lModelling SIG has adopted idea of using
reference tests to establish the validity of modelling techniques
lReference tests should preferably be based
on field or laboratory measurements
lWhere field data is sparse and of poor
quality (as with tsunamis) need to include analytical models
lThese generally apply only in simplified
situations, but these can often be matched in numerical
models
lWhere field and/or laboratory data
available, what about experimental errors?
lExperiments need authentication to identify possible measurement
errors
lAuthentication can be established by
eliminating obvious outliers, and by checks for mass conservation (e.g. masses under flow
curves should balance)
lA quick way of authentication is to fit a
good numerical model: if there is agreement, then authentication and validation both
happen together
lIf there is no agreement, then back to
square 1!
lIllustrate by two examples: An analytical
tsunami validation and a laboratory dambreak validation
lPropose for adoption by national standards
authority for compliance testing