Steve Nerem is the leader of NASA’s Sea Level Change team. His project, Observation-Driven Projections of Future Regional Sea Level Change, focuses on using NASA satellite and in situ observations and climate modeling to estimate future regional sea level change.
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Read this interview with Kristopher Bedka to find out more about life as a Senior Research Scientist at NASA.
Charles Gatebe is a climate scientist who studies reflected sunlight to improve our understanding of the composition of the atmosphere and surface properties, including land and ocean, and impact on Earth's radiation budget and climate. Learn about how he conducts experiments and uses data from around the world.
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.
Check out this interview to learn more about Dr. Claire Parkinson's journey to become Senior Scientist researching Climate Change at NASA Goddard Space Flight Center.
Students consider the impact of changing conditions on the remote island of Little Diomede, Alaska after they investigate the relationship between seasonal trends in sea ice extent with shortwave and longwave radiation flux described in Earth’s energy budget.
Mechanical engineers design, develop, build, and test mechanical and thermal sensors and devices including tools, engines, and machines. These are essential systems in platforms in NASA's Earth Science missions, like satellite and airborne missions. Mechanical engineers work mostly in engineering services, research and development, and manufacturing.
Data scientists work with data captured by scientific instruments or generated by a simulator, as well as data that is processed by software and stored in computer systems. They work with scientists to analyze databases and files using data management techniques and statistics. From changes in sea level, atmospheric composition, or land use, data scientists help make sense of the petabytes of data that NASA collects and stores.
Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing. Many scientists develop new sensor systems, analytical techniques, or new applications for existing systems.