Date/Time: April 15, 2015 (Wednesday) noon
Where: APS Classroom (123 Phenix Hall)
Speakers: Oel Scott, Hampton University Department of Architecture and Robert Damadeo, NASA Langley and Hampton University APS
Topics: Scott will speak on "Ronald E. McNair Atmospheric & Planetary Sciences Building"
Abstract: The Ronald E. McNair building was one of several proposed additional buildings designed in a 2013 Fall Architecture 4th year Studio. The studio analyzed the different departments across Hampton's Campus, and looked for building solutions to accommodate the increasing enrollment. The Atmospheric and Planetary Science department (APS) currently is split into several different buildings across the campus. This separation creates physical and mental barriers that block and potential transport of open communication. A single building was designed to house all of the APS needs: Classroom, Library, Labs, Break Rooms, Administrative Areas, Conference rooms, and more. The Ronald E McNair building, named after the brave american physicists and NASA astronaut, was also designed to have sustainable practices that worked with the surrounding environment. The resulting building is one that works efficiently for its inhabitants, has the character of an "Hampton University Building", and serves as a potential on-campus landmark inviting outsiders into the world of Atmospheric and Planetary Science.
Damadeo will speak on "Time-Series Analysis: A Cautionary Tale"
Abstract: Time-series analysis has often been a useful tool in atmospheric science for deriving long-term trends in various atmospherically important parameters (e.g., temperature or the concentration of trace gas species). In particular, time-series analysis has been repeatedly applied to satellite datasets in order to derive the long-term trends in stratospheric ozone, which is a critical atmospheric constituent. However, many of the potential pitfalls relating to the non-uniform sampling of the datasets were often ignored and the results presented by the scientific community have been unknowingly biased. A newly developed and more robust application of this technique is applied to the Stratospheric Aerosol and Gas Experiment (SAGE) II version 7.0 ozone dataset and the previous biases and newly derived trends are presented.
Parking Information
Directions for External Guests to HU:
To park your car, please first goto the main gate of the university -- if you tell the officers at the gate that you are visiting the atmospheric sciences dept and need to park, they should be able to guide you from there.
The campus map is here:
https://www.hamptonu.edu/visitor/parking.cfm