Oceanographic field estimates from remote sensing and glider fleets

Journal of Atmospheric and Oceanic Technology

Volumn 29, Issue 11, 2012, Pages 1657-1662

  Alvarez, A ^a   Mourre, B ^a  

^a NATO UNDERSEA RESEARCH CENTRE   (Italy)

Author keywords

In situ atmospheric observations; Interpolation schemes

Indexed keywords

ATMOSPHERIC OBSERVATIONS; COASTAL REGIONS; FIELD EXPERIMENT; INDEPENDENT MEASUREMENT; INTERPOLATION SCHEMES; MERGING TECHNIQUES; OPTIMAL INTERPOLATION; REMOTE SENSING DATA; SEA SURFACE TEMPERATURE (SST); TEMPERATURE OBSERVATIONS; TEMPERATURE PROFILES; THERMAL FIELD; THERMOCLINE DEPTH;

ATMOSPHERIC TEMPERATURE; GLIDERS; MERGING; OPTIMIZATION; REMOTE SENSING; STREAM FLOW;

INTERPOLATION;

COVARIANCE ANALYSIS; INTERPOLATION; NUMERICAL MODEL; OBSERVATIONAL METHOD; OCEANOGRAPHY; REMOTE SENSING; SEA SURFACE TEMPERATURE; TEMPERATURE PROFILE;

ITALY; LA SPEZIA [LIGURIA]; LIGURIA;

EID: 84871903171     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-12-00015.1     Document Type: Article

References (14)

1. Alvarez, A., 2011: Volumetric reconstruction of oceanographic fields estimated from remote sensing and in situ observations from autonomous underwater vehicles of opportunity. IEEE J. Oceanic Eng., 36, 12-24.
2. Alvarez, A., and E. Reyes, 2010: Volumetric estimation of thermal fields inferred from glider-like and remote-sensing measurements in undersampled coastal regions. J. Geophys. Res., 115, C11006, doi:10.1029/2009JC005791.
3. Astraldi, M., and G. P. Gasparini, 1992: The seasonal characteristics of the circulation in the north Mediterranean basin and their relationship with the atmospheric-climatic conditions. J. Geophys. Res., 97 (C6), 9531-9540.
4. Bouffard, J., A. Pascual, S. Ruiz, Y. Faugere, and J. Tintoré, 2010: Coastal and mesoscale dynamics characterization using altimetry and gliders: A case study in the Balearic Sea. J. Geophys. Res., 115, C10029, doi:10.1029/2009JC006087.
5. Brankart, J. M., and N. Pinardi, 2001: Abrupt cooling of the Mediterranean Levantine Intermediate Water at the beginning of the eighties: Observational evidence and model simulation. J. Phys. Oceanogr., 31, 2307-2320.
6. Eriksen, C. C., T. J. Osse, R. D. Light, T. Wen, T. W. Lehman, P. L. Sabin, J. W. Ballard, and A. M. Chiodi, 2001: Seaglider: A long-range autonomous underwater vehicle for oceanographic research. IEEE J. Oceanic Eng., 26, 424-436.
7. Hansen, P. C., 1998: Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion. SIAM, 247 pp.
8. Inoue, H., 1986: A least-squares smooth fitting for irregularly spaced data: Finite-element approach using the cubic B-spline basis. Geophysics, 51, 2051-2066.
9. Leonard, N., D. Paley, R. Davis, D. Fratantoni, F. Lekien, and F. Zhang, 2010: Coordinated control of an underwater glider fleet in an adaptive ocean sampling field experiment in Monterey Bay. J. Field Robot., 27, 718-740.
10. Montes-Hugo,M.A.,R.Gould,R.Arnone,H.Ducklow, K.Carder, D. English, O. Schofield, and J. Kerfoot, 2009: Beyond the first optical depth: Fusing optical data fromocean color imagery and gliders.Ocean Remote Sensing:Methods andApplications, R. J. Frouin, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 7459), doi:10.1117/12.828851.
11. Ramp, S., and Coauthors, 2009: Preparing to predict: The second autonomous ocean sampling network (AOSN-II) experiment in the Monterey Bay. Deep-Sea Res. II, 56, 68-86.
12. Sherman, J., R. E. Davis, W. B. Owens, and J. Valdes, 2001: The autonomous underwater glider "Spray." IEEE J. Oceanic Eng., 26, 437-446.
13. Wahba, G., 1990: Spline Models for Observational Data. SIAM, 165 pp.
14. Webb, D. C., P. J. Simonetti, and C. P. Jones, 2001: SLOCUM: An underwater glider propelled by environmental energy. IEEE J. Oceanic Eng., 26, 447-452.