Independent Projects

Self-directed technical work outside client engagements and peer review — models, tools, and methods explored on my own initiative, documented the same way as everything else here: problem, approach, result.

Regional Operational Ocean Forecast for New York Bight

Regional Operational Ocean Forecast for New York Bight

A self-operated ROMS regional ocean forecast system for the New York Bight, running a daily 5-day forecast cycle for surface currents, water level, temperature, and salinity, with skill checked against NOAA tide gauges.

Result

The system runs a daily operational cycle whose water-level forecasts track the CO-OPS tide gauge record closely — correlation of 0.95 at Sandy Hook and 0.90 at Montauk — with comparable current skill (R of 0.88-0.89 against an NDBC buoy at Barnegat, NJ) and more mixed sea-surface temperature skill (R of 0.12-0.65 across five stations), tracked daily in the report below.

Hurricane Ike Beach and Dune Erosion Modeling on Bolivar Peninsula (XBeach)

Hurricane Ike Beach and Dune Erosion Modeling on Bolivar Peninsula (XBeach)

A physics-based storm-impact model of the Bolivar Peninsula barrier breach that Hurricane Ike reshaped in 2008, built from a real regional storm hindcast and checked against airborne pre- and post-storm lidar.

Result

The model reproduced the beachface erosion response well (correlation ~0.7 against the lidar record for erosion specifically) and, just as usefully, surfaced a genuine physical limitation of this class of model: it can’t reproduce the slower, wind-driven dune rebuilding that lidar shows occurred between storms – a clear, evidence-based line between what the model can and can’t do.

Coupled Wave-Surge Model Inter-comparison: Hurricane Harvey (ADCIRC-SWAN vs. SCHISM-WWM)

Coupled Wave-Surge Model Inter-comparison: Hurricane Harvey (ADCIRC-SWAN vs. SCHISM-WWM)

Comparing coupled ADCIRC-SWAN and SCHISM-WWM storm surge and wave models for the Galveston, Texas coast, nested from a Gulf of Mexico regional domain, against Hurricane Harvey (2017).

Result

At the regional Gulf-of-Mexico scale, SCHISM-WWM matched observed wave heights better than ADCIRC-SWAN and finished in roughly a third of the total compute. At the local Galveston scale, SCHISM-WWM reproduced roughly 70–90% of the observed storm-surge rise at the five open-coast and inlet gauges (correlation 0.68–0.89) and ADCIRC-SWAN roughly 30–45% (correlation 0.57–0.83). Local current speed is only about a third of the observed depth-averaged value: about half on tide-only days, and much less during the storm because the run has no river or rainfall inflow to drive the sustained outflow the current meter recorded. Two bay-interior gauges also don’t respond in the model at all — all documented below as open problems.

Coupled Wave-Surge Model Validation: Hurricane Ike (SCHISM-WWM)

Coupled Wave-Surge Model Validation: Hurricane Ike (SCHISM-WWM)

A nested Gulf-of-Mexico-to-Galveston SCHISM-WWM hindcast of Hurricane Ike (2008): wave, wind, current, and datum-corrected storm-surge validation at Gulf buoys and Galveston gauges, a wind-forcing bug whose fix repaired the storm’s structure but not its intensity, and an offshore-boundary fix that recovered lost wave energy.

Result

Found a real wind-forcing bug (a safety cap tuned for Harvey applied to a very different storm), then, separately, integrated a better GAHM+ERA5 wind blend shared with this project’s SWAN/WW3 workflows and relaunched first the local Galveston domain, then the Gulf-of-Mexico parent domain, with it. The new wind cuts peak-wind RMSE by about 40% at buoy 42035 (53 → 34 m/s vs. 27.9 m/s observed) and by about the same at the nearest Gulf buoy, 42001 (peak 52 → 35 m/s vs. 30 m/s observed); every other Gulf buoy is essentially unchanged, since the refit only bites near the storm core. Local wave height still correlates well with observations (r=0.89), but storm surge got worse, not better: with the old, overly strong wind the model reached 88% of the recorded peak at Galveston Pier 21; with the corrected, weaker wind it reaches 66%, and every one of five gauges moved further from its observed peak. The old wind’s overestimate had been silently compensating for a separate surge shortfall — fixing one bug exposed another. In deep water the better wind helped only partly: Hs at 42001 fell from 40% too high to 30% too high despite the local wind’s peak dropping by a third, and 42002’s waves, whose local wind barely changed, stayed just as high. The 2D barotropic model cannot reproduce the observed deep-water current at 42002 either way. Tidal current at the Galveston Bay Entrance is still only about half of NOAA’s predicted speed — the same shortfall found for Harvey, on a different mesh.

Wave Model Grid Comparison: Hurricane Harvey (WW3 to SWAN, Structured vs. Unstructured)

Wave Model Grid Comparison: Hurricane Harvey (WW3 to SWAN, Structured vs. Unstructured)

A regional WAVEWATCH III model of the Gulf of Mexico run on a structured grid and on an unstructured mesh, each nested into a local SWAN model of Galveston, for Hurricane Harvey and checked against NDBC buoys for wave height, period, direction and wind.

Result

The two grids agree within 3.8% on peak wave height in deep water and 2.5% at the Galveston harbor entrance, and both follow the buoys closely (wave-height correlation 0.79 to 0.98). The structured run took 44 minutes and the unstructured run 176 minutes, 4.0 times longer. The comparison also exposed a depth sign-convention error that had silently marked about 98% of the unstructured mesh as dry, which made it under-predict waves by a factor of 5 to 6 until it was fixed.

Wave Model Grid Comparison: Hurricane Ike (WW3 to SWAN, Structured vs. Unstructured)

Wave Model Grid Comparison: Hurricane Ike (WW3 to SWAN, Structured vs. Unstructured)

A regional WAVEWATCH III model of the Gulf of Mexico run on a structured grid and on an unstructured mesh, each nested into a local SWAN model of Galveston, for Hurricane Ike (2008) and checked against NDBC buoys — including a diagnosis and partial fix of a Galveston under-prediction that turned out to be a bottom-friction and nest-numerics issue, not a grid-resolution one.

Result

Surge/currents and swell dissipation made no difference. Two real, additive causes were found: WW3’s default bottom friction was too strong for this shelf (switching to SWAN’s own default value fixed about 30% of the pre-landfall deficit, and helped every other Gulf buoy too), and the SWAN nest’s default time step was too coarse for its propagation scheme. Combined, Galveston’s RMSE improved from 1.64 m to 1.21–1.33 m and its landfall peak from 4.50 m to 5.26–5.30 m against 6.03 m observed. A standalone single-domain SWAN run reached 0.70 m RMSE at the same buoy under the same wind, showing a real, unexplained WW3-vs-SWAN physics difference remains — documented rather than chased further. Both fixes are now the pipeline default for this storm.

Compound Flood Simulation of Hurricane Harvey in Houston-Galveston (SFINCS)

Compound Flood Simulation of Hurricane Harvey in Houston-Galveston (SFINCS)

A 10-day SFINCS compound-flood simulation of Hurricane Harvey over Houston and Galveston Bay, forced by real rainfall, a coastal-surge boundary from my own SCHISM-WWM hindcast and river discharge, and checked against 838 high-water marks, tide stations and stream gauges.

Result

Peak water levels at the 838 true high-water marks have a bias of +0.28 m (RMSE 1.87 m), and the three NOAA tide stations agree within 0.32 m. The validation also exposed two things worth knowing: 114 apparent marks along Buffalo Bayou were surveyed a week or more after the peak and are not comparable, and the model has no infiltration, so it runs about 2 m high along Buffalo and Whiteoak Bayous and its flood extent is an upper bound.

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