Institut National de Recherche en Informatique et Automatique, France
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
933
Lastpage :
936
Abstract :
The paper describes an operational method of rainfall now-casting based on ground radar acquisitions with high space and time resolution. The nowcast horizon is between 30 minutes and 1 hour as required by prevention measures of flash floods. The characteristics of the input data justify the design of an image-based method that estimates wind fields from image acquisitions and forecasts the location and quantity of rain in the near future. The estimation phase relies on an iterative data assimilation of the radar acquisitions with an evolution model of motion and image fields, while the forecast is obtained by simulating these fields at the chosen horizon. The research is done in the context of a collaboration with the french company Numtech and the data are obtained with radars of the company Weather Measures.
Keywords :
"Radar imaging","Mathematical model","Numerical models","Predictive models","Estimation","Image resolution"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7325919
Filename :
7325919
Link To Document :
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