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Typical ADCIRC Parameter Selections

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Parameter selections concern the model parameter choices one must make when setting up and running simulations. ADCIRC and the coupled ADCRC+SWAN model have a large number of user-controllable parameters. Some parameters represent a balance in model accuracy vs. stability, like enabling vs. disabling advection via NOLICA and NOLICAT). Others balance accuracy vs. run time, like the implicit vs. lumped explicit GWCE formulation via IM (this also affects stability). Meanwhile some parameters represent values for which the true "best" choice is case-dependent or the subject of ongoing research, like controls affecting drag formulations at the sea surface and sea floor. This page is meant to provide users with example model formulations used by experienced ADCIRCers, and to provide a venue for discussion of parameter selection.

In Storm Surge

The following table presents a variety of parameters as used in storm surge modeling by various groups. Parameters in this table cover a range of model setup choices, and include parameterizations built for forecasting-focused simulations, storm hazard-focused simulations, and hindcast-focused simulations. Note that in all cases, nodal attributes Manning's n at sea floor and surface directional effective roughness length are in use.

Region Mesh np GWCE Formulation Wind Drag Law Upper Wind Drag Limit Min Bottom Drag Coef Advective Terms Steric Vert. Datum ESL ESL Node Count time step h0 velmin tidal constituents convcr SWAN time step SWAN MXITNS SWAN NPNTS
Louisiana LA_v17a-WithUpperAtch_chk.grd 1593521 implicit Powell 0.002 0.0 off 0.228184 navd 0.05 all 1.0 0.1 0.01 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-07 1200 20 95
Texas tx2008_r35h.grd 3352598 implicit Garratt 0.002 0.0 off 0.276300 navd? none none 1.0 0.1 0.01 m2,s2,n2,k1,k2,o1,q1 1.00E-07 1200 20 95
National hsofs.14 1813443 implicit or explicit Garratt 0.0028 0.0025 off none msl none none 2.0 0.05 0.05 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-07 1200 20 95
National (Drag Experiment) hsofs.14 1813443 explicit Garratt 0.002 0.0 off none msl none none 2.0 0.05 0.05 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-07 1200 20 95
MS/AL and FL Panhandle NGOM_RT_v18j_chk.grd 2051346 implicit Powell 0.002 0.0 off 0.230000 navd 0.02 all 1.0 0.1 0.01 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-07 1200 20 95
North Carolina (low res) nc_inundation_v6d_rivers_msl.grd 295328 explicit Garratt 0.0035 0.003 on none msl none none 0.5 0.02 0.02 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-10 1200 20 95
North Carolina (high res) nc_inundation_v9.99a_w_rivers.grd 624782 explicit Garratt 0.0028 0.003 on 0.0 msl none none 0.5 0.1 0.01 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-10 1200 20 95
Delmarva FEMA_R3_20110303_MSL.grd 1875689 explicit Garratt 0.0035 0.003 on none msl none none 1.0 0.1 0.01 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-07 1200 20 95
NY/NJ FEMA_R2_norivers_gcs_mNAVD.grd 604790 implicit Garratt 0.0035 0.003 on none msl none none 1.0 0.1 0.01 m2,s2,n2,k1,k2,o1,q1 1.00E-08 1200 10 95
New England NAC2014_R01_ClosedRivers.grd 3110470 implicit Powell 0.002 0.0 off 0.10900 msl none none ? 0.1 0.01 m2,s2,n2,k1,k2,o1,p1,q1 1.00E-07 n/a n/a n/a

In Tides

Many tide models are configured the same as the above surge models, although some users have reported poor tide performance if the minimum bottom drag coefficient is set to zero. One explanation of this difference in behavior is that the bottom drag differs between tidal and wind-driven flows. The vertical variation in horizontal flow is not known in a 2D model, making prescription of bottom drag ambiguous because the near-bottom velocity is unknown.

Discouraged Parameter Selections

As ADCIRC has grown, some features have been improved upon, making others obsolete. This section addresses such parameters and values.

NWS=19 should not be used, as NWS=20 has the same input requirements but is considered to produce a better, more physically representative wind field.