Host: Remote Sensing Solutions, Inc.
Remote Sensing Solutions, Inc. (RSS), is a small research and development (R&D) company based in Monrovia, California. Scientists at RSS are leading flood prediction, coastal ocean modeling, data assimilation, and real-time prediction efforts with collaborators at NASA Jet Propulsion Laboratory and UCLA Joint Institute for Regional Earth System Science and Engineering.
Location: Monrovia (map)
Internship Dates: June 5 - August 18, 2017; start and end dates are flexible with regard to student’s academic commitments.
Time Commitment: The internship is a full time, 11-week commitment. Over the 11 weeks, the intern may take up to five days off for personal reasons, vacation or illness. If participation is less than 100%, the stipend will be pro-rated.
Position Description and Responsibilities: One (1) internship is available working with scientists at the RSS Monrovia office, which is co-leading a NASA-funded effort to produce global flood hazard maps including coastal flooding. Enhanced flood risk maps will be produced from a combination of state-of-the-art computer modeling, global MODIS satellite imagery and Google’s big data analytics Earth Engine. These maps will help increase societal resilience to flooding and better assist flood disaster response teams during high magnitude events worldwide. The goal of this project is to deliver these maps seamlessly to end-users using web mapping services in order to allow maximum data interoperability. The intern will be involved in the further development and refinement of this effort, specifically investigating the implementation of a coastal water flux boundary for the flood model. Specific tasks include: (1) processing the observational coastal water level data, including quality control, for a selected use case, probably the Zambezi River at the Indian Ocean inlet; (2) running the 2-dimensional LISFLOOD-FP inland-coastal flood model for this use case; (3) processing satellite data of floods in that coastal area; and (4) evaluating the model output with the satellite data and visualizing model performance.
Preferred Experience and Capabilities: Experience with geophysical fluid dynamics and numerical modeling (e.g., river and coastal flooding, hydrological modeling) is desirable although not required. Also, knowledgeable in computer language scripting, such as Matlab or Python are desirable.
Skills Gained: Intern will gain hands-on experience in scientific research in the field of flood inundation mapping and prediction, including coastal environments, using both satellite image data and numerical modeling. Specific skills gained include image data processing, numerical modeling, and result visualization.
Eligibility/Requirements: The internship is intended for upperclassmen (juniors/seniors) and graduate students. Applicants must have completed courses in mathematics, physics, engineering, statistics, and environmental or Earth sciences including hydrology. Interns must be able to keep excellent laboratory notes, get along well with others, maintain professionalism, and be reliable. Applicants are also subject to additional eligibility and requirements that can be found here.