Jet Propulsion Laboratory
4800 Oak Grove Drive
Pasadena, CA 91109
Email: Click here
Alex Fore is currently working on several estimation algorithms, including a variational data assimilation scheme using meso-scale hurricane simulations to retrieve the near-surface wind fields, and on several aspects of the Aquarius mission's salinity retrieval algorithm. Past projects include a study of lattice Boltzmann methods to solve the Navier-Stokes equations numerically.
PhD in Physics (2007) from Carnegie-Mellon University
BS in Physics (2004) from Carnegie-Mellon University
AB in Physics (2002) from Vassar College
In addition to environmental remote sensing, Alex continues to be interested in qubit-theft-proof quantum codecs, and the formulation, discretization and implementation of lattice Boltzmann models that can capture different physical phenomena, such as multi-phase flow problems, diffusion problems between species with different masses, flows in porous media, flows of immiscible species, and interfacial instabilities in flows of immiscible species.
Before joining JPL in 2008, Alex developed a lattice Boltzmann model for the flow of immiscible fluids in a Hele-Shaw cell and demonstrated the capability of the model to simulate the Saffman-Taylor instability and resulting non-linear dynamics.
Fore, A., Z. Haddad, E. Rodriguez, T. N. Krishnamurti,
"Scatterometry Retrievals of Wind in Hurricanes Using Non-Simultaneous Passive Microwave Estimates of Precipitation and a Split-Step Advection/Convection Model,"
Pure Appl. Geophys. 168,