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Ocean Wave Integral Parameter Measurements Using Envisat ASAR Wave Mode Data

Li, Xiao-Ming and Lehner, Susanne and Bruns, Thomas (2011) Ocean Wave Integral Parameter Measurements Using Envisat ASAR Wave Mode Data. IEEE Transactions on Geoscience and Remote Sensing, 49 (1), pp. 155-174. DOI: 10.1109/TGRS.2010.2052364. ISSN 0196-2892.

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5508398

Abstract

An empirical algorithm to retrieve integral ocean wave parameters such as significant wave height (SWH), mean wave period, and wave height of waves with period larger than 12 s $({H}_{12})$ from synthetic aperture radar (SAR) images over sea surface is presented. The algorithm is an extension to the Envisat Advanced SAR (ASAR) wave mode data based on the CWAVE approach developed for ERS-2 SAR wave mode data and is thus called CWAVE_ENV (CWAVE for Envisat). Calibrated ASAR images are used as the only source of input without needing prior information from an ocean wave model (WAM) as the standard algorithms used in weather centers. This algorithm makes SAR an independent instrument measuring integrated wave parameters like SWH and mean wave period to altimeter quality. A global data set of 25�000 pairs of ASAR wave mode images and collocated reanalysis WAM results from the European Centre for Medium-Range Weather Forecasts (ECMWF) is used to tune CWAVE_ENV model coefficients. Validation conducted by comparing the retrieved SWH to in situ buoy measurements shows a scatter index of 0.24 and 0.16 when compared to the ECMWF reanalysis WAM. Two case studies are presented to evaluate the performance of the CWAVE_ENV algorithm for high sea state. A North Atlantic storm during which SWH is above 18 m as observed by SAR and Radar Altimeter simultaneously is analyzed. For an extreme swell case that occurred in the Indian Ocean, the potential of using SWH measurements from ASAR wave mode data derived by the CWAVE_ENV algorithm is demonstrated.

Document Type:Article
Title:Ocean Wave Integral Parameter Measurements Using Envisat ASAR Wave Mode Data
Authors:
AuthorsInstitution or Email of Authors
Li, Xiao-MingXiao.Li@dlr.de
Lehner, SusanneUNSPECIFIED
Bruns, ThomasUNSPECIFIED
Date:January 2011
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:49
DOI:10.1109/TGRS.2010.2052364
Page Range:pp. 155-174
ISSN:0196-2892
Status:Published
Keywords:Empirical algorithm , integral wave parameter , synthetic aperture radar (SAR) , wave mode data
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Marine Remote Sensing
Deposited By: Xiao Ming Li
Deposited On:03 Nov 2010 08:00
Last Modified:12 Dec 2013 21:04

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