Advanced Study Program (ASP)
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Welcome to the advanced Study Program
The Advanced Study Program (ASP) is unique in its encompassing support of NCAR goals and objectives. The ASP mission, broadly defined, is to help NCAR and the scientific communities it serves prepare for the future. We work across scientific disciplines in support of other NCAR units with these objectives:
NCAR Diversity Committee
New:
The ASP is now accepting applications for the ASP Postdoctoral Fellowship Program and the NCAR/CDC Postdoctoral Fellowship Program.
Our Programs... at a glance
Postdoctoral Fellowship Program
The postdoctoral program provides an opportunity for recent-Ph.D. scientists to continue to pursue their research interests in atmospheric and related science. The program also invites postdoctorates from a variety of disciplines to apply their training to research in the atmospheric sciences.
Faculty Fellowship Program
The Faculty Fellowship Program provides opportunities and resources for faculty employed at universities to work in residence at NCAR, and enables NCAR Scientists to spend a period of time in residence at US universities.
Graduate Student Visitor Program
The Graduate Student Visitor Program is designed to provide NCAR staff opportunities to bring graduate students to NCAR for 3 to 12-month collaborative visits with the endorsement of their thesis advisors and in pursuit of their thesis research. These visits have the goal of enhancing NCAR partnerships with other public and private institutions.
ASP Spotlight:
Wei-Yu Chang
Characterizing the observational uncertainty of dual-polarimetric radar measurement using variational algorithm
Understanding the error characteristic of dual-polarimetric radar measurement can help us avoid using low quality measurement for microphysical interpretation or quantitative precipitation estimation. A statistical diagnostic method with variational technique combines observation, analysis, and background information estimates the "case dependent" measurement error covariance matrix (R) in observation space was developed. The spatial correlations of measurement error were characterized and studied as well.
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