Comparison of geophysical model functions for SAR wind speed retrieval in japanese coastal waters

Remote Sensing

Volumn 5, Issue 4, 2013, Pages 1956-1973

  Takeyama, Yuko ^a   Ohsawa, Teruo ^b   Kozai, Katsutoshi ^b   Hasager, Charlotte Bay ^c   Badger, Merete ^c  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b KOBE UNIVERSITY   (Japan)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Geophysical model function; Satellite borne sar; Sea surface wind speed retrieval

Indexed keywords

ATMOSPHERIC STABILITY; FUTURE IMPROVEMENTS; GEOPHYSICAL MODEL FUNCTION; IN-SITU OBSERVATIONS; ROOT MEAN SQUARE ERRORS; SATELLITE-BORNE SAR; SEA-SURFACE WIND SPEED; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

GEOPHYSICS; MEAN SQUARE ERROR; SYNTHETIC APERTURE RADAR;

WIND EFFECTS;

EID: 84880434694     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5041956     Document Type: Article

References (27)

1. APDRC. Available online: http://apdrc.soest.hawaii.edu/data/data.php (accessed on 10 October 2012).
2. Stoffelen, A.; Anderson, D. Scatterometer data interpretation: Estimation and validation of the transfer function CMOD-4. J. Geophys. Res. 1997, 102, 5767-5780.
3. Lehner, S.; Horstmann, J.; Koch, W.; Rosenthal, W. Mesoscale wind measurements using recalibrated ERS SAR images. J. Geophys. Res. 1998, 103, 7847-7856.
4. Horstmann, J.; Koch, W.; Lehner, S.; Tonboe, R. Ocean winds from RADARSAT-1 ScanSAR. Can. J. Remote Sens. 2002, 28, 524-533.
5. Hasager, C.B.; Dellwik, E.; Nielsen, M.; Furevik, B.R. Validation of ERS-2 SAR offshore wind-speed maps in the North Sea. Int. J. Remote Sen. 2004, 25, 3817-3841.
6. Stoffelen, A. Toward the true near-surface wind speed: Error modeling and calibration using triple collocation. J. Geophys. Res. 1998, 103, 7755-7766.
7. Quilfen, Y.; Chapron, B.; Elfouhaily, T.; Katsaros, K.; Tournadre, J. Observation of tropical cyclones by high-resolution scatterometry. J. Geophys. Res. 1998, 103, 7767-7786.
8. Hasager, C.B.; Badger, M.; Peña, A.; Larsén, X.G.; Bingöl, F. SAR-based wind resource statistics in the Baltic Sea. Remote Sens. 2011, 3, 117-144.
9. Hersbach, H.; Stoffelen, A.; Haan, S. An improved C-band scatterometer ocean geophysical model function: CMOD5. J. Geophys. Res. 2007, 112, 1-18.
10. Hersbach, H. Comparison of C-band scatterometer CMOD5.N equivalent neutral winds with ECMWF. J. Atm. Oceanic Tech. 2010, 27, 721-736.
11. Liu, W.T.; Tang, W. Equivalent Neutral Wind; 1996; pp. 96-178. Available online: http://airsea-www.jpl.nasa.gov/data (accessed on 10 October 2012).
12. Monin, A.S.; Obukhov, A.M. Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr. Akad. Nauk SSSR Geophiz. Inst. 1954, 24, 164-187.
13. Cressman, G.P. An operational objective analysis system. Mon. Wea. Rev. 1959, 87, 67-374.
14. Takeyama, Y.; Ohsawa T., Kozai K.; Hasager C.B.; Badger M. Error Factors in SAR Wind Retrieval for Inshore Areas. In Proceedings of European Offshore Wind 2009 Conference & Exhibition, Stockholm, Sweden, 14-16 September 2009; PO. 136, p. 10.
15. Shankaranarayanan, K.; Donelan, M.A. A probabilistic approach to scatterometer model function verification. J. Geophys. Res. 2001, 106, 19969-19990.
16. Vachon, P.W.; Dobson, F.W. Wind retrieval from radarsat sar images: Selection of a suitable C-band HH polarization wind retrieval model. Can. J. Rem. Sens. 2000, 26, 306-313.
17. ASCAT Wind Product User Manual; Version 1.12; 2012; p. 27. Available online: http://www.knmi.nl/scatterometer/publications/pdf/ASCAT_Product_Manual.pdf (accessed on 10 October 2012).
18. Vachon, P.W.; Dobson, F.W. Validation of wind vector retrieval from ERS-1 SAR images over the ocean. Glob. Atmos. Ocean Syst. 1996, 5, 177-187.
19. Wackerman, C.; Rufenach, C.L.; Shuchman, R.A.; Johannessen, J.A.; Davidson, K.L. Wind vector retrieval using ERS-1 synthetic aperture radar imagery. IEEE Trans. Geosci. Remote Sens. 1996, 34, 1343-1352.
20. Takeyama, Y.; Ohsawa, T.; Kozai, K.; Hasager, C.B.; Badger, M. Effectiveness of weather research and forecasting wind direction for retrieving coastal sea surface wind from synthetic aperture radar. Wind Energy 2013, in press.
21. Mouche, A.A.; Hauser, D.; Daloze, J.; Gueri, C. Dual-Polarization measurements at C-Band over the ocean: Result from airborne radar observations and comparison with ENVISAT ASAR data. IEEE Trans. Geosci. Remote Sens. 2005, 43, 753-769.
22. Liu, W.T.; Katsaros, K.B.; Businger, J.A. Bulk parameterization of air-sea exchanges of heat and water vapor including the molecular constraints at the interface. J. Atmos. Sci. 1979, 36, 1722-1735.
23. The Weather Research and Forecasting Model. Available online: http://wrf-model.org/index.php (accessed on 10 October 2012).
24. Charnock, H. Wind stress on a water surface. Q. J. Roy. Meteor. Soc. 1955, 81, 639-640.
25. Abdalla, S.; Hersbach, H. The Technical Support for Global Validation of ERS Wind and Wave Products at ECMWF; Final Report for ESA Contract 15988/02/I-LG; 2004; p. 59. Available online: http://www.ecmwf.int/publications/library/ecpublications/_pdf/esa/ESA_abdalla_hersbach.pdf (accessed on 10 October 2012).
26. Portabella, M.; Stoffelen A. On scatterometer ocean stress. J. Atm. Oceanic Tech. 2009, 26, 368-382.
27. Shimada, T.; Kawamura, H.; Shimada, M. Evaluation of JERS-1 SAR images from a coastal wind retrieval point of view. IEEE Trans. Geosci. Remote Sens. 2004, 42, 491-500.