DocumentCode :
1448814
Title :
Spatially-Adaptive Advection Radar Technique for Precipitation Mosaic Nowcasting
Author :
Montopoli, Mario ; Marzano, Frank Silvio ; Picciotti, Errico ; Vulpiani, Gianfranco
Author_Institution :
Dept. of Electr. Eng. & Inf., Univ. of L´´Aquila, L´´Aquila, Italy
Volume :
5
Issue :
3
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
874
Lastpage :
884
Abstract :
A new numerical nowcasting technique to predict the radar reflectivity field at very short term, up to few hours, is presented. The method is based on the spatial segmentation of the reflectivity field and estimated advection field to produce radar reflectivity forecasts and, for this reason, is named Spatially-adaptive Precipitation Advective Radar Estimator (SPARE). A large data set coming from the Italian radar network mosaic (spatial domain size of about 1200 1200 km2) is used to test the overall performance of SPARE against the simplest method of radar map temporal persistence. An original approach to estimate the radar field motion, based on the phase cross-correlation principle, is formulated in this paper. Results are given either in terms of skill scores of predicted radar maps or in terms of predicted uncertainty. The latter provides a new methodology to evaluate the expected performance of SPARE predictions.
Keywords :
atmospheric precipitation; atmospheric techniques; meteorological radar; weather forecasting; Italian radar network mosaic; SPARE; SPARE predictions; Spatially-adaptive Precipitation Advective Radar Estimator; estimated advection field; numerical nowcasting technique; phase cross-correlation principle; precipitation mosaic nowcasting; radar field motion; radar map temporal persistence; radar reflectivity field; radar reflectivity forecasts; spatial segmentation; spatially-adaptive advection radar technique; Correlation; Radar imaging; Radar remote sensing; Rain; Spaceborne radar; Vectors; Advection scheme; ground based weather radar; short term prediction;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2011.2182506
Filename :
6152170
Link To Document :
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