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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:
- to encourage the development of early career scientists in fields related to atmospheric science;
- to direct attention to timely scientific areas needing special emphasis;
- to help organize new science initiatives;
- to support interactions with universities;
- to promote continuing education at NCAR.
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.
Hyeyum Hailey Shin
Scale-Aware Vertical Transport Parameterization in the Convective Boundary Layer
An accurate modeling of turbulent transport in the planetary boundary layer (PBL) is essential for reliable weather and climate predictions, as it determines the states of the lower atmosphere through transmitting surface forcing to the upper atmosphere. In weather and climate models, the transport has been modeled using so-called PBL parameterization.