Title :
Analysis of rainfall signatures on COSMO-SkyMed X-Band Synthetic Aperture Radar observations
Author :
Mori, S. ; Pulvirenti, L. ; Chini, M. ; Pierdicca, N. ; Montopoli, M. ; Parodi, A. ; Weinman, J.A. ; Marzano, F.S.
Author_Institution :
Dept. Inf. Eng., Electron. & Telecommun., Sapienza Univ. of Rome, Rome, Italy
Abstract :
This paper presents an investigation on the rainfall signature for two COSMO-SkyMed (CSK) satellite case studies. Both of them are relative to a severe precipitation weather event, occurred in northwestern Italy (close to Liguria region) on November 3-8, 2011. This event was monitored by using a number of CSK images provided by the Italian Space Agency (ASI). In this case CSK X-SAR data have been compared with the weather radar (WR) Italian Radar National Mosaic. A third case study is relative to Hurricane “Irene” event, occurred in Eastern United States (close to Delaware) on late August 2011. CSK X-SAR images are compared with respect to concurrent ground-based S-band NEXRAD weather radar reflectivities. The correlation of the precipitating cloud fields between CSK X-SAR and WR images is significant in all case studies. An application of a refined XSAR-based precipitation retrieval method is presented. The X-SAR surface response is estimated using ancillary data, such as land cover maps and a digital elevation model (DEM).
Keywords :
digital elevation models; meteorological radar; rain; remote sensing by radar; synthetic aperture radar; AD 2011 08; AD 2011 11 03 to 08; COSMO-SkyMed X-band synthetic aperture radar; CSK satellite; Delaware; Eastern United States; Hurricane Irene; Italian Radar National Mosaic; Italian Space Agency; Liguria region; NEXRAD weather radar; digital elevation model; land cover map; northwestern Italy; rainfall signature; severe precipitation weather event; Meteorological radar; Radar imaging; Rain; Spaceborne radar; Synthetic aperture radar; Geophysical signal processing; Meteorological factors; Rainfall signatures; Synthetic Aperture Radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351119