Overview
Benchmarked Validated
The stochastic distorted-wave Born approximation (SDWBA)
extends the weak-fluid DWBA by averaging over random phase
perturbations along the body.
Core idea
Retain the local weak-scattering contributions used by
DWBA, perturb their relative phases over repeated
realizations, and report the mean linear backscatter response (Demer and Conti 2003;
Demer and Conti 2005).
Best for
- Krill-like and zooplankton-like targets with unresolved shape or posture variability
- Ensemble predictions in which phase variability is part of the model
- Assessing how deterministic interference structure changes under randomization
Supports
-
FLSgeometry and material inputs accepted byDWBA - Configurable realization count and reference phase-scaling parameters
- Averaged complex amplitude, linear cross-section, and target strength
Main assumptions
- The same weak-fluid and single-scattering regime as
DWBA - Unresolved variability can be represented by the specified phase distribution
- Randomization modifies coherence rather than the local scattering kernel
- Monte Carlo settings are adequate for the requested summary
Validation status
- Benchmarked against the canonical spectra stored in benchmark_ts.
- Validated against the CCAMLR, NOAA applet, and echoSMs implementations.
Family pages
- Implementation: stochastic controls, reproducibility, output, and comparisons
- Theory: random phase model and ensemble averaging
References
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. 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.
