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X-band Cosmo-skymed Wind Field Retrieval, with Application to Coastal Circulation Modeling : Volume 9, Issue 5 (16/10/2012)

By Montuori, A.

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Book Id: WPLBN0003978530
Format Type: PDF Article :
File Size: Pages 29
Reproduction Date: 2015

Title: X-band Cosmo-skymed Wind Field Retrieval, with Application to Coastal Circulation Modeling : Volume 9, Issue 5 (16/10/2012)  
Author: Montuori, A.
Volume: Vol. 9, Issue 5
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Ruggiero, P. D., Migliaccio, M., Pierini, S., Spezie, G., & Montuori, A. (2012). X-band Cosmo-skymed Wind Field Retrieval, with Application to Coastal Circulation Modeling : Volume 9, Issue 5 (16/10/2012). Retrieved from http://www.worldebookfair.org/


Description
Description: Dipartimento per le Tecnologie, Università di Napoli Parthenope, Napoli, Italy. In this paper, X-band COSMO-SkyMed© SAR wind field retrieval is investigated to force coastal circulation modeling. The SAR data set consists of 60 X-band Level 1B Multi-Look Ground Detected ScanSAR Huge Region COSMO-SkyMed© SAR data, gathered in the Southern Tyrrhenian Sea during the Summer and Winter seasons of 2010. The SAR-based wind vector field estimation is accomplished by resolving both the SAR-based wind speed and wind direction retrieval problems independently. The sea surface wind speed is retrieved by means of a SAR wind speed algorithm based on the Azimuth cut-off procedure, while the sea surface wind direction is provided by means of a SAR wind direction algorithm based on the Discrete Wavelet Transform Multi-Resolution Analysis. The obtained wind fields are compared with ground truth data provided by both ASCAT scatterometer and ECMWF model wind fields. SAR-derived wind vector fields and ECMWF model wind data are used to construct a blended wind product regularly sampled in both space and time, which is then used to force a coastal circulation model of a Southern Tyrrhenian coastal area to simulate wind-driven circulation processes. The modeling results clearly show that X-band COSMO-SkyMed© SAR data can be valuable in providing effective wind fields for coastal circulation modeling.

Summary
X-band COSMO-SkyMed wind field retrieval, with application to coastal circulation modeling

Excerpt
Bentamy, A., Queffeulou, P., Quilfen, Y., and Katsaros, K.: Ocean Surface Wind Fields Estimated from Satellite Active and Passive Microwave Instruments, IEEE T. Geosci. Remote, 37, 2469–2486, 1999.; Blumberg, A. F. and Mellor, G. L.: A description of a three-dimensional coastal ocean circulation model, in: Three-Dimensional Coastal Ocean Models, edited by: Heaps, N. S., 1–16, AGU, Washington, DC, 1987.; Chapron, B., Fouhaily, T. E., and Kerbaol, V.: Calibration and validation of ERS wave mode products, Inst. Fr. De Rech. pour lExploit. de la Mer, Brest, France, Doc. DRO/OS/95-02, 1995.; De Ruggiero, P., Napolitano, E., Iacono, R., Pierini, S., and Spezie, G.: Circulation modeling of a Southern Tyrrhenian coastal area that includes the Gulf of Naples, with an analysis of coastal wave propagation, in preparation, 2012.; Du, Y., Vachon, P. W., and Wolfe, J.: Wind Direction Estimation from SAR images of the Ocean using Wavelet Analysis, Can. J. Remote Sens., 28, 498–509, 2002.; Holzner, J. and Bamler, R.: Burst-Mode and ScanSAR interferometry, IEEE T. Geosci. Remote, 40, 1917–1934, 2002.; Horstmann, J., Schiller, H., Schulz-Stellenfleth, J., and Lehner, S.: Global Wind Speed Retrieval From SAR, IEEE T. Geosci. Remote, 41, 2277–2286, 2003.; Schiavulli, D., Sorrentino, A., and Migliaccio, M.: An Innovative Technique for Postprocessing Descalloping, IEEE Geosci. Remote S., PP, 1–4, 2012.; Italian Space Agency (ASI) – COSMO-SkyMed Mission: COSMO-SkyMed System Description & User Guide, available at: http://www.cosmo-skymed.it/docs/ASI-CSM-ENG-RS-093-A-CSKSysDescriptionAndUserGuide.pdf/, 2007.; Jackson, C. R. and Apel, J. R.: Synthetic Aperture Radar (SAR) marine user's manual, National Oceanic and Atmospheric Administration (NOOA), Washington, DC, September 2004.; Janssen, P.: The Interaction of Ocean Waves and Wind, Cambridge University Press, UK, 2004.; Kerbaol, V., Chapron, B., and Vachon, P. W.: Analysis of ERS-1/2 Synthetic Aperture Radar wave mode imagettes, J. Geophys. Res., 103, 7833–7846, 1998.; Korsbakken, E., Johannessen, J. A., and Johannessen, O. M.: Coastal Wind Field Retrievals from ERS Synthetic Aperture Radar Image, J. Geophys. Res., 103, 7857–7874, 1998.; Lee, P. H. Y., Barter, J. D., Beach, K. L., Hindman, C. L., Lake, B. M., Rungaldier, H., Shelton, J. C., Williams, A. B., Yee, R., and Yuen, H. C.: X band microwave backscattering from ocean waves, J. Geophys. Res., 100, 2591–2611, 1995.; Mallat, S. G.: A Theory for Multiresolution Signal Decomposition: the Wavelet Representation, IEEE T. Pattern Anal., 11, 674–693, 1989.; Mellor, G. L.: Users guide for a three-dimensional, primitive equation, numerical ocean model, Prog. Atmos. Ocean. Sci, Princeton University, 53, 2003.; Migliaccio, M. and Reppucci, A.: A review of sea wind vector retrievals by means of microwave remote sensing, in: Proceedings of the European Microwave Association 2006, 2, 136–140, 2006.; Migliaccio, M., Montuori, A., and Nunziata, F.: X-band Azimuth cut-off for wind speed retrieval by means of COSMO-SkyMed SAR data, in: Proceedings of IEEE/OES Baltic International Symposium, Klaipeida, Lithuania, 8–10 May 2012, 1–4, 2012.; Montuori, A., Migliaccio, M., and Nunziata, F.: Wind Speed Estimation in the Tyrrhenian Sea by Means of X-band COSMO-SkyMed SAR Data, in: Proceedings of Tyrrhenian Workshop on Advances in Radar and Remote Sensing 2012, Naples, Italy, 12–14 September 2012.; Napolitano, E., Iacono, R., and Marullo, S.: The 2009 surface and intermediate circulation of the Tyrrhenian Sea as assessed by an operational model, in preparation, 2012.; Nunziata, F., Gambardella, A., and Migliaccio, M.: A simulator for SAR sea surface waves imaging, in: Proceedings of IEEE Int. Geosci. Remote Se. 2007, Barcellona, Spain, 23–27 July 2007, 786–789, 2007.; Schiavulli, D.

 

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