Postdoctoral Research Associate in multi-angle passive cloud remote sensing for inner/outer structure and motion retrieval
NASA Jet Propulsion Laboratory / California Institute of Technology
The Jet Propulsion Laboratory is a unique national research facility that carries out robotic space and Earth science missions. JPL helped open the Space Age by developing America’s first Earth-orbiting science satellite, creating the first successful interplanetary spacecraft, and sending robotic missions to study all the planets in the solar system as well as asteroids, comets and Earth’s moon. In addition to its missions, JPL developed and manages NASA’s Deep Space Network, a worldwide system of antennas that communicates with interplanetary spacecraft. JPL is a federally funded research and development center managed for NASA by Caltech.
Earth and Space Science Informatics (ESSI)
Nonlinear Processes in Geosciences (NP)
The task is to use forward and inverse physics-based 3D radiative transfer modeling to advance the challenge of 3D tomographic reconstruction of clouds using multi-angle imager data from ground-based, airborne and satellite sensors, both in existence and being designed for future deployment. As part of this effort, the appointee will support a sensor-level Observation System Simulation Experiment (OSSE) focused on the joint retrieval of cloud top height and motion vectors at a range of spatial resolutions using either one or two space-based platforms.
The candidate must have a PhD in Atmospheric Science, Physics, Electrical Engineering, Computer Science, Applied Math, or a related field, with a background in cloud remote sensing using imaging sensors and/or sensor systems. Experience with three-dimensional radiative transfer in clouds and cloud fields generated with a Large Eddy Simulation (LES) model is required. Experience with the solution of large ill-posed inverse problems is highly desired.