Water: Data, Analysis and Modeling

Dharhas Pothina

February 10th, 2014
Education

B.Tech Aerospace Engineering

Development of an axisymmetric Navier-Stokes solver for simulations of an open ended plasma torch

M.S. Aerospace Engineering

A Coupled Discontinuous/Continuous Finite Element Method for Hydrodynamic Simulations using the Shallow Water Equations

Ph.D. Civil Engineering

A multimodel approach to modeling bay circulation in shallow bay-ship channel systems
Algorithm Development
  • Strong winds
  • Relatively weak river inflows
  • Microtidal (tidal amplitudes <2m)
  • Shallow with dredged navigational channels

Conclusions

It works, see dissertation for details

Estuarine Modeling
Geospatial Analysis

AEIDW - Anisotropic Eliptical Inverse Distance Weighting

Image and Signal Processing

This Works, I promise

(foiled by Austin "it might be cold" day)

Informatics

(a.k.a. data munging)

SOAP?

REST?

How did I get myself into this?

Standards are like toothbrushes, everybody agrees you should have one, but no one wants to use yours. — Joe Croser

Informatics is more about people than technology

Build workflows that are:

  1. Pragmatic
  2. Meet the need
  3. Automated (or not, see 1)
  4. Extensible

  5. Above all: repeatable

Actually all that matters is that it is repeatable and extensible.
Management and Training

ulmo demo

Explore Vicksburg

Austin vs Vicksburg Snow Fight!

Questions?