Space Sciences

The National Space Science Data Center (NSSDC) provides multidiscipline data and information services, including a large digital data archive from past NASA space science missions along with directories, catalogs, and access to widely distributed science data resources. The NSSDC is responsible for the long term archiving and preservation of all space science data. The NSSDC works closely in federation with the other Office of Space Science (OSS) sponsored discipline data centers. This federation is responsible for providing a coherent and coordinated OSS-wide data environment to improve quality, accessibility, and usability of NASAs space data holdings for scientists, educators, and the general public.

Welcome to the Hubble Space Telescope Project. Overview. Hubble operations. Hubble Technology. Servicing Missions. Project News. Image Gallery.

The NASA Goddard Institute for Space Studies (GISS), at Columbia University in New York City, is a division of NASA's Goddard Space Flight Center Earth Sciences Directorate and a unit of the Columbia University Earth Institute. Research at GISS emphasizes a broad study of global climate change.

The Center for Space Environment Modeling (CSEM) is an interdisciplinary research organization of the College of Engineering, the University of Michigan. CSEM is comprised of a tightly integrated group of faculty and students from the Department of Aerospace Engineering, the Department of Atmospheric, Oceanic and Space Sciences, and the Department of Electrical Engineering and Computer Science. As our nation's technologies deployed in space and on the ground become more sophisticated, they also become more vulnerable to various dynamic phenomena which occur in the near-Earth space environment. As a consequence, a national goal has been set to produce a physics-based model of the space environment, capable of providing accurate predictions of the environment in order to enable the operators of technologies to undertake mitigating practices to protect their assets from 'space weather' storms. The overall goal of CSEM is to develop high-performance, first-principles based computational models to describe and predict hazardous conditions in the near-earth space environment extending from the sun to the ionosphere, called space weather. In order to achieve predictive capability, the models must run considerably faster than real time on mid-size parallel computers. In order to achieve its ambitious goal CSEM spans accross discipline and departmental boundaries. Its participants combine expertize in modern numerical algorithms, high-performance computational science, and solar, interplanetary, magnetospheric, and ionospheric physics.