Abstract
An idealized concept of inversion modeling assumes for a given model that environmental and geometrical parameter values can be determined to match similar measured parameter values. In practice, data-model mismatch is inherent due to noise and the inability of the model to provide a one-to-one correspondence with the real environment. Several approaches have been devised to apply statistical inference to the inversion geoacoustic parameter values, but the uncertainties calculated for these values cannot be validated directly with ground truth measurements. However, tones with calibrated source levels in data received from a towed source can provide a direct assessment of whether the estimated source level uncertainties encompass the actual error in the estimated source levels. Examples from the Shallow Water '06 experiment will be discussed to illustrate the procedure.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
