Overview
Benchmarked Validated
These pages connect krill-body DWBA models to phase variability, orientation effects, and practical survey use (Demer and Stephane G. Conti 2003; Demer and Stéphane G. Conti 2003, 2005; Conti and Demer 2006).
The stochastic distorted wave Born approximation (SDWBA)
extends the deterministic DWBA by treating unresolved
posture and shape variability as stochastic phase variability along the
body.
Core idea
Start from the same segmented weak-scattering sum as
DWBA, then replace the strictly coherent phase accumulation
by a randomized phase model whose statistics are chosen to mimic
unresolved biological variability.
Best for
- Krill-like or zooplankton-like targets where deterministic body geometry is not known precisely
- Orientation-averaged or ensemble-style weak-scattering predictions
- Situations where fully coherent
DWBAoverpredicts narrow interference structure
Supports
-
FLSobjects with the same geometry support asDWBA - Monostatic target strength based on an averaged linear backscatter quantity
- The same local contrast notation as
DWBA, with seawater as medium1and the body as medium2
Main assumptions
- Weak-scattering fluid-like body
- Phase variability enters statistically rather than through an explicit new boundary-value solve
- Randomization acts on the coherent sum rather than on the local scattering kernel
Validation status
- Benchmarked against the canonical spectra stored in benchmark_ts.
- Validated against the CCAMLR, NOAA applet, and echoSMs implementations.
Family pages
- Implementation: stochastic settings, spectra, and validation workflows
- Theory: randomized coherent sums and scale-invariant phase statistics
References
Conti, Stéphane G., and David A. Demer. 2006. “Improved
Parameterization of the SDWBA for Estimating Krill Target
Strength.” ICES Journal of Marine Science 63 (5):
928–35. https://doi.org/10.1016/j.icesjms.2006.02.007.
Demer, David A., and Stephane G. Conti. 2003. “Reconciling
Theoretical Versus Empirical Target Strengths of Krill: Effects of Phase
Variability on the Distorted-Wave Born
Approximation.” ICES Journal of Marine Science 60 (2):
429–34. https://doi.org/10.1016/S1054-3139(03)00002-X.
Demer, David A., and Stéphane G. Conti. 2003. “Validation of the
Stochastic Distorted-Wave Born Approximation Model with
Broad Bandwidth Total Target Strength Measurements of
Antarctic Krill.” ICES Journal of Marine
Science 60 (3): 625–35. https://doi.org/10.1016/S1054-3139(03)00063-8.
Demer, David A., and Stéphane G. Conti. 2005. “New Target-Strength
Model Indicates More Krill in the Southern
Ocean.” ICES Journal of Marine Science 62
(1): 25–32. https://doi.org/10.1016/j.icesjms.2004.07.027.
